Kular, D;
Chis Ster, I;
Sarnowski, A;
Lioudaki, E;
Braide-Azikiwe, DCB;
Ford, ML;
Makanjuola, D;
Rankin, A;
Cairns, H;
Popoola, J;
et al.
Kular, D; Chis Ster, I; Sarnowski, A; Lioudaki, E; Braide-Azikiwe, DCB; Ford, ML; Makanjuola, D; Rankin, A; Cairns, H; Popoola, J; Cole, N; Phanish, M; Hull, R; Swift, PA; Banerjee, D
(2020)
The characteristics, dynamics and risk of death in COVID-19 positive dialysis patients in London, UK.
Kidney360, 1 (11).
pp. 1226-1243.
ISSN 2641-7650
https://doi.org/10.34067/kid.0004502020
SGUL Authors: Chis Ster, Delizia Irina
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Abstract
Background: Dialysis patients, with frequent co-morbidities, advanced age and frailty, visiting treatment facilities frequently are perhaps more prone to SARS-Cov-2 infection and related death - the risk-factors and dynamics of which are unknown. The aim of this study was to investigate the hospital outcomes in SARS-CoV-2 infected dialysis patients. Methods: Data on 224 hemodialysis patients between 02/29/2020 and 05/15/2020 with confirmed SARS-CoV-2 were analyzed for outcomes and potential risk factors for death, using competing risk regression model assessed by sub-distribution hazards ratio (SHR). Results: Crude data analyses suggest an overall case fatality ratio of 22.7(95%CI(17.3-28.3)%) overall but that varies across age groups from 11.4(95%CI(0.9-9.2)) in <=50 years old and 32.2(95%CI(17.3-47.5)%) in >80 years; with 60% of deaths occurring in the first 15 days and 80% within 21 days indicating a rapid deterioration towards death after admission. Almost 90% of surviving patients were discharged within 28 days. Death was more likely than hospital discharge in more frail (WHO performance status 3-4) [SHR=2.16(1.25-3.74);p=0.006)], ischemic heart disease [SHR=2.28(1.32-3.94),p=0.003], cerebrovascular disease [SHR=2.11(1.20-3.72),p=0.010], smoking history [SHR=2.69(1.33-5.45),p=0.006], and (completely or partially) hospitalized patients [SHR=10.26.(3.10-33.94),p<.001]; and in patients with high CRP [SHR=1.35(1.10-1.67)] and high neutrophil:lymphocyte ratio [SHR=1.03(1.01-1.04),p<0.001]. Our data did not support differences in the risk of death associated with gender, ethnicity, dialysis vintage or other comorbidities. However, comparison with the entire dialysis population attending these hospitals, and 12.9% being affected, revealed that non-Caucasians (62% vs. 52% in all patients, p=0.001) and diabetic patients (54% vs. 22%, p<0.001) were disproportionately affected. Conclusion: This report discusses the outcomes of a large cohort of dialysis patients with SARS-CoV-2, infection affecting more diabetics and non-Caucasians; with a high case fatality ratio, which increased significantly with age, frailty, smoking, increasing CRP and neutrophil:lymphocyte ratio at presentation.
Item Type: |
Article
|
Additional Information: |
Copyright © 2020 American Society of Nephrology
Kular, D; Chis Ster, I; Sarnowski, A; Lioudaki, E; Braide-Azikiwe, DCB; Ford, ML; Makanjuola, D; Rankin, A; Cairns, H; Popoola, J; et al. (2020) The characteristics, dynamics and risk of death in COVID-19 positive dialysis patients in London, UK. Kidney360, 1 (11). pp. 1226-1243.
https://doi.org/10.34067/kid.0004502020 |
SGUL Research Institute / Research Centre: |
Academic Structure > Infection and Immunity Research Institute (INII) |
Journal or Publication Title: |
Kidney360 |
ISSN: |
2641-7650 |
Language: |
en |
Dates: |
Date | Event |
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25 November 2020 | Published | 10 September 2020 | Published Online | 8 September 2020 | Accepted |
|
Publisher License: |
Publisher's own licence |
URI: |
https://openaccess.sgul.ac.uk/id/eprint/112387 |
Publisher's version: |
https://doi.org/10.34067/kid.0004502020 |
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