Additional file 1 of Assessment of cardio-renal-hepatic function in patients with valvular heart disease: a multi-biomarker approach—the cardio-renal-hepatic score
Creators: name: Lv, Junxing
name: Zhang, Bin
name: Ye, Yunqing
name: Li, Zhe
name: Wang, Weiwei
name: Zhao, Qinghao
name: Liu, Qingrong
name: Zhao, Zhenyan
name: Zhang, Haitong
name: Wang, Bincheng
name: Yu, Zikai
name: Duan, Zhenya
name: Guo, Shuai
name: Zhao, Yanyan
name: Gao, Runlin
name: Xu, Haiyan
name: Wu, Yongjian
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: Additional file 1: Table S1. Comparison of predictive performance among hepatic biomarkers. Table S2. Number of missing values and corresponding dispositions in the China-VHD cohort (n = 6004). Table S3. Number of missing values and corresponding dispositions in China-DVD cohort (n = 3156). Table S4. Associations of NT-proBNP, creatinine, and albumin with mortality in patients with various VHD. Table S5. Multivariable analysis of NT-proBNP, creatinine, and albumin. Table S6. Predictive performance of the CRH score in derivation and validation cohorts. Table S7. Associated factors of cardio-renal-hepatic co-dysfunction in China-VHD cohort. Table S8. Incremental value of CRH score beyond the base model. Table S9. Comparison of the CRH score with hepatorenal function index. Table S10. Comparison of CRH score with NT-proBNP, creatinine, and albumin. Figure S1. Flowchart of the derivation cohort. Figure S2. Flowchart of the validation cohort. Figure S3. The CRH score in different types of VHD. Figure S4. Calibration curves of CRH score in derivation and validation cohorts. Figure S5. Calibration curves of CRH score in different types of VHD in the derivation cohort. Figure S6. Relationship between CRH score and echocardiographic parameters in TR and MVHD in the derivation cohort. Figure S7. Correlation matrix in the derivation cohort. Figure S8. Correlation matrices in different types of VHD. Figure S9. Relative importance of predictors of cardio-renal-hepatic co-dysfunction in derivation and validation cohorts. Figure S10. Relative importance of predictors of cardio-renal-hepatic co-dysfunction in different types of VHD in derivation cohort. Figure S11. Kaplan–Meier curves according to types of VHD in the derivation cohort. Figure S12. Survival benefit of VI beyond MT according to CRH score. Figure S13. Decision curve analysis in the derivation cohort. Figure S14. Decision curve analysis in different types of VHD. Figure S15. Relative importance of predictors by the proportion of explainable log-likelihood ratio χ2 statistics in the derivation cohort. Figure S16. Relative importance of predictors by the proportion of explainable log-likelihood ratio χ2 statistics in different types of VHD. Figure S17. Relative importance of predictors by best subset analysis in the derivation cohort. Figure S18. Relative importance of predictors by best subset analysis in different types of VHD. Figure S19. Variable importance estimated by random survival forest. Figure S20. Calibration curves of CRH score in different types of VHD in the validation cohort.