Ontology highlight
ABSTRACT: Background
Frailty predicts poor outcomes in chronic kidney disease (CKD) patients. This study compared frailty's predictive power with other factors and aimed to develop a model for predicting overall survival (OS) in CKD patients.Methods
The study included 3,714 CKD participants from the National Health and Nutrition Examination Survey 2005-2018. The death data were updated to December 31, 2019. Lasso-Cox regression identified significant predictors among 42 factors, resulting in a prognostic nomogram using 11 key variables. Subsequent evaluation of the nomogram involved the C-index, the Areas Under Time-dependent Receiver Operating Characteristic Curves (AUC) and calibration curves.Results
Over a median follow-up of 5.92 years, 1,234 deaths occurred. The final pr
SUBMITTER: Li T
PROVIDER: S-EPMC12016280 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature