Charlson comorbidity index and a composite of poor outcomes in COVID-19 patients: A systematic review and meta-analysis
The ongoing COVID-19 pandemic is disproportionately affecting patients with comorbidities. Therefore, thorough comorbidities assessment can help establish risk stratification of patients with COVID-19, upon hospital admission. Charlson Comorbidity Index (CCI) is a validated, simple, and readily appl...
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Published in: | Diabetes & metabolic syndrome clinical research & reviews Vol. 14; no. 6; pp. 2103 - 2109 |
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Main Authors: | , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Netherlands
Elsevier Ltd
01-11-2020
Diabetes India. Published by Elsevier Ltd |
Subjects: | |
Online Access: | Get full text |
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Summary: | The ongoing COVID-19 pandemic is disproportionately affecting patients with comorbidities. Therefore, thorough comorbidities assessment can help establish risk stratification of patients with COVID-19, upon hospital admission. Charlson Comorbidity Index (CCI) is a validated, simple, and readily applicable method of estimating the risk of death from comorbid disease and has been widely used as a predictor of long-term prognosis and survival.
We performed a systematic review and meta-analysis of CCI score and a composite of poor outcomes through several databases.
Compared to a CCI score of 0, a CCI score of 1–2 and CCI score of ≥3 was prognostically associated with mortality and associated with a composite of poor outcomes. Per point increase of CCI score also increased mortality risk by 16%. Moreover, a higher mean CCI score also significantly associated with mortality and disease severity.
CCI score should be utilized for risk stratifications of hospitalized COVID-19 patients.
•The ongoing COVID-19 pandemic is disproportionately affecting patients with comorbidities.•Charlson Comorbidity Index (CCI) has been widely used as a predictor of long-term prognosis and survival.•Higher and per point increase of CCI Score is associated with poor outcomes.•CCI score should be utilized for risk stratifications of hospitalized COVID-19 patients. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 |
ISSN: | 1871-4021 1878-0334 1878-0334 |
DOI: | 10.1016/j.dsx.2020.10.022 |