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Metabolic risk factors and risk of Covid-19: A systematic review and meta-analysis.
Moazzami, Bahram; Chaichian, Shahla; Kasaeian, Amir; Djalalinia, Shirin; Akhlaghdoust, Meisam; Eslami, Masoud; Broumand, Behrooz.
  • Moazzami B; Pars Advanced and Minimally Invasive Medical Manners Research Center, Pars Hospital, Tehran, Iran.
  • Chaichian S; Pars Advanced and Minimally Invasive Medical Manners Research Center, Pars Hospital, Tehran, Iran.
  • Kasaeian A; Hematology, Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran.
  • Djalalinia S; Digestive Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Akhlaghdoust M; Development of Research and Technology Center, Deputy of Research and Technology, Ministry of Health and Medical Education, Tehran, Iran.
  • Eslami M; Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Broumand B; Pars Advanced and Minimally Invasive Medical Manners Research Center, Pars Hospital, Tehran, Iran.
PLoS One ; 15(12): e0243600, 2020.
Article in English | MEDLINE | ID: covidwho-977704
ABSTRACT

OBJECTIVE:

Based on the epidemiologic findings of Covid-19 incidence; illness and mortality seem to be associated with metabolic risk factors. This systematic review and meta-analysis aimed to assess the association of metabolic risk factors and risk of Covid-19.

METHODS:

This study was designed according to PRISMA guidelines. Two independent researchers searched for the relevant studies using PubMed, Web of Science, Cochrane Library, and Scopus. The search terms developed focusing on two main roots of "Covid-19" and "metabolic risk factors". All relevant observational, analytical studies, review articles, and a meta-analysis on the adult population were included in this meta-analysis. Meta-analysis was performed using the random effect model for pooling proportions to address heterogeneity among studies. Data were analyzed using STATA package version 11.2, (StataCorp, USA).

RESULTS:

Through a comprehensive systematic search in the targeted databases we found 1124 papers, after running the proses of refining, 13 studies were included in the present meta-analysis. The pooled prevalence of obesity in Covid-19 patients was 29% (95% CI 14-47%). For Diabetes and Hypertension, these were 22% (95% CI 12% 33%) and 32% (95% CI 12% 56%), respectively. There was significant heterogeneity in the estimates of the three pooled prevalence without any significant small-study effects. Such warning points, to some extent, guide physicians and clinicians to better understand the importance of controlling co-morbid risk factors in prioritizing resource allocation and interventions.

CONCLUSION:

The meta-analysis showed that hypertension is more prevalent than obesity and diabetes in patients with Covid-19 disease. The prevalence of co-morbid metabolic risk factors must be adopted for better management and priority settings of public health vaccination and other required interventions. The results may help to improve services delivery in COVID-19 patients, while helping to develop better policies for prevention and response to COVID-19 and its critical outcomes.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus / COVID-19 / Hypertension / Metabolism Type of study: Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Topics: Long Covid / Vaccines Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0243600

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus / COVID-19 / Hypertension / Metabolism Type of study: Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Topics: Long Covid / Vaccines Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0243600