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- Title
Assessing risk factors and time to viral clearance on maintenance hemodialysis patients with COVID-19: a retrospective study.
- Authors
Zheng, Jin-Xin; Li, Xin; Xu, Li-Li; Hao, Xu; Qiao, Pan-Pan; Ding, Lin; Wang, Wei-Ming
- Abstract
Background: Patients on maintenance hemodialysis (MHD) have been disproportionately affected by COVID-19. Identifying factors associated with disease severity and viral clearance times can inform better clinical management for this high-risk group. Methods: We retrospectively analyzed clinical and hematological data from 85 COVID-19 positive MHD patients. Disease severity was classified as non-severe (mild/moderate) or severe (severe/critical). Logistic regression was used to evaluate factors associated with disease severity. The time to viral clearance was assessed and correlated with clinical variables. Results: Cardiovascular disease (OR=11.19, 95% CI 2.35–53.38), neutrophilia (OR=1.24, 95% CI 1.01–1.53), and elevated inflammatory markers (procalcitonin and white blood cell count) were independent predictors of severe COVID-19. A prognostic model incorporating these factors showed good discrimination for severity risk (AUC=0.835). The median time to viral clearance was 19 days. Delayed clearance was associated with higher levels of C-reactive protein, troponin, and N-terminal pro-B-type natriuretic peptide. Conclusions: We identified key prognostic factors for COVID-19 severity and characterized the time to viral clearance in MHD patients. These findings can aid in risk stratification and optimize management for this vulnerable population. Further research through multicenter collaborative studies is warranted to validate these results.
- Subjects
RISK assessment; LEUKOCYTE count; TROPONIN; RANDOM forest algorithms; RESEARCH funding; PREDICTION models; T-test (Statistics); RECEIVER operating characteristic curves; MULTIPLE regression analysis; NEUTROPHILS; BLOOD collection; FISHER exact test; SEVERITY of illness index; UREMIA; HEMODIALYSIS; RETROSPECTIVE studies; CARDIOVASCULAR diseases risk factors; CALCITONIN; PEPTIDE hormones; DESCRIPTIVE statistics; CHI-squared test; ODDS ratio; URBAN hospitals; ANALYSIS of variance; STATISTICS; CONFIDENCE intervals; INFLAMMATION; DATA analysis software; COMPARATIVE studies; COVID-19; TIME; BIOMARKERS; C-reactive protein; REGRESSION analysis
- Publication
Discover Public Health, 2024, Vol 21, Issue 1, p1
- ISSN
3005-0774
- Publication type
Article
- DOI
10.1186/s12982-024-00181-2