#qc_check (correct)

Final data 1

Final data 2

Table 1 HRS_reversal_new

table1_check_0508_HRS_reversal_new

table1_check_0508_hrs_responders

table1_check_0508_hrs_responders_cat_2

table1_time_to_death_status_90days

table1_check_0508_HRS_criteria_3

followup HRS_reversal_new

HRS_reversal_new

hrs_responders

hrs_responders_cat_2

HRS_criteria_3

time_to_death_status_90days

Hospital Course Instrument table 1 HRS_reversal_new

hospitalization_course HRS_reversal_new

hospitalization_course hrs_responders

hospitalization_course hrs_responders_cat_2

hospitalization_course time_to_death_status_90days

hospitalization_course HRS_criteria_3

HRS Clinical Course Instrument

HRS_reversal_new

hrs_responders

hrs_responders_cat_2

HRS_criteria_3

time_to_death_status_90days

numerical_vars HRS_reversal_new

numerical_vars_formula <- as.formula(paste("~", paste(numerical_vars, collapse = "+"),"|HRS_reversal_new"))
table1(numerical_vars_formula,data = final_master)
0
(N=168)
1
(N=75)
Overall
(N=243)
age
Mean (SD) 56.4 (10.8) 55.7 (10.9) 56.2 (10.8)
Median [Min, Max] 58.0 [30.5, 79.1] 56.2 [28.3, 77.1] 57.6 [28.3, 79.1]
scr_admit
Mean (SD) 2.51 (1.15) 1.99 (0.974) 2.35 (1.13)
Median [Min, Max] 2.50 [0.340, 6.00] 1.76 [0.490, 6.70] 2.23 [0.340, 6.70]
Missing 5 (3.0%) 2 (2.7%) 7 (2.9%)
tbili_admit
Mean (SD) 11.4 (12.3) 8.82 (9.75) 10.6 (11.6)
Median [Min, Max] 5.35 [0.500, 55.7] 4.50 [0.400, 37.2] 5.00 [0.400, 55.7]
Missing 6 (3.6%) 2 (2.7%) 8 (3.3%)
inr_admit
Mean (SD) 2.05 (0.730) 1.88 (0.670) 1.99 (0.715)
Median [Min, Max] 1.90 [1.00, 4.90] 1.70 [1.10, 4.80] 1.80 [1.00, 4.90]
Missing 5 (3.0%) 2 (2.7%) 7 (2.9%)
sodium_admit
Mean (SD) 132 (6.59) 129 (6.53) 131 (6.69)
Median [Min, Max] 133 [113, 147] 130 [113, 143] 132 [113, 147]
Missing 7 (4.2%) 2 (2.7%) 9 (3.7%)
albumin_admit
Mean (SD) 3.13 (0.696) 3.07 (0.778) 3.11 (0.721)
Median [Min, Max] 3.00 [1.30, 5.00] 2.90 [1.70, 5.00] 3.00 [1.30, 5.00]
Missing 7 (4.2%) 2 (2.7%) 9 (3.7%)
lactate_admit
Mean (SD) 7.64 (23.7) 12.1 (36.1) 9.16 (28.5)
Median [Min, Max] 2.30 [0.500, 188] 2.80 [0.900, 180] 2.65 [0.500, 188]
Missing 93 (55.4%) 36 (48.0%) 129 (53.1%)
nsbb_dose_preadmission
Mean (SD) 26.2 (27.3) 30.0 (28.2) 27.5 (27.3)
Median [Min, Max] 12.5 [2.50, 100] 20.0 [6.25, 100] 16.3 [2.50, 100]
Missing 139 (82.7%) 60 (80.0%) 199 (81.9%)
mido_dose_preadmission
Mean (SD) 24.8 (15.3) 19.5 (12.9) 23.0 (14.6)
Median [Min, Max] 17.5 [5.00, 65.0] 15.0 [2.50, 45.0] 15.0 [2.50, 65.0]
Missing 116 (69.0%) 49 (65.3%) 165 (67.9%)
baseline_scr
Mean (SD) 1.58 (0.932) 1.18 (0.668) 1.46 (0.879)
Median [Min, Max] 1.35 [0.310, 5.31] 1.01 [0.400, 4.49] 1.24 [0.310, 5.31]
Missing 1 (0.6%) 0 (0%) 1 (0.4%)
baseline_scr_days_to_admit
Mean (SD) 41.0 (157) 30.6 (29.0) 37.8 (132)
Median [Min, Max] 13.5 [0, 1970] 23.0 [0, 108] 15.0 [0, 1970]
transfer_aki_days_toadmit
Mean (SD) 6.79 (6.01) 7.17 (7.63) 6.88 (6.38)
Median [Min, Max] 6.50 [0, 28.0] 3.00 [0, 28.0] 6.00 [0, 28.0]
Missing 110 (65.5%) 57 (76.0%) 167 (68.7%)
days_admit_to_aki
Mean (SD) 5.93 (30.4) 2.51 (4.29) 4.86 (25.4)
Median [Min, Max] 1.00 [0, 366] 1.00 [0, 20.0] 1.00 [0, 366]
Missing 3 (1.8%) 0 (0%) 3 (1.2%)
aki_weight
Mean (SD) 88.4 (23.0) 83.0 (22.1) 86.7 (22.8)
Median [Min, Max] 85.1 [45.2, 163] 83.0 [33.7, 145] 83.9 [33.7, 163]
Missing 1 (0.6%) 0 (0%) 1 (0.4%)
aki_height
Mean (SD) 170 (16.6) 169 (10.1) 170 (14.9)
Median [Min, Max] 170 [1.65, 201] 170 [145, 191] 170 [1.65, 201]
Missing 1 (0.6%) 0 (0%) 1 (0.4%)
aki_hr
Mean (SD) 88.4 (16.2) 93.0 (17.5) 89.8 (16.7)
Median [Min, Max] 89.0 [53.0, 128] 93.5 [53.0, 127] 90.0 [53.0, 128]
Missing 7 (4.2%) 1 (1.3%) 8 (3.3%)
aki_sbp
Mean (SD) 102 (15.9) 100 (17.1) 102 (16.3)
Median [Min, Max] 101 [53.0, 172] 98.0 [70.0, 150] 100 [53.0, 172]
Missing 7 (4.2%) 1 (1.3%) 8 (3.3%)
aki_dbp
Mean (SD) 58.0 (10.6) 57.7 (14.4) 57.9 (11.9)
Median [Min, Max] 57.0 [32.0, 96.0] 56.5 [16.0, 98.0] 57.0 [16.0, 98.0]
Missing 7 (4.2%) 1 (1.3%) 8 (3.3%)
aki_map
Mean (SD) 72.8 (10.9) 71.9 (13.5) 72.5 (11.8)
Median [Min, Max] 72.3 [39.0, 102] 69.7 [49.0, 114] 71.7 [39.0, 114]
Missing 7 (4.2%) 1 (1.3%) 8 (3.3%)
aki_pao2
Mean (SD) 94.0 (27.6) 89.1 (26.8) 92.4 (27.4)
Median [Min, Max] 86.0 [54.7, 150] 81.9 [48.7, 150] 86.0 [48.7, 150]
Missing 50 (29.8%) 18 (24.0%) 68 (28.0%)
fio2_aki
Mean (SD) 9.58 (10.4) 10.6 (15.4) 9.90 (12.1)
Median [Min, Max] 0.210 [0.210, 21.0] 0.290 [0.210, 100] 0.210 [0.210, 100]
Missing 17 (10.1%) 8 (10.7%) 25 (10.3%)
scr_aki
Mean (SD) 2.54 (1.05) 2.15 (0.966) 2.42 (1.04)
Median [Min, Max] 2.49 [0.950, 6.00] 1.90 [1.12, 8.00] 2.20 [0.950, 8.00]
bun_aki
Mean (SD) 47.8 (24.8) 42.1 (17.2) 46.0 (22.8)
Median [Min, Max] 41.3 [2.00, 146] 40.0 [12.0, 96.0] 40.0 [2.00, 146]
Missing 7 (4.2%) 0 (0%) 7 (2.9%)
albumin_aki
Mean (SD) 3.01 (0.679) 3.02 (0.710) 3.01 (0.688)
Median [Min, Max] 2.95 [1.20, 5.00] 2.95 [1.70, 4.50] 2.95 [1.20, 5.00]
Missing 16 (9.5%) 5 (6.7%) 21 (8.6%)
inr_aki
Mean (SD) 2.01 (0.673) 1.94 (0.725) 1.99 (0.688)
Median [Min, Max] 1.83 [1.00, 5.10] 1.70 [1.10, 4.80] 1.80 [1.00, 5.10]
Missing 26 (15.5%) 11 (14.7%) 37 (15.2%)
wbc_aki
Mean (SD) 11.1 (9.51) 10.2 (6.66) 10.9 (8.72)
Median [Min, Max] 9.23 [1.00, 100] 8.09 [1.20, 34.0] 8.40 [1.00, 100]
Missing 12 (7.1%) 5 (6.7%) 17 (7.0%)
plt_aki
Mean (SD) 121 (92.3) 127 (86.5) 123 (90.4)
Median [Min, Max] 90.0 [2.00, 533] 99.0 [17.0, 456] 94.5 [2.00, 533]
Missing 8 (4.8%) 3 (4.0%) 11 (4.5%)
ecg_qtc
Mean (SD) 453 (73.6) 453 (35.0) 453 (64.7)
Median [Min, Max] 460 [0.360, 670] 454 [386, 534] 457 [0.360, 670]
Missing 24 (14.3%) 16 (21.3%) 40 (16.5%)
days_to_echo
Mean (SD) 26.0 (50.4) 28.5 (71.8) 26.8 (58.1)
Median [Min, Max] 7.00 [0, 312] 3.00 [0, 370] 5.00 [0, 370]
Missing 49 (29.2%) 17 (22.7%) 66 (27.2%)
echo_ef
Mean (SD) 66.6 (6.20) 65.7 (5.96) 66.3 (6.12)
Median [Min, Max] 66.0 [53.0, 83.0] 65.0 [51.0, 78.0] 66.0 [51.0, 83.0]
Missing 45 (26.8%) 16 (21.3%) 61 (25.1%)
echo_lateral_e
Mean (SD) 11.3 (3.35) 11.1 (4.22) 11.2 (3.68)
Median [Min, Max] 11.0 [1.02, 18.4] 12.0 [0.140, 17.0] 11.0 [0.140, 18.4]
Missing 120 (71.4%) 46 (61.3%) 166 (68.3%)
echo_trpeak
Mean (SD) 156 (119) 145 (142) 152 (126)
Median [Min, Max] 220 [1.00, 305] 230 [2.10, 343] 225 [1.00, 343]
Missing 131 (78.0%) 56 (74.7%) 187 (77.0%)
echo_gls
Mean (SD) -2.94 (23.7) 1.66 (23.9) -1.63 (23.4)
Median [Min, Max] -18.4 [-26.7, 40.0] 1.09 [-21.8, 26.1] -18.4 [-26.7, 40.0]
Missing 148 (88.1%) 67 (89.3%) 215 (88.5%)
echo_earatio
Mean (SD) 1.27 (1.05) 1.13 (0.405) 1.22 (0.874)
Median [Min, Max] 1.05 [0.400, 9.10] 1.08 [0.600, 2.30] 1.05 [0.400, 9.10]
Missing 101 (60.1%) 37 (49.3%) 138 (56.8%)
echo_rvsp
Mean (SD) 34.1 (14.4) 34.9 (8.81) 34.4 (12.7)
Median [Min, Max] 33.0 [2.00, 82.0] 34.0 [22.0, 53.0] 33.0 [2.00, 82.0]
Missing 116 (69.0%) 48 (64.0%) 164 (67.5%)
echo_pasp
Mean (SD) 27.2 (19.7) 49.7 (33.7) 33.3 (25.5)
Median [Min, Max] 29.0 [3.00, 76.0] 39.0 [29.0, 117] 30.0 [3.00, 117]
Missing 152 (90.5%) 69 (92.0%) 221 (90.9%)
echo_lavi
Mean (SD) 32.1 (12.1) 34.4 (12.2) 32.8 (12.1)
Median [Min, Max] 32.0 [6.32, 69.0] 32.0 [15.0, 74.0] 32.0 [6.32, 74.0]
Missing 72 (42.9%) 30 (40.0%) 102 (42.0%)
echo_tr
Mean (SD) 11.2 (37.5) 61.2 (121) 29.5 (81.0)
Median [Min, Max] 2.60 [1.92, 166] 2.80 [2.10, 339] 2.64 [1.92, 339]
Missing 149 (88.7%) 64 (85.3%) 213 (87.7%)
totalalbumin_before_terli
Mean (SD) 237 (170) 269 (211) 247 (184)
Median [Min, Max] 200 [0.838, 1230] 206 [12.5, 1010] 200 [0.838, 1230]
Missing 20 (11.9%) 5 (6.7%) 25 (10.3%)
albvolume_before_terli
Mean (SD) 1030 (917) 1220 (987) 1090 (941)
Median [Min, Max] 800 [12.5, 8300] 1000 [150, 5650] 900 [12.5, 8300]
Missing 25 (14.9%) 10 (13.3%) 35 (14.4%)
saline_vol_before_terli
Mean (SD) 1190 (1310) 1150 (1070) 1170 (1220)
Median [Min, Max] 750 [8.00, 5400] 1000 [26.0, 5630] 1000 [8.00, 5630]
Missing 109 (64.9%) 43 (57.3%) 152 (62.6%)
lr_volume_before_terli
Mean (SD) 1990 (2440) 1570 (1320) 1860 (2150)
Median [Min, Max] 1470 [400, 15300] 1000 [500, 5000] 1250 [400, 15300]
Missing 126 (75.0%) 56 (74.7%) 182 (74.9%)
other_cryst_before_terli
Mean (SD) 1550 (2330) NA (NA) 1550 (2330)
Median [Min, Max] 512 [83.0, 5680] NA [NA, NA] 512 [83.0, 5680]
Missing 163 (97.0%) 75 (100%) 238 (97.9%)
prbc_qaunt_before_terli
Mean (SD) 3.51 (5.45) 2.51 (1.90) 3.21 (4.68)
Median [Min, Max] 2.00 [0, 33.0] 2.00 [1.00, 8.00] 2.00 [0, 33.0]
Missing 114 (67.9%) 52 (69.3%) 166 (68.3%)
totalvolume_before_terli
Mean (SD) 11000 (29700) 7650 (9860) 10000 (25400)
Median [Min, Max] 4680 [0, 284000] 4170 [240, 55400] 4650 [0, 284000]
Missing 22 (13.1%) 12 (16.0%) 34 (14.0%)
total_uo_before_terli
Mean (SD) 6300 (15000) 4710 (7020) 5820 (13100)
Median [Min, Max] 1960 [0, 116000] 2560 [0, 41400] 2100 [0, 116000]
Missing 26 (15.5%) 14 (18.7%) 40 (16.5%)
days_first_mido_before_terli
Mean (SD) 3.31 (8.44) 20.6 (102) 8.88 (58.4)
Median [Min, Max] 1.00 [0, 84.0] 1.00 [0, 727] 1.00 [0, 727]
Missing 50 (29.8%) 19 (25.3%) 69 (28.4%)
days_total_mido_before_terli
Mean (SD) 7.48 (13.8) 8.84 (10.9) 7.92 (12.9)
Median [Min, Max] 5.00 [0, 143] 5.50 [1.00, 64.0] 5.00 [0, 143]
Missing 51 (30.4%) 19 (25.3%) 70 (28.8%)
mido_maxdose_before_terli
10 12 (7.1%) 2 (2.7%) 14 (5.8%)
15 17 (10.1%) 5 (6.7%) 22 (9.1%)
20 10 (6.0%) 3 (4.0%) 13 (5.3%)
22.5 1 (0.6%) 0 (0%) 1 (0.4%)
25 2 (1.2%) 0 (0%) 2 (0.8%)
30 32 (19.0%) 17 (22.7%) 49 (20.2%)
35 1 (0.6%) 0 (0%) 1 (0.4%)
40 3 (1.8%) 1 (1.3%) 4 (1.6%)
45 22 (13.1%) 13 (17.3%) 35 (14.4%)
5 6 (3.6%) 0 (0%) 6 (2.5%)
50 1 (0.6%) 0 (0%) 1 (0.4%)
55 3 (1.8%) 1 (1.3%) 4 (1.6%)
60 4 (2.4%) 7 (9.3%) 11 (4.5%)
65 1 (0.6%) 0 (0%) 1 (0.4%)
7.5 1 (0.6%) 1 (1.3%) 2 (0.8%)
70 1 (0.6%) 0 (0%) 1 (0.4%)
75 1 (0.6%) 0 (0%) 1 (0.4%)
100 0 (0%) 1 (1.3%) 1 (0.4%)
105 0 (0%) 1 (1.3%) 1 (0.4%)
2.5 0 (0%) 2 (2.7%) 2 (0.8%)
90 0 (0%) 2 (2.7%) 2 (0.8%)
Missing 50 (29.8%) 19 (25.3%) 69 (28.4%)
days_first_oct_before_terli
Mean (SD) 7.41 (40.0) 5.50 (10.6) 6.84 (34.0)
Median [Min, Max] 1.00 [0, 371] 2.00 [0, 60.0] 1.00 [0, 371]
Missing 82 (48.8%) 39 (52.0%) 121 (49.8%)
days_total_oct_before_terli
Mean (SD) 7.47 (16.2) 8.58 (11.2) 7.80 (14.8)
Median [Min, Max] 3.00 [0, 143] 5.50 [0, 64.0] 4.00 [0, 143]
Missing 82 (48.8%) 39 (52.0%) 121 (49.8%)
oct_maxdose_before_terli
Mean (SD) 411 (381) 428 (377) 416 (378)
Median [Min, Max] 300 [50.0, 1250] 300 [50.0, 1200] 300 [50.0, 1250]
Missing 82 (48.8%) 39 (52.0%) 121 (49.8%)
days_first_ne_before_terli
Mean (SD) 2.70 (4.50) 1.64 (2.16) 2.35 (3.89)
Median [Min, Max] 1.00 [0, 18.0] 1.00 [0, 7.00] 1.00 [0, 18.0]
Missing 145 (86.3%) 64 (85.3%) 209 (86.0%)
days_total_ne_before_terli
Mean (SD) 7.96 (9.73) 8.73 (8.70) 8.21 (9.28)
Median [Min, Max] 4.00 [0, 34.0] 6.00 [1.00, 26.0] 4.00 [0, 34.0]
Missing 145 (86.3%) 64 (85.3%) 209 (86.0%)
days_to_gihep_consult
Mean (SD) 4.27 (30.5) 4.43 (12.8) 4.32 (26.3)
Median [Min, Max] 1.00 [0, 372] 1.00 [0, 89.0] 1.00 [0, 372]
Missing 18 (10.7%) 8 (10.7%) 26 (10.7%)
days_to_neph_consult
Mean (SD) 8.44 (42.2) 4.14 (5.32) 7.16 (35.5)
Median [Min, Max] 2.00 [0, 372] 2.00 [0, 25.0] 2.00 [0, 372]
Missing 15 (8.9%) 10 (13.3%) 25 (10.3%)
days_to_pall_consult
Mean (SD) 12.3 (15.2) 22.1 (40.2) 14.2 (22.1)
Median [Min, Max] 9.00 [0, 93.0] 11.0 [0, 162] 9.00 [0, 162]
Missing 103 (61.3%) 60 (80.0%) 163 (67.1%)
days_ua_hrs
Mean (SD) 3.57 (11.9) 4.74 (9.46) 3.92 (11.2)
Median [Min, Max] 1.00 [0, 140] 1.00 [0, 58.0] 1.00 [0, 140]
Missing 12 (7.1%) 7 (9.3%) 19 (7.8%)
days_ua_na_hrs
Mean (SD) 4.26 (12.5) 4.47 (9.31) 4.33 (11.5)
Median [Min, Max] 1.00 [0, 140] 1.00 [0, 58.0] 1.00 [0, 140]
Missing 25 (14.9%) 9 (12.0%) 34 (14.0%)
ua_na_value_hrs
Mean (SD) 19.7 (17.3) 19.9 (16.5) 19.7 (17.0)
Median [Min, Max] 19.0 [5.00, 140] 19.0 [9.00, 103] 19.0 [5.00, 140]
Missing 25 (14.9%) 9 (12.0%) 34 (14.0%)
days_ua_cr_hrs
Mean (SD) 5.15 (14.1) 6.77 (16.4) 5.68 (14.9)
Median [Min, Max] 1.50 [0, 143] 1.00 [0, 108] 1.00 [0, 143]
Missing 52 (31.0%) 18 (24.0%) 70 (28.8%)
ua_cr_value_hrs
Mean (SD) 138 (66.7) 142 (70.2) 140 (67.7)
Median [Min, Max] 127 [30.0, 418] 135 [27.4, 378] 128 [27.4, 418]
Missing 52 (31.0%) 18 (24.0%) 70 (28.8%)
days_ua_urea_hrs
Mean (SD) 4.48 (5.89) 4.59 (8.29) 4.52 (6.83)
Median [Min, Max] 2.00 [0, 23.0] 1.00 [0, 35.0] 1.00 [0, 35.0]
Missing 114 (67.9%) 43 (57.3%) 157 (64.6%)
ua_urea_value_hrs
Mean (SD) 536 (224) 506 (216) 525 (220)
Median [Min, Max] 517 [2.80, 1180] 474 [82.0, 923] 513 [2.80, 1180]
Missing 114 (67.9%) 43 (57.3%) 157 (64.6%)
feurea_hrs
Mean (SD) 26.1 (18.7) 21.0 (14.0) 24.2 (17.1)
Median [Min, Max] 24.3 [1.93, 124] 19.6 [4.32, 77.1] 21.2 [1.93, 124]
Missing 120 (71.4%) 46 (61.3%) 166 (68.3%)
ua_rbc_hrs
Mean (SD) 17.1 (34.3) 13.1 (27.6) 15.8 (32.4)
Median [Min, Max] 3.00 [0, 182] 2.00 [0, 151] 2.00 [0, 182]
Missing 39 (23.2%) 16 (21.3%) 55 (22.6%)
uaprotein_hrs
Mean (SD) 72.3 (131) 32.9 (114) 58.6 (126)
Median [Min, Max] 5.59 [0, 530] 0.525 [0, 730] 2.00 [0, 730]
Missing 89 (53.0%) 33 (44.0%) 122 (50.2%)
temp_terli_day0
Mean (SD) 36.9 (4.73) 36.7 (0.426) 36.8 (3.94)
Median [Min, Max] 36.6 [34.1, 97.5] 36.6 [35.6, 38.2] 36.6 [34.1, 97.5]
hr_terli_day0
Mean (SD) 78.1 (16.1) 80.8 (17.0) 79.0 (16.4)
Median [Min, Max] 79.0 [39.0, 124] 82.0 [45.0, 124] 80.0 [39.0, 124]
pao2_terli_day0
Mean (SD) 103 (53.8) 98.6 (26.0) 102 (46.9)
Median [Min, Max] 90.6 [49.0, 616] 86.0 [56.0, 150] 88.0 [49.0, 616]
Missing 41 (24.4%) 18 (24.0%) 59 (24.3%)
fio2_terli_day0
Mean (SD) 0.218 (0.0467) 0.231 (0.0886) 0.222 (0.0623)
Median [Min, Max] 0.210 [0.0197, 0.600] 0.210 [0.210, 0.730] 0.210 [0.0197, 0.730]
Missing 8 (4.8%) 7 (9.3%) 15 (6.2%)
sbp_terli_day0_time0
Mean (SD) 109 (15.6) 106 (12.4) 108 (14.7)
Median [Min, Max] 108 [80.0, 157] 103 [86.0, 141] 106 [80.0, 157]
Missing 17 (10.1%) 9 (12.0%) 26 (10.7%)
map_terli_day0_time0
Mean (SD) 69.3 (25.0) 65.8 (25.8) 68.2 (25.3)
Median [Min, Max] 73.3 [0, 138] 73.0 [0, 98.3] 73.2 [0, 138]
Missing 1 (0.6%) 0 (0%) 1 (0.4%)
chloride_terli_day0
Mean (SD) 101 (6.87) 99.8 (7.18) 100 (6.97)
Median [Min, Max] 101 [80.0, 119] 101 [80.0, 118] 101 [80.0, 119]
bicarb_terli_day0
Mean (SD) 18.4 (4.00) 19.8 (3.70) 18.8 (3.96)
Median [Min, Max] 19.0 [7.00, 32.0] 20.0 [12.0, 29.0] 19.0 [7.00, 32.0]
Missing 4 (2.4%) 1 (1.3%) 5 (2.1%)
scr_terli_day0
Mean (SD) 3.18 (0.973) 2.43 (0.733) 2.95 (0.968)
Median [Min, Max] 2.99 [1.23, 5.79] 2.29 [1.28, 5.02] 2.79 [1.23, 5.79]
bun_terli_day0
Mean (SD) 58.6 (24.0) 52.3 (23.5) 56.6 (24.0)
Median [Min, Max] 56.0 [5.00, 132] 49.0 [17.0, 145] 54.0 [5.00, 145]
Missing 2 (1.2%) 0 (0%) 2 (0.8%)
ast_terli_day0
Mean (SD) 72.1 (63.4) 60.0 (46.4) 68.4 (58.9)
Median [Min, Max] 55.0 [1.22, 405] 47.0 [12.0, 254] 51.5 [1.22, 405]
Missing 9 (5.4%) 6 (8.0%) 15 (6.2%)
alt_terli_day0
Mean (SD) 31.5 (28.3) 29.0 (27.4) 30.7 (28.0)
Median [Min, Max] 23.0 [4.00, 209] 21.0 [4.00, 169] 23.0 [4.00, 209]
Missing 9 (5.4%) 6 (8.0%) 15 (6.2%)
bili_terli_day0
Mean (SD) 12.5 (13.5) 9.37 (10.6) 11.6 (12.7)
Median [Min, Max] 6.10 [0.300, 57.3] 4.45 [0.800, 41.2] 5.60 [0.300, 57.3]
Missing 10 (6.0%) 5 (6.7%) 15 (6.2%)
alb_terli_day0
Mean (SD) 3.48 (0.547) 3.60 (0.550) 3.52 (0.550)
Median [Min, Max] 3.50 [2.10, 4.80] 3.60 [2.10, 5.00] 3.50 [2.10, 5.00]
Missing 11 (6.5%) 4 (5.3%) 15 (6.2%)
inr_terli_day0
Mean (SD) 2.27 (0.823) 2.08 (0.645) 2.21 (0.777)
Median [Min, Max] 2.15 [1.00, 6.90] 2.00 [1.20, 4.10] 2.10 [1.00, 6.90]
Missing 32 (19.0%) 16 (21.3%) 48 (19.8%)
wbc_terli_day0
Mean (SD) 9.64 (6.50) 8.28 (5.17) 9.22 (6.14)
Median [Min, Max] 7.89 [1.50, 41.3] 6.60 [2.80, 26.9] 7.30 [1.50, 41.3]
Missing 7 (4.2%) 2 (2.7%) 9 (3.7%)
hgb_terli_day0
Mean (SD) 8.35 (1.40) 8.36 (1.24) 8.35 (1.35)
Median [Min, Max] 8.00 [5.30, 12.9] 8.20 [6.20, 11.9] 8.00 [5.30, 12.9]
Missing 2 (1.2%) 2 (2.7%) 4 (1.6%)
Discont_Day
Mean (SD) 3.49 (2.78) 5.21 (3.09) 4.02 (2.98)
Median [Min, Max] 3.00 [1.00, 13.0] 4.00 [1.00, 13.0] 3.00 [1.00, 13.0]
na_terli_day0
Mean (SD) 133 (5.85) 132 (5.09) 132 (5.63)
Median [Min, Max] 133 [120, 147] 132 [119, 145] 133 [119, 147]
days_to_terli_initiation_day0
Mean (SD) 7.38 (12.4) 8.48 (9.75) 7.72 (11.6)
Median [Min, Max] 4.00 [0, 143] 6.00 [1.00, 64.0] 5.00 [0, 143]
clif_c_score
Mean (SD) 43.3 (8.26) 39.2 (7.80) 42.0 (8.32)
Median [Min, Max] 42.3 [19.6, 62.4] 38.9 [24.6, 58.4] 41.4 [19.6, 62.4]
Missing 7 (4.2%) 2 (2.7%) 9 (3.7%)
admit_meld
Mean (SD) 28.4 (7.73) 24.6 (7.20) 27.2 (7.75)
Median [Min, Max] 28.0 [8.00, 48.0] 24.0 [11.0, 39.0] 27.0 [8.00, 48.0]
Missing 6 (3.6%) 2 (2.7%) 8 (3.3%)
admit_meld_na
Mean (SD) 30.3 (6.66) 28.5 (5.88) 29.7 (6.47)
Median [Min, Max] 30.0 [12.0, 46.0] 28.5 [13.0, 39.0] 30.0 [12.0, 46.0]
Missing 8 (4.8%) 3 (4.0%) 11 (4.5%)
admit_meld_3
Mean (SD) 31.8 (7.68) 29.4 (6.63) 31.1 (7.44)
Median [Min, Max] 32.0 [5.00, 50.0] 30.0 [12.0, 41.0] 31.0 [5.00, 50.0]
admit_meld_3_raw
Mean (SD) 31.9 (7.87) 29.3 (6.71) 31.1 (7.60)
Median [Min, Max] 32.0 [5.00, 50.0] 30.0 [12.0, 41.0] 31.0 [5.00, 50.0]
Missing 8 (4.8%) 2 (2.7%) 10 (4.1%)
day0_meld
Mean (SD) 32.5 (7.23) 28.9 (7.35) 31.5 (7.44)
Median [Min, Max] 33.0 [17.0, 51.0] 29.0 [16.0, 44.0] 32.0 [16.0, 51.0]
Missing 35 (20.8%) 18 (24.0%) 53 (21.8%)
day0_meld_na
Mean (SD) 33.5 (6.52) 30.9 (6.42) 32.7 (6.59)
Median [Min, Max] 34.0 [18.0, 50.0] 31.0 [16.0, 44.0] 34.0 [16.0, 50.0]
Missing 35 (20.8%) 18 (24.0%) 53 (21.8%)
day0_meld_3
Mean (SD) 35.3 (7.77) 32.2 (7.53) 34.4 (7.81)
Median [Min, Max] 37.0 [13.0, 53.0] 33.0 [10.0, 45.0] 35.0 [10.0, 53.0]
Missing 38 (22.6%) 19 (25.3%) 57 (23.5%)
time_to_transplant
Mean (SD) 38.7 (48.3) 47.0 (52.3) 41.0 (49.2)
Median [Min, Max] 19.0 [4.00, 199] 21.0 [2.00, 167] 20.0 [2.00, 199]
Missing 117 (69.6%) 56 (74.7%) 173 (71.2%)
time_to_death_status
0 92 (54.8%) 48 (64.0%) 140 (57.6%)
1 76 (45.2%) 27 (36.0%) 103 (42.4%)
cystatinc_admit
Mean (SD) 2.98 (0.812) 2.84 (0.711) 2.94 (0.777)
Median [Min, Max] 2.93 [1.16, 4.20] 2.81 [1.80, 3.90] 2.89 [1.16, 4.20]
Missing 144 (85.7%) 66 (88.0%) 210 (86.4%)
cystatinc_aki
Mean (SD) 2.69 (0.934) 3.08 (0.883) 2.79 (0.914)
Median [Min, Max] 2.67 [1.23, 4.16] 3.02 [2.19, 4.10] 2.71 [1.23, 4.16]
Missing 154 (91.7%) 70 (93.3%) 224 (92.2%)
cystatinc_terli_day0
Mean (SD) 3.10 (1.26) 2.69 (0.720) 2.95 (1.10)
Median [Min, Max] 3.27 [0.239, 6.10] 2.87 [1.52, 3.90] 2.91 [0.239, 6.10]
Missing 151 (89.9%) 66 (88.0%) 217 (89.3%)
urine_pc
Mean (SD) 0.670 (1.27) 0.234 (0.710) 0.517 (1.12)
Median [Min, Max] 0.116 [0, 7.07] 0.0109 [0, 4.27] 0.0736 [0, 7.07]
Missing 100 (59.5%) 38 (50.7%) 138 (56.8%)
fena
Mean (SD) 0.549 (1.77) 0.405 (0.856) 0.501 (1.53)
Median [Min, Max] 0.217 [0.0228, 17.2] 0.175 [0.0498, 5.07] 0.211 [0.0228, 17.2]
Missing 62 (36.9%) 21 (28.0%) 83 (34.2%)
fena_hrs
Mean (SD) 0.541 (1.45) 0.424 (0.818) 0.502 (1.28)
Median [Min, Max] 0.243 [0.0327, 14.0] 0.176 [0.0469, 4.48] 0.220 [0.0327, 14.0]
Missing 57 (33.9%) 20 (26.7%) 77 (31.7%)
time_to_death_90days
Mean (SD) 57.0 (36.2) 66.8 (31.6) 60.0 (35.0)
Median [Min, Max] 90.0 [1.00, 90.0] 90.0 [3.00, 90.0] 90.0 [1.00, 90.0]
total_albumin
Mean (SD) 92.7 (99.6) 82.4 (108) 89.5 (102)
Median [Min, Max] 75.0 [0, 500] 50.0 [0, 700] 62.5 [0, 700]

num_hrs_clinical_course_variables HRS_reversal_new

num_hrs_clinical_course_variables_formula <- as.formula(paste("~", paste(num_hrs_clinical_course_variables, collapse = "+"),"|HRS_reversal_new"))
table1(num_hrs_clinical_course_variables_formula,data = final_master)
0
(N=168)
1
(N=75)
Overall
(N=243)
scr_day1_post_terli
Mean (SD) 3.10 (1.36) 1.30 (0.247) 2.53 (1.41)
Median [Min, Max] 2.67 [1.29, 8.84] 1.30 [0.700, 1.80] 2.15 [0.700, 8.84]
Missing 25 (14.9%) 8 (10.7%) 33 (13.6%)
scr_day2_post_terli
Mean (SD) 2.92 (1.32) 1.35 (0.344) 2.44 (1.33)
Median [Min, Max] 2.60 [1.24, 8.73] 1.32 [0.640, 2.44] 2.07 [0.640, 8.73]
Missing 35 (20.8%) 15 (20.0%) 50 (20.6%)
scr_day3_post_terli
Mean (SD) 2.75 (1.28) 1.38 (0.408) 2.33 (1.26)
Median [Min, Max] 2.43 [0.990, 7.56] 1.34 [0.600, 3.13] 1.97 [0.600, 7.56]
Missing 39 (23.2%) 19 (25.3%) 58 (23.9%)
scr_day4_post_terli
Mean (SD) 2.69 (1.24) 1.57 (0.696) 2.38 (1.22)
Median [Min, Max] 2.42 [0.940, 6.97] 1.50 [0.630, 4.47] 2.01 [0.630, 6.97]
Missing 44 (26.2%) 28 (37.3%) 72 (29.6%)
scr_day5_post_terli
Mean (SD) 2.70 (1.31) 1.57 (0.770) 2.38 (1.28)
Median [Min, Max] 2.46 [0.910, 7.07] 1.44 [0.650, 5.42] 1.92 [0.650, 7.07]
Missing 51 (30.4%) 28 (37.3%) 79 (32.5%)
scr_day6_post_terli
Mean (SD) 2.69 (1.22) 1.60 (0.791) 2.39 (1.22)
Median [Min, Max] 2.54 [0.770, 7.22] 1.48 [0.630, 4.98] 2.13 [0.630, 7.22]
Missing 61 (36.3%) 35 (46.7%) 96 (39.5%)
scr_day7_post_terli
Mean (SD) 2.75 (1.31) 1.68 (0.844) 2.51 (1.30)
Median [Min, Max] 2.51 [0.670, 7.25] 1.40 [0.800, 5.13] 2.21 [0.670, 7.25]
Missing 57 (33.9%) 42 (56.0%) 99 (40.7%)
scr_day8_post_terli
Mean (SD) 2.63 (1.32) 1.70 (0.936) 2.41 (1.30)
Median [Min, Max] 2.37 [0.620, 7.58] 1.50 [0.700, 5.69] 2.07 [0.620, 7.58]
Missing 60 (35.7%) 41 (54.7%) 101 (41.6%)
scr_day9_post_terli
Mean (SD) 2.63 (1.40) 1.63 (0.691) 2.38 (1.33)
Median [Min, Max] 2.39 [0.730, 7.60] 1.46 [0.700, 3.62] 2.02 [0.700, 7.60]
Missing 71 (42.3%) 42 (56.0%) 113 (46.5%)
scr_day10_post_terli
Mean (SD) 2.55 (1.56) 1.55 (0.685) 2.29 (1.45)
Median [Min, Max] 2.08 [0.840, 8.80] 1.38 [0.700, 3.48] 1.92 [0.700, 8.80]
Missing 78 (46.4%) 44 (58.7%) 122 (50.2%)
scr_day11_post_terli
Mean (SD) 2.47 (1.42) 1.52 (0.784) 2.22 (1.35)
Median [Min, Max] 2.14 [0.770, 8.50] 1.33 [0.640, 4.01] 1.81 [0.640, 8.50]
Missing 81 (48.2%) 44 (58.7%) 125 (51.4%)
scr_day12_post_terli
Mean (SD) 2.45 (1.40) 1.62 (0.901) 2.22 (1.33)
Median [Min, Max] 2.10 [0.570, 8.00] 1.43 [0.600, 4.29] 1.80 [0.570, 8.00]
Missing 90 (53.6%) 46 (61.3%) 136 (56.0%)
scr_day13_post_terli
Mean (SD) 2.50 (1.48) 1.61 (0.938) 2.26 (1.41)
Median [Min, Max] 2.12 [0.650, 9.60] 1.40 [0.700, 4.48] 1.94 [0.650, 9.60]
Missing 92 (54.8%) 47 (62.7%) 139 (57.2%)
scr_day14_post_terli
Mean (SD) 2.47 (1.36) 1.57 (0.995) 2.25 (1.33)
Median [Min, Max] 2.19 [0.530, 8.40] 1.30 [0.520, 4.17] 1.87 [0.520, 8.40]
Missing 94 (56.0%) 51 (68.0%) 145 (59.7%)
days_to_hrsreversal
Mean (SD) 22.5 (27.1) 13.9 (14.8) 16.8 (20.0)
Median [Min, Max] 16.0 [1.00, 154] 11.0 [3.00, 113] 11.0 [1.00, 154]
Missing 136 (81.0%) 11 (14.7%) 147 (60.5%)
days_to_hrsrecovery
Mean (SD) 19.1 (11.7) 15.3 (18.0) 16.5 (16.3)
Median [Min, Max] 18.5 [6.00, 49.0] 11.0 [3.00, 114] 12.0 [3.00, 114]
Missing 150 (89.3%) 36 (48.0%) 186 (76.5%)
recurrentaki_number
Mean (SD) 1.33 (0.606) 1.19 (0.402) 1.27 (0.522)
Median [Min, Max] 1.00 [1.00, 3.00] 1.00 [1.00, 2.00] 1.00 [1.00, 3.00]
Missing 138 (82.1%) 49 (65.3%) 187 (77.0%)
days_to_recurrentaki
Mean (SD) 24.0 (22.9) 25.2 (23.6) 24.6 (23.0)
Median [Min, Max] 15.5 [8.00, 107] 19.5 [8.00, 128] 16.0 [8.00, 128]
Missing 138 (82.1%) 49 (65.3%) 187 (77.0%)
nadirhospit_scr
Mean (SD) 1.54 (0.777) 1.09 (0.261) 1.40 (0.695)
Median [Min, Max] 1.41 [0.270, 3.93] 1.10 [0.460, 1.57] 1.24 [0.270, 3.93]
Missing 1 (0.6%) 1 (1.3%) 2 (0.8%)
peakhospit_scr
Mean (SD) 4.06 (1.46) 2.82 (1.06) 3.68 (1.46)
Median [Min, Max] 4.00 [1.58, 11.1] 2.55 [1.40, 8.00] 3.39 [1.40, 11.1]
Missing 1 (0.6%) 1 (1.3%) 2 (0.8%)
days_to_peakhospitscr
Mean (SD) 12.1 (14.6) 7.16 (9.54) 10.6 (13.4)
Median [Min, Max] 9.00 [0, 144] 4.00 [0, 48.0] 7.00 [0, 144]
Missing 1 (0.6%) 1 (1.3%) 2 (0.8%)
days_to_rrt
Mean (SD) 12.2 (7.43) 14.9 (9.48) 12.6 (7.71)
Median [Min, Max] 11.0 [1.00, 33.0] 15.5 [0, 28.0] 11.0 [0, 33.0]
Missing 103 (61.3%) 65 (86.7%) 168 (69.1%)

num_hospitalization_course_variables HRS_reversal_new

num_hospitalization_course_variables_formula <- as.formula(paste("~", paste(num_hrs_clinical_course_variables, collapse = "+"),"|HRS_reversal_new"))
table1(num_hospitalization_course_variables_formula,data = final_master)
0
(N=168)
1
(N=75)
Overall
(N=243)
scr_day1_post_terli
Mean (SD) 3.10 (1.36) 1.30 (0.247) 2.53 (1.41)
Median [Min, Max] 2.67 [1.29, 8.84] 1.30 [0.700, 1.80] 2.15 [0.700, 8.84]
Missing 25 (14.9%) 8 (10.7%) 33 (13.6%)
scr_day2_post_terli
Mean (SD) 2.92 (1.32) 1.35 (0.344) 2.44 (1.33)
Median [Min, Max] 2.60 [1.24, 8.73] 1.32 [0.640, 2.44] 2.07 [0.640, 8.73]
Missing 35 (20.8%) 15 (20.0%) 50 (20.6%)
scr_day3_post_terli
Mean (SD) 2.75 (1.28) 1.38 (0.408) 2.33 (1.26)
Median [Min, Max] 2.43 [0.990, 7.56] 1.34 [0.600, 3.13] 1.97 [0.600, 7.56]
Missing 39 (23.2%) 19 (25.3%) 58 (23.9%)
scr_day4_post_terli
Mean (SD) 2.69 (1.24) 1.57 (0.696) 2.38 (1.22)
Median [Min, Max] 2.42 [0.940, 6.97] 1.50 [0.630, 4.47] 2.01 [0.630, 6.97]
Missing 44 (26.2%) 28 (37.3%) 72 (29.6%)
scr_day5_post_terli
Mean (SD) 2.70 (1.31) 1.57 (0.770) 2.38 (1.28)
Median [Min, Max] 2.46 [0.910, 7.07] 1.44 [0.650, 5.42] 1.92 [0.650, 7.07]
Missing 51 (30.4%) 28 (37.3%) 79 (32.5%)
scr_day6_post_terli
Mean (SD) 2.69 (1.22) 1.60 (0.791) 2.39 (1.22)
Median [Min, Max] 2.54 [0.770, 7.22] 1.48 [0.630, 4.98] 2.13 [0.630, 7.22]
Missing 61 (36.3%) 35 (46.7%) 96 (39.5%)
scr_day7_post_terli
Mean (SD) 2.75 (1.31) 1.68 (0.844) 2.51 (1.30)
Median [Min, Max] 2.51 [0.670, 7.25] 1.40 [0.800, 5.13] 2.21 [0.670, 7.25]
Missing 57 (33.9%) 42 (56.0%) 99 (40.7%)
scr_day8_post_terli
Mean (SD) 2.63 (1.32) 1.70 (0.936) 2.41 (1.30)
Median [Min, Max] 2.37 [0.620, 7.58] 1.50 [0.700, 5.69] 2.07 [0.620, 7.58]
Missing 60 (35.7%) 41 (54.7%) 101 (41.6%)
scr_day9_post_terli
Mean (SD) 2.63 (1.40) 1.63 (0.691) 2.38 (1.33)
Median [Min, Max] 2.39 [0.730, 7.60] 1.46 [0.700, 3.62] 2.02 [0.700, 7.60]
Missing 71 (42.3%) 42 (56.0%) 113 (46.5%)
scr_day10_post_terli
Mean (SD) 2.55 (1.56) 1.55 (0.685) 2.29 (1.45)
Median [Min, Max] 2.08 [0.840, 8.80] 1.38 [0.700, 3.48] 1.92 [0.700, 8.80]
Missing 78 (46.4%) 44 (58.7%) 122 (50.2%)
scr_day11_post_terli
Mean (SD) 2.47 (1.42) 1.52 (0.784) 2.22 (1.35)
Median [Min, Max] 2.14 [0.770, 8.50] 1.33 [0.640, 4.01] 1.81 [0.640, 8.50]
Missing 81 (48.2%) 44 (58.7%) 125 (51.4%)
scr_day12_post_terli
Mean (SD) 2.45 (1.40) 1.62 (0.901) 2.22 (1.33)
Median [Min, Max] 2.10 [0.570, 8.00] 1.43 [0.600, 4.29] 1.80 [0.570, 8.00]
Missing 90 (53.6%) 46 (61.3%) 136 (56.0%)
scr_day13_post_terli
Mean (SD) 2.50 (1.48) 1.61 (0.938) 2.26 (1.41)
Median [Min, Max] 2.12 [0.650, 9.60] 1.40 [0.700, 4.48] 1.94 [0.650, 9.60]
Missing 92 (54.8%) 47 (62.7%) 139 (57.2%)
scr_day14_post_terli
Mean (SD) 2.47 (1.36) 1.57 (0.995) 2.25 (1.33)
Median [Min, Max] 2.19 [0.530, 8.40] 1.30 [0.520, 4.17] 1.87 [0.520, 8.40]
Missing 94 (56.0%) 51 (68.0%) 145 (59.7%)
days_to_hrsreversal
Mean (SD) 22.5 (27.1) 13.9 (14.8) 16.8 (20.0)
Median [Min, Max] 16.0 [1.00, 154] 11.0 [3.00, 113] 11.0 [1.00, 154]
Missing 136 (81.0%) 11 (14.7%) 147 (60.5%)
days_to_hrsrecovery
Mean (SD) 19.1 (11.7) 15.3 (18.0) 16.5 (16.3)
Median [Min, Max] 18.5 [6.00, 49.0] 11.0 [3.00, 114] 12.0 [3.00, 114]
Missing 150 (89.3%) 36 (48.0%) 186 (76.5%)
recurrentaki_number
Mean (SD) 1.33 (0.606) 1.19 (0.402) 1.27 (0.522)
Median [Min, Max] 1.00 [1.00, 3.00] 1.00 [1.00, 2.00] 1.00 [1.00, 3.00]
Missing 138 (82.1%) 49 (65.3%) 187 (77.0%)
days_to_recurrentaki
Mean (SD) 24.0 (22.9) 25.2 (23.6) 24.6 (23.0)
Median [Min, Max] 15.5 [8.00, 107] 19.5 [8.00, 128] 16.0 [8.00, 128]
Missing 138 (82.1%) 49 (65.3%) 187 (77.0%)
nadirhospit_scr
Mean (SD) 1.54 (0.777) 1.09 (0.261) 1.40 (0.695)
Median [Min, Max] 1.41 [0.270, 3.93] 1.10 [0.460, 1.57] 1.24 [0.270, 3.93]
Missing 1 (0.6%) 1 (1.3%) 2 (0.8%)
peakhospit_scr
Mean (SD) 4.06 (1.46) 2.82 (1.06) 3.68 (1.46)
Median [Min, Max] 4.00 [1.58, 11.1] 2.55 [1.40, 8.00] 3.39 [1.40, 11.1]
Missing 1 (0.6%) 1 (1.3%) 2 (0.8%)
days_to_peakhospitscr
Mean (SD) 12.1 (14.6) 7.16 (9.54) 10.6 (13.4)
Median [Min, Max] 9.00 [0, 144] 4.00 [0, 48.0] 7.00 [0, 144]
Missing 1 (0.6%) 1 (1.3%) 2 (0.8%)
days_to_rrt
Mean (SD) 12.2 (7.43) 14.9 (9.48) 12.6 (7.71)
Median [Min, Max] 11.0 [1.00, 33.0] 15.5 [0, 28.0] 11.0 [0, 33.0]
Missing 103 (61.3%) 65 (86.7%) 168 (69.1%)

num_followup_variables HRS_reversal_new

num_followup_variables_formula <- as.formula(paste("~", paste(num_followup_variables, collapse = "+"),"|HRS_reversal_new"))
table1(num_followup_variables_formula,data = final_master)
0
(N=168)
1
(N=75)
Overall
(N=243)
dc_aki_recurrence_number
Mean (SD) 1.38 (1.21) 1.39 (0.722) 1.38 (1.03)
Median [Min, Max] 1.00 [0, 7.00] 1.00 [1.00, 3.00] 1.00 [0, 7.00]
Missing 136 (81.0%) 52 (69.3%) 188 (77.4%)
days_to_aki_recurrence
Mean (SD) 42.3 (90.1) 20.3 (17.9) 33.1 (70.1)
Median [Min, Max] 14.0 [1.00, 379] 12.0 [2.00, 58.0] 13.0 [1.00, 379]
Missing 136 (81.0%) 52 (69.3%) 188 (77.4%)
dc_days_lastencounter
Mean (SD) 147 (99.4) 168 (133) 154 (112)
Median [Min, Max] 109 [0, 472] 117 [0, 561] 111 [0, 561]
Missing 83 (49.4%) 30 (40.0%) 113 (46.5%)
dc_days_to_death
Mean (SD) 55.1 (41.6) 66.1 (36.4) 58.5 (40.3)
Median [Min, Max] 90.0 [0, 95.0] 90.0 [0, 90.0] 90.0 [0, 95.0]
Missing 1 (0.6%) 0 (0%) 1 (0.4%)
days_to_lost_to_followup
Mean (SD) 1.10 (8.28) 1.76 (10.7) 1.30 (9.09)
Median [Min, Max] 0 [0, 85.0] 0 [0, 71.0] 0 [0, 85.0]
dc_days_lt
Mean (SD) 152 (187) 232 (274) 176 (217)
Median [Min, Max] 53.5 [2.00, 692] 129 [2.00, 855] 78.5 [2.00, 855]
Missing 136 (81.0%) 61 (81.3%) 197 (81.1%)
dc_scr_90day_postlt_value
Mean (SD) 1.58 (0.586) 1.57 (0.965) 1.58 (0.726)
Median [Min, Max] 1.50 [0.420, 2.93] 1.15 [0.690, 3.92] 1.32 [0.420, 3.92]
Missing 119 (70.8%) 51 (68.0%) 170 (70.0%)
dc_days_to_90dayscr_lt
Mean (SD) 177 (142) 222 (223) 191 (169)
Median [Min, Max] 121 [0, 613] 117 [22.0, 662] 118 [0, 662]
Missing 138 (82.1%) 62 (82.7%) 200 (82.3%)
dc_days_to_neph_followup
Mean (SD) 45.4 (39.7) 40.6 (29.2) 44.3 (37.3)
Median [Min, Max] 36.0 [3.00, 168] 30.5 [15.0, 103] 33.0 [3.00, 168]
Missing 140 (83.3%) 67 (89.3%) 207 (85.2%)
dc_days_to_gihep_followup
Mean (SD) 46.6 (71.6) 31.5 (25.3) 42.1 (61.9)
Median [Min, Max] 22.0 [1.00, 368] 26.0 [5.00, 103] 22.0 [1.00, 368]
Missing 103 (61.3%) 48 (64.0%) 151 (62.1%)
dc_scr30_value
Mean (SD) 2.19 (1.31) 1.45 (0.665) 1.94 (1.18)
Median [Min, Max] 1.82 [0.440, 6.15] 1.21 [0.670, 4.04] 1.69 [0.440, 6.15]
Missing 88 (52.4%) 34 (45.3%) 122 (50.2%)
dc_days_scr30
Mean (SD) 36.8 (15.0) 37.5 (12.8) 37.1 (14.3)
Median [Min, Max] 32.0 [1.00, 111] 32.0 [17.0, 84.0] 32.0 [1.00, 111]
Missing 88 (52.4%) 34 (45.3%) 122 (50.2%)
dc_scr60_value
Mean (SD) 1.74 (0.804) 1.74 (0.977) 1.74 (0.865)
Median [Min, Max] 1.49 [0.480, 4.37] 1.35 [0.700, 4.71] 1.45 [0.480, 4.71]
Missing 99 (58.9%) 37 (49.3%) 136 (56.0%)
dc_days_scr60
Mean (SD) 64.5 (16.7) 69.8 (21.1) 66.4 (18.4)
Median [Min, Max] 62.0 [1.00, 143] 64.0 [17.0, 143] 63.0 [1.00, 143]
Missing 99 (58.9%) 37 (49.3%) 136 (56.0%)
dc_scr90_value
Mean (SD) 1.65 (0.851) 1.70 (0.929) 1.67 (0.874)
Median [Min, Max] 1.50 [0.460, 6.18] 1.24 [0.600, 4.10] 1.49 [0.460, 6.18]
Missing 95 (56.5%) 39 (52.0%) 134 (55.1%)
dc_days_scr91
Mean (SD) 101 (28.8) 125 (54.1) 109 (40.4)
Median [Min, Max] 95.0 [1.00, 255] 99.0 [17.0, 279] 97.0 [1.00, 279]
Missing 95 (56.5%) 39 (52.0%) 134 (55.1%)
days_to_last_encounter_1yr
Mean (SD) 225 (172) 274 (182) 242 (175)
Median [Min, Max] 201 [7.00, 516] 322 [0, 562] 278 [0, 562]
Missing 136 (81.0%) 59 (78.7%) 195 (80.2%)
days_to_death_1yr
Mean (SD) 36.9 (85.2) 53.0 (86.7) 41.4 (85.5)
Median [Min, Max] 1.00 [0, 382] 21.0 [0, 328] 3.00 [0, 382]
Missing 92 (54.8%) 46 (61.3%) 138 (56.8%)
days_lastencounter_1yr
Mean (SD) 110 (166) 75.5 (61.5) 91.0 (115)
Median [Min, Max] 10.0 [0, 387] 66.0 [0, 171] 61.0 [0, 387]
Missing 163 (97.0%) 69 (92.0%) 232 (95.5%)
scr_value_1yr
Mean (SD) 1.61 (0.823) 1.59 (1.28) 1.60 (0.980)
Median [Min, Max] 1.40 [0.570, 4.61] 1.20 [0.400, 6.67] 1.40 [0.400, 6.67]
Missing 122 (72.6%) 54 (72.0%) 176 (72.4%)
days_to_scr_1yr
Mean (SD) 302 (117) 265 (131) 290 (122)
Median [Min, Max] 344 [1.00, 484] 315 [0, 405] 339 [0, 484]
Missing 122 (72.6%) 54 (72.0%) 176 (72.4%)
days_to_lt_1yr
Mean (SD) 49.5 (67.8) 50.1 (49.3) 49.7 (62.9)
Median [Min, Max] 24.0 [0, 360] 30.0 [4.00, 156] 25.5 [0, 360]
Missing 126 (75.0%) 59 (78.7%) 185 (76.1%)

numerical_vars hrs_responders

numerical_vars_formula <- as.formula(paste("~", paste(numerical_vars, collapse = "+"),"|hrs_responders"))
table1(numerical_vars_formula,data = final_master %>% drop_na(hrs_responders))
0
(N=109)
1
(N=62)
2
(N=72)
Overall
(N=243)
age
Mean (SD) 54.9 (11.3) 57.3 (10.8) 57.1 (10.2) 56.2 (10.8)
Median [Min, Max] 57.0 [30.5, 79.1] 59.9 [30.2, 74.3] 57.7 [28.3, 77.1] 57.6 [28.3, 79.1]
scr_admit
Mean (SD) 2.36 (1.19) 2.33 (1.05) 2.36 (1.10) 2.35 (1.13)
Median [Min, Max] 2.18 [0.340, 6.00] 2.30 [0.620, 5.31] 2.20 [0.490, 6.70] 2.23 [0.340, 6.70]
Missing 4 (3.7%) 2 (3.2%) 1 (1.4%) 7 (2.9%)
tbili_admit
Mean (SD) 13.3 (13.1) 9.85 (11.4) 7.30 (8.26) 10.6 (11.6)
Median [Min, Max] 8.10 [0.500, 55.7] 4.80 [0.800, 46.1] 4.00 [0.400, 38.9] 5.00 [0.400, 55.7]
Missing 5 (4.6%) 2 (3.2%) 1 (1.4%) 8 (3.3%)
inr_admit
Mean (SD) 2.05 (0.720) 2.07 (0.803) 1.84 (0.607) 1.99 (0.715)
Median [Min, Max] 1.86 [1.10, 4.60] 1.90 [1.00, 4.90] 1.70 [1.00, 4.20] 1.80 [1.00, 4.90]
Missing 4 (3.7%) 2 (3.2%) 1 (1.4%) 7 (2.9%)
sodium_admit
Mean (SD) 132 (6.43) 131 (6.40) 130 (7.23) 131 (6.69)
Median [Min, Max] 133 [113, 146] 131 [114, 147] 131 [113, 145] 132 [113, 147]
Missing 5 (4.6%) 3 (4.8%) 1 (1.4%) 9 (3.7%)
albumin_admit
Mean (SD) 3.02 (0.657) 3.29 (0.880) 3.10 (0.644) 3.11 (0.721)
Median [Min, Max] 2.95 [1.30, 5.00] 3.20 [1.80, 5.00] 3.00 [1.70, 4.80] 3.00 [1.30, 5.00]
Missing 5 (4.6%) 3 (4.8%) 1 (1.4%) 9 (3.7%)
lactate_admit
Mean (SD) 11.6 (36.4) 3.96 (5.36) 9.78 (25.9) 9.16 (28.5)
Median [Min, Max] 2.30 [0.500, 188] 2.70 [1.40, 27.0] 3.20 [0.900, 147] 2.65 [0.500, 188]
Missing 56 (51.4%) 33 (53.2%) 40 (55.6%) 129 (53.1%)
nsbb_dose_preadmission
Mean (SD) 21.5 (24.7) 38.3 (33.4) 24.7 (22.5) 27.5 (27.3)
Median [Min, Max] 12.5 [2.50, 100] 25.0 [6.25, 100] 16.3 [6.25, 80.0] 16.3 [2.50, 100]
Missing 92 (84.4%) 49 (79.0%) 58 (80.6%) 199 (81.9%)
mido_dose_preadmission
Mean (SD) 23.4 (14.7) 27.2 (16.9) 19.8 (12.7) 23.0 (14.6)
Median [Min, Max] 15.0 [5.00, 65.0] 30.0 [5.00, 60.0] 15.0 [2.50, 45.0] 15.0 [2.50, 65.0]
Missing 74 (67.9%) 45 (72.6%) 46 (63.9%) 165 (67.9%)
baseline_scr
Mean (SD) 1.40 (0.849) 1.31 (0.939) 1.67 (0.842) 1.46 (0.879)
Median [Min, Max] 1.26 [0.310, 5.25] 0.930 [0.480, 5.31] 1.40 [0.580, 4.49] 1.24 [0.310, 5.31]
Missing 0 (0%) 1 (1.6%) 0 (0%) 1 (0.4%)
baseline_scr_days_to_admit
Mean (SD) 46.4 (190) 31.9 (39.8) 29.9 (49.1) 37.8 (132)
Median [Min, Max] 15.0 [0, 1970] 16.5 [0, 242] 14.0 [0, 366] 15.0 [0, 1970]
transfer_aki_days_toadmit
Mean (SD) 6.36 (5.88) 5.76 (4.28) 9.11 (8.66) 6.88 (6.38)
Median [Min, Max] 5.50 [0, 22.0] 5.00 [0, 15.0] 9.00 [0, 28.0] 6.00 [0, 28.0]
Missing 73 (67.0%) 41 (66.1%) 53 (73.6%) 167 (68.7%)
days_admit_to_aki
Mean (SD) 7.64 (37.5) 2.49 (3.53) 2.66 (4.53) 4.86 (25.4)
Median [Min, Max] 0 [0, 366] 1.00 [0, 13.0] 1.00 [0, 20.0] 1.00 [0, 366]
Missing 1 (0.9%) 1 (1.6%) 1 (1.4%) 3 (1.2%)
aki_weight
Mean (SD) 88.9 (23.3) 84.7 (23.6) 85.1 (21.4) 86.7 (22.8)
Median [Min, Max] 83.6 [45.2, 163] 86.1 [51.2, 159] 82.6 [33.7, 145] 83.9 [33.7, 163]
Missing 1 (0.9%) 0 (0%) 0 (0%) 1 (0.4%)
aki_height
Mean (SD) 172 (9.92) 169 (10.5) 168 (22.3) 170 (14.9)
Median [Min, Max] 173 [149, 193] 168 [145, 193] 170 [1.65, 201] 170 [1.65, 201]
Missing 1 (0.9%) 0 (0%) 0 (0%) 1 (0.4%)
aki_hr
Mean (SD) 88.9 (16.2) 92.1 (15.5) 89.3 (18.2) 89.8 (16.7)
Median [Min, Max] 89.0 [55.0, 123] 91.0 [55.0, 128] 91.0 [53.0, 124] 90.0 [53.0, 128]
Missing 3 (2.8%) 3 (4.8%) 2 (2.8%) 8 (3.3%)
aki_sbp
Mean (SD) 103 (16.2) 100 (13.1) 100 (18.8) 102 (16.3)
Median [Min, Max] 100 [76.0, 172] 100 [71.0, 137] 101 [53.0, 150] 100 [53.0, 172]
Missing 3 (2.8%) 3 (4.8%) 2 (2.8%) 8 (3.3%)
aki_dbp
Mean (SD) 58.2 (10.3) 55.9 (13.2) 59.1 (12.9) 57.9 (11.9)
Median [Min, Max] 58.0 [33.0, 96.0] 55.0 [16.0, 85.0] 58.0 [32.0, 98.0] 57.0 [16.0, 98.0]
Missing 3 (2.8%) 3 (4.8%) 2 (2.8%) 8 (3.3%)
aki_map
Mean (SD) 73.1 (10.7) 70.8 (11.4) 72.9 (13.4) 72.5 (11.8)
Median [Min, Max] 72.3 [47.3, 102] 70.3 [47.0, 102] 70.8 [39.0, 114] 71.7 [39.0, 114]
Missing 3 (2.8%) 3 (4.8%) 2 (2.8%) 8 (3.3%)
aki_pao2
Mean (SD) 93.2 (28.0) 89.5 (26.4) 93.4 (27.5) 92.4 (27.4)
Median [Min, Max] 86.0 [54.7, 150] 79.5 [53.0, 145] 86.0 [48.7, 145] 86.0 [48.7, 150]
Missing 28 (25.7%) 20 (32.3%) 20 (27.8%) 68 (28.0%)
fio2_aki
Mean (SD) 8.82 (10.3) 11.9 (16.0) 9.89 (10.8) 9.90 (12.1)
Median [Min, Max] 0.210 [0.210, 21.0] 0.300 [0.210, 100] 0.305 [0.210, 30.0] 0.210 [0.210, 100]
Missing 10 (9.2%) 7 (11.3%) 8 (11.1%) 25 (10.3%)
scr_aki
Mean (SD) 2.38 (1.04) 2.43 (1.01) 2.47 (1.08) 2.42 (1.04)
Median [Min, Max] 2.02 [0.950, 6.00] 2.26 [1.02, 5.31] 2.27 [1.24, 8.00] 2.20 [0.950, 8.00]
bun_aki
Mean (SD) 44.3 (22.7) 45.8 (26.3) 48.6 (19.6) 46.0 (22.8)
Median [Min, Max] 37.0 [2.00, 106] 40.0 [6.00, 146] 45.0 [12.0, 96.0] 40.0 [2.00, 146]
Missing 4 (3.7%) 2 (3.2%) 1 (1.4%) 7 (2.9%)
albumin_aki
Mean (SD) 2.98 (0.695) 3.01 (0.707) 3.07 (0.667) 3.01 (0.688)
Median [Min, Max] 3.00 [1.20, 5.00] 2.90 [1.80, 4.50] 3.00 [1.70, 4.80] 2.95 [1.20, 5.00]
Missing 10 (9.2%) 7 (11.3%) 4 (5.6%) 21 (8.6%)
inr_aki
Mean (SD) 2.00 (0.644) 2.12 (0.823) 1.88 (0.635) 1.99 (0.688)
Median [Min, Max] 1.80 [1.10, 4.40] 1.90 [1.20, 5.10] 1.72 [1.00, 4.20] 1.80 [1.00, 5.10]
Missing 16 (14.7%) 15 (24.2%) 6 (8.3%) 37 (15.2%)
wbc_aki
Mean (SD) 11.9 (11.1) 10.3 (5.46) 9.78 (6.69) 10.9 (8.72)
Median [Min, Max] 9.49 [1.54, 100] 8.86 [1.00, 26.7] 7.40 [1.20, 34.0] 8.40 [1.00, 100]
Missing 9 (8.3%) 6 (9.7%) 2 (2.8%) 17 (7.0%)
plt_aki
Mean (SD) 131 (103) 119 (70.1) 114 (85.7) 123 (90.4)
Median [Min, Max] 96.0 [27.0, 533] 99.0 [23.0, 324] 89.0 [2.00, 456] 94.5 [2.00, 533]
Missing 6 (5.5%) 3 (4.8%) 2 (2.8%) 11 (4.5%)
ecg_qtc
Mean (SD) 455 (75.2) 464 (31.7) 443 (67.0) 453 (64.7)
Median [Min, Max] 460 [0.360, 670] 465 [352, 533] 451 [0.540, 534] 457 [0.360, 670]
Missing 17 (15.6%) 12 (19.4%) 11 (15.3%) 40 (16.5%)
days_to_echo
Mean (SD) 26.8 (49.8) 36.6 (73.0) 18.6 (55.1) 26.8 (58.1)
Median [Min, Max] 7.00 [0, 312] 7.00 [0, 370] 2.00 [0, 240] 5.00 [0, 370]
Missing 30 (27.5%) 17 (27.4%) 19 (26.4%) 66 (27.2%)
echo_ef
Mean (SD) 67.2 (6.18) 64.6 (6.36) 66.3 (5.62) 66.3 (6.12)
Median [Min, Max] 67.5 [55.0, 83.0] 65.0 [55.0, 80.0] 66.0 [51.0, 78.0] 66.0 [51.0, 83.0]
Missing 27 (24.8%) 17 (27.4%) 17 (23.6%) 61 (25.1%)
echo_lateral_e
Mean (SD) 12.1 (3.38) 10.9 (3.44) 10.4 (4.05) 11.2 (3.68)
Median [Min, Max] 11.0 [5.90, 18.4] 12.7 [4.30, 16.0] 11.0 [0.140, 16.0] 11.0 [0.140, 18.4]
Missing 76 (69.7%) 46 (74.2%) 44 (61.1%) 166 (68.3%)
echo_trpeak
Mean (SD) 143 (125) 178 (113) 150 (139) 152 (126)
Median [Min, Max] 170 [1.00, 305] 238 [1.60, 267] 215 [2.00, 343] 225 [1.00, 343]
Missing 82 (75.2%) 51 (82.3%) 54 (75.0%) 187 (77.0%)
echo_gls
Mean (SD) -2.72 (22.7) -5.35 (30.3) 1.40 (23.9) -1.63 (23.4)
Median [Min, Max] -18.2 [-26.7, 25.5] -19.5 [-22.5, 40.0] 1.09 [-23.6, 26.1] -18.4 [-26.7, 40.0]
Missing 95 (87.2%) 58 (93.5%) 62 (86.1%) 215 (88.5%)
echo_earatio
Mean (SD) 1.39 (1.23) 1.03 (0.297) 1.12 (0.399) 1.22 (0.874)
Median [Min, Max] 1.20 [0.400, 9.10] 0.965 [0.690, 2.07] 1.08 [0.510, 2.30] 1.05 [0.400, 9.10]
Missing 62 (56.9%) 40 (64.5%) 36 (50.0%) 138 (56.8%)
echo_rvsp
Mean (SD) 34.1 (11.3) 33.9 (14.3) 35.3 (13.4) 34.4 (12.7)
Median [Min, Max] 35.0 [2.00, 56.0] 32.0 [7.88, 62.0] 31.0 [17.7, 82.0] 33.0 [2.00, 82.0]
Missing 76 (69.7%) 37 (59.7%) 51 (70.8%) 164 (67.5%)
echo_pasp
Mean (SD) 35.4 (17.8) 25.4 (15.9) 36.3 (42.7) 33.3 (25.5)
Median [Min, Max] 31.0 [3.00, 76.0] 29.0 [3.00, 44.0] 24.3 [3.00, 117] 30.0 [3.00, 117]
Missing 98 (89.9%) 57 (91.9%) 66 (91.7%) 221 (90.9%)
echo_lavi
Mean (SD) 33.3 (13.3) 30.5 (10.0) 33.8 (11.8) 32.8 (12.1)
Median [Min, Max] 32.0 [6.32, 74.0] 29.3 [8.00, 56.6] 34.5 [11.8, 68.0] 32.0 [6.32, 74.0]
Missing 44 (40.4%) 30 (48.4%) 28 (38.9%) 102 (42.0%)
echo_tr
Mean (SD) 32.0 (88.5) 55.7 (118) 8.03 (15.8) 29.5 (81.0)
Median [Min, Max] 2.67 [2.26, 339] 3.00 [2.30, 267] 2.51 [1.92, 47.0] 2.64 [1.92, 339]
Missing 92 (84.4%) 57 (91.9%) 64 (88.9%) 213 (87.7%)
totalalbumin_before_terli
Mean (SD) 270 (191) 235 (190) 221 (165) 247 (184)
Median [Min, Max] 225 [12.5, 1230] 200 [12.5, 1010] 200 [0.838, 888] 200 [0.838, 1230]
Missing 7 (6.4%) 10 (16.1%) 8 (11.1%) 25 (10.3%)
albvolume_before_terli
Mean (SD) 1080 (748) 1040 (972) 1160 (1180) 1090 (941)
Median [Min, Max] 900 [50.0, 3900] 800 [100, 5650] 900 [12.5, 8300] 900 [12.5, 8300]
Missing 12 (11.0%) 11 (17.7%) 12 (16.7%) 35 (14.4%)
saline_vol_before_terli
Mean (SD) 1270 (1420) 1240 (1300) 966 (763) 1170 (1220)
Median [Min, Max] 940 [8.00, 5400] 829 [67.5, 5630] 1000 [26.0, 3000] 1000 [8.00, 5630]
Missing 67 (61.5%) 40 (64.5%) 45 (62.5%) 152 (62.6%)
lr_volume_before_terli
Mean (SD) 1870 (1410) 2320 (3450) 1350 (1070) 1860 (2150)
Median [Min, Max] 1470 [500, 7000] 1380 [400, 15300] 1000 [500, 4000] 1250 [400, 15300]
Missing 83 (76.1%) 44 (71.0%) 55 (76.4%) 182 (74.9%)
other_cryst_before_terli
Mean (SD) 2390 (2850) 298 (303) NA (NA) 1550 (2330)
Median [Min, Max] 1000 [500, 5680] 298 [83.0, 512] NA [NA, NA] 512 [83.0, 5680]
Missing 106 (97.2%) 60 (96.8%) 72 (100%) 238 (97.9%)
prbc_qaunt_before_terli
Mean (SD) 4.18 (6.53) 2.25 (1.52) 2.47 (1.86) 3.21 (4.68)
Median [Min, Max] 2.00 [1.00, 33.0] 2.00 [0, 5.00] 2.00 [1.00, 8.00] 2.00 [0, 33.0]
Missing 73 (67.0%) 42 (67.7%) 51 (70.8%) 166 (68.3%)
totalvolume_before_terli
Mean (SD) 13700 (36100) 7650 (11900) 6440 (7790) 10000 (25400)
Median [Min, Max] 5130 [0, 284000] 3840 [100, 63500] 4200 [0, 45900] 4650 [0, 284000]
Missing 15 (13.8%) 7 (11.3%) 12 (16.7%) 34 (14.0%)
total_uo_before_terli
Mean (SD) 7780 (18000) 4200 (7180) 4140 (5210) 5820 (13100)
Median [Min, Max] 2200 [0, 116000] 1680 [0, 41400] 2390 [0, 21600] 2100 [0, 116000]
Missing 16 (14.7%) 8 (12.9%) 16 (22.2%) 40 (16.5%)
days_first_mido_before_terli
Mean (SD) 4.15 (10.1) 2.29 (3.62) 20.8 (104) 8.88 (58.4)
Median [Min, Max] 1.00 [0, 84.0] 1.00 [0, 16.0] 1.00 [0, 727] 1.00 [0, 727]
Missing 31 (28.4%) 20 (32.3%) 18 (25.0%) 69 (28.4%)
days_total_mido_before_terli
Mean (SD) 8.90 (16.6) 6.71 (7.53) 7.43 (9.92) 7.92 (12.9)
Median [Min, Max] 6.00 [0, 143] 3.50 [0, 33.0] 4.00 [0, 64.0] 5.00 [0, 143]
Missing 31 (28.4%) 20 (32.3%) 19 (26.4%) 70 (28.8%)
mido_maxdose_before_terli
10 8 (7.3%) 3 (4.8%) 3 (4.2%) 14 (5.8%)
15 16 (14.7%) 3 (4.8%) 3 (4.2%) 22 (9.1%)
20 8 (7.3%) 4 (6.5%) 1 (1.4%) 13 (5.3%)
22.5 1 (0.9%) 0 (0%) 0 (0%) 1 (0.4%)
25 2 (1.8%) 0 (0%) 0 (0%) 2 (0.8%)
30 16 (14.7%) 13 (21.0%) 20 (27.8%) 49 (20.2%)
35 1 (0.9%) 0 (0%) 0 (0%) 1 (0.4%)
40 2 (1.8%) 1 (1.6%) 1 (1.4%) 4 (1.6%)
45 12 (11.0%) 10 (16.1%) 13 (18.1%) 35 (14.4%)
5 4 (3.7%) 1 (1.6%) 1 (1.4%) 6 (2.5%)
50 1 (0.9%) 0 (0%) 0 (0%) 1 (0.4%)
55 2 (1.8%) 1 (1.6%) 1 (1.4%) 4 (1.6%)
60 2 (1.8%) 3 (4.8%) 6 (8.3%) 11 (4.5%)
65 1 (0.9%) 0 (0%) 0 (0%) 1 (0.4%)
7.5 1 (0.9%) 0 (0%) 1 (1.4%) 2 (0.8%)
90 1 (0.9%) 0 (0%) 1 (1.4%) 2 (0.8%)
100 0 (0%) 1 (1.6%) 0 (0%) 1 (0.4%)
70 0 (0%) 1 (1.6%) 0 (0%) 1 (0.4%)
75 0 (0%) 1 (1.6%) 0 (0%) 1 (0.4%)
105 0 (0%) 0 (0%) 1 (1.4%) 1 (0.4%)
2.5 0 (0%) 0 (0%) 2 (2.8%) 2 (0.8%)
Missing 31 (28.4%) 20 (32.3%) 18 (25.0%) 69 (28.4%)
days_first_oct_before_terli
Mean (SD) 9.52 (49.4) 3.86 (6.66) 5.39 (11.0) 6.84 (34.0)
Median [Min, Max] 1.00 [0, 371] 1.00 [0, 30.0] 2.00 [0, 60.0] 1.00 [0, 371]
Missing 53 (48.6%) 27 (43.5%) 41 (56.9%) 121 (49.8%)
days_total_oct_before_terli
Mean (SD) 8.86 (19.4) 5.80 (7.53) 8.13 (11.3) 7.80 (14.8)
Median [Min, Max] 4.50 [0, 143] 3.00 [0, 32.0] 6.00 [0, 64.0] 4.00 [0, 143]
Missing 53 (48.6%) 27 (43.5%) 41 (56.9%) 121 (49.8%)
oct_maxdose_before_terli
Mean (SD) 416 (397) 449 (369) 379 (360) 416 (378)
Median [Min, Max] 300 [50.0, 1250] 300 [50.0, 1200] 300 [50.0, 1200] 300 [50.0, 1250]
Missing 53 (48.6%) 27 (43.5%) 41 (56.9%) 121 (49.8%)
days_first_ne_before_terli
Mean (SD) 2.89 (4.91) 1.00 (1.00) 2.09 (2.66) 2.35 (3.89)
Median [Min, Max] 0.500 [0, 18.0] 1.00 [0, 2.00] 1.00 [0, 7.00] 1.00 [0, 18.0]
Missing 91 (83.5%) 57 (91.9%) 61 (84.7%) 209 (86.0%)
days_total_ne_before_terli
Mean (SD) 9.39 (10.5) 7.40 (8.38) 6.64 (7.90) 8.21 (9.28)
Median [Min, Max] 4.50 [0, 34.0] 3.00 [1.00, 21.0] 4.00 [0, 26.0] 4.00 [0, 34.0]
Missing 91 (83.5%) 57 (91.9%) 61 (84.7%) 209 (86.0%)
days_to_gihep_consult
Mean (SD) 5.60 (37.5) 2.63 (5.66) 3.78 (12.4) 4.32 (26.3)
Median [Min, Max] 1.00 [0, 372] 1.00 [0, 37.0] 1.00 [0, 89.0] 1.00 [0, 372]
Missing 10 (9.2%) 8 (12.9%) 8 (11.1%) 26 (10.7%)
days_to_neph_consult
Mean (SD) 11.3 (52.0) 3.66 (5.26) 3.71 (5.32) 7.16 (35.5)
Median [Min, Max] 2.00 [0, 372] 2.00 [0, 30.0] 1.00 [0, 25.0] 2.00 [0, 372]
Missing 9 (8.3%) 6 (9.7%) 10 (13.9%) 25 (10.3%)
days_to_pall_consult
Mean (SD) 12.5 (15.0) 11.7 (14.5) 21.6 (39.8) 14.2 (22.1)
Median [Min, Max] 10.5 [0, 93.0] 6.50 [0, 55.0] 9.50 [0, 162] 9.00 [0, 162]
Missing 61 (56.0%) 46 (74.2%) 56 (77.8%) 163 (67.1%)
days_ua_hrs
Mean (SD) 4.43 (14.5) 3.45 (5.55) 3.54 (8.86) 3.92 (11.2)
Median [Min, Max] 1.00 [0, 140] 1.00 [0, 30.0] 1.00 [0, 58.0] 1.00 [0, 140]
Missing 6 (5.5%) 6 (9.7%) 7 (9.7%) 19 (7.8%)
days_ua_na_hrs
Mean (SD) 5.33 (15.2) 3.45 (5.69) 3.57 (8.62) 4.33 (11.5)
Median [Min, Max] 2.00 [0, 140] 1.00 [0, 30.0] 1.00 [0, 58.0] 1.00 [0, 140]
Missing 16 (14.7%) 7 (11.3%) 11 (15.3%) 34 (14.0%)
ua_na_value_hrs
Mean (SD) 18.4 (12.6) 23.5 (21.9) 18.4 (17.8) 19.7 (17.0)
Median [Min, Max] 19.0 [5.00, 81.0] 19.0 [9.00, 140] 19.0 [9.00, 110] 19.0 [5.00, 140]
Missing 16 (14.7%) 7 (11.3%) 11 (15.3%) 34 (14.0%)
days_ua_cr_hrs
Mean (SD) 6.48 (16.8) 4.68 (8.46) 5.30 (16.2) 5.68 (14.9)
Median [Min, Max] 2.00 [0, 143] 1.00 [0, 42.0] 1.00 [0, 108] 1.00 [0, 143]
Missing 30 (27.5%) 18 (29.0%) 22 (30.6%) 70 (28.8%)
ua_cr_value_hrs
Mean (SD) 141 (68.8) 132 (61.1) 145 (71.9) 140 (67.7)
Median [Min, Max] 132 [31.2, 418] 124 [27.4, 309] 134 [31.2, 378] 128 [27.4, 418]
Missing 30 (27.5%) 18 (29.0%) 22 (30.6%) 70 (28.8%)
days_ua_urea_hrs
Mean (SD) 6.69 (9.22) 3.72 (4.68) 2.67 (3.62) 4.52 (6.83)
Median [Min, Max] 2.00 [0, 35.0] 1.00 [0, 15.0] 1.00 [0, 13.0] 1.00 [0, 35.0]
Missing 74 (67.9%) 44 (71.0%) 39 (54.2%) 157 (64.6%)
ua_urea_value_hrs
Mean (SD) 533 (235) 487 (207) 537 (216) 525 (220)
Median [Min, Max] 532 [96.0, 1180] 485 [2.80, 891] 518 [82.0, 923] 513 [2.80, 1180]
Missing 74 (67.9%) 44 (71.0%) 39 (54.2%) 157 (64.6%)
feurea_hrs
Mean (SD) 30.5 (23.0) 18.9 (7.43) 20.5 (11.0) 24.2 (17.1)
Median [Min, Max] 29.0 [6.70, 124] 17.5 [1.93, 36.2] 19.2 [4.32, 52.6] 21.2 [1.93, 124]
Missing 78 (71.6%) 46 (74.2%) 42 (58.3%) 166 (68.3%)
ua_rbc_hrs
Mean (SD) 20.3 (38.6) 7.02 (16.1) 16.1 (30.4) 15.8 (32.4)
Median [Min, Max] 3.00 [0, 182] 2.00 [0, 101] 4.00 [0, 151] 2.00 [0, 182]
Missing 22 (20.2%) 17 (27.4%) 16 (22.2%) 55 (22.6%)
uaprotein_hrs
Mean (SD) 78.2 (135) 36.1 (63.7) 48.5 (149) 58.6 (126)
Median [Min, Max] 20.0 [0, 521] 0.550 [0, 250] 0.385 [0, 730] 2.00 [0, 730]
Missing 55 (50.5%) 31 (50.0%) 36 (50.0%) 122 (50.2%)
temp_terli_day0
Mean (SD) 36.5 (0.436) 37.6 (7.75) 36.6 (0.520) 36.8 (3.94)
Median [Min, Max] 36.6 [34.1, 37.4] 36.6 [34.3, 97.5] 36.6 [34.7, 38.2] 36.6 [34.1, 97.5]
hr_terli_day0
Mean (SD) 79.5 (16.9) 78.7 (14.6) 78.4 (17.3) 79.0 (16.4)
Median [Min, Max] 81.0 [39.0, 124] 79.0 [48.0, 117] 77.5 [45.0, 124] 80.0 [39.0, 124]
pao2_terli_day0
Mean (SD) 105 (63.0) 98.2 (26.7) 99.7 (27.4) 102 (46.9)
Median [Min, Max] 88.3 [49.0, 616] 90.5 [56.0, 150] 86.0 [60.0, 150] 88.0 [49.0, 616]
Missing 25 (22.9%) 14 (22.6%) 20 (27.8%) 59 (24.3%)
fio2_terli_day0
Mean (SD) 0.217 (0.0483) 0.228 (0.0768) 0.223 (0.0678) 0.222 (0.0623)
Median [Min, Max] 0.210 [0.0197, 0.600] 0.210 [0.210, 0.700] 0.210 [0.210, 0.730] 0.210 [0.0197, 0.730]
Missing 5 (4.6%) 4 (6.5%) 6 (8.3%) 15 (6.2%)
sbp_terli_day0_time0
Mean (SD) 108 (15.0) 109 (15.6) 109 (13.6) 108 (14.7)
Median [Min, Max] 106 [80.0, 157] 105 [85.0, 157] 108 [81.0, 138] 106 [80.0, 157]
Missing 13 (11.9%) 4 (6.5%) 9 (12.5%) 26 (10.7%)
map_terli_day0_time0
Mean (SD) 67.0 (26.9) 72.4 (19.6) 66.5 (26.8) 68.2 (25.3)
Median [Min, Max] 73.3 [0, 138] 73.3 [0, 115] 73.0 [0, 100] 73.2 [0, 138]
Missing 0 (0%) 1 (1.6%) 0 (0%) 1 (0.4%)
chloride_terli_day0
Mean (SD) 99.9 (7.30) 101 (6.27) 101 (7.04) 100 (6.97)
Median [Min, Max] 100 [80.0, 119] 102 [84.0, 118] 102 [80.0, 117] 101 [80.0, 119]
bicarb_terli_day0
Mean (SD) 18.5 (4.11) 18.3 (3.78) 19.7 (3.80) 18.8 (3.96)
Median [Min, Max] 19.0 [9.00, 29.0] 18.0 [7.00, 26.0] 19.5 [13.0, 32.0] 19.0 [7.00, 32.0]
Missing 2 (1.8%) 1 (1.6%) 2 (2.8%) 5 (2.1%)
scr_terli_day0
Mean (SD) 3.11 (1.02) 3.06 (0.943) 2.60 (0.828) 2.95 (0.968)
Median [Min, Max] 2.89 [1.23, 5.79] 2.90 [1.54, 5.18] 2.50 [1.28, 5.02] 2.79 [1.23, 5.79]
bun_terli_day0
Mean (SD) 57.0 (24.5) 56.4 (25.0) 56.2 (22.6) 56.6 (24.0)
Median [Min, Max] 54.0 [10.0, 132] 53.0 [5.00, 123] 54.0 [18.0, 145] 54.0 [5.00, 145]
Missing 1 (0.9%) 1 (1.6%) 0 (0%) 2 (0.8%)
ast_terli_day0
Mean (SD) 77.1 (62.6) 67.6 (65.3) 55.3 (43.0) 68.4 (58.9)
Median [Min, Max] 58.5 [1.22, 405] 44.0 [13.0, 402] 45.0 [15.0, 254] 51.5 [1.22, 405]
Missing 5 (4.6%) 3 (4.8%) 7 (9.7%) 15 (6.2%)
alt_terli_day0
Mean (SD) 34.4 (31.7) 31.1 (28.9) 24.6 (18.5) 30.7 (28.0)
Median [Min, Max] 24.0 [4.00, 209] 20.0 [5.00, 169] 21.0 [5.00, 112] 23.0 [4.00, 209]
Missing 5 (4.6%) 3 (4.8%) 7 (9.7%) 15 (6.2%)
bili_terli_day0
Mean (SD) 14.6 (14.7) 11.0 (11.8) 7.31 (8.39) 11.6 (12.7)
Median [Min, Max] 9.60 [0.300, 57.3] 6.10 [0.700, 41.2] 4.05 [1.00, 38.3] 5.60 [0.300, 57.3]
Missing 6 (5.5%) 3 (4.8%) 6 (8.3%) 15 (6.2%)
alb_terli_day0
Mean (SD) 3.48 (0.526) 3.50 (0.563) 3.59 (0.572) 3.52 (0.550)
Median [Min, Max] 3.50 [2.20, 4.80] 3.50 [2.10, 4.80] 3.60 [2.10, 5.00] 3.50 [2.10, 5.00]
Missing 7 (6.4%) 5 (8.1%) 3 (4.2%) 15 (6.2%)
inr_terli_day0
Mean (SD) 2.25 (0.886) 2.23 (0.645) 2.13 (0.705) 2.21 (0.777)
Median [Min, Max] 2.10 [1.00, 6.90] 2.20 [1.30, 3.54] 2.00 [1.20, 4.10] 2.10 [1.00, 6.90]
Missing 20 (18.3%) 9 (14.5%) 19 (26.4%) 48 (19.8%)
wbc_terli_day0
Mean (SD) 10.2 (7.21) 9.05 (5.13) 7.87 (4.89) 9.22 (6.14)
Median [Min, Max] 8.40 [1.50, 41.3] 8.06 [2.30, 26.4] 6.44 [2.80, 26.9] 7.30 [1.50, 41.3]
Missing 5 (4.6%) 1 (1.6%) 3 (4.2%) 9 (3.7%)
hgb_terli_day0
Mean (SD) 8.21 (1.25) 8.52 (1.53) 8.41 (1.32) 8.35 (1.35)
Median [Min, Max] 8.00 [6.00, 12.7] 8.20 [5.30, 12.9] 8.00 [6.30, 11.9] 8.00 [5.30, 12.9]
Missing 2 (1.8%) 0 (0%) 2 (2.8%) 4 (1.6%)
Discont_Day
Mean (SD) 3.04 (2.36) 4.74 (3.28) 4.90 (3.12) 4.02 (2.98)
Median [Min, Max] 2.00 [1.00, 13.0] 4.00 [1.00, 13.0] 4.00 [1.00, 13.0] 3.00 [1.00, 13.0]
na_terli_day0
Mean (SD) 132 (5.69) 133 (5.78) 133 (5.48) 132 (5.63)
Median [Min, Max] 133 [120, 144] 132 [120, 146] 133 [119, 147] 133 [119, 147]
days_to_terli_initiation_day0
Mean (SD) 8.50 (14.7) 7.08 (7.84) 7.08 (8.93) 7.72 (11.6)
Median [Min, Max] 5.00 [0, 143] 4.50 [1.00, 40.0] 4.00 [0, 64.0] 5.00 [0, 143]
clif_c_score
Mean (SD) 43.2 (9.00) 42.8 (7.83) 39.6 (7.15) 42.0 (8.32)
Median [Min, Max] 42.6 [19.6, 62.4] 41.8 [27.3, 58.9] 38.9 [24.6, 56.0] 41.4 [19.6, 62.4]
Missing 5 (4.6%) 1 (1.6%) 3 (4.2%) 9 (3.7%)
admit_meld
Mean (SD) 28.3 (8.62) 27.4 (7.15) 25.5 (6.62) 27.2 (7.75)
Median [Min, Max] 28.0 [8.00, 48.0] 28.0 [13.0, 39.0] 26.0 [11.0, 40.0] 27.0 [8.00, 48.0]
Missing 5 (4.6%) 2 (3.2%) 1 (1.4%) 8 (3.3%)
admit_meld_na
Mean (SD) 30.3 (7.35) 29.7 (6.20) 29.0 (5.19) 29.7 (6.47)
Median [Min, Max] 30.0 [12.0, 46.0] 30.0 [16.0, 39.0] 29.5 [17.0, 40.0] 30.0 [12.0, 46.0]
Missing 6 (5.5%) 3 (4.8%) 2 (2.8%) 11 (4.5%)
admit_meld_3
Mean (SD) 31.8 (8.48) 31.0 (6.94) 30.1 (6.01) 31.1 (7.44)
Median [Min, Max] 32.0 [5.00, 50.0] 31.0 [16.0, 42.0] 30.0 [14.0, 42.0] 31.0 [5.00, 50.0]
admit_meld_3_raw
Mean (SD) 31.9 (8.68) 30.9 (7.18) 30.1 (6.06) 31.1 (7.60)
Median [Min, Max] 32.0 [5.00, 50.0] 31.0 [16.0, 42.0] 30.0 [14.0, 42.0] 31.0 [5.00, 50.0]
Missing 5 (4.6%) 4 (6.5%) 1 (1.4%) 10 (4.1%)
day0_meld
Mean (SD) 32.6 (7.96) 31.7 (6.54) 29.1 (6.93) 31.5 (7.44)
Median [Min, Max] 33.0 [16.0, 51.0] 33.0 [17.0, 47.0] 29.0 [17.0, 44.0] 32.0 [16.0, 51.0]
Missing 21 (19.3%) 10 (16.1%) 22 (30.6%) 53 (21.8%)
day0_meld_na
Mean (SD) 33.7 (7.00) 32.8 (5.95) 31.0 (6.22) 32.7 (6.59)
Median [Min, Max] 34.0 [16.0, 50.0] 34.0 [19.0, 46.0] 31.0 [18.0, 44.0] 34.0 [16.0, 50.0]
Missing 21 (19.3%) 10 (16.1%) 22 (30.6%) 53 (21.8%)
day0_meld_3
Mean (SD) 35.6 (8.14) 34.4 (7.72) 32.4 (7.02) 34.4 (7.81)
Median [Min, Max] 37.0 [13.0, 53.0] 35.0 [10.0, 49.0] 32.0 [17.0, 45.0] 35.0 [10.0, 53.0]
Missing 23 (21.1%) 12 (19.4%) 22 (30.6%) 57 (23.5%)
time_to_transplant
Mean (SD) 37.3 (46.1) 38.4 (50.1) 48.7 (54.1) 41.0 (49.2)
Median [Min, Max] 19.0 [4.00, 199] 16.0 [3.00, 167] 26.0 [2.00, 186] 20.0 [2.00, 199]
Missing 78 (71.6%) 44 (71.0%) 51 (70.8%) 173 (71.2%)
time_to_death_status
0 55 (50.5%) 38 (61.3%) 47 (65.3%) 140 (57.6%)
1 54 (49.5%) 24 (38.7%) 25 (34.7%) 103 (42.4%)
cystatinc_admit
Mean (SD) 2.93 (0.929) 2.99 (0.570) 2.93 (0.701) 2.94 (0.777)
Median [Min, Max] 2.95 [1.16, 4.16] 2.83 [2.25, 3.90] 2.85 [1.80, 4.20] 2.89 [1.16, 4.20]
Missing 93 (85.3%) 55 (88.7%) 62 (86.1%) 210 (86.4%)
cystatinc_aki
Mean (SD) 2.74 (0.969) 2.53 (1.18) 3.02 (0.804) 2.79 (0.914)
Median [Min, Max] 2.62 [1.23, 4.16] 2.83 [1.23, 3.54] 2.87 [2.19, 4.10] 2.71 [1.23, 4.16]
Missing 99 (90.8%) 59 (95.2%) 66 (91.7%) 224 (92.2%)
cystatinc_terli_day0
Mean (SD) 3.85 (1.07) 2.49 (1.10) 2.63 (0.653) 2.95 (1.10)
Median [Min, Max] 3.71 [2.40, 6.10] 2.61 [0.239, 3.90] 2.87 [1.52, 3.57] 2.91 [0.239, 6.10]
Missing 101 (92.7%) 53 (85.5%) 63 (87.5%) 217 (89.3%)
urine_pc
Mean (SD) 0.686 (1.14) 0.299 (0.508) 0.457 (1.43) 0.517 (1.12)
Median [Min, Max] 0.163 [0, 5.95] 0.0143 [0, 2.18] 0.00479 [0, 7.07] 0.0736 [0, 7.07]
Missing 63 (57.8%) 35 (56.5%) 40 (55.6%) 138 (56.8%)
fena
Mean (SD) 0.393 (0.762) 0.808 (2.68) 0.389 (0.808) 0.501 (1.53)
Median [Min, Max] 0.213 [0.0228, 5.64] 0.215 [0.0517, 17.2] 0.160 [0.0498, 5.07] 0.211 [0.0228, 17.2]
Missing 39 (35.8%) 20 (32.3%) 24 (33.3%) 83 (34.2%)
fena_hrs
Mean (SD) 0.435 (0.743) 0.779 (2.18) 0.362 (0.702) 0.502 (1.28)
Median [Min, Max] 0.232 [0.0327, 5.60] 0.241 [0.0949, 14.0] 0.159 [0.0469, 4.48] 0.220 [0.0327, 14.0]
Missing 35 (32.1%) 19 (30.6%) 23 (31.9%) 77 (31.7%)
time_to_death_90days
Mean (SD) 51.0 (37.2) 64.2 (33.9) 70.0 (29.1) 60.0 (35.0)
Median [Min, Max] 35.0 [1.00, 90.0] 90.0 [3.00, 90.0] 90.0 [4.00, 90.0] 90.0 [1.00, 90.0]
total_albumin
Mean (SD) 94.2 (103) 75.2 (89.8) 94.7 (110) 89.5 (102)
Median [Min, Max] 75.0 [0, 500] 50.0 [0, 350] 68.8 [0, 700] 62.5 [0, 700]

num_hrs_clinical_course_variables hrs_responders

num_hrs_clinical_course_variables_formula <- as.formula(paste("~", paste(num_hrs_clinical_course_variables, collapse = "+"),"|hrs_responders"))
table1(num_hrs_clinical_course_variables_formula,data = final_master%>% drop_na(hrs_responders))
0
(N=109)
1
(N=62)
2
(N=72)
Overall
(N=243)
scr_day1_post_terli
Mean (SD) 3.43 (1.47) 2.07 (0.846) 1.50 (0.578) 2.53 (1.41)
Median [Min, Max] 3.12 [1.30, 8.84] 1.78 [1.01, 4.34] 1.35 [0.700, 4.14] 2.15 [0.700, 8.84]
Missing 14 (12.8%) 6 (9.7%) 13 (18.1%) 33 (13.6%)
scr_day2_post_terli
Mean (SD) 3.20 (1.44) 2.11 (0.860) 1.45 (0.450) 2.44 (1.33)
Median [Min, Max] 2.93 [1.25, 8.73] 1.85 [1.05, 4.06] 1.40 [0.640, 3.04] 2.07 [0.640, 8.73]
Missing 19 (17.4%) 12 (19.4%) 19 (26.4%) 50 (20.6%)
scr_day3_post_terli
Mean (SD) 2.93 (1.41) 2.15 (0.902) 1.50 (0.534) 2.33 (1.26)
Median [Min, Max] 2.57 [0.990, 7.56] 1.95 [0.890, 4.12] 1.42 [0.600, 3.44] 1.97 [0.600, 7.56]
Missing 22 (20.2%) 15 (24.2%) 21 (29.2%) 58 (23.9%)
scr_day4_post_terli
Mean (SD) 2.80 (1.38) 2.35 (0.955) 1.58 (0.573) 2.38 (1.22)
Median [Min, Max] 2.40 [0.980, 6.97] 2.10 [1.15, 4.47] 1.50 [0.630, 3.08] 2.01 [0.630, 6.97]
Missing 24 (22.0%) 19 (30.6%) 29 (40.3%) 72 (29.6%)
scr_day5_post_terli
Mean (SD) 2.80 (1.47) 2.26 (0.970) 1.72 (0.775) 2.38 (1.28)
Median [Min, Max] 2.41 [0.910, 7.07] 1.99 [1.20, 5.42] 1.53 [0.650, 4.28] 1.92 [0.650, 7.07]
Missing 29 (26.6%) 22 (35.5%) 28 (38.9%) 79 (32.5%)
scr_day6_post_terli
Mean (SD) 2.69 (1.25) 2.52 (1.28) 1.74 (0.814) 2.39 (1.22)
Median [Min, Max] 2.51 [0.770, 7.22] 2.16 [1.10, 6.47] 1.54 [0.630, 4.00] 2.13 [0.630, 7.22]
Missing 36 (33.0%) 28 (45.2%) 32 (44.4%) 96 (39.5%)
scr_day7_post_terli
Mean (SD) 2.78 (1.39) 2.47 (1.28) 1.94 (0.909) 2.51 (1.30)
Median [Min, Max] 2.44 [0.670, 7.25] 1.92 [0.960, 5.72] 1.88 [0.800, 4.32] 2.21 [0.670, 7.25]
Missing 35 (32.1%) 26 (41.9%) 38 (52.8%) 99 (40.7%)
scr_day8_post_terli
Mean (SD) 2.61 (1.44) 2.55 (1.24) 1.85 (0.825) 2.41 (1.30)
Median [Min, Max] 2.26 [0.620, 7.58] 2.19 [1.10, 5.69] 1.68 [0.700, 3.55] 2.07 [0.620, 7.58]
Missing 37 (33.9%) 28 (45.2%) 36 (50.0%) 101 (41.6%)
scr_day9_post_terli
Mean (SD) 2.66 (1.54) 2.41 (1.13) 1.79 (0.785) 2.38 (1.33)
Median [Min, Max] 2.34 [0.730, 7.60] 2.03 [0.980, 5.41] 1.59 [0.700, 3.62] 2.02 [0.700, 7.60]
Missing 44 (40.4%) 29 (46.8%) 40 (55.6%) 113 (46.5%)
scr_day10_post_terli
Mean (SD) 2.61 (1.80) 2.13 (1.09) 1.88 (0.808) 2.29 (1.45)
Median [Min, Max] 2.01 [0.840, 8.80] 1.89 [0.950, 5.06] 1.68 [0.700, 3.48] 1.92 [0.700, 8.80]
Missing 51 (46.8%) 31 (50.0%) 40 (55.6%) 122 (50.2%)
scr_day11_post_terli
Mean (SD) 2.55 (1.54) 1.94 (1.13) 1.86 (0.958) 2.22 (1.35)
Median [Min, Max] 2.05 [0.770, 8.50] 1.61 [0.640, 5.04] 1.66 [0.690, 4.01] 1.81 [0.640, 8.50]
Missing 50 (45.9%) 33 (53.2%) 42 (58.3%) 125 (51.4%)
scr_day12_post_terli
Mean (SD) 2.48 (1.48) 1.95 (1.08) 2.03 (1.23) 2.22 (1.33)
Median [Min, Max] 2.07 [0.570, 8.00] 1.62 [0.880, 5.21] 1.84 [0.600, 5.77] 1.80 [0.570, 8.00]
Missing 58 (53.2%) 34 (54.8%) 44 (61.1%) 136 (56.0%)
scr_day13_post_terli
Mean (SD) 2.45 (1.53) 2.04 (1.18) 2.15 (1.41) 2.26 (1.41)
Median [Min, Max] 2.16 [0.650, 9.60] 1.64 [0.950, 5.66] 1.92 [0.700, 5.76] 1.94 [0.650, 9.60]
Missing 60 (55.0%) 34 (54.8%) 45 (62.5%) 139 (57.2%)
scr_day14_post_terli
Mean (SD) 2.49 (1.43) 2.00 (1.05) 2.00 (1.32) 2.25 (1.33)
Median [Min, Max] 2.27 [0.530, 8.40] 1.54 [0.840, 4.77] 1.72 [0.520, 5.86] 1.87 [0.520, 8.40]
Missing 59 (54.1%) 39 (62.9%) 47 (65.3%) 145 (59.7%)
days_to_hrsreversal
Mean (SD) 27.8 (32.7) 13.9 (9.18) 13.9 (16.4) 16.8 (20.0)
Median [Min, Max] 20.5 [1.00, 154] 12.0 [3.00, 39.0] 11.0 [3.00, 113] 11.0 [1.00, 154]
Missing 89 (81.7%) 33 (53.2%) 25 (34.7%) 147 (60.5%)
days_to_hrsrecovery
Mean (SD) 28.4 (12.3) 16.4 (9.98) 14.2 (18.3) 16.5 (16.3)
Median [Min, Max] 27.0 [11.0, 49.0] 14.0 [3.00, 39.0] 10.0 [3.00, 114] 12.0 [3.00, 114]
Missing 102 (93.6%) 47 (75.8%) 37 (51.4%) 186 (76.5%)
recurrentaki_number
Mean (SD) 1.37 (0.684) 1.08 (0.277) 1.29 (0.464) 1.27 (0.522)
Median [Min, Max] 1.00 [1.00, 3.00] 1.00 [1.00, 2.00] 1.00 [1.00, 2.00] 1.00 [1.00, 3.00]
Missing 90 (82.6%) 49 (79.0%) 48 (66.7%) 187 (77.0%)
days_to_recurrentaki
Mean (SD) 27.6 (24.3) 25.2 (31.7) 21.8 (16.3) 24.6 (23.0)
Median [Min, Max] 16.0 [10.0, 107] 16.0 [11.0, 128] 19.0 [8.00, 89.0] 16.0 [8.00, 128]
Missing 90 (82.6%) 49 (79.0%) 48 (66.7%) 187 (77.0%)
nadirhospit_scr
Mean (SD) 1.50 (0.827) 1.40 (0.645) 1.27 (0.461) 1.40 (0.695)
Median [Min, Max] 1.29 [0.270, 3.93] 1.21 [0.470, 3.86] 1.25 [0.460, 2.99] 1.24 [0.270, 3.93]
Missing 0 (0%) 2 (3.2%) 0 (0%) 2 (0.8%)
peakhospit_scr
Mean (SD) 4.25 (1.59) 3.48 (1.21) 2.99 (1.07) 3.68 (1.46)
Median [Min, Max] 4.09 [1.58, 11.1] 3.19 [1.72, 6.69] 2.80 [1.40, 8.00] 3.39 [1.40, 11.1]
Missing 0 (0%) 2 (3.2%) 0 (0%) 2 (0.8%)
days_to_peakhospitscr
Mean (SD) 14.3 (16.6) 8.90 (10.3) 6.43 (7.80) 10.6 (13.4)
Median [Min, Max] 11.0 [0, 144] 4.50 [0, 51.0] 3.00 [0, 44.0] 7.00 [0, 144]
Missing 0 (0%) 2 (3.2%) 0 (0%) 2 (0.8%)
days_to_rrt
Mean (SD) 11.9 (6.74) 14.1 (9.38) 13.7 (9.55) 12.6 (7.71)
Median [Min, Max] 11.0 [1.00, 26.0] 11.0 [2.00, 33.0] 12.0 [0, 30.0] 11.0 [0, 33.0]
Missing 60 (55.0%) 47 (75.8%) 61 (84.7%) 168 (69.1%)

num_hospitalization_course_variables hrs_responders

num_hospitalization_course_variables_formula <- as.formula(paste("~", paste(num_hrs_clinical_course_variables, collapse = "+"),"|hrs_responders"))
table1(num_hospitalization_course_variables_formula,data = final_master%>% drop_na(hrs_responders))
0
(N=109)
1
(N=62)
2
(N=72)
Overall
(N=243)
scr_day1_post_terli
Mean (SD) 3.43 (1.47) 2.07 (0.846) 1.50 (0.578) 2.53 (1.41)
Median [Min, Max] 3.12 [1.30, 8.84] 1.78 [1.01, 4.34] 1.35 [0.700, 4.14] 2.15 [0.700, 8.84]
Missing 14 (12.8%) 6 (9.7%) 13 (18.1%) 33 (13.6%)
scr_day2_post_terli
Mean (SD) 3.20 (1.44) 2.11 (0.860) 1.45 (0.450) 2.44 (1.33)
Median [Min, Max] 2.93 [1.25, 8.73] 1.85 [1.05, 4.06] 1.40 [0.640, 3.04] 2.07 [0.640, 8.73]
Missing 19 (17.4%) 12 (19.4%) 19 (26.4%) 50 (20.6%)
scr_day3_post_terli
Mean (SD) 2.93 (1.41) 2.15 (0.902) 1.50 (0.534) 2.33 (1.26)
Median [Min, Max] 2.57 [0.990, 7.56] 1.95 [0.890, 4.12] 1.42 [0.600, 3.44] 1.97 [0.600, 7.56]
Missing 22 (20.2%) 15 (24.2%) 21 (29.2%) 58 (23.9%)
scr_day4_post_terli
Mean (SD) 2.80 (1.38) 2.35 (0.955) 1.58 (0.573) 2.38 (1.22)
Median [Min, Max] 2.40 [0.980, 6.97] 2.10 [1.15, 4.47] 1.50 [0.630, 3.08] 2.01 [0.630, 6.97]
Missing 24 (22.0%) 19 (30.6%) 29 (40.3%) 72 (29.6%)
scr_day5_post_terli
Mean (SD) 2.80 (1.47) 2.26 (0.970) 1.72 (0.775) 2.38 (1.28)
Median [Min, Max] 2.41 [0.910, 7.07] 1.99 [1.20, 5.42] 1.53 [0.650, 4.28] 1.92 [0.650, 7.07]
Missing 29 (26.6%) 22 (35.5%) 28 (38.9%) 79 (32.5%)
scr_day6_post_terli
Mean (SD) 2.69 (1.25) 2.52 (1.28) 1.74 (0.814) 2.39 (1.22)
Median [Min, Max] 2.51 [0.770, 7.22] 2.16 [1.10, 6.47] 1.54 [0.630, 4.00] 2.13 [0.630, 7.22]
Missing 36 (33.0%) 28 (45.2%) 32 (44.4%) 96 (39.5%)
scr_day7_post_terli
Mean (SD) 2.78 (1.39) 2.47 (1.28) 1.94 (0.909) 2.51 (1.30)
Median [Min, Max] 2.44 [0.670, 7.25] 1.92 [0.960, 5.72] 1.88 [0.800, 4.32] 2.21 [0.670, 7.25]
Missing 35 (32.1%) 26 (41.9%) 38 (52.8%) 99 (40.7%)
scr_day8_post_terli
Mean (SD) 2.61 (1.44) 2.55 (1.24) 1.85 (0.825) 2.41 (1.30)
Median [Min, Max] 2.26 [0.620, 7.58] 2.19 [1.10, 5.69] 1.68 [0.700, 3.55] 2.07 [0.620, 7.58]
Missing 37 (33.9%) 28 (45.2%) 36 (50.0%) 101 (41.6%)
scr_day9_post_terli
Mean (SD) 2.66 (1.54) 2.41 (1.13) 1.79 (0.785) 2.38 (1.33)
Median [Min, Max] 2.34 [0.730, 7.60] 2.03 [0.980, 5.41] 1.59 [0.700, 3.62] 2.02 [0.700, 7.60]
Missing 44 (40.4%) 29 (46.8%) 40 (55.6%) 113 (46.5%)
scr_day10_post_terli
Mean (SD) 2.61 (1.80) 2.13 (1.09) 1.88 (0.808) 2.29 (1.45)
Median [Min, Max] 2.01 [0.840, 8.80] 1.89 [0.950, 5.06] 1.68 [0.700, 3.48] 1.92 [0.700, 8.80]
Missing 51 (46.8%) 31 (50.0%) 40 (55.6%) 122 (50.2%)
scr_day11_post_terli
Mean (SD) 2.55 (1.54) 1.94 (1.13) 1.86 (0.958) 2.22 (1.35)
Median [Min, Max] 2.05 [0.770, 8.50] 1.61 [0.640, 5.04] 1.66 [0.690, 4.01] 1.81 [0.640, 8.50]
Missing 50 (45.9%) 33 (53.2%) 42 (58.3%) 125 (51.4%)
scr_day12_post_terli
Mean (SD) 2.48 (1.48) 1.95 (1.08) 2.03 (1.23) 2.22 (1.33)
Median [Min, Max] 2.07 [0.570, 8.00] 1.62 [0.880, 5.21] 1.84 [0.600, 5.77] 1.80 [0.570, 8.00]
Missing 58 (53.2%) 34 (54.8%) 44 (61.1%) 136 (56.0%)
scr_day13_post_terli
Mean (SD) 2.45 (1.53) 2.04 (1.18) 2.15 (1.41) 2.26 (1.41)
Median [Min, Max] 2.16 [0.650, 9.60] 1.64 [0.950, 5.66] 1.92 [0.700, 5.76] 1.94 [0.650, 9.60]
Missing 60 (55.0%) 34 (54.8%) 45 (62.5%) 139 (57.2%)
scr_day14_post_terli
Mean (SD) 2.49 (1.43) 2.00 (1.05) 2.00 (1.32) 2.25 (1.33)
Median [Min, Max] 2.27 [0.530, 8.40] 1.54 [0.840, 4.77] 1.72 [0.520, 5.86] 1.87 [0.520, 8.40]
Missing 59 (54.1%) 39 (62.9%) 47 (65.3%) 145 (59.7%)
days_to_hrsreversal
Mean (SD) 27.8 (32.7) 13.9 (9.18) 13.9 (16.4) 16.8 (20.0)
Median [Min, Max] 20.5 [1.00, 154] 12.0 [3.00, 39.0] 11.0 [3.00, 113] 11.0 [1.00, 154]
Missing 89 (81.7%) 33 (53.2%) 25 (34.7%) 147 (60.5%)
days_to_hrsrecovery
Mean (SD) 28.4 (12.3) 16.4 (9.98) 14.2 (18.3) 16.5 (16.3)
Median [Min, Max] 27.0 [11.0, 49.0] 14.0 [3.00, 39.0] 10.0 [3.00, 114] 12.0 [3.00, 114]
Missing 102 (93.6%) 47 (75.8%) 37 (51.4%) 186 (76.5%)
recurrentaki_number
Mean (SD) 1.37 (0.684) 1.08 (0.277) 1.29 (0.464) 1.27 (0.522)
Median [Min, Max] 1.00 [1.00, 3.00] 1.00 [1.00, 2.00] 1.00 [1.00, 2.00] 1.00 [1.00, 3.00]
Missing 90 (82.6%) 49 (79.0%) 48 (66.7%) 187 (77.0%)
days_to_recurrentaki
Mean (SD) 27.6 (24.3) 25.2 (31.7) 21.8 (16.3) 24.6 (23.0)
Median [Min, Max] 16.0 [10.0, 107] 16.0 [11.0, 128] 19.0 [8.00, 89.0] 16.0 [8.00, 128]
Missing 90 (82.6%) 49 (79.0%) 48 (66.7%) 187 (77.0%)
nadirhospit_scr
Mean (SD) 1.50 (0.827) 1.40 (0.645) 1.27 (0.461) 1.40 (0.695)
Median [Min, Max] 1.29 [0.270, 3.93] 1.21 [0.470, 3.86] 1.25 [0.460, 2.99] 1.24 [0.270, 3.93]
Missing 0 (0%) 2 (3.2%) 0 (0%) 2 (0.8%)
peakhospit_scr
Mean (SD) 4.25 (1.59) 3.48 (1.21) 2.99 (1.07) 3.68 (1.46)
Median [Min, Max] 4.09 [1.58, 11.1] 3.19 [1.72, 6.69] 2.80 [1.40, 8.00] 3.39 [1.40, 11.1]
Missing 0 (0%) 2 (3.2%) 0 (0%) 2 (0.8%)
days_to_peakhospitscr
Mean (SD) 14.3 (16.6) 8.90 (10.3) 6.43 (7.80) 10.6 (13.4)
Median [Min, Max] 11.0 [0, 144] 4.50 [0, 51.0] 3.00 [0, 44.0] 7.00 [0, 144]
Missing 0 (0%) 2 (3.2%) 0 (0%) 2 (0.8%)
days_to_rrt
Mean (SD) 11.9 (6.74) 14.1 (9.38) 13.7 (9.55) 12.6 (7.71)
Median [Min, Max] 11.0 [1.00, 26.0] 11.0 [2.00, 33.0] 12.0 [0, 30.0] 11.0 [0, 33.0]
Missing 60 (55.0%) 47 (75.8%) 61 (84.7%) 168 (69.1%)

num_followup_variables hrs_responders

num_followup_variables_formula <- as.formula(paste("~", paste(num_followup_variables, collapse = "+"),"|hrs_responders"))
table1(num_followup_variables_formula,data = final_master%>% drop_na(hrs_responders))
0
(N=109)
1
(N=62)
2
(N=72)
Overall
(N=243)
dc_aki_recurrence_number
Mean (SD) 1.00 (0) 1.42 (0.996) 1.57 (1.26) 1.38 (1.03)
Median [Min, Max] 1.00 [1.00, 1.00] 1.00 [0, 4.00] 1.00 [1.00, 7.00] 1.00 [0, 7.00]
Missing 94 (86.2%) 50 (80.6%) 44 (61.1%) 188 (77.4%)
days_to_aki_recurrence
Mean (SD) 52.3 (89.5) 42.4 (112) 18.5 (16.4) 33.1 (70.1)
Median [Min, Max] 23.5 [2.00, 369] 8.00 [3.00, 379] 13.5 [1.00, 58.0] 13.0 [1.00, 379]
Missing 93 (85.3%) 51 (82.3%) 44 (61.1%) 188 (77.4%)
dc_days_lastencounter
Mean (SD) 165 (111) 134 (93.2) 158 (126) 154 (112)
Median [Min, Max] 124 [0, 472] 106 [0, 450] 105 [27.0, 561] 111 [0, 561]
Missing 59 (54.1%) 27 (43.5%) 27 (37.5%) 113 (46.5%)
dc_days_to_death
Mean (SD) 49.8 (43.1) 63.6 (38.0) 67.3 (35.3) 58.5 (40.3)
Median [Min, Max] 90.0 [0, 90.0] 90.0 [0, 90.0] 90.0 [0, 95.0] 90.0 [0, 95.0]
Missing 0 (0%) 1 (1.6%) 0 (0%) 1 (0.4%)
days_to_lost_to_followup
Mean (SD) 1.70 (10.2) 1.15 (9.02) 0.847 (7.19) 1.30 (9.09)
Median [Min, Max] 0 [0, 85.0] 0 [0, 71.0] 0 [0, 61.0] 0 [0, 85.0]
dc_days_lt
Mean (SD) 198 (215) 194 (264) 143 (191) 176 (217)
Median [Min, Max] 85.0 [13.0, 692] 99.0 [5.00, 855] 51.0 [2.00, 547] 78.5 [2.00, 855]
Missing 92 (84.4%) 50 (80.6%) 55 (76.4%) 197 (81.1%)
dc_scr_90day_postlt_value
Mean (SD) 1.61 (0.709) 1.62 (0.736) 1.51 (0.760) 1.58 (0.726)
Median [Min, Max] 1.44 [0.420, 3.60] 1.49 [0.800, 2.96] 1.27 [0.690, 3.92] 1.32 [0.420, 3.92]
Missing 81 (74.3%) 43 (69.4%) 46 (63.9%) 170 (70.0%)
dc_days_to_90dayscr_lt
Mean (SD) 217 (179) 159 (176) 188 (162) 191 (169)
Median [Min, Max] 146 [0, 613] 118 [27.0, 662] 109 [22.0, 642] 118 [0, 662]
Missing 94 (86.2%) 51 (82.3%) 55 (76.4%) 200 (82.3%)
dc_days_to_neph_followup
Mean (SD) 59.2 (50.4) 33.4 (18.9) 36.4 (26.5) 44.3 (37.3)
Median [Min, Max] 45.5 [3.00, 168] 33.0 [4.00, 68.0] 25.0 [15.0, 103] 33.0 [3.00, 168]
Missing 95 (87.2%) 51 (82.3%) 61 (84.7%) 207 (85.2%)
dc_days_to_gihep_followup
Mean (SD) 47.3 (54.8) 47.6 (91.1) 32.7 (27.9) 42.1 (61.9)
Median [Min, Max] 31.0 [2.00, 230] 17.0 [1.00, 368] 25.0 [2.00, 103] 22.0 [1.00, 368]
Missing 79 (72.5%) 33 (53.2%) 39 (54.2%) 151 (62.1%)
dc_scr30_value
Mean (SD) 2.02 (1.04) 1.99 (1.36) 1.81 (1.18) 1.94 (1.18)
Median [Min, Max] 1.80 [0.440, 4.70] 1.64 [0.590, 6.15] 1.55 [0.620, 6.10] 1.69 [0.440, 6.15]
Missing 65 (59.6%) 26 (41.9%) 31 (43.1%) 122 (50.2%)
dc_days_scr30
Mean (SD) 38.0 (16.0) 35.6 (12.2) 37.4 (14.3) 37.1 (14.3)
Median [Min, Max] 32.0 [15.0, 111] 32.0 [17.0, 84.0] 32.0 [1.00, 93.0] 32.0 [1.00, 111]
Missing 65 (59.6%) 26 (41.9%) 31 (43.1%) 122 (50.2%)
dc_scr60_value
Mean (SD) 1.71 (0.826) 1.78 (0.959) 1.74 (0.838) 1.74 (0.865)
Median [Min, Max] 1.40 [0.480, 4.37] 1.45 [0.590, 4.71] 1.45 [0.700, 3.93] 1.45 [0.480, 4.71]
Missing 72 (66.1%) 29 (46.8%) 35 (48.6%) 136 (56.0%)
dc_days_scr60
Mean (SD) 67.2 (18.1) 68.1 (21.5) 64.1 (15.9) 66.4 (18.4)
Median [Min, Max] 63.0 [15.0, 143] 63.0 [17.0, 143] 62.0 [1.00, 114] 63.0 [1.00, 143]
Missing 72 (66.1%) 29 (46.8%) 35 (48.6%) 136 (56.0%)
dc_scr90_value
Mean (SD) 1.66 (0.986) 1.74 (0.902) 1.62 (0.720) 1.67 (0.874)
Median [Min, Max] 1.43 [0.460, 6.18] 1.49 [0.530, 4.10] 1.50 [0.600, 3.59] 1.49 [0.460, 6.18]
Missing 67 (61.5%) 32 (51.6%) 35 (48.6%) 134 (55.1%)
dc_days_scr91
Mean (SD) 105 (32.7) 107 (39.5) 114 (48.8) 109 (40.4)
Median [Min, Max] 95.0 [15.0, 255] 96.5 [17.0, 265] 97.0 [1.00, 279] 97.0 [1.00, 279]
Missing 67 (61.5%) 32 (51.6%) 35 (48.6%) 134 (55.1%)
days_to_last_encounter_1yr
Mean (SD) 234 (167) 268 (193) 230 (176) 242 (175)
Median [Min, Max] 257 [10.0, 472] 340 [0, 516] 259 [4.00, 562] 278 [0, 562]
Missing 94 (86.2%) 49 (79.0%) 52 (72.2%) 195 (80.2%)
days_to_death_1yr
Mean (SD) 23.0 (73.8) 65.1 (110) 52.3 (72.8) 41.4 (85.5)
Median [Min, Max] 0 [0, 374] 19.0 [0, 382] 28.0 [0, 279] 3.00 [0, 382]
Missing 58 (53.2%) 35 (56.5%) 45 (62.5%) 138 (56.8%)
days_lastencounter_1yr
Mean (SD) 110 (166) 71.0 (NA) 76.4 (68.7) 91.0 (115)
Median [Min, Max] 10.0 [0, 387] 71.0 [71.0, 71.0] 61.0 [0, 171] 61.0 [0, 387]
Missing 104 (95.4%) 61 (98.4%) 67 (93.1%) 232 (95.5%)
scr_value_1yr
Mean (SD) 1.40 (0.537) 1.67 (0.535) 1.75 (1.40) 1.60 (0.980)
Median [Min, Max] 1.24 [0.570, 2.67] 1.55 [1.00, 2.87] 1.33 [0.400, 6.67] 1.40 [0.400, 6.67]
Missing 85 (78.0%) 46 (74.2%) 45 (62.5%) 176 (72.4%)
days_to_scr_1yr
Mean (SD) 302 (120) 304 (121) 271 (126) 290 (122)
Median [Min, Max] 344 [3.00, 484] 351 [17.0, 424] 337 [0, 402] 339 [0, 484]
Missing 85 (78.0%) 46 (74.2%) 45 (62.5%) 176 (72.4%)
days_to_lt_1yr
Mean (SD) 58.5 (79.8) 38.4 (47.2) 48.4 (51.6) 49.7 (62.9)
Median [Min, Max] 27.0 [0, 360] 22.0 [5.00, 156] 31.0 [4.00, 175] 25.5 [0, 360]
Missing 86 (78.9%) 46 (74.2%) 53 (73.6%) 185 (76.1%)

HRS_reversal_new KM

hrs_responders KM

# hrs_responders_cat_2 KM

ae by HRS_Criteria

ae by HRS_Criteria

ae by terli_route_day0 missing terli_route_day0

ae by meld_35

ae by criteria_2

## # A tibble: 243 × 1,697
##    subjectid ace_arb_preadmission admit_admitroute admit_admitservice
##    <chr>     <fct>                <fct>            <fct>             
##  1 BID-001   0                    1                3                 
##  2 BID-002   0                    1                2                 
##  3 BID-003   1                    2                3                 
##  4 BID-004   0                    3                4                 
##  5 BID-005   1                    2                2                 
##  6 BID-006   0                    2                2                 
##  7 BID-007   0                    2                1                 
##  8 BID-008   0                    1                3                 
##  9 BID-009   0                    1                3                 
## 10 BID-010   0                    2                2                 
## # ℹ 233 more rows
## # ℹ 1,693 more variables: admit_ascites <fct>, admit_reason___1 <dbl>,
## #   admit_reason___2 <dbl>, admit_reason___3 <dbl>, admit_reason___4 <dbl>,
## #   admit_reason___5 <dbl>, admit_reason___6 <dbl>, admit_reason___7 <dbl>,
## #   admit_reason_other <chr>, age <dbl>, aki_dbp <dbl>,
## #   aki_details_complete <dbl>, aki_events_previous90days <fct>,
## #   aki_height <dbl>, aki_hr <dbl>, aki_map <dbl>, aki_pao2 <dbl>, …

scr_category by HRS_reversal_new

## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## | Chi-square contribution |
## |           N / Row Total |
## |           N / Col Total |
## |         N / Table Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  243 
## 
##  
##                | a$HRS_reversal_new 
## a$scr_category |         0 |         1 | Row Total | 
## ---------------|-----------|-----------|-----------|
##           <1.5 |         3 |         3 |         6 | 
##                |     0.318 |     0.712 |           | 
##                |     0.500 |     0.500 |     0.025 | 
##                |     0.018 |     0.040 |           | 
##                |     0.012 |     0.012 |           | 
## ---------------|-----------|-----------|-----------|
##          1.5-2 |        15 |        22 |        37 | 
##                |     4.376 |     9.802 |           | 
##                |     0.405 |     0.595 |     0.152 | 
##                |     0.089 |     0.293 |           | 
##                |     0.062 |     0.091 |           | 
## ---------------|-----------|-----------|-----------|
##          2-2.5 |        25 |        20 |        45 | 
##                |     1.200 |     2.689 |           | 
##                |     0.556 |     0.444 |     0.185 | 
##                |     0.149 |     0.267 |           | 
##                |     0.103 |     0.082 |           | 
## ---------------|-----------|-----------|-----------|
##          2.5-3 |        41 |        17 |        58 | 
##                |     0.020 |     0.045 |           | 
##                |     0.707 |     0.293 |     0.239 | 
##                |     0.244 |     0.227 |           | 
##                |     0.169 |     0.070 |           | 
## ---------------|-----------|-----------|-----------|
##          3-3.5 |        24 |         6 |        30 | 
##                |     0.512 |     1.147 |           | 
##                |     0.800 |     0.200 |     0.123 | 
##                |     0.143 |     0.080 |           | 
##                |     0.099 |     0.025 |           | 
## ---------------|-----------|-----------|-----------|
##          3.5-4 |        21 |         4 |        25 | 
##                |     0.799 |     1.790 |           | 
##                |     0.840 |     0.160 |     0.103 | 
##                |     0.125 |     0.053 |           | 
##                |     0.086 |     0.016 |           | 
## ---------------|-----------|-----------|-----------|
##          4-4.5 |        21 |         2 |        23 | 
##                |     1.635 |     3.662 |           | 
##                |     0.913 |     0.087 |     0.095 | 
##                |     0.125 |     0.027 |           | 
##                |     0.086 |     0.008 |           | 
## ---------------|-----------|-----------|-----------|
##          4.5-5 |         9 |         0 |         9 | 
##                |     1.240 |     2.778 |           | 
##                |     1.000 |     0.000 |     0.037 | 
##                |     0.054 |     0.000 |           | 
##                |     0.037 |     0.000 |           | 
## ---------------|-----------|-----------|-----------|
##             >5 |         9 |         1 |        10 | 
##                |     0.630 |     1.410 |           | 
##                |     0.900 |     0.100 |     0.041 | 
##                |     0.054 |     0.013 |           | 
##                |     0.037 |     0.004 |           | 
## ---------------|-----------|-----------|-----------|
##   Column Total |       168 |        75 |       243 | 
##                |     0.691 |     0.309 |           | 
## ---------------|-----------|-----------|-----------|
## 
## 

scr_category by hrs_responders_cat_2

## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## | Chi-square contribution |
## |           N / Row Total |
## |           N / Col Total |
## |         N / Table Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  243 
## 
##  
##                | a$hrs_responders_cat_2 
## a$scr_category |         0 |         1 | Row Total | 
## ---------------|-----------|-----------|-----------|
##           <1.5 |         2 |         4 |         6 | 
##                |     0.178 |     0.144 |           | 
##                |     0.333 |     0.667 |     0.025 | 
##                |     0.018 |     0.030 |           | 
##                |     0.008 |     0.016 |           | 
## ---------------|-----------|-----------|-----------|
##          1.5-2 |        12 |        25 |        37 | 
##                |     1.273 |     1.036 |           | 
##                |     0.324 |     0.676 |     0.152 | 
##                |     0.110 |     0.187 |           | 
##                |     0.049 |     0.103 |           | 
## ---------------|-----------|-----------|-----------|
##          2-2.5 |        17 |        28 |        45 | 
##                |     0.503 |     0.409 |           | 
##                |     0.378 |     0.622 |     0.185 | 
##                |     0.156 |     0.209 |           | 
##                |     0.070 |     0.115 |           | 
## ---------------|-----------|-----------|-----------|
##          2.5-3 |        28 |        30 |        58 | 
##                |     0.151 |     0.123 |           | 
##                |     0.483 |     0.517 |     0.239 | 
##                |     0.257 |     0.224 |           | 
##                |     0.115 |     0.123 |           | 
## ---------------|-----------|-----------|-----------|
##          3-3.5 |        13 |        17 |        30 | 
##                |     0.016 |     0.013 |           | 
##                |     0.433 |     0.567 |     0.123 | 
##                |     0.119 |     0.127 |           | 
##                |     0.053 |     0.070 |           | 
## ---------------|-----------|-----------|-----------|
##          3.5-4 |        14 |        11 |        25 | 
##                |     0.692 |     0.563 |           | 
##                |     0.560 |     0.440 |     0.103 | 
##                |     0.128 |     0.082 |           | 
##                |     0.058 |     0.045 |           | 
## ---------------|-----------|-----------|-----------|
##          4-4.5 |        12 |        11 |        23 | 
##                |     0.275 |     0.223 |           | 
##                |     0.522 |     0.478 |     0.095 | 
##                |     0.110 |     0.082 |           | 
##                |     0.049 |     0.045 |           | 
## ---------------|-----------|-----------|-----------|
##          4.5-5 |         3 |         6 |         9 | 
##                |     0.266 |     0.217 |           | 
##                |     0.333 |     0.667 |     0.037 | 
##                |     0.028 |     0.045 |           | 
##                |     0.012 |     0.025 |           | 
## ---------------|-----------|-----------|-----------|
##             >5 |         8 |         2 |        10 | 
##                |     2.753 |     2.240 |           | 
##                |     0.800 |     0.200 |     0.041 | 
##                |     0.073 |     0.015 |           | 
##                |     0.033 |     0.008 |           | 
## ---------------|-----------|-----------|-----------|
##   Column Total |       109 |       134 |       243 | 
##                |     0.449 |     0.551 |           | 
## ---------------|-----------|-----------|-----------|
## 
## 

quintiles of admit_meld_3_raw by HRS_reversal_new

## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## | Chi-square contribution |
## |           N / Row Total |
## |           N / Col Total |
## |         N / Table Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  233 
## 
##  
##                             | a$HRS_reversal_new 
## a$admit_meld_3_raw_quintile |         0 |         1 | Row Total | 
## ----------------------------|-----------|-----------|-----------|
##                           1 |        31 |        18 |        49 | 
##                             |     0.208 |     0.457 |           | 
##                             |     0.633 |     0.367 |     0.210 | 
##                             |     0.194 |     0.247 |           | 
##                             |     0.133 |     0.077 |           | 
## ----------------------------|-----------|-----------|-----------|
##                           2 |        38 |        23 |        61 | 
##                             |     0.361 |     0.791 |           | 
##                             |     0.623 |     0.377 |     0.262 | 
##                             |     0.237 |     0.315 |           | 
##                             |     0.163 |     0.099 |           | 
## ----------------------------|-----------|-----------|-----------|
##                           3 |        24 |        15 |        39 | 
##                             |     0.289 |     0.633 |           | 
##                             |     0.615 |     0.385 |     0.167 | 
##                             |     0.150 |     0.205 |           | 
##                             |     0.103 |     0.064 |           | 
## ----------------------------|-----------|-----------|-----------|
##                           4 |        30 |         8 |        38 | 
##                             |     0.585 |     1.281 |           | 
##                             |     0.789 |     0.211 |     0.163 | 
##                             |     0.188 |     0.110 |           | 
##                             |     0.129 |     0.034 |           | 
## ----------------------------|-----------|-----------|-----------|
##                           5 |        37 |         9 |        46 | 
##                             |     0.927 |     2.032 |           | 
##                             |     0.804 |     0.196 |     0.197 | 
##                             |     0.231 |     0.123 |           | 
##                             |     0.159 |     0.039 |           | 
## ----------------------------|-----------|-----------|-----------|
##                Column Total |       160 |        73 |       233 | 
##                             |     0.687 |     0.313 |           | 
## ----------------------------|-----------|-----------|-----------|
## 
## 

quintiles of tbili_admit by HRS_reversal_new

## 
##  
##    Cell Contents
## |-------------------------|
## |                       N |
## | Chi-square contribution |
## |           N / Row Total |
## |           N / Col Total |
## |         N / Table Total |
## |-------------------------|
## 
##  
## Total Observations in Table:  233 
## 
##  
##                        | a$HRS_reversal_new 
## a$tbili_admit_quintile |         0 |         1 | Row Total | 
## -----------------------|-----------|-----------|-----------|
##                      1 |        30 |        18 |        48 | 
##                        |     0.266 |     0.583 |           | 
##                        |     0.625 |     0.375 |     0.206 | 
##                        |     0.188 |     0.247 |           | 
##                        |     0.129 |     0.077 |           | 
## -----------------------|-----------|-----------|-----------|
##                      2 |        31 |        15 |        46 | 
##                        |     0.011 |     0.024 |           | 
##                        |     0.674 |     0.326 |     0.197 | 
##                        |     0.194 |     0.205 |           | 
##                        |     0.133 |     0.064 |           | 
## -----------------------|-----------|-----------|-----------|
##                      3 |        31 |        15 |        46 | 
##                        |     0.011 |     0.024 |           | 
##                        |     0.674 |     0.326 |     0.197 | 
##                        |     0.194 |     0.205 |           | 
##                        |     0.133 |     0.064 |           | 
## -----------------------|-----------|-----------|-----------|
##                      4 |        33 |        13 |        46 | 
##                        |     0.063 |     0.138 |           | 
##                        |     0.717 |     0.283 |     0.197 | 
##                        |     0.206 |     0.178 |           | 
##                        |     0.142 |     0.056 |           | 
## -----------------------|-----------|-----------|-----------|
##                      5 |        35 |        12 |        47 | 
##                        |     0.230 |     0.504 |           | 
##                        |     0.745 |     0.255 |     0.202 | 
##                        |     0.219 |     0.164 |           | 
##                        |     0.150 |     0.052 |           | 
## -----------------------|-----------|-----------|-----------|
##           Column Total |       160 |        73 |       233 | 
##                        |     0.687 |     0.313 |           | 
## -----------------------|-----------|-----------|-----------|
## 
## 

1 Unviariate Logistic regression: time_to_death_status_90days

2 Multivariate Logistic regression:time_to_death_status_90days

3 Unviariate Logistic regression: time_to_death_status_90days

4 Multivariate Logistic regression:time_to_death_status_90days

5 Unviariate Logistic regression: transplant_outcome

6 Multivariate Logistic regression:transplant_outcome

7 Unviariate Logistic regression: transplant_outcome

8 Multivariate Logistic regression:transplant_outcome

9.1 Unviariate cmp: time_to_death_status_90days_cmp failcode=1

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 243


    0

    1
0.56 0.38, 0.83 0.004
age 243 1.01 0.99, 1.03 0.410
race_2 243


    0

    1
1.06 0.62, 1.80 0.830
hispanic 243


    0

    1
0.76 0.43, 1.36 0.360
admit_meld_3 243 1.02 1.00, 1.05 0.070
1 HR = Hazard Ratio, CI = Confidence Interval

9.2 Unviariate cmp: time_to_death_status_90days_cmp failcode=2

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 243


    0

    1
1.01 0.60, 1.69 0.980
age 243 1.00 0.98, 1.02 0.970
race_2 243


    0

    1
0.83 0.40, 1.71 0.610
hispanic 243


    0

    1
1.55 0.82, 2.94 0.180
admit_meld_3 243 1.02 0.99, 1.06 0.170
1 HR = Hazard Ratio, CI = Confidence Interval

10.1 Multiviariate cmp: time_to_death_status_90days_cmp failcode=1

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 243


    0

    1
0.57 0.38, 0.85 0.006
age 243 1.02 1.00, 1.04 0.10
race_2 243


    0

    1
1.11 0.63, 1.93 0.7
hispanic 243


    0

    1
0.86 0.49, 1.50 0.6
admit_meld_3 243 1.03 1.00, 1.06 0.041
1 HR = Hazard Ratio, CI = Confidence Interval

10.2 Multiviariate cmp: time_to_death_status_90days_cmp failcode=2

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 243


    0

    1
1.03 0.61, 1.75 0.9
age 243 1.01 0.99, 1.04 0.4
race_2 243


    0

    1
0.90 0.43, 1.87 0.8
hispanic 243


    0

    1
1.63 0.83, 3.21 0.2
admit_meld_3 243 1.03 0.99, 1.07 0.13
1 HR = Hazard Ratio, CI = Confidence Interval

11.1 Unviariate cmp: time_to_death_status_90days_cmp failcode=1

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 243


    0

    1
0.66 0.42, 1.02 0.059
age 243 1.01 0.99, 1.03 0.410
race_2 243


    0

    1
1.06 0.62, 1.80 0.830
hispanic 243


    0

    1
0.76 0.43, 1.36 0.360
admit_meld_3 243 1.02 1.00, 1.05 0.070
1 HR = Hazard Ratio, CI = Confidence Interval

11.2 Unviariate cmp: time_to_death_status_90days_cmp failcode=2

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 243


    0

    1
0.70 0.38, 1.28 0.250
age 243 1.00 0.98, 1.02 0.970
race_2 243


    0

    1
0.83 0.40, 1.71 0.610
hispanic 243


    0

    1
1.55 0.82, 2.94 0.180
admit_meld_3 243 1.02 0.99, 1.06 0.170
1 HR = Hazard Ratio, CI = Confidence Interval

12.1 Multiviariate cmp: time_to_death_status_90days_cmp failcode=1

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 243


    0

    1
0.71 0.45, 1.12 0.14
age 243 1.01 0.99, 1.04 0.2
race_2 243


    0

    1
1.13 0.65, 1.97 0.7
hispanic 243


    0

    1
0.79 0.45, 1.40 0.4
admit_meld_3 243 1.03 1.00, 1.06 0.059
1 HR = Hazard Ratio, CI = Confidence Interval

12.2 Multiviariate cmp: time_to_death_status_90days_cmp failcode=2

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 243


    0

    1
0.78 0.42, 1.45 0.4
age 243 1.01 0.98, 1.03 0.5
race_2 243


    0

    1
0.91 0.44, 1.88 0.8
hispanic 243


    0

    1
1.57 0.78, 3.16 0.2
admit_meld_3 243 1.03 0.99, 1.06 0.2
1 HR = Hazard Ratio, CI = Confidence Interval

13 Unviariate Logistic regression: transplant_outcome

Characteristic N OR1 95% CI1 p-value
HRS_reversal_new 141


    0

    1
0.71 0.32, 1.53 0.394
age 141 1.01 0.97, 1.04 0.735
race_2 141


    0

    1
1.05 0.41, 2.82 0.926
hispanic 141


    0

    1
1.74 0.73, 4.13 0.206
admit_meld_3 141 1.01 0.96, 1.06 0.729
1 OR = Odds Ratio, CI = Confidence Interval

14 Multivariate Logistic regression:transplant_outcome

Characteristic N OR1 95% CI1 p-value
HRS_reversal_new 141


    0

    1
0.72 0.32, 1.57 0.4
age 141 1.01 0.98, 1.05 0.5
race_2 141


    0

    1
1.23 0.47, 3.44 0.7
hispanic 141


    0

    1
1.95 0.79, 4.88 0.15
admit_meld_3 141 1.01 0.96, 1.06 0.7
1 OR = Odds Ratio, CI = Confidence Interval

15 Unviariate Logistic regression: transplant_outcome

Characteristic N OR1 95% CI1 p-value
hrs_responders_cat_2 141


    0

    1
1.00 0.50, 1.97 0.990
age 141 1.01 0.97, 1.04 0.735
race_2 141


    0

    1
1.05 0.41, 2.82 0.926
hispanic 141


    0

    1
1.74 0.73, 4.13 0.206
admit_meld_3 141 1.01 0.96, 1.06 0.729
1 OR = Odds Ratio, CI = Confidence Interval

16 Multivariate Logistic regression:transplant_outcome

Characteristic N OR1 95% CI1 p-value
hrs_responders_cat_2 141


    0

    1
0.93 0.46, 1.86 0.8
age 141 1.01 0.98, 1.05 0.5
race_2 141


    0

    1
1.21 0.46, 3.37 0.7
hispanic 141


    0

    1
1.95 0.79, 4.91 0.15
admit_meld_3 141 1.01 0.96, 1.07 0.6
1 OR = Odds Ratio, CI = Confidence Interval

5 Unviariate Logistic regression: transplant_outcome listed_transplant

Characteristic N OR1 95% CI1 p-value
HRS_reversal_new 141


    0

    1
0.71 0.32, 1.53 0.394
age 141 1.01 0.97, 1.04 0.735
race_2 141


    0

    1
1.05 0.41, 2.82 0.926
hispanic 141


    0

    1
1.74 0.73, 4.13 0.206
admit_meld_3 141 1.01 0.96, 1.06 0.729
1 OR = Odds Ratio, CI = Confidence Interval

6 Multivariate Logistic regression:transplant_outcome listed_transplant

Characteristic N OR1 95% CI1 p-value
HRS_reversal_new 141


    0

    1
0.72 0.32, 1.57 0.4
age 141 1.01 0.98, 1.05 0.5
race_2 141


    0

    1
1.23 0.47, 3.44 0.7
hispanic 141


    0

    1
1.95 0.79, 4.88 0.15
admit_meld_3 141 1.01 0.96, 1.06 0.7
1 OR = Odds Ratio, CI = Confidence Interval

7 Unviariate Logistic regression: transplant_outcome listed_transplant

Characteristic N OR1 95% CI1 p-value
hrs_responders_cat_2 141


    0

    1
1.00 0.50, 1.97 0.990
age 141 1.01 0.97, 1.04 0.735
race_2 141


    0

    1
1.05 0.41, 2.82 0.926
hispanic 141


    0

    1
1.74 0.73, 4.13 0.206
admit_meld_3 141 1.01 0.96, 1.06 0.729
1 OR = Odds Ratio, CI = Confidence Interval

8 Multivariate Logistic regression:transplant_outcome listed_transplant

Characteristic N OR1 95% CI1 p-value
hrs_responders_cat_2 141


    0

    1
0.93 0.46, 1.86 0.8
age 141 1.01 0.98, 1.05 0.5
race_2 141


    0

    1
1.21 0.46, 3.37 0.7
hispanic 141


    0

    1
1.95 0.79, 4.91 0.15
admit_meld_3 141 1.01 0.96, 1.07 0.6
1 OR = Odds Ratio, CI = Confidence Interval

9.1 Unviariate cmp: time_to_death_status_90days_cmp failcode=1 listed_transplant==1

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 141


    0

    1
0.50 0.27, 0.91 0.024
age 141 1.00 0.97, 1.03 0.910
race_2 141


    0

    1
1.08 0.47, 2.49 0.860
hispanic 141


    0

    1
1.08 0.51, 2.28 0.830
admit_meld_3 141 1.03 0.99, 1.08 0.170
1 HR = Hazard Ratio, CI = Confidence Interval

9.2 Unviariate cmp: time_to_death_status_90days_cmp failcode=2 final_master_listed=1

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 141


    0

    1
1.01 0.59, 1.71 0.980
age 141 1.00 0.98, 1.03 0.720
race_2 141


    0

    1
0.96 0.44, 2.09 0.910
hispanic 141


    0

    1
1.41 0.75, 2.68 0.290
admit_meld_3 141 1.00 0.97, 1.04 0.800
1 HR = Hazard Ratio, CI = Confidence Interval

10.1 Multiviariate cmp: time_to_death_status_90days_cmp failcode=1 final_master_listed=1

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 141


    0

    1
0.49 0.26, 0.92 0.027
age 141 1.01 0.97, 1.04 0.7
race_2 141


    0

    1
1.24 0.53, 2.89 0.6
hispanic 141


    0

    1
1.32 0.61, 2.86 0.5
admit_meld_3 141 1.03 0.98, 1.08 0.2
1 HR = Hazard Ratio, CI = Confidence Interval

10.2 Multiviariate cmp: time_to_death_status_90days_cmp failcode=2 final_master_listed=1

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 141


    0

    1
0.97 0.57, 1.66 >0.9
age 141 1.01 0.98, 1.04 0.5
race_2 141


    0

    1
1.05 0.46, 2.36 >0.9
hispanic 141


    0

    1
1.55 0.75, 3.21 0.2
admit_meld_3 141 1.01 0.97, 1.04 0.7
1 HR = Hazard Ratio, CI = Confidence Interval

11.1 Unviariate cmp: time_to_death_status_90days_cmp failcode=1 final_master_listed=1

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 141


    0

    1
0.56 0.27, 1.18 0.130
age 141 1.00 0.97, 1.03 0.910
race_2 141


    0

    1
1.08 0.47, 2.49 0.860
hispanic 141


    0

    1
1.08 0.51, 2.28 0.830
admit_meld_3 141 1.03 0.99, 1.08 0.170
1 HR = Hazard Ratio, CI = Confidence Interval

11.2 Unviariate cmp: time_to_death_status_90days_cmp failcode=2 final_master_listed=1

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 141


    0

    1
0.81 0.44, 1.52 0.520
age 141 1.00 0.98, 1.03 0.720
race_2 141


    0

    1
0.96 0.44, 2.09 0.910
hispanic 141


    0

    1
1.41 0.75, 2.68 0.290
admit_meld_3 141 1.00 0.97, 1.04 0.800
1 HR = Hazard Ratio, CI = Confidence Interval

12.1 Multiviariate cmp: time_to_death_status_90days_cmp failcode=1 final_master_listed=1

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 141


    0

    1
0.59 0.27, 1.31 0.2
age 141 1.00 0.97, 1.04 >0.9
race_2 141


    0

    1
1.19 0.52, 2.72 0.7
hispanic 141


    0

    1
1.14 0.53, 2.45 0.8
admit_meld_3 141 1.03 0.98, 1.08 0.3
1 HR = Hazard Ratio, CI = Confidence Interval

12.2 Multiviariate cmp: time_to_death_status_90days_cmp failcode=2 final_master_listed=1

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 141


    0

    1
0.84 0.44, 1.60 0.6
age 141 1.01 0.98, 1.04 0.5
race_2 141


    0

    1
1.06 0.47, 2.37 0.9
hispanic 141


    0

    1
1.53 0.74, 3.17 0.3
admit_meld_3 141 1.01 0.97, 1.04 0.8
1 HR = Hazard Ratio, CI = Confidence Interval

16 Unviariate coxph regression: time_to_death_90days

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 243


    0

    1
0.70 0.45, 1.08 0.109
age 243 1.01 0.99, 1.03 0.351
race_2 243


    0

    1
1.11 0.63, 1.95 0.719
hispanic 243


    0

    1
0.73 0.41, 1.30 0.286
admit_meld_3 243 1.02 1.00, 1.05 0.075
listed_transplant 243


    0

    1
0.43 0.29, 0.63 <0.001
1 HR = Hazard Ratio, CI = Confidence Interval
Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 243


    0

    1
0.70 0.45, 1.08 0.109
age 243 1.01 0.99, 1.03 0.351
race_2 243


    0

    1
1.11 0.63, 1.95 0.719
hispanic 243


    0

    1
0.73 0.41, 1.30 0.286
admit_meld_3 243 1.02 1.00, 1.05 0.075
listed_transplant 243


    0

    1
0.43 0.29, 0.63 <0.001
1 HR = Hazard Ratio, CI = Confidence Interval

17 Multivariate coxph regression: time_to_death_90days

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 243


    0

    1
0.67 0.43, 1.06 0.089
age 243 1.02 1.00, 1.04 0.086
race_2 243


    0

    1
1.18 0.67, 2.09 0.6
hispanic 243


    0

    1
0.78 0.44, 1.41 0.4
admit_meld_3 243 1.04 1.01, 1.07 0.014
listed_transplant 243


    0

    1
0.39 0.26, 0.58 <0.001
1 HR = Hazard Ratio, CI = Confidence Interval

18 Unviariate coxph regression:

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 243


    0

    1
0.57 0.38, 0.84 0.004
age 243 1.01 0.99, 1.03 0.351
race_2 243


    0

    1
1.11 0.63, 1.95 0.719
hispanic 243


    0

    1
0.73 0.41, 1.30 0.286
admit_meld_3 243 1.02 1.00, 1.05 0.075
listed_transplant 243


    0

    1
0.43 0.29, 0.63 <0.001
1 HR = Hazard Ratio, CI = Confidence Interval

19 Multivariate coxph regression:

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 243


    0

    1
0.53 0.35, 0.79 0.002
age 243 1.02 1.00, 1.04 0.025
race_2 243


    0

    1
1.12 0.63, 1.97 0.7
hispanic 243


    0

    1
0.84 0.47, 1.50 0.6
admit_meld_3 243 1.04 1.01, 1.07 0.008
listed_transplant 243


    0

    1
0.38 0.26, 0.57 <0.001
1 HR = Hazard Ratio, CI = Confidence Interval

20 Unviariate coxph regression: transplant_outcome

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 243


    0

    1
0.69 0.38, 1.25 0.222
age 243 1.00 0.98, 1.02 0.965
race_2 243


    0

    1
0.84 0.41, 1.72 0.638
hispanic 243


    0

    1
1.71 0.92, 3.17 0.088
admit_meld_3 243 1.02 0.99, 1.06 0.190
1 HR = Hazard Ratio, CI = Confidence Interval

21 Multivariate coxph regression:transplant_outcome

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 243


    0

    1
0.77 0.42, 1.44 0.4
age 243 1.01 0.98, 1.04 0.4
race_2 243


    0

    1
0.93 0.45, 1.90 0.8
hispanic 243


    0

    1
1.76 0.93, 3.35 0.084
admit_meld_3 243 1.03 0.99, 1.07 0.2
1 HR = Hazard Ratio, CI = Confidence Interval

22 Unviariate coxph regression: transplant_outcome

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 243


    0

    1
0.99 0.59, 1.66 0.973
age 243 1.00 0.98, 1.02 0.965
race_2 243


    0

    1
0.84 0.41, 1.72 0.638
hispanic 243


    0

    1
1.71 0.92, 3.17 0.088
admit_meld_3 243 1.02 0.99, 1.06 0.190
1 HR = Hazard Ratio, CI = Confidence Interval

23 Multivariate coxph regression:transplant_outcome

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 243


    0

    1
1.02 0.60, 1.73 >0.9
age 243 1.01 0.99, 1.04 0.4
race_2 243


    0

    1
0.92 0.45, 1.88 0.8
hispanic 243


    0

    1
1.83 0.97, 3.46 0.064
admit_meld_3 243 1.03 0.99, 1.07 0.12
1 HR = Hazard Ratio, CI = Confidence Interval

Map

added 1 Unviariate cmp: time_to_death_status_90days_cmp failcode=1

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 243


    0

    1
0.56 0.38, 0.83 0.004
age 243 1.01 0.99, 1.03 0.410
race_2 243


    0

    1
1.06 0.62, 1.80 0.830
hispanic 243


    0

    1
0.76 0.43, 1.36 0.360
admit_meld_3 243 1.02 1.00, 1.05 0.070
1 HR = Hazard Ratio, CI = Confidence Interval

added 1 Multiviariate cmp: time_to_death_status_90days_cmp failcode=1

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 243


    0

    1
0.57 0.38, 0.85 0.006
age 243 1.02 1.00, 1.04 0.10
race_2 243


    0

    1
1.11 0.63, 1.93 0.7
hispanic 243


    0

    1
0.86 0.49, 1.50 0.6
admit_meld_3 243 1.03 1.00, 1.06 0.041
1 HR = Hazard Ratio, CI = Confidence Interval

added 2 Unviariate cmp: time_to_death_status_90days_cmp failcode=1 HRS_criteria_3 == 1

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 119


    0

    1
0.69 0.42, 1.14 0.150
age 119 1.03 1.01, 1.06 0.013
race_2 119


    0

    1
2.56 0.95, 6.90 0.063
hispanic 119


    0

    1
0.75 0.33, 1.69 0.480
admit_meld_3 119 0.98 0.94, 1.02 0.360
1 HR = Hazard Ratio, CI = Confidence Interval

added 2 Multiviariate cmp: time_to_death_status_90days_cmp failcode=1 HRS_criteria_3 == 1

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 119


    0

    1
0.69 0.41, 1.16 0.2
age 119 1.03 1.00, 1.06 0.040
race_2 119


    0

    1
2.28 0.86, 6.06 0.10
hispanic 119


    0

    1
0.88 0.37, 2.08 0.8
admit_meld_3 119 1.00 0.96, 1.04 >0.9
1 HR = Hazard Ratio, CI = Confidence Interval

added 3 Unviariate cmp: time_to_death_status_90days_cmp failcode=1 HRS_criteria_3 == 0

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 124


    0

    1
0.52 0.28, 0.97 0.040
age 124 0.98 0.95, 1.01 0.270
race_2 124


    0

    1
0.47 0.24, 0.92 0.028
hispanic 124


    0

    1
0.90 0.40, 2.04 0.810
admit_meld_3 124 1.04 0.99, 1.09 0.110
1 HR = Hazard Ratio, CI = Confidence Interval

added 3 Multiviariate cmp: time_to_death_status_90days_cmp failcode=1 HRS_criteria_3 == 0

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 124


    0

    1
0.50 0.26, 0.94 0.032
age 124 0.99 0.96, 1.02 0.5
race_2 124


    0

    1
0.44 0.21, 0.90 0.025
hispanic 124


    0

    1
0.67 0.30, 1.49 0.3
admit_meld_3 124 1.04 1.0, 1.09 0.086
1 HR = Hazard Ratio, CI = Confidence Interval

added 4 Unviariate cmp: time_to_death_status_90days_cmp failcode=2 listed_transplant == 1

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 141


    0

    1
1.01 0.59, 1.71 0.980
age 141 1.00 0.98, 1.03 0.720
race_2 141


    0

    1
0.96 0.44, 2.09 0.910
hispanic 141


    0

    1
1.41 0.75, 2.68 0.290
admit_meld_3 141 1.00 0.97, 1.04 0.800
1 HR = Hazard Ratio, CI = Confidence Interval

added 4 Multiviariate cmp: time_to_death_status_90days_cmp failcode=2 listed_transplant == 1

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 141


    0

    1
0.97 0.57, 1.66 >0.9
age 141 1.01 0.98, 1.04 0.5
race_2 141


    0

    1
1.05 0.46, 2.36 >0.9
hispanic 141


    0

    1
1.55 0.75, 3.21 0.2
admit_meld_3 141 1.01 0.97, 1.04 0.7
1 HR = Hazard Ratio, CI = Confidence Interval

added 5 Unviariate cmp: time_to_death_status_90days_cmp failcode=2 listed_transplant == 0

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 102


    0

    1
1.50 0.14, 16.3 0.740
age 102 0.99 0.87, 1.12 0.880
race_2 102


    0

    1
0.29 0.03, 3.00 0.300
hispanic 102


    0

    1
0.00 0.00, 0.00 <0.001
admit_meld_3 102 1.20 1.04, 1.39 0.016
1 HR = Hazard Ratio, CI = Confidence Interval

added 5 Multiviariate cmp: time_to_death_status_90days_cmp failcode=2 listed_transplant == 0

Characteristic N HR1 95% CI1 p-value
hrs_responders_cat_2 102


    0

    1
2.29 0.31, 16.9 0.4
age 102 1.08 0.95, 1.22 0.3
race_2 102


    0

    1
0.45 0.06, 3.24 0.4
hispanic 102


    0

    1
0.00 0.00, 0.00 <0.001
admit_meld_3 102 1.36 1.16, 1.59 <0.001
1 HR = Hazard Ratio, CI = Confidence Interval

added 1.1 Multiviariate cmp: time_to_death_status_90days_cmp failcode=1

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 243


    0

    1
0.71 0.45, 1.12 0.14
age 243 1.01 0.99, 1.04 0.2
race_2 243


    0

    1
1.13 0.65, 1.97 0.7
hispanic 243


    0

    1
0.79 0.45, 1.40 0.4
admit_meld_3 243 1.03 1.00, 1.06 0.059
1 HR = Hazard Ratio, CI = Confidence Interval

added 2.1 Unviariate cmp: time_to_death_status_90days_cmp failcode=1 HRS_criteria_3 == 1

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 119


    0

    1
0.87 0.50, 1.50 0.610
age 119 1.03 1.01, 1.06 0.013
race_2 119


    0

    1
2.56 0.95, 6.90 0.063
hispanic 119


    0

    1
0.75 0.33, 1.69 0.480
admit_meld_3 119 0.98 0.94, 1.02 0.360
1 HR = Hazard Ratio, CI = Confidence Interval

added 2.1 Multiviariate cmp: time_to_death_status_90days_cmp failcode=1 HRS_criteria_3 == 1

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 119


    0

    1
0.84 0.49, 1.45 0.5
age 119 1.03 1.00, 1.06 0.038
race_2 119


    0

    1
2.43 0.90, 6.62 0.081
hispanic 119


    0

    1
0.80 0.33, 1.93 0.6
admit_meld_3 119 1.00 0.96, 1.05 0.9
1 HR = Hazard Ratio, CI = Confidence Interval

added 3.1 Unviariate cmp: time_to_death_status_90days_cmp failcode=1 HRS_criteria_3 == 0

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 124


    0

    1
0.53 0.26, 1.06 0.072
age 124 0.98 0.95, 1.01 0.270
race_2 124


    0

    1
0.47 0.24, 0.92 0.028
hispanic 124


    0

    1
0.90 0.40, 2.04 0.810
admit_meld_3 124 1.04 0.99, 1.09 0.110
1 HR = Hazard Ratio, CI = Confidence Interval

added 3.1 Multiviariate cmp: time_to_death_status_90days_cmp failcode=1 HRS_criteria_3 == 0

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 124


    0

    1
0.51 0.25, 1.04 0.065
age 124 0.98 0.95, 1.01 0.2
race_2 124


    0

    1
0.43 0.21, 0.87 0.018
hispanic 124


    0

    1
0.65 0.29, 1.45 0.3
admit_meld_3 124 1.03 0.98, 1.08 0.2
1 HR = Hazard Ratio, CI = Confidence Interval

added 4.1 Unviariate cmp: time_to_death_status_90days_cmp failcode=2 listed_transplant == 1

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 141


    0

    1
0.81 0.44, 1.52 0.520
age 141 1.00 0.98, 1.03 0.720
race_2 141


    0

    1
0.96 0.44, 2.09 0.910
hispanic 141


    0

    1
1.41 0.75, 2.68 0.290
admit_meld_3 141 1.00 0.97, 1.04 0.800
1 HR = Hazard Ratio, CI = Confidence Interval

added 4.1 Multiviariate cmp: time_to_death_status_90days_cmp failcode=2 listed_transplant == 1

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 141


    0

    1
0.84 0.44, 1.60 0.6
age 141 1.01 0.98, 1.04 0.5
race_2 141


    0

    1
1.06 0.47, 2.37 0.9
hispanic 141


    0

    1
1.53 0.74, 3.17 0.3
admit_meld_3 141 1.01 0.97, 1.04 0.8
1 HR = Hazard Ratio, CI = Confidence Interval

added 5.1 Unviariate cmp: time_to_death_status_90days_cmp failcode=2 listed_transplant == 0

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 102


    0

    1
0.88 0.08, 9.42 0.920
age 102 0.99 0.87, 1.12 0.880
race_2 102


    0

    1
0.29 0.03, 3.00 0.300
hispanic 102


    0

    1
0.00 0.00, 0.00 <0.001
admit_meld_3 102 1.20 1.04, 1.39 0.016
1 HR = Hazard Ratio, CI = Confidence Interval

added 5.1 Multiviariate cmp: time_to_death_status_90days_cmp failcode=2 listed_transplant == 0

Characteristic N HR1 95% CI1 p-value
HRS_reversal_new 102


    0

    1
3.05 0.23, 41.1 0.4
age 102 1.12 1.02, 1.23 0.017
race_2 102


    0

    1
0.32 0.07, 1.52 0.2
hispanic 102


    0

    1
0.00 0.00, 0.00 <0.001
admit_meld_3 102 1.44 1.19, 1.73 <0.001
1 HR = Hazard Ratio, CI = Confidence Interval

AE Discont_Day

ae_vars <- c(
  "any_ae",
  "terli_ae_abdpain",
  "terli_ae_nausea",
  "terli_ae_diarrhea",
  "terli_ae_volover",
  "terli_ae_brady",
  "terli_7",
  "terli_8",
  "terli_ae_respfail"
)

# Function to summarize median and IQR for each AE variable
summarize_ae <- function(var) {
  final_master %>% 
    group_by(.data[[var]]) %>%
    summarise(
      AE_Var = var,
      Group = as.character(.data[[var]][1]),
      Q1 = quantile(Discont_Day, probs = 0.25, na.rm = TRUE),
      Median = quantile(Discont_Day, probs = 0.5, na.rm = TRUE),
      Q3 = quantile(Discont_Day, probs = 0.75, na.rm = TRUE),
      .groups = "drop"
    )
}

# Apply to each variable and combine results
ae_summary <- map_dfr(ae_vars, summarize_ae) %>% select(AE_Var,Group,Q1,Median,Q3) %>% filter(Group==1)
ae_summary
## # A tibble: 9 × 5
##   AE_Var            Group    Q1 Median    Q3
##   <chr>             <chr> <dbl>  <dbl> <dbl>
## 1 any_ae            1         1      2  2.75
## 2 terli_ae_abdpain  1         1      1  2   
## 3 terli_ae_nausea   1         1      1  1   
## 4 terli_ae_diarrhea 1         1      1  1   
## 5 terli_ae_volover  1         2      3  4.25
## 6 terli_ae_brady    1         1      1  1.75
## 7 terli_7           1         1      2  4   
## 8 terli_8           1         1      1  2.5 
## 9 terli_ae_respfail 1         2      2  4