primary analysis for grade2 AEs
tidycmprsk::crr(Surv(cmp_time_anemia_2,cmp_status_anemia_2) ~+sarcopenia_smi +age+Male+eGFR_CRE+pre_ALB_45days+pre_HGB_45days+paclitax+smoking+ppi+pemetrex,failcode=1,cencode=0, data = master) %>% tbl_regression(exp = TRUE)
## 1 cases omitted due to missing values
Characteristic |
HR |
95% CI |
p-value |
sarcopenia_smi |
|
|
|
0 |
— |
— |
|
1 |
1.38 |
1.06, 1.80 |
0.018 |
age |
0.99 |
0.98, 1.01 |
0.3 |
Male |
|
|
|
0 |
— |
— |
|
1 |
0.86 |
0.67, 1.10 |
0.2 |
eGFR_CRE |
0.99 |
0.98, 1.00 |
0.003 |
pre_ALB_45days |
0.47 |
0.35, 0.63 |
<0.001 |
pre_HGB_45days |
0.51 |
0.46, 0.57 |
<0.001 |
paclitax |
|
|
|
0 |
— |
— |
|
1 |
0.97 |
0.40, 2.34 |
>0.9 |
smoking |
|
|
|
0 |
— |
— |
|
1 |
1.41 |
1.06, 1.88 |
0.019 |
ppi |
|
|
|
0 |
— |
— |
|
1 |
1.22 |
0.91, 1.64 |
0.2 |
pemetrex |
|
|
|
0 |
— |
— |
|
1 |
1.19 |
0.62, 2.25 |
0.6 |
tidycmprsk::crr(Surv(cmp_time_throm_2,cmp_status_throm_2) ~sarcopenia_smi+age+Male+eGFR_CRE+pre_ALB_45days+paclitax+smoking+ppi+pemetrex+pre_PLT_45days,failcode=1,cencode=0, data = master) %>% tbl_regression(exp = TRUE)
## 1 cases omitted due to missing values
Characteristic |
HR |
95% CI |
p-value |
sarcopenia_smi |
|
|
|
0 |
— |
— |
|
1 |
1.93 |
1.11, 3.35 |
0.019 |
age |
0.97 |
0.93, 1.00 |
0.090 |
Male |
|
|
|
0 |
— |
— |
|
1 |
0.64 |
0.38, 1.08 |
0.093 |
eGFR_CRE |
0.98 |
0.96, 1.00 |
0.028 |
pre_ALB_45days |
0.27 |
0.16, 0.46 |
<0.001 |
paclitax |
|
|
|
0 |
— |
— |
|
1 |
0.46 |
0.09, 2.36 |
0.4 |
smoking |
|
|
|
0 |
— |
— |
|
1 |
2.06 |
1.08, 3.93 |
0.028 |
ppi |
|
|
|
0 |
— |
— |
|
1 |
0.91 |
0.51, 1.62 |
0.7 |
pemetrex |
|
|
|
0 |
— |
— |
|
1 |
0.86 |
0.26, 2.86 |
0.8 |
pre_PLT_45days |
0.99 |
0.99, 1.00 |
<0.001 |
tidycmprsk::crr(Surv(cmp_time_neutro_2,cmp_status_neutro_2) ~sarcopenia_smi+age+Male+eGFR_CRE+pre_ALB_45days+pre_ANEU_45days+paclitax+smoking+ppi+pemetrex,failcode=1,cencode=0, data = master) %>% tbl_regression(exp = TRUE)
## 1 cases omitted due to missing values
Characteristic |
HR |
95% CI |
p-value |
sarcopenia_smi |
|
|
|
0 |
— |
— |
|
1 |
1.14 |
0.79, 1.64 |
0.5 |
age |
1.01 |
0.99, 1.03 |
0.6 |
Male |
|
|
|
0 |
— |
— |
|
1 |
0.80 |
0.58, 1.10 |
0.2 |
eGFR_CRE |
0.99 |
0.98, 1.00 |
0.051 |
pre_ALB_45days |
0.70 |
0.50, 0.99 |
0.046 |
pre_ANEU_45days |
0.91 |
0.87, 0.96 |
<0.001 |
paclitax |
|
|
|
0 |
— |
— |
|
1 |
0.56 |
0.28, 1.13 |
0.11 |
smoking |
|
|
|
0 |
— |
— |
|
1 |
1.26 |
0.89, 1.77 |
0.2 |
ppi |
|
|
|
0 |
— |
— |
|
1 |
0.91 |
0.63, 1.30 |
0.6 |
pemetrex |
|
|
|
0 |
— |
— |
|
1 |
0.34 |
0.21, 0.57 |
<0.001 |
tidycmprsk::crr(Surv(cmp_time_aki_2,cmp_status_aki_2) ~ sarcopenia_smi+age+Male+eGFR_CRE+pre_ALB_45days+paclitax+smoking+ppi+pemetrex,failcde=1,cencode=0, data = master) %>% tbl_regression(exp = TRUE)
## 1 cases omitted due to missing values
Characteristic |
HR |
95% CI |
p-value |
sarcopenia_smi |
|
|
|
0 |
— |
— |
|
1 |
2.10 |
1.26, 3.50 |
0.004 |
age |
0.99 |
0.96, 1.02 |
0.4 |
Male |
|
|
|
0 |
— |
— |
|
1 |
0.33 |
0.20, 0.56 |
<0.001 |
eGFR_CRE |
0.98 |
0.97, 1.00 |
0.066 |
pre_ALB_45days |
0.48 |
0.28, 0.84 |
0.011 |
paclitax |
|
|
|
0 |
— |
— |
|
1 |
0.68 |
0.17, 2.75 |
0.6 |
smoking |
|
|
|
0 |
— |
— |
|
1 |
1.65 |
0.97, 2.79 |
0.065 |
ppi |
|
|
|
0 |
— |
— |
|
1 |
1.32 |
0.71, 2.47 |
0.4 |
pemetrex |
|
|
|
0 |
— |
— |
|
1 |
0.71 |
0.24, 2.09 |
0.5 |
#secondary analysis for side effect, cancer progression,grade3
AEs
tidycmprsk::crr(Surv(cmp_time_side_eff,cmp_status_side_eff) ~ sarcopenia_smi+ +age+Male+eGFR_CRE+pre_ALB_45days+paclitax+smoking+ppi+pemetrex,failcode=1,cencode=0, data = master) %>% tbl_regression(exp = TRUE)
## 1 cases omitted due to missing values
Characteristic |
HR |
95% CI |
p-value |
sarcopenia_smi |
|
|
|
0 |
— |
— |
|
1 |
1.07 |
0.68, 1.70 |
0.8 |
age |
1.00 |
0.97, 1.03 |
0.8 |
Male |
|
|
|
0 |
— |
— |
|
1 |
0.92 |
0.62, 1.37 |
0.7 |
eGFR_CRE |
0.98 |
0.97, 1.00 |
0.007 |
pre_ALB_45days |
0.51 |
0.33, 0.80 |
0.003 |
paclitax |
|
|
|
0 |
— |
— |
|
1 |
0.30 |
0.09, 1.02 |
0.053 |
smoking |
|
|
|
0 |
— |
— |
|
1 |
1.75 |
1.09, 2.81 |
0.020 |
ppi |
|
|
|
0 |
— |
— |
|
1 |
1.80 |
1.01, 3.19 |
0.045 |
pemetrex |
|
|
|
0 |
— |
— |
|
1 |
0.48 |
0.21, 1.07 |
0.072 |
tidycmprsk::crr(Surv(cmp_time_cancer_prog,cmp_status_cancer_prog) ~ sarcopenia_smi++age+Male+eGFR_CRE+pre_ALB_45days+paclitax+smoking+ppi+pemetrex,failcode=1,cencode=0, data = master) %>% tbl_regression(exp = TRUE)
## 1 cases omitted due to missing values
Characteristic |
HR |
95% CI |
p-value |
sarcopenia_smi |
|
|
|
0 |
— |
— |
|
1 |
1.22 |
0.82, 1.80 |
0.3 |
age |
0.99 |
0.97, 1.01 |
0.4 |
Male |
|
|
|
0 |
— |
— |
|
1 |
1.01 |
0.71, 1.45 |
>0.9 |
eGFR_CRE |
1.0 |
0.98, 1.01 |
0.4 |
pre_ALB_45days |
0.33 |
0.22, 0.49 |
<0.001 |
paclitax |
|
|
|
0 |
— |
— |
|
1 |
1.56 |
0.39, 6.24 |
0.5 |
smoking |
|
|
|
0 |
— |
— |
|
1 |
0.85 |
0.59, 1.23 |
0.4 |
ppi |
|
|
|
0 |
— |
— |
|
1 |
1.0 |
0.66, 1.51 |
>0.9 |
pemetrex |
|
|
|
0 |
— |
— |
|
1 |
1.70 |
0.52, 5.56 |
0.4 |
tidycmprsk::crr(Surv(cmp_time_anemia_3,cmp_status_anemia_3) ~ sarcopenia_smi+ +age+Male+eGFR_CRE+pre_ALB_45days+pre_HGB_45days+paclitax+smoking+ppi+pemetrex,failcode=1,cencode=0, data = master) %>% tbl_regression(exp = TRUE)
## 1 cases omitted due to missing values
Characteristic |
HR |
95% CI |
p-value |
sarcopenia_smi |
|
|
|
0 |
— |
— |
|
1 |
1.20 |
0.77, 1.87 |
0.4 |
age |
1.00 |
0.98, 1.03 |
0.8 |
Male |
|
|
|
0 |
— |
— |
|
1 |
0.80 |
0.53, 1.19 |
0.3 |
eGFR_CRE |
0.99 |
0.98, 1.00 |
0.11 |
pre_ALB_45days |
0.43 |
0.28, 0.68 |
<0.001 |
pre_HGB_45days |
0.61 |
0.52, 0.71 |
<0.001 |
paclitax |
|
|
|
0 |
— |
— |
|
1 |
2.00 |
0.40, 10.0 |
0.4 |
smoking |
|
|
|
0 |
— |
— |
|
1 |
1.61 |
1.00, 2.59 |
0.050 |
ppi |
|
|
|
0 |
— |
— |
|
1 |
1.05 |
0.62, 1.76 |
0.9 |
pemetrex |
|
|
|
0 |
— |
— |
|
1 |
1.73 |
0.41, 7.38 |
0.5 |
tidycmprsk::crr(Surv(cmp_time_throm_3,cmp_status_throm_3) ~ sarcopenia_smi+age+Male+eGFR_CRE+pre_ALB_45days+pre_PLT_45days+paclitax+smoking+ppi+pemetrex,failcode=1,cencode=0, data = master) %>% tbl_regression(exp = TRUE)
## 1 cases omitted due to missing values
Characteristic |
HR |
95% CI |
p-value |
sarcopenia_smi |
|
|
|
0 |
— |
— |
|
1 |
1.37 |
0.64, 2.95 |
0.4 |
age |
0.97 |
0.93, 1.02 |
0.2 |
Male |
|
|
|
0 |
— |
— |
|
1 |
0.80 |
0.39, 1.64 |
0.6 |
eGFR_CRE |
0.97 |
0.95, 1.0 |
0.017 |
pre_ALB_45days |
0.21 |
0.10, 0.47 |
<0.001 |
pre_PLT_45days |
1.00 |
0.99, 1.00 |
0.014 |
paclitax |
|
|
|
0 |
— |
— |
|
1 |
0.30 |
0.04, 2.61 |
0.3 |
smoking |
|
|
|
0 |
— |
— |
|
1 |
1.33 |
0.58, 3.03 |
0.5 |
ppi |
|
|
|
0 |
— |
— |
|
1 |
0.70 |
0.30, 1.62 |
0.4 |
pemetrex |
|
|
|
0 |
— |
— |
|
1 |
0.51 |
0.12, 2.25 |
0.4 |
tidycmprsk::crr(Surv(cmp_time_neutro_3,cmp_status_neutro_3) ~ sarcopenia_smi+age+Male+eGFR_CRE+pre_ALB_45days+pre_ANEU_45days+paclitax+smoking+ppi+pemetrex,failcode=1,cencode=0, data = master) %>% tbl_regression(exp = TRUE)
## 1 cases omitted due to missing values
Characteristic |
HR |
95% CI |
p-value |
sarcopenia_smi |
|
|
|
0 |
— |
— |
|
1 |
1.16 |
0.71, 1.89 |
0.6 |
age |
1.00 |
0.97, 1.03 |
0.9 |
Male |
|
|
|
0 |
— |
— |
|
1 |
0.75 |
0.48, 1.15 |
0.2 |
eGFR_CRE |
0.99 |
0.97, 1.00 |
0.093 |
pre_ALB_45days |
0.71 |
0.41, 1.23 |
0.2 |
pre_ANEU_45days |
0.93 |
0.87, 0.98 |
0.012 |
paclitax |
|
|
|
0 |
— |
— |
|
1 |
0.49 |
0.19, 1.24 |
0.13 |
smoking |
|
|
|
0 |
— |
— |
|
1 |
1.48 |
0.91, 2.39 |
0.11 |
ppi |
|
|
|
0 |
— |
— |
|
1 |
0.74 |
0.46, 1.22 |
0.2 |
pemetrex |
|
|
|
0 |
— |
— |
|
1 |
0.26 |
0.14, 0.49 |
<0.001 |
tidycmprsk::crr(Surv(cmp_time_aki_3,cmp_status_aki_3) ~ sarcopenia_smi+age+Male+eGFR_CRE+pre_ALB_45days+paclitax+smoking+ppi+pemetrex,failcode=1,cencode=0, data = master) %>% tbl_regression(exp = TRUE)
## 1 cases omitted due to missing values
Characteristic |
HR |
95% CI |
p-value |
sarcopenia_smi |
|
|
|
0 |
— |
— |
|
1 |
154 |
4.70, 5,063 |
0.005 |
age |
0.70 |
0.48, 1.04 |
0.079 |
Male |
|
|
|
0 |
— |
— |
|
1 |
0.26 |
0.04, 1.54 |
0.14 |
eGFR_CRE |
0.85 |
0.71, 1.01 |
0.070 |
pre_ALB_45days |
0.02 |
0.00, 1.72 |
0.086 |
paclitax |
|
|
|
0 |
— |
— |
|
1 |
7,856,098 |
85,728, 719,927,644 |
<0.001 |
smoking |
|
|
|
0 |
— |
— |
|
1 |
63.6 |
0.11, 37,752 |
0.2 |
ppi |
|
|
|
0 |
— |
— |
|
1 |
229,938 |
6,016, 8,789,036 |
<0.001 |
pemetrex |
|
|
|
0 |
— |
— |
|
1 |
3,229,195 |
44,197, 235,935,961 |
<0.001 |