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EPH117 Coinfections in COVID-19 Patients in India: A Systematic Review
Value in Health ; 25(12 Supplement):S213, 2022.
Article in English | EMBASE | ID: covidwho-2297718
ABSTRACT

Objectives:

To determine the rate of coinfections and its subsequent impact on hospitalization and mortality rate in Indian COVID-19 patients. Method(s) A systematic literature search was performed on PubMed, Cochrane, WHO COVID-19 database, Google Scholar and assisted by MaiA tool at various steps. The studies were retrieved and included based on JBI's CoCoPop framework. Meta-analysis was not performed due to a limited number of studies and high heterogeneity. Descriptive statistics were summarized based on the retrieved coinfections data. The protocol was registered with PROSPERO - CRD42021275644. Result(s) A total of 2418 patients were included from eight studies. The prevalence of coinfections ranged from 4% - 46%. Pathogen-specific data showed highest prevalence of bacterial (57.3%), followed by parasitic (21.1.%), viral (14.6%), and fungal coinfections (6.9%). About 60% - 80% of the patients with coinfections required ICU admissions. Among coinfected COVID-19 patients, the average length of hospital stay was 13.67+/-3.51 days. The mortality rate of COVID-19 patients with coinfections ranged from 9%-65%. Conclusion(s) Bacterial coinfections have the highest prevalence among COVID-19 patients. A causal relationship between coinfections and mortality rate in COVID-19 patients remains unexplored. This brings up the need for comprehensive data recording practices and meticulous reporting. Further, large-scale epidemiologic studies are the need of the hour to determine the nationwide burden of coinfections in the COVID-19 pandemic.Copyright © 2022
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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Reviews / Systematic review/Meta Analysis Language: English Journal: Value in Health Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Reviews / Systematic review/Meta Analysis Language: English Journal: Value in Health Year: 2022 Document Type: Article