Relton, S.D. orcid.org/0000-0003-0634-4587, Hewison, J. orcid.org/0000-0003-3026-3250, Rogers, Z. et al. (6 more authors) (2026) The electronic frailty index indicates mortality risk in end stage kidney disease patients on haemodialysis: retrospective survival analyses using linked data from two sources. Clinical Kidney Journal, 19 (1). sfaf355. ISSN: 2048-8505
Abstract
Background
Over the last 30 years, with increasing comorbidity and frailty among people with end-stage kidney disease, there is recognition that dialysis may carry little benefit in some patient groups. We examined the utility of the electronic frailty index (eFI), modelling the survival time of patients starting dialysis at a single renal unit in northern England, hypothesising this would give useful prognostic survival information.
Methods
Two datasets describing the same population of patients receiving dialysis over a 226-month period (2000–2019) at a single dialysis unit were used (n = 599 and 553 participants). One dataset was derived from primary care (linked to UK Renal Registry submissions) and the other from the UK Renal Registry (linked with primary care data to facilitate eFI calculation). Retrospective survival analysis was undertaken with hazard ratios for the impact of eFI and other covariates on survival.
Results
The frailty score at dialysis start has a strong effect on subsequent survival time using either the primary care–derived or UK Renal Registry dataset, but there were differences in overall survival and the relation between eFI score and survival between datasets.
Conclusions
This represents the first study of eFI utility within tertiary renal care, demonstrating a strong association between frailty measured by eFI and survival time for patients on dialysis. However, significant differences between primary care–derived and UK Renal Registry–derived survival at different frailty scores were demonstrated. These differences indicate a need for greater understanding and analysis of large datasets before using them to discuss patient treatment choices, service planning and delivery.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s) 2025. Published by Oxford University Press on behalf of the ERA. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site-for further information please contact journals.permissions@oup.com |
| Keywords: | dialysis; eFI; electronic frailty index; survival modelling |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) |
| Date Deposited: | 27 Apr 2026 15:34 |
| Last Modified: | 27 Apr 2026 15:34 |
| Published Version: | https://academic.oup.com/ckj/article/19/1/sfaf355/... |
| Status: | Published |
| Publisher: | Oxford University Press (OUP) |
| Identification Number: | 10.1093/ckj/sfaf355 |
| Related URLs: | |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:240459 |
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