Prediabetes and COVID-19 severity, an underestimated risk factor: A systematic review and meta-analysis

Diabetes Metab Syndr. 2021 Nov-Dec;15(6):102307. doi: 10.1016/j.dsx.2021.102307. Epub 2021 Oct 9.

Abstract

Background and aims: The novel coronavirus disease 2019 (COVID-19) has rapidly spread through the whole globe. Since the beginning of the outbreak, some individuals were more likely to manifest more severe outcomes. Diabetic patients were of that sort; however, the severity of COVID-19 in prediabetic ones remained less identified. This study aimed to systematically review and conduct a meta-analysis of the previously published observational studies investigating the severity of COVID-19 in prediabetic patients.

Methods: Medline/PubMed, Scopus, EMBASE, Web of Science, Cochrane library, and google scholar databases were queried to identify relevant studies concerning prediabetes and serious COVID-19 outcomes. The Newcastle-Ottawa scale was used to assess the quality of the included studies. Odds ratio (OR) and 95% confidence interval (CI) were used to evaluate the likelihood of severe presentations in prediabetic patients.

Results: A total of 3027 patients were included in the meta-analysis. A random-effects model was used regarding the high heterogeneity (I2 = 55%). Prediabetes was significantly associated with adverse outcomes of COVID-19 with an OR of 2.58 (95%CI, 1.46-4.56).

Conclusion: Prediabetes could act as a risk factor for the severity of COVID-19. Early detection of prediabetic patients might be helpful to adopt preventive and protective strategies to improve the prognosis of the infected individuals.

Keywords: COVID-19; Meta-analysis; Prediabetes; Risk factor; Severity.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • COVID-19 / complications*
  • Humans
  • Prediabetic State / complications*