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Sarri G, Liu W, Zabotka L, Freitag A, Claire R, Wangge G, Elvidge J, Dawoud D, Bennett D, Wen X, Li X, Rentsch CT, Uddin MJ, Ali MS, Gokhale M, Déruaz-Luyet A, Moga DC, Guo JJ, Zullo AR, Patorno E, Lin KJ. Prognostic Factors of COVID-19: An Umbrella Review Endorsed by the International Society for Pharmacoepidemiology. Clin Pharmacol Ther 2023; 114:604-613. [PMID: 37342987 DOI: 10.1002/cpt.2977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 06/12/2023] [Indexed: 06/23/2023]
Abstract
During the coronavirus disease 2019 (COVID-19) pandemic, the urgency for updated evidence to inform public health and clinical care placed systematic literature reviews (SLRs) at the cornerstone of research. We aimed to summarize evidence on prognostic factors for COVID-19 outcomes through published SLRs and to critically assess quality elements in the findings' interpretation. An umbrella review was conducted via electronic databases from January 2020 to April 2022. All SLRs (and meta-analyses) in English were considered. Data screening and extraction were conducted by two independent reviewers. AMSTAR 2 tool was used to assess SLR quality. The study was registered with PROSPERO (CRD4202232576). Out of 4,564 publications, 171 SLRs were included of which 3 were umbrella reviews. Our primary analysis included 35 SLRs published in 2022, which incorporated studies since the beginning of the pandemic. Consistent findings showed that, for adults, older age, obesity, heart disease, diabetes, and cancer were more strongly predictive of risk of hospitalization, intensive care unit admission, and mortality due to COVID-19. Male sex was associated with higher risk of short-term adverse outcomes, but female sex was associated with higher risk of long COVID. For children, socioeconomic determinants that may unravel COVID-19 disparities were rarely reported. This review highlights key prognostic factors of COVID-19, which can help clinicians and health officers identify high-risk groups for optimal care. Findings can also help optimize confounding adjustment and patient phenotyping in comparative effectiveness research. A living SLR approach may facilitate dissemination of new findings. This paper is endorsed by the International Society for Pharmacoepidemiology.
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Affiliation(s)
| | - Wei Liu
- Office of Surveillance and Epidemiology, CDER, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Luke Zabotka
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Ravinder Claire
- National Institute for Health and Care Excellence, London, UK
| | | | - Jamie Elvidge
- National Institute for Health and Care Excellence, London, UK
| | - Dalia Dawoud
- National Institute for Health and Care Excellence, London, UK
- Cairo University, Cairo, Egypt
| | - Dimitri Bennett
- Takeda Development Center Americas, Inc., Cambridge, Massachusetts, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Xuerong Wen
- College of Pharmacy, University of Rhode Island, Kingston, Rhode Island, USA
| | - Xiaojuan Li
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Christopher T Rentsch
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Md Jamal Uddin
- Department of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh
- Department of General Educational Development (GED), Daffodil International University, Dhaka, Bangladesh
| | - M Sanni Ali
- Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK
- Liverpool School of Tropical Medicine, Liverpool, UK
| | | | | | - Daniela C Moga
- Department of Pharmacy Practice and Science, College of Pharmacy, University of Kentucky, Lexington, Kentucky, USA
| | - Jeff Jianfei Guo
- Division of Pharmacy Practice & Administrative Sciences, College of Pharmacy, University of Cincinnati, Cincinnati, Ohio, USA
| | - Andrew R Zullo
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, USA
| | - Elisabetta Patorno
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Kueiyu Joshua Lin
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Choi HG, Kim JH, An YH, Park MW, Wee JH. Changes in the Mean and Variance of the Numbers of Medical Visits for Allergic Diseases before and during the COVID-19 Pandemic in Korea. J Clin Med 2022; 11:jcm11154266. [PMID: 35893358 PMCID: PMC9331054 DOI: 10.3390/jcm11154266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/21/2022] [Accepted: 07/21/2022] [Indexed: 11/16/2022] Open
Abstract
The implementation of precautionary measures, such as wearing a mask and social distancing, may have affected allergic diseases during the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to compare the numbers of medical visits for allergic diseases before and during the COVID-19 pandemic. Data were obtained from the Korean National Health Insurance claims database. Monthly numbers of patients for four allergic diseases, i.e., allergic rhinitis (AR), asthma, atopic dermatitis (AD), and allergic conjunctivitis (AC), were evaluated using ICD-10 codes and compared between the ‘before COVID-19’ period from January 2018 to February 2020, and the ‘during COVID-19’ period from March 2020 to June 2021, since the first COVID-19 patient was detected on 20 January 2020, in Korea. Subgroup analyses were performed according to age and sex. The mean numbers of medical visits for AR and asthma were significantly greater before COVID-19 than those during COVID-19 (both p < 0.001). The variance in the number of medical visits for asthma decreased during the COVID-19 pandemic. However, the mean number of medical visits for AD increased slightly during COVID-19 and that for AC did not change before and during the COVID-19 pandemic. In subgroup analyses, the results showed a similar pattern to that of the total number of participants, regardless of age and sex. In conclusion, medical visits for AR and asthma significantly decreased during the COVID-19 pandemic, regardless of age and sex.
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Affiliation(s)
- Hyo Geun Choi
- Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Korea;
- Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang 14068, Korea
| | - Joo-Hee Kim
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Korea;
| | - Yong-Hwi An
- Department of Otorhinolaryngology-Head & Neck Surgery, Nowon Eulji Medical Center, Eulji University College of Medicine, Seoul 01830, Korea;
| | - Min Woo Park
- Department of Otorhinolaryngology-Head & Neck Surgery, Kangdong Sacred Heart Hospital, Seoul 05355, Korea;
| | - Jee Hye Wee
- Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Korea;
- Correspondence: ; Tel.: +82-31-380-3849
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