CI Isotime

Selon Repondeurs VEMS

t.test(update$del_CI_IsoP~ update$Repondeur_VEMS, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  update$del_CI_IsoP by update$Repondeur_VEMS
## t = -3.44, df = 37, p-value = 0.001456
## alternative hypothesis: true difference in means between group Non répondeur and group Répondeur is not equal to 0
## 95 percent confidence interval:
##  -668.2325 -172.8370
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   -22.35294                   398.18182

Selon Repondeurs VR

t.test(update$del_CI_IsoP~ update$repondeurs.VR, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  update$del_CI_IsoP by update$repondeurs.VR
## t = -2.81, df = 37, p-value = 0.007872
## alternative hypothesis: true difference in means between group Non répondeur and group Répondeur is not equal to 0
## 95 percent confidence interval:
##  -621.5983 -100.7387
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                      1.8750                    363.0435

Selon Repondeur HID

t.test(update$del_CI_IsoP~ update$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  update$del_CI_IsoP by update$Repondeur_HID
## t = -7.4527, df = 37, p-value = 7.13e-09
## alternative hypothesis: true difference in means between group Non répondeur and group Répondeur is not equal to 0
## 95 percent confidence interval:
##  -835.0863 -478.0716
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   -105.0000                    551.5789

Amelioration des répondeurs HID

CVF

t.test(update$del_CVF~ update$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  update$del_CVF by update$Repondeur_HID
## t = -2.4093, df = 37, p-value = 0.02107
## alternative hypothesis: true difference in means between group Non répondeur and group Répondeur is not equal to 0
## 95 percent confidence interval:
##  -675.29574  -58.33058
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    128.4500                    495.2632

VEMS

t.test(update$del_VEMS~ update$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  update$del_VEMS by update$Repondeur_HID
## t = -1.928, df = 37, p-value = 0.06156
## alternative hypothesis: true difference in means between group Non répondeur and group Répondeur is not equal to 0
## 95 percent confidence interval:
##  -287.238655    7.133392
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    101.0000                    241.0526

VR

t.test(update$del_VR~ update$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  update$del_VR by update$Repondeur_HID
## t = 1.433, df = 37, p-value = 0.1603
## alternative hypothesis: true difference in means between group Non répondeur and group Répondeur is not equal to 0
## 95 percent confidence interval:
##  -152.6784  890.3626
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   -418.0000                   -786.8421

TLVR

t.test(update$TLVR~ update$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  update$TLVR by update$Repondeur_HID
## t = 2.8989, df = 31, p-value = 0.006821
## alternative hypothesis: true difference in means between group Non répondeur and group Répondeur is not equal to 0
## 95 percent confidence interval:
##   189.7444 1090.3585
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   -575.8235                  -1215.8750

CI Pic recalculé

t.test(update$del_CI_Pic_recalcule~ update$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  update$del_CI_Pic_recalcule by update$Repondeur_HID
## t = -4.6764, df = 37, p-value = 3.816e-05
## alternative hypothesis: true difference in means between group Non répondeur and group Répondeur is not equal to 0
## 95 percent confidence interval:
##  -553.6620 -218.9169
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                    -30.5000                    355.7895

CI isoP

t.test(update$del_CI_IsoP~ update$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  update$del_CI_IsoP by update$Repondeur_HID
## t = -7.4527, df = 37, p-value = 7.13e-09
## alternative hypothesis: true difference in means between group Non répondeur and group Répondeur is not equal to 0
## 95 percent confidence interval:
##  -835.0863 -478.0716
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   -105.0000                    551.5789

EELV Pic

t.test(update$Delta_EELV_pic~ update$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  update$Delta_EELV_pic by update$Repondeur_HID
## t = 0.66364, df = 37, p-value = 0.511
## alternative hypothesis: true difference in means between group Non répondeur and group Répondeur is not equal to 0
## 95 percent confidence interval:
##  -463.0937  914.2042
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   -546.5500                   -772.1053

EELV Isotime

t.test(update$Delta_EELV_Isotime~ update$Repondeur_HID, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  update$Delta_EELV_Isotime by update$Repondeur_HID
## t = 1.4285, df = 37, p-value = 0.1615
## alternative hypothesis: true difference in means between group Non répondeur and group Répondeur is not equal to 0
## 95 percent confidence interval:
##  -207.4742 1199.1637
## sample estimates:
## mean in group Non répondeur     mean in group Répondeur 
##                   -472.0500                   -967.8947
library(gtsummary)
## Warning: le package 'gtsummary' a été compilé avec la version R 4.2.2
library(flextable)
## Warning: le package 'flextable' a été compilé avec la version R 4.2.2
## 
## Attachement du package : 'flextable'
## Les objets suivants sont masqués depuis 'package:gtsummary':
## 
##     as_flextable, continuous_summary
## L'objet suivant est masqué depuis 'package:purrr':
## 
##     compose
tbl_summary(update)
Characteristic N = 391
patient.ID
    1_L 1 (2.6%)
    10_L 1 (2.6%)
    10_T 1 (2.6%)
    11_L 1 (2.6%)
    11_T 1 (2.6%)
    12_L 1 (2.6%)
    12_T 1 (2.6%)
    13_L 1 (2.6%)
    13_T 1 (2.6%)
    14_L 1 (2.6%)
    14_T 1 (2.6%)
    15_L 1 (2.6%)
    17_T 1 (2.6%)
    18_T 1 (2.6%)
    19_T 1 (2.6%)
    2_L 1 (2.6%)
    20_T 1 (2.6%)
    21_T 1 (2.6%)
    22_T 1 (2.6%)
    24_T 1 (2.6%)
    25_T 1 (2.6%)
    26_T 1 (2.6%)
    27_T 1 (2.6%)
    3_L 1 (2.6%)
    3_T 1 (2.6%)
    30_T 1 (2.6%)
    31_T 1 (2.6%)
    32_T 1 (2.6%)
    33_T 1 (2.6%)
    34_T 1 (2.6%)
    4_L 1 (2.6%)
    4_T 1 (2.6%)
    5_L 1 (2.6%)
    5_T 1 (2.6%)
    8_L 1 (2.6%)
    8_T 1 (2.6%)
    9_L 1 (2.6%)
    T 2 (5.1%)
Centre
    Limoge 13 (33%)
    Toulouse 26 (67%)
PATIENTS.HID 20 (10, 30)
HID
    Oui 39 (100%)
volume_lobe.T._0 1,536 (1,415, 2,041)
    Unknown 6
volume.lobe.T._1 695 (0, 1,166)
    Unknown 6
TLVR -751 (-1,570, -291)
    Unknown 6
MMRC_0
    2 7 (19%)
    3 19 (51%)
    4 11 (30%)
    Unknown 2
MMRC_1
    1 16 (43%)
    2 11 (30%)
    3 8 (22%)
    4 2 (5.4%)
    Unknown 2
BODE_0
    1 1 (2.8%)
    2 1 (2.8%)
    3 2 (5.6%)
    4 8 (22%)
    5 2 (5.6%)
    6 11 (31%)
    7 9 (25%)
    8 1 (2.8%)
    9 1 (2.8%)
    Unknown 3
BODE_1
    1 5 (14%)
    2 3 (8.3%)
    3 9 (25%)
    4 7 (19%)
    5 6 (17%)
    6 4 (11%)
    7 1 (2.8%)
    9 1 (2.8%)
    Unknown 3
VEMS.ml_0 880 (740, 1,075)
VEMS.ml_1 1,020 (835, 1,355)
del_VEMS 140 (25, 320)
Tiffe_0 39 (30, 45)
Tiffe_0_b 39 (30, 46)
Tiffe_1 37 (33, 43)
CV_ml_0 2,740 (2,050, 3,275)
CV_ml_1 2,980 (2,520, 3,485)
CVF_ml_0 2,500 (1,760, 2,940)
CVF_ml_1 2,650 (2,325, 3,375)
del_CVF 250 (-25, 745)
VR_ml_0 4,960 (4,415, 5,405)
VR_ml_1 4,490 (3,660, 4,935)
del_VR -520 (-1,110, -125)
CPT_ml_0 7,680 (7,020, 8,525)
CPT_ml_1 6,900 (6,450, 8,275)
TLCO_0 33 (29, 41)
    Unknown 12
TLCO_1 35 (32, 44)
    Unknown 12
P_pct._0 86 (77, 120)
    Unknown 21
Pi_pct._1 101 (72, 136)
    Unknown 18
SNIP_KPA_0_b 5.50 (4.50, 6.04)
    Unknown 24
SNIP_KPA_0
    3 2 (13%)
    4 2 (13%)
    5 3 (20%)
    6 6 (40%)
    7 1 (6.7%)
    8 1 (6.7%)
    Unknown 24
SNIP_KPA_1_b 6.50 (5.30, 7.25)
    Unknown 24
SNIP_KPA_1
    4 1 (6.7%)
    5 3 (20%)
    6 3 (20%)
    7 4 (27%)
    8 3 (20%)
    9 1 (6.7%)
    Unknown 24
Ci_rest.recalc._0 2,160 (1,635, 2,470)
Ci_rest.recalc._1 2,150 (1,830, 2,475)
CI_pic.recalc_0 1,440 (1,105, 1,740)
CI_pic.recalc_1 1,500 (1,260, 1,855)
del_CI_Pic_recalcule 180 (-100, 345)
CI_diff.recalc_0 -660 (-1,040, -400)
CI_diff.recalc_1 -580 (-730, -380)
CI_isoP_0 1,470 (1,125, 1,730)
CI_isoP_1 1,610 (1,355, 1,895)
del_CI_IsoP 180 (-105, 415)
temps_sec_0 480 (384, 642)
temps_sec_1 543 (425, 644)
VO2_max_0_b 0.85 (0.69, 1.04)
    Unknown 8
VO2_max_1_b 0.84 (0.74, 1.14)
    Unknown 8
VO2_max_0 27 (93%)
    Unknown 10
VO2_max_1
    0 1 (3.4%)
    1 26 (90%)
    2 2 (6.9%)
    Unknown 10
Wmax_0 40 (30, 56)
Wmax_1 45 (32, 62)
VT_isotime_0 1,000 (820, 1,244)
VT_isotime_1 1,120 (900, 1,472)
vt_pic_0 1,076 (900, 1,295)
vt_pic_1 1,192 (904, 1,446)
VRI_isotime_0 410 (155, 700)
VRI_isotime_1 500 (165, 735)
VO2_FC_0_b 7.14 (6.20, 8.40)
    Unknown 8
VO2_FC_1_b 7.40 (6.00, 8.64)
    Unknown 6
VO2_FC_0
    4 2 (6.5%)
    5 1 (3.2%)
    6 7 (23%)
    7 6 (19%)
    8 7 (23%)
    9 3 (9.7%)
    10 2 (6.5%)
    11 3 (9.7%)
    Unknown 8
VO2_FC_1
    3 1 (3.0%)
    4 2 (6.1%)
    5 1 (3.0%)
    6 7 (21%)
    7 7 (21%)
    8 5 (15%)
    9 6 (18%)
    10 3 (9.1%)
    11 1 (3.0%)
    Unknown 6
dist_parc_0 404 (316, 470)
    Unknown 5
dist_parc_1 428 (378, 488)
    Unknown 5
Nadir_sat_0 85 (82, 90)
    Unknown 5
Nadir_sat_1 85 (82, 90)
    Unknown 5
EELV_repos._0 5,520 (4,885, 6,335)
EELV_repos._1 5,220 (4,340, 5,825)
EELV_pic._0 6,320 (5,675, 7,020)
EELV_pic._1 5,720 (4,915, 6,440)
Delta_EELV_pic -560 (-1,040, -1)
EELV_isotime._0 6,410 (5,675, 7,030)
EELV_isotime._1 5,530 (4,825, 6,440)
Delta_EELV_Isotime -700 (-1,150, 35)
SNIP_KPA_pct_0 64 (50, 70)
    Unknown 19
SNIP_KPA_pct_1 71 (62, 90)
    Unknown 16
Repondeur_VEMS
    Non répondeur 17 (44%)
    Répondeur 22 (56%)
Repondeur_HID
    Non répondeur 20 (51%)
    Répondeur 19 (49%)
repondeurs.VR
    Non répondeur 16 (41%)
    Répondeur 23 (59%)
1 n (%); Median (IQR)