A Systematic Review and Meta-Analysis of Hospitalised Current Smokers and COVID-19

Int J Environ Res Public Health. 2020 Oct 11;17(20):7394. doi: 10.3390/ijerph17207394.

Abstract

SARS-CoV-2 is a new coronavirus that has caused a worldwide pandemic. It produces severe acute respiratory disease (COVID-19), which is fatal in many cases, characterised by the cytokine release syndrome (CRS). According to the World Health Organization, those who smoke are likely to be more vulnerable to infection. Here, in order to clarify the epidemiologic relationship between smoking and COVID-19, we present a systematic literature review until 28th April 2020 and a meta-analysis. We included 18 recent COVID-19 clinical and epidemiological studies based on smoking patient status from 720 initial studies in China, the USA, and Italy. The percentage of hospitalised current smokers was 7.7% (95% CI: 6.9-8.4) in China, 2.3% (95% CI: 1.7-2.9) in the USA and 7.6% (95% CI: 4.2-11.0) in Italy. These percentages were compared to the smoking prevalence of each country and statistically significant differences were found in them all (p < 0.0001). By means of the meta-analysis, we offer epidemiological evidence showing that smokers were statistically less likely to be hospitalised (OR = 0.18, 95% CI: 0.14-0.23, p < 0.01). In conclusion, the analysis of data from 18 studies shows a much lower percentage of hospitalised current smokers than expected. As more studies become available, this trend should be checked to obtain conclusive results and to explore, where appropriate, the underlying mechanism of the severe progression and adverse outcomes of COVID-19.

Keywords: COVID-19; SARS-CoV-2; cholinergic anti-inflammatory pathway; current smokers; cytokine release syndrome (CRS); nicotine.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • COVID-19
  • China / epidemiology
  • Coronavirus Infections / epidemiology
  • Coronavirus Infections / therapy*
  • Hospitalization / statistics & numerical data*
  • Humans
  • Italy / epidemiology
  • Pandemics
  • Pneumonia, Viral / epidemiology
  • Pneumonia, Viral / therapy*
  • Smokers / statistics & numerical data*
  • United States / epidemiology