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Predictors of Mortality in Patients With Covid-19–A Systematic Review Publisher



Mehraeen E1 ; Karimi A2 ; Barzegary A3 ; Vahedi F2 ; Afsahi AM4 ; Dadras O5 ; Moradmandbadie B6 ; Seyed Alinaghi SA7 ; Jahanfar S8
Authors
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Authors Affiliations
  1. 1. Department of Health Information Technology, Khalkhal University of Medical Sciences, Khalkhal, Iran
  2. 2. School of medicine, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. School of medicine, Islamic Azad University, Tehran, Iran
  4. 4. Department of Radiology, School of Medicine, University of California, San Diego (UCSD), CA, United States
  5. 5. Department of Global Health and Socioepidemiology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
  6. 6. Black Dog Institute, University of New South Wales, Sydney, Australia
  7. 7. Iranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High Risk Behaviors, Tehran, University of Medical Sciences, Tehran, Iran
  8. 8. School of Public Health, Central Michigan University, Mount Pleasant, 48859, MI, United States

Source: European Journal of Integrative Medicine Published:2020


Abstract

Introduction: In the current COVID-19 pandemic, disease diagnosis is essential for optimal management and timely isolation of infected cases in order to prevent further spread. The aim of this study was to systematically review the assessment of risk and model the predictors of mortality in COVID-19 patients. Methods: A systematic search was conducted of PubMed, Scopus, Embase, Google Scholar, and Web of Science databases. Variables associated with hospital mortality using bivariate analysis were included as potential independent predictors associated with mortality at the p < 0.05 levels. Results: We included 114 studies accounting for 310,494 patients from various parts of the world. For the purpose of this analysis, we set a cutoff point of 10% for the mortality percentages. High mortality rates were defined as higher than 10% of confirmed positive cases and were given a score of two, while low mortality (<10%) was assigned the score of one. We then analyzed the associations between 72 variables and the observed mortality rates. These variables included a large range of related variables such as demographics, signs and symptoms and related morbidities, vital signs, laboratory findings, imaging studies, underlying diseases, and the status of countries' income, based on the United Nation's classifications. Conclusion: Findings suggest that older age, hypertension, and diabetes mellitus conferred a significant increased risk of mortality among patients with COVID-19. In the multivariate analysis, only diabetes mellitus demonstrated an independent relationship with increased mortality. Further studies are needed to ascertain the relationship between possible risk factors with COVID-19 mortality. © 2020 Elsevier GmbH
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