Self-reported health change in haemodialysis recipients modulates the effect of frailty upon mortality and hospital admissions: outcomes from a large prospective UK cohort

Benjamin M Anderson, Muhammad Qasim, Gonzalo Correa, Felicity Evison, Suzy Gallier, Charles J Ferro, Thomas A Jackson, Adnan Sharif*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: Frailty among haemodialysis patients is associated with hospitalisation and mortality, but high frailty prevalence suggests further discrimination of risk is required. We hypothesised that incorporation of self-reported health with frailty measurement may aid risk stratification.

METHODS: Prospective cohort study of 485 prevalent haemodialysis recipients linked to English national datasets. Frailty Phenotype (FP), Frailty Index (FI), Edmonton Frail Scale (EFS), Clinical Frailty Scale (CFS) and self-reported health change were assessed. Mortality was explored using Fine and Gray regression, and admissions by negative binomial regression.

RESULTS: Over a median 678 (IQR: 531-812) days, there were 111 deaths, and 1241 hospitalisations. Increasing frailty was associated with mortality on adjusted analyses for FP (SHR 1.26, 95% C.I. 1.05-1.53, P = 0.01), FI (SHR 1.21, 95% C.I. 1.09-1.35, P = 0.001), and CFS (SHR 1.32, 95% C.I. 1.11-1.58, P = 0.002), but not EFS (HR 1.08, 95% C.I. 0.99-1.18, P = 0.1). Health change interacted with frailty tools to modify association with mortality; only those who rated their health as the same or worse experienced increased mortality hazard associated with frailty by FP (Pinteraction = 0.001 and 0.035 respectively), FI (Pinteraction = 0.002 and 0.007 respectively), and CFS (Pinteraction = 0.009 and 0.02 respectively). CFS was the only frailty tool associated with hospitalisation (incidence rate ratio 1.12, 95% CI 1.02-1.23, P = 0.02).

CONCLUSIONS: We confirm the high burden of hospitalisation and mortality associated with haemodialysis patients regardless of frailty tool utilised and introduce the discriminatory ability of self-reported health to identify the most at-risk frail individuals.

Original languageEnglish
Article numbergfac287
JournalNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
Early online date16 Oct 2022
DOIs
Publication statusE-pub ahead of print - 16 Oct 2022

Bibliographical note

© The Author(s) 2022. Published by Oxford University Press on behalf of the ERA.

Keywords

  • epidemiology
  • frailty
  • haemodialysis
  • hospitalization
  • survival analysis

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