Dynamic potassium variability (K-CV) as an independent predictor of mortality in maintenance hemodialysis
- Journal
- Renal failure (Q1)
- Published
- 6 September 2026
- Study design
- Retrospective cohort
- Evidence level
- Level 3, Low (CEBM 3b)
- Authors
- Yeping Ma, Xiaojing Liu, Xiaoqi Wang, Li Zhongxin
- PMID
- 42702576
- DOI
- 10.1080/0886022X.2026.2664912
Why clinicians should know about it
- Picked for Nephrology (paper of the day, 10 September 2026): Potassium variability predicts mortality in maintenance hemodialysis
Abstract
Serum potassium fluctuations are common but understudied in maintenance hemodialysis (MHD) patients. This retrospective cohort study investigated the association between serum potassium variability, measured by the coefficient of variation (K-CV), and all-cause mortality in 201 MHD patients. Patients were divided into low and high K-CV groups according to the median K-CV cutoff and followed for a median of 72 months. Multivariate Cox regression, adjusted for confounders, revealed that patients in the high K-CV group had a significantly increased mortality risk compared to the low K-CV group (adjusted HR = 1.537, 95% CI: 1.026-2.302, p = 0.037). When analyzed continuously, log(K-CV) showed a strong dose-response relationship with mortality (HR = 7.627, p = 0.010). Subgroup analyses indicated this association was particularly pronounced in patients with lower inflammation and better nutritional status. These findings demonstrate that K-CV, a marker of serum potassium variability, serves as an independent predictor of all-cause mortality in MHD patients. Its prognostic value supports the use of K-CV for risk stratification to identify high-risk patients requiring intensive monitoring and tailored potassium management strategies in dialysis care.
Abstract as published, via PubMed.
For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.