Article ; Online: Factors associated with mortality in patients with COVID-19 admitted to intensive care: a systematic review and meta-analysis.
2021 Volume 76, Issue 9, Page(s) 1224–1232
Abstract: Identification of high-risk patients admitted to intensive care with COVID-19 may inform management strategies. The objective of this meta-analysis was to determine factors associated with mortality among adults with COVID-19 admitted to intensive care ... ...
Abstract | Identification of high-risk patients admitted to intensive care with COVID-19 may inform management strategies. The objective of this meta-analysis was to determine factors associated with mortality among adults with COVID-19 admitted to intensive care by searching databases for studies published between 1 January 2020 and 6 December 2020. Observational studies of COVID-19 adults admitted to critical care were included. Studies of mixed cohorts and intensive care cohorts restricted to a specific patient sub-group were excluded. Dichotomous variables were reported with pooled OR and 95%CI, and continuous variables with pooled standardised mean difference (SMD) and 95%CI. Fifty-eight studies (44,305 patients) were included in the review. Increasing age (SMD 0.65, 95%CI 0.53-0.77); smoking (OR 1.40, 95%CI 1.03-1.90); hypertension (OR 1.54, 95%CI 1.29-1.85); diabetes (OR 1.41, 95%CI 1.22-1.63); cardiovascular disease (OR 1.91, 95%CI 1.52-2.38); respiratory disease (OR 1.75, 95%CI 1.33-2.31); renal disease (OR 2.39, 95%CI 1.68-3.40); and malignancy (OR 1.81, 95%CI 1.30-2.52) were associated with mortality. A higher sequential organ failure assessment score (SMD 0.86, 95%CI 0.63-1.10) and acute physiology and chronic health evaluation-2 score (SMD 0.89, 95%CI 0.65-1.13); a lower PaO |
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MeSH term(s) | Age Factors ; COVID-19/mortality ; Chronic Disease/mortality ; Comorbidity ; Critical Care ; Hospital Mortality ; Humans ; Intensive Care Units ; Organ Dysfunction Scores ; Risk Factors ; SARS-CoV-2 |
Language | English |
Publishing date | 2021-06-29 |
Publishing country | England |
Document type | Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't ; Systematic Review |
ZDB-ID | 80033-8 |
ISSN | 1365-2044 ; 0003-2409 |
ISSN (online) | 1365-2044 |
ISSN | 0003-2409 |
DOI | 10.1111/anae.15532 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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