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Showing content from https://pubmed.ncbi.nlm.nih.gov/27352628/ below:

Prevalence of comorbidities in the Middle East respiratory syndrome coronavirus (MERS-CoV): a systematic review and meta-analysis

Review

Affiliations

• ¹ Public Health Risk Science Division, Public Health Agency of Canada, 180 Queen Street West, Toronto, ON M5V 3L7, Canada. Electronic address: alaa.badawi@phac-aspc.gc.ca.
• ² Faculty of Arts and Science, University of Toronto, Toronto, ON, Canada.

• PMID: 27352628
• PMCID: PMC7110556
• DOI: 10.1016/j.ijid.2016.06.015

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Review

Alaa Badawi et al. Int J Infect Dis. 2016 Aug.

• ¹ Public Health Risk Science Division, Public Health Agency of Canada, 180 Queen Street West, Toronto, ON M5V 3L7, Canada. Electronic address: alaa.badawi@phac-aspc.gc.ca.
• ² Faculty of Arts and Science, University of Toronto, Toronto, ON, Canada.

• PMID: 27352628
• PMCID: PMC7110556
• DOI: 10.1016/j.ijid.2016.06.015

Item in Clipboard

The Middle East respiratory syndrome coronavirus (MERS-CoV) is associated with life-threatening severe illnesses and a mortality rate of approximately 35%, particularly in patients with underlying comorbidities. A systematic analysis of 637 MERS-CoV cases suggests that diabetes and hypertension are equally prevalent in approximately 50% of the patients. Cardiac diseases are present in 30% and obesity in 16% of the cases. These conditions down-regulate the synthesis of proinflammatory cytokines and impair the host's innate and humoral immune systems. In conclusion, protection against MERS-CoV and other respiratory infections can be improved if public health vaccination strategies are tailored to target persons with chronic disorders.

Keywords: Cardiovascular diseases; Diabetes mellitus; Middle East respiratory syndrome coronavirus (MERS-CoV); Obesity; Systematic review.

Crown Copyright © 2016. Published by Elsevier Ltd. All rights reserved.

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Systematic literature review process. The…

Systematic literature review process. The flow diagram describes the systematic review of the…

Systematic literature review process. The flow diagram describes the systematic review of the literature for the proportion of comorbidities in MERS-CoV.

Meta-analysis of the proportion of…

Meta-analysis of the proportion of comorbidities in MERS-CoV cases. Weights were calculated from…

Meta-analysis of the proportion of comorbidities in MERS-CoV cases. Weights were calculated from binary random-effects model analysis. Values represent proportions of diabetes (a), hypertension (b), coronary artery disease/cardiovascular disease (CAD/CVD) (c), and obesity (d) in severe MERS-CoV cases and the 95% confidence intervals. Inserts within each panel show the total number of subjects analyzed (n) and prevalence (±SE) of the comorbidity (%), together with the heterogeneity analysis carried out using the Q test and the among-studies variation (I² index).

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