biostudies-literatureUnknown26(1)Chen Y<h4>Background</h4>The association between serum total bilirubin (TBIL) levels and mortality in maintenance hemodialysis (MHD) patients, especially when stratified by age, has not been clearly established.<h4>Methods</h4>We performed a multicenter retrospective analysis of 409 MHD patients (40 deaths, 9.8%) over a median follow-up of 31.3 months (interquartile range (IQR), 28.9-31.8). Cox regression models evaluated TBIL's predictive role for mortality. Receiver operating characteristic (ROC) curve-derived cutoff (8.79 µmol/L) stratified patients into high (H, TBIL > 8.79 µmol/L, n = 236) and low (L, TBIL ≤ 8.79 µmol/L, n = 173) groups. Multivariable Cox models adjusted for demographics, comorbidities (Model 2), and laboratory markers (Model 3). Additionally, to mitigate overfitting and asBMC nephrology655https://www.ebi.ac.uk/biostudies/studies/S-EPMC12632052biostudies-literatureTotal bilirubin as a mortality predictor in non-elderly hemodialysis patients: a multicenter retrospective cohort study.PMC12632052Liu HYang HDong WLi JZhang JLu XYu PZhang HLiu QLi QZhou XSu HSong JDai XZhu LZhang YTao XShi ACheng LChen YfalseTotal bilirubin as a mortality predictor in non-elderly hemodialysis patients: a multicenter retrospective cohort study.<h4>Background</h4>The association between serum total bilirubin (TBIL) levels and mortality in maintenance hemodialysis (MHD) patients, especially when stratified by age, has not been clearly established.<h4>Methods</h4>We performed a multicenter retrospective analysis of 409 MHD patients (40 deaths, 9.8%) over a median follow-up of 31.3 months (interquartile range (IQR), 28.9-31.8). Cox regression models evaluated TBIL's predictive role for mortality. Receiver operating characteristic (ROC) curve-derived cutoff (8.79 µmol/L) stratified patients into high (H, TBIL > 8.79 µmol/L, n = 236) and low (L, TBIL ≤ 8.79 µmol/L, n = 173) groups. Multivariable Cox models adjusted for demographics, comorbidities (Model 2), and laboratory markers (Model 3). Additionally, to mitigate overfitting and as2025-01-01T00:00:00Z2025 Nov2026-06-06T03:07:39.663Z2026-06-06T03:06:22.464ZS-EPMC126320524126701010.1186/s12882-025-04621-2