Mortality prediction in hemodialysis patients using heart rate variability and skin sympathetic nerve activity.

ABSTRACT: Patients undergoing maintenance hemodialysis (HD) face a substantially elevated risk of all-cause mortality, yet robust tools for individualized risk stratification remain limited. This multicenter study developed a predictive model integrating dynamic autonomic nervous system (ANS) markers - heart rate variability (HRV) and skin sympathetic nerve activity (SKNA) - with clinical factors to assess mortality risk. We enrolled 198 HD patients from two Chinese centers between 2021 and 2023, recording HRV/SKNA parameters at baseline, 30 min, and 240 min into dialysis. Over a median follow-up of 34 months, the all-cause mortality rate was 17.7%. Ninety-one baseline features were included in the LASSO-regression model. The final multivariable logistic regression model incorporated six variables (

SUBMITTER: Fu X 

PROVIDER: S-EPMC12821348 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature