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BMJ Open ; 14(5): e084649, 2024 May 15.
Article En | MEDLINE | ID: mdl-38749679

OBJECTIVES: The study aims to identify the outcome and the related factors of unvaccinated patients with end-stage kidney disease during the Omicron pandemic. DESIGN: A multicentre retrospective study of patients with end-stage kidney disease undergone maintenance haemodialysis (HD) in China. SETTING: 6 HD centres in China. PARTICIPANTS: A total of 654 HD patients who tested positive for SARS-CoV-2 were ultimately included in the study. OUTCOME MEASURES: The primary outcomes of interest were adverse outcomes, including hospitalisation due to COVID-19 and all-cause mortality. RESULTS: The average age of the patients was 57 years, with 33.6% of them being over 65 years. Among the patients, 57.5% were male. During the follow-up period, 158 patients (24.2%) experienced adverse outcomes, and 93 patients (14.2%) died. The majority of patients (88/158) developed adverse outcomes within 30 days, and most deaths (77/93) occurred within 1 month. An advanced multivariable Cox regression analysis identified that adverse outcomes were associated with various factors while all-cause mortality was related to advanced age, male gender, high levels of C reactive protein (CRP) and low levels of prealbumin. The Kaplan-Meier curves demonstrated significantly higher all-cause mortality rates in the older, male, high CRP and low prealbumin subgroups. CONCLUSIONS: Among unvaccinated HD patients with confirmed Omicron infections, various factors were found to be linked to adverse outcomes. Notably, age, sex, CRP and prealbumin had a substantial impact on the risk of all-cause mortality.


COVID-19 , Kidney Failure, Chronic , Renal Dialysis , SARS-CoV-2 , Humans , Male , COVID-19/mortality , COVID-19/epidemiology , COVID-19/complications , Female , Middle Aged , Retrospective Studies , Kidney Failure, Chronic/therapy , Kidney Failure, Chronic/epidemiology , Kidney Failure, Chronic/mortality , Kidney Failure, Chronic/complications , China/epidemiology , Risk Factors , Aged , Adult , Hospitalization/statistics & numerical data , Pandemics
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