90 days survival

death only

coxph(Surv(death_in_90days_time,death_in_90days_status) ~ repsonse_cat, data = master)%>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.39 0.22, 0.69 0.001
1 HR = Hazard Ratio, CI = Confidence Interval

death only multivariate

coxph(Surv(death_in_90days_time,death_in_90days_status) ~ repsonse_cat+age_admission+sex+White+hispanic_race+etiology_cirrhosis+MELD_Na_baseline+site, data = master)%>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.30 0.16, 0.56 <0.001
age_admission 1.02 0.99, 1.05 0.15
sex
    1 — —
    2 1.18 0.67, 2.10 0.6
White
    0 — —
    1 1.72 0.69, 4.27 0.2
hispanic_race
    0 — —
    1 0.78 0.26, 2.35 0.7
etiology_cirrhosis
    Alcohol — —
    HCV 1.04 0.21, 5.23 >0.9
    Multifactorial 1.66 0.60, 4.60 0.3
    NASH 1.33 0.59, 2.98 0.5
    Other 2.50 1.08, 5.81 0.033
MELD_Na_baseline 1.02 0.98, 1.07 0.3
site
    baylor — —
    indiana 5.82 0.70, 48.0 0.10
    jacksonville 1.07 0.10, 10.9 >0.9
    kentukey 2.60 0.22, 31.2 0.5
    MCW 9.35 1.09, 80.2 0.042
    mgh 3.48 0.40, 30.3 0.3
    michigan 4.12 0.45, 38.0 0.2
    oschner 4.51 0.39, 52.2 0.2
    rochester 2.35 0.28, 19.5 0.4
    usc 2.30 0.24, 21.5 0.5
    yale 8.27 0.82, 83.2 0.073
1 HR = Hazard Ratio, CI = Confidence Interval

death or transplant

coxph(Surv(time_90days,status_90days!=0) ~ repsonse_cat, data = master)%>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.30 0.22, 0.41 <0.001
1 HR = Hazard Ratio, CI = Confidence Interval

death or transplant multivariate

coxph(Surv(time_90days,status_90days!=0) ~ repsonse_cat+age_admission+sex+White+hispanic_race+etiology_cirrhosis+MELD_Na_baseline+site, data = master)%>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.35 0.25, 0.50 <0.001
age_admission 1.00 0.98, 1.01 0.8
sex
    1 — —
    2 1.00 0.72, 1.38 >0.9
White
    0 — —
    1 0.92 0.59, 1.43 0.7
hispanic_race
    0 — —
    1 0.75 0.45, 1.26 0.3
etiology_cirrhosis
    Alcohol — —
    HCV 0.80 0.34, 1.91 0.6
    Multifactorial 1.39 0.78, 2.47 0.3
    NASH 1.66 1.05, 2.63 0.031
    Other 1.74 1.08, 2.80 0.023
MELD_Na_baseline 1.07 1.04, 1.10 <0.001
site
    baylor — —
    indiana 2.90 0.99, 8.50 0.053
    jacksonville 5.22 1.75, 15.6 0.003
    kentukey 2.04 0.59, 7.03 0.3
    MCW 2.04 0.65, 6.42 0.2
    mgh 1.55 0.51, 4.71 0.4
    michigan 1.66 0.49, 5.60 0.4
    oschner 1.08 0.24, 4.94 >0.9
    rochester 1.67 0.57, 4.90 0.3
    usc 6.71 2.21, 20.3 <0.001
    yale 2.74 0.73, 10.3 0.14
1 HR = Hazard Ratio, CI = Confidence Interval

Fine and Gray event: death competing risk: liver transplant

test <- master
test$status_90days <- as.factor(test$status_90days)
tidycmprsk::crr(Surv(time_90days,status_90days) ~ repsonse_cat,failcode=1,cencode=0, data = test) %>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.42 0.24, 0.74 0.003
1 HR = Hazard Ratio, CI = Confidence Interval

Fine and Gray event: death competing risk: liver transplant multivariate

test <- master
test$status_90days <- as.factor(test$status_90days)
tidycmprsk::crr(Surv(time_90days,status_90days) ~ repsonse_cat+age_admission+sex+White+hispanic_race+etiology_cirrhosis+MELD_Na_baseline+site,failcode=1,cencode=0, data = test) %>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.34 0.18, 0.65 0.001
age_admission 1.03 0.99, 1.07 0.2
sex
    1 — —
    2 1.03 0.57, 1.89 >0.9
White
    0 — —
    1 1.67 0.62, 4.47 0.3
hispanic_race
    0 — —
    1 0.78 0.22, 2.76 0.7
etiology_cirrhosis
    Alcohol — —
    HCV 1.04 0.16, 6.87 >0.9
    Multifactorial 1.33 0.50, 3.54 0.6
    NASH 1.23 0.54, 2.79 0.6
    Other 2.47 1.10, 5.53 0.028
MELD_Na_baseline 1.03 0.97, 1.09 0.4
site
    baylor — —
    indiana 4.28 0.42, 43.8 0.2
    jacksonville 1.04 0.08, 13.9 >0.9
    kentukey 2.28 0.14, 37.1 0.6
    MCW 8.77 0.84, 91.5 0.069
    mgh 3.33 0.29, 38.1 0.3
    michigan 4.12 0.38, 45.0 0.3
    oschner 4.21 0.31, 57.9 0.3
    rochester 2.34 0.24, 22.6 0.5
    usc 2.11 0.17, 26.8 0.6
    yale 8.15 0.74, 90.3 0.087
1 HR = Hazard Ratio, CI = Confidence Interval

Fine and Gray event: liver transplant competing risk: death

tidycmprsk::crr(Surv(time_90days,status_90days) ~ repsonse_cat,failcode=2,cencode=0, data = test) %>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.38 0.26, 0.55 <0.001
1 HR = Hazard Ratio, CI = Confidence Interval

Fine and Gray event: liver transplant competing risk: death

tidycmprsk::crr(Surv(time_90days,status_90days) ~ repsonse_cat+age_admission+sex+White+hispanic_race+etiology_cirrhosis+MELD_Na_baseline+site,failcode=2,cencode=0, data = test) %>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.55 0.37, 0.84 0.005
age_admission 1.00 0.98, 1.01 0.6
sex
    1 — —
    2 0.83 0.56, 1.24 0.4
White
    0 — —
    1 0.81 0.49, 1.34 0.4
hispanic_race
    0 — —
    1 1.00 0.63, 1.59 >0.9
etiology_cirrhosis
    Alcohol — —
    HCV 0.67 0.27, 1.66 0.4
    Multifactorial 1.42 0.76, 2.68 0.3
    NASH 1.41 0.84, 2.36 0.2
    Other 1.05 0.59, 1.85 0.9
MELD_Na_baseline 1.06 1.03, 1.09 <0.001
site
    baylor — —
    indiana 1.95 0.56, 6.80 0.3
    jacksonville 4.63 1.32, 16.2 0.016
    kentukey 1.83 0.45, 7.49 0.4
    MCW 0.95 0.23, 3.87 >0.9
    mgh 1.11 0.31, 3.97 0.9
    michigan 1.03 0.23, 4.69 >0.9
    oschner 0.41 0.04, 3.71 0.4
    rochester 1.35 0.38, 4.78 0.6
    usc 5.05 1.41, 18.1 0.013
    yale 1.14 0.20, 6.63 0.9
1 HR = Hazard Ratio, CI = Confidence Interval

death only vasoconstrictor

coxph(Surv(death_in_90days_time,death_in_90days_status) ~ repsonse_cat, data = master)%>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.39 0.22, 0.69 0.001
1 HR = Hazard Ratio, CI = Confidence Interval

death only vasoconstrictor multivariate

coxph(Surv(death_in_90days_time,death_in_90days_status) ~ repsonse_cat+age_admission+sex+White+hispanic_race+etiology_cirrhosis+MELD_Na_baseline+site, data = master)%>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.30 0.16, 0.56 <0.001
age_admission 1.02 0.99, 1.05 0.15
sex
    1 — —
    2 1.18 0.67, 2.10 0.6
White
    0 — —
    1 1.72 0.69, 4.27 0.2
hispanic_race
    0 — —
    1 0.78 0.26, 2.35 0.7
etiology_cirrhosis
    Alcohol — —
    HCV 1.04 0.21, 5.23 >0.9
    Multifactorial 1.66 0.60, 4.60 0.3
    NASH 1.33 0.59, 2.98 0.5
    Other 2.50 1.08, 5.81 0.033
MELD_Na_baseline 1.02 0.98, 1.07 0.3
site
    baylor — —
    indiana 5.82 0.70, 48.0 0.10
    jacksonville 1.07 0.10, 10.9 >0.9
    kentukey 2.60 0.22, 31.2 0.5
    MCW 9.35 1.09, 80.2 0.042
    mgh 3.48 0.40, 30.3 0.3
    michigan 4.12 0.45, 38.0 0.2
    oschner 4.51 0.39, 52.2 0.2
    rochester 2.35 0.28, 19.5 0.4
    usc 2.30 0.24, 21.5 0.5
    yale 8.27 0.82, 83.2 0.073
1 HR = Hazard Ratio, CI = Confidence Interval

death or transplant vasoconstrictor

coxph(Surv(time_90days,status_90days!=0) ~ repsonse_cat, data = master)%>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.30 0.22, 0.41 <0.001
1 HR = Hazard Ratio, CI = Confidence Interval

death or transplant vasoconstrictor multivariate

coxph(Surv(time_90days,status_90days!=0) ~ repsonse_cat+age_admission+sex+White+hispanic_race+etiology_cirrhosis+MELD_Na_baseline+site, data = master)%>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.35 0.25, 0.50 <0.001
age_admission 1.00 0.98, 1.01 0.8
sex
    1 — —
    2 1.00 0.72, 1.38 >0.9
White
    0 — —
    1 0.92 0.59, 1.43 0.7
hispanic_race
    0 — —
    1 0.75 0.45, 1.26 0.3
etiology_cirrhosis
    Alcohol — —
    HCV 0.80 0.34, 1.91 0.6
    Multifactorial 1.39 0.78, 2.47 0.3
    NASH 1.66 1.05, 2.63 0.031
    Other 1.74 1.08, 2.80 0.023
MELD_Na_baseline 1.07 1.04, 1.10 <0.001
site
    baylor — —
    indiana 2.90 0.99, 8.50 0.053
    jacksonville 5.22 1.75, 15.6 0.003
    kentukey 2.04 0.59, 7.03 0.3
    MCW 2.04 0.65, 6.42 0.2
    mgh 1.55 0.51, 4.71 0.4
    michigan 1.66 0.49, 5.60 0.4
    oschner 1.08 0.24, 4.94 >0.9
    rochester 1.67 0.57, 4.90 0.3
    usc 6.71 2.21, 20.3 <0.001
    yale 2.74 0.73, 10.3 0.14
1 HR = Hazard Ratio, CI = Confidence Interval

Fine and Gray event: death competing risk: liver transplant vasoconstrictor

test_vasco <- master_vasoconstrictor
test_vasco$status_90days <- as.factor(test_vasco$status_90days)
tidycmprsk::crr(Surv(time_90days,status_90days) ~ repsonse_cat,failcode=1,cencode=0, data = test_vasco) %>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.44 0.23, 0.86 0.016
1 HR = Hazard Ratio, CI = Confidence Interval

Fine and Gray event: death competing risk: liver transplant vasoconstrictor multivariate

tidycmprsk::crr(Surv(time_90days,status_90days) ~ repsonse_cat+age_admission+sex+White+hispanic_race+etiology_cirrhosis+MELD_Na_baseline+site,failcode=1,cencode=0, data = test_vasco) %>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.28 0.13, 0.60 <0.001
age_admission 1.02 0.98, 1.07 0.3
sex
    1 — —
    2 1.03 0.51, 2.08 >0.9
White
    0 — —
    1 1.67 0.51, 5.48 0.4
hispanic_race
    0 — —
    1 0.73 0.20, 2.59 0.6
etiology_cirrhosis
    Alcohol — —
    HCV 0.85 0.10, 7.27 0.9
    Multifactorial 1.42 0.52, 3.88 0.5
    NASH 1.17 0.40, 3.40 0.8
    Other 2.57 0.93, 7.07 0.068
MELD_Na_baseline 0.98 0.90, 1.06 0.5
site
    baylor — —
    indiana 1.29 0.13, 12.5 0.8
    jacksonville 0.26 0.01, 5.13 0.4
    kentukey 1.28 0.09, 17.5 0.9
    MCW 2.97 0.31, 28.8 0.4
    mgh 1.26 0.12, 13.4 0.9
    michigan 0.65 0.03, 13.3 0.8
    oschner 1.05 0.08, 14.6 >0.9
    rochester 1.07 0.10, 11.4 >0.9
    usc 0.58 0.04, 8.38 0.7
    yale 2.50 0.27, 22.8 0.4
1 HR = Hazard Ratio, CI = Confidence Interval

Fine and Gray event: liver transplant competing risk: death vasoconstrictor

tidycmprsk::crr(Surv(time_90days,status_90days) ~ repsonse_cat,failcode=2,cencode=0, data = test_vasco) %>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.33 0.20, 0.54 <0.001
1 HR = Hazard Ratio, CI = Confidence Interval

Fine and Gray event: liver transplant competing risk: death vasoconstrictor multivariate

tidycmprsk::crr(Surv(time_90days,status_90days) ~ repsonse_cat+age_admission+sex+White+hispanic_race+etiology_cirrhosis+MELD_Na_baseline+site,failcode=2,cencode=0, data = test_vasco) %>% tbl_regression(exp = TRUE)
Characteristic HR1 95% CI1 p-value
repsonse_cat
    no response — —
    overall response 0.49 0.28, 0.86 0.012
age_admission 1.00 0.98, 1.02 0.8
sex
    1 — —
    2 0.69 0.40, 1.19 0.2
White
    0 — —
    1 0.85 0.49, 1.48 0.6
hispanic_race
    0 — —
    1 1.07 0.58, 1.97 0.8
etiology_cirrhosis
    Alcohol — —
    HCV 0.68 0.26, 1.78 0.4
    Multifactorial 1.42 0.60, 3.37 0.4
    NASH 1.29 0.70, 2.35 0.4
    Other 0.99 0.51, 1.93 >0.9
MELD_Na_baseline 1.05 1.00, 1.09 0.029
site
    baylor — —
    indiana 1.71 0.17, 17.3 0.7
    jacksonville 5.31 0.51, 55.3 0.2
    kentukey 1.80 0.14, 22.8 0.7
    MCW 0.91 0.08, 10.1 >0.9
    mgh 2.01 0.20, 20.7 0.6
    michigan 1.74 0.13, 24.2 0.7
    oschner 0.00 0.00, 0.00 <0.001
    rochester 1.33 0.12, 14.2 0.8
    usc 5.74 0.54, 61.3 0.2
    yale 1.53 0.08, 29.9 0.8
1 HR = Hazard Ratio, CI = Confidence Interval