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Original Article

코로나바이러스감염증-19 (COVID-19) 환자들의 사망관련 인자에 대한 연구 : 체계적 문헌고찰 및 메타분석

원문정보

Predictors of Mortality in Patients with COVID-19 : A Systematic Review and Meta-analysis

김우림, 한지민, 이경은

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초록

영어

Background: Most meta-analyses of risk factors for severe or critical outcomes in patients with COVID-19 only included studies conducted in China and this causes difficulties in generalization. Therefore, this study aimed to systematically evaluate the risk factors in patients with COVID-19 from various countries. Methods: PubMed, Embase, and Web of Science were searched for studies published on the mortality risk in patients with COVID-19 from January 1 to May 7, 2020. Pooled estimates were calculated as odds ratio (OR) with 95% confidence interval (CI) using the random-effects model. Results: We analyzed data from seven studies involving 26,542 patients in total in this systematic review and meta-analysis. Among the patients, 2,337 deaths were recorded (8.8%). Elderly patients and males showed significantly higher mortality rates than young patients and females; the OR values were 3.6 (95% CI 2.5-5.1) and 1.2 (95% CI 1.0-1.3), respectively. Among comorbidities, hypertension (OR 2.3, 95% CI 1.1-4.6), diabetes (OR 2.2, 95% CI 1.2-3.9), cardiovascular disease (OR 3.1, 95% CI 1.5-6.3), chronic obstructive pulmonary disease (OR 4.4, 95% CI 1.7-11.5), and chronic kidney disease (OR 4.2, 95% CI 2.0-8.6) were significantly associated with increased mortalities. Conclusion: This meta-analysis, involving a huge global sample, employed a systematic method for synthesizing quantitative results of studies on the risk factors for mortality in patients with COVID-19. It is helpful for clinicians to identify patients with poor prognosis and improve the allocation of health resources to patients who need them most.

목차

ABSTRACT
Material and Methods
Literature search strategy
Inclusion and exclusion criteria
Study selection, data extraction and quality assessment
Statistical analysis
Results
Identification and characteristics of the included studies
Quantitative data synthesis
Publication bias and sensitivity analysis
Discussion
Conclusion
Authors’ contributions
Conflict of Interest
References

저자정보

  • 김우림 Woorim Kim. 충북대학교 약학대학
  • 한지민 Ji Min Han. 충북대학교 약학대학
  • 이경은 Kyung Eun Lee. 충북대학교 약학대학

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