{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["26(1)"],"submitter":["Chen Y"],"pubmed_abstract":["<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 as"],"journal":["BMC nephrology"],"pagination":["655"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12632052"],"repository":["biostudies-literature"],"pubmed_title":["Total bilirubin as a mortality predictor in non-elderly hemodialysis patients: a multicenter retrospective cohort study."],"pmcid":["PMC12632052"],"pubmed_authors":["Liu H","Yang H","Dong W","Li J","Zhang J","Lu X","Yu P","Zhang H","Liu Q","Li Q","Zhou X","Su H","Song J","Dai X","Zhu L","Zhang Y","Tao X","Shi A","Cheng L","Chen Y"],"additional_accession":[]},"is_claimable":false,"name":"Total bilirubin as a mortality predictor in non-elderly hemodialysis patients: a multicenter retrospective cohort study.","description":"<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 as","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Nov","modification":"2026-06-06T03:07:39.663Z","creation":"2026-06-06T03:06:22.464Z"},"accession":"S-EPMC12632052","cross_references":{"pubmed":["41267010"],"doi":["10.1186/s12882-025-04621-2"]}}