Continuous glucose monitoring (CGM) use in people living with diabetes on maintenance dialysis: a retrospective audit and observational cohort study

Abstract

Background and hypothesis: The evidence surrounding the long-term benefits of continuous glucose monitoring (CGM) use in people with diabetes on maintenance dialysis remains limited. We investigated the potential benefits of CGM use on long-term glycaemic outcomes in this cohort. Methods: A retrospective audit and observational cohort study was undertaken across all hospitals within University Hospitals Birmingham (UHB) NHS Foundation Trust, United Kingdom (UK). Clinical records of 55 adults with diabetes on maintenance dialysis using CGM were accessed. Trends in glycaemic outcomes including haemoglobin A1C (HbA1C), time in range (TIR), time above range (TAR), time below range (TBR), glucose variability, glucose management indicator (GMI), and hypoglycaemic episodes, were recorded for all subjects. Data was analysed using IBM SPSS Statistics (Version 30). Results: CGM utilisation was limited to 6.9% of people with diabetes on maintenance dialysis. The median duration on CGM was 26 months (IQR = 19,31). The median TIR remained suboptimal at 38%, with only 18.2% (n = 10/55) achieving the recommended target of 70% for the general diabetic population. The hyperglycaemic burden was significant, as reflected by a high median TAR (26% for TAR-very high > 13.9 mmol/L, 28% for TAR-high 10.1–13.9 mmol/L) and raised mean GMI of 68.76 mmol/mol. 67.3% (n = 37/55) of our dialysis cohort experienced at least one hypoglycaemic episode during the last 14-days of CGM use. Only 29.1% (n = 16/55) had their insulin regimen changed while using CGM. There was a small but non-significant reduction in HbA1C of 0.3 mol/mol [95% CI -5.58, 6.18; p = 0.919] following CGM utilisation. Conclusion: Our findings demonstrate high glucose burden and variability in people with diabetes maintained on dialysis. Large-scale real-world studies are needed to understand how to utilise CGM data to guide treatment adjustments and to establish the benefits of CGM-use on other long-term clinical outcomes in this cohort.

Publication DOI: https://doi.org/10.1186/s12882-026-04816-1
Divisions: College of Health & Life Sciences > School of Biosciences
College of Health & Life Sciences
Additional Information: Copyright © The Author(s) 2026. This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: Diabetes,Dialysis,Continuous glucose monitoring,Hypoglycaemia,Time in range
Publication ISSN: 1471-2369
Last Modified: 16 Mar 2026 08:21
Date Deposited: 13 Mar 2026 17:13
Full Text Link:
Related URLs: https://link.sp ... 882-026-04816-1 (Publisher URL)
PURE Output Type: Article
Published Date: 2026-02-27
Published Online Date: 2026-02-27
Accepted Date: 2026-02-04
Submitted Date: 2025-10-01
Authors: Chan, Chi Peng
Jagadesh, Gauri
Bellary, Srikanth (ORCID Profile 0000-0002-5924-5278)
Baharani, Jyoti

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