Wan, Eric Yuk Fai, Mathur, Sukriti, Zhang, Ran, Lam, Athene Hoi Ying, Wang, Boyuan, Yan, Vincent Ka Chun, Chui, Celine Sze Ling, Li, Xue, Wong, Carlos King Ho, Lai, Francisco Tsz Tsun, Cheung, Ching Lung, Chan, Esther Wai Yin, Tan, Kathryn Choon Beng and Wong, Ian Chi Kei (2023). Long-term effects of coronavirus disease 2019 on diabetes complications and mortality in people with diabetes:Two cohorts in the UK and Hong Kong. Diabetes, Obesity and Metabolism, 25 (12), pp. 3807-3816.
Abstract
AIM: To evaluate the long-term associations between coronavirus disease 2019 (COVID-19) and diabetes complications and mortality, in patients with diabetes. MATERIALS AND METHODS: People with diabetes diagnosed with COVID-19 infection (exposed group), from 16 March 2020 to 31 May 2021 from the UK Biobank (UKB cohort; n = 2456), and from 1 April 2020 to 31 May 2022 from the electronic health records in Hong Kong (HK cohort; n = 80 546), were recruited. Each patient was randomly matched with participants with diabetes but without COVID-19 (unexposed group), based on age and sex (UKB, n = 41 801; HK, n = 391 849). Patients were followed for up to 18 months until 31 August 2021 for UKB, and up to 28 months until 15 August 2022 for HK. Characteristics between cohorts were further adjusted with Inverse Probability Treatment Weighting. Long-term association of COVID-19 with multi-organ disease complications and all-cause mortality after 21 days of diagnosis was evaluated by Cox regression. RESULTS: Compared with uninfected participants, patients with COVID-19 infection with diabetes were consistently associated with higher risks of cardiovascular diseases (coronary heart disease [CHD]: hazard ratio [HR] [UKB]: 1.6 [95% confidence interval {CI}: 1.0, 2.4], HR [HK]: 1.2 [95% CI: 1.0, 1.5]; and stroke: HR [UKB]: 2.0 [95% CI: 1.1, 3.6], HR [HK]: 1.5 [95% CI: 1.3, 1.8]), microvascular disease (end stage renal disease: HR [UKB]: 2.1 [95% CI: 1.1, 4.0], HR [HK]: 1.2 [95% CI: 1.1, 1.4]) and all-cause mortality (HR [UKB]: 4.6 [95% CI: 3.8, 5.5], HR [HK]: 2.6 [95% CI: 2.5, 2.8]), in both cohorts. CONCLUSIONS: COVID-19 infection is associated with long-term increased risks of diabetes complications (especially cardiovascular complications, and mortality) in people with diabetes. Monitoring for signs/symptoms of developing these long-term complications post-COVID-19 infection in the infected patient population of people with diabetes may be beneficial in minimizing their morbidity and mortality.
Publication DOI: | https://doi.org/10.1111/dom.15279 |
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Divisions: | College of Health & Life Sciences > Aston Pharmacy School College of Health & Life Sciences |
Funding Information: | This work was funded by the Collaborative Research Fund, University Grants Committee, The Government of the Hong Kong Special Adminis- trative Region (Ref. No. C7154-20GF); HMRF Research on COVID-19, a research grant from the Health Bureau, the Government |
Additional Information: | This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. © 2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd. |
Uncontrolled Keywords: | Humans,COVID-19/complications,Hong Kong/epidemiology,Diabetes Complications/epidemiology,Proportional Hazards Models,United Kingdom/epidemiology,Diabetes Mellitus/epidemiology |
Publication ISSN: | 1463-1326 |
Last Modified: | 11 Nov 2024 18:45 |
Date Deposited: | 08 Jul 2024 12:34 |
Full Text Link: | |
Related URLs: |
https://dom-pub ... .1111/dom.15279
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2023-12-01 |
Published Online Date: | 2023-09-21 |
Accepted Date: | 2023-08-28 |
Authors: |
Wan, Eric Yuk Fai
Mathur, Sukriti Zhang, Ran Lam, Athene Hoi Ying Wang, Boyuan Yan, Vincent Ka Chun Chui, Celine Sze Ling Li, Xue Wong, Carlos King Ho Lai, Francisco Tsz Tsun Cheung, Ching Lung Chan, Esther Wai Yin Tan, Kathryn Choon Beng Wong, Ian Chi Kei ( 0000-0001-8242-0014) |
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