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Active smoking is not associated with severity of coronavirus disease 2019 (COVID-19)

Published:March 17, 2020DOI:https://doi.org/10.1016/j.ejim.2020.03.014

      Keywords

      In the ongoing coronavirus disease 2019 (COVID-19) pandemic, some unique clinical features have been described [
      • Mattiuzzi C.
      • Lippi G.
      Which lessons shall we learn from the 2019 novel coronavirus outbreak?.
      ]. In a report of 44,672 cases from China, a case fatality rate of 2.8% for males versus only 1.7% for females was observed [
      The Novel Coronavirus Pneumonia Emergency Response Epidemiology Team
      The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) — China.
      ]. It has been hypothesized that this may be due a higher prevalence of comorbidities among males, in particular the rate of smoking, which is reported to be 52.1% in men and 2.7% among women in China [
      • Parascandola M.
      • Xiao L.
      Tobacco and the lung cancer epidemic in China.
      ]. However, decreased levels of angiotensin converting enzyme 2 (ACE2), the reported host receptor of the virus responsible of COVID-19 (severe acute respiratory syndrome coronavirus 2; SARS-CoV-2), are observed in smokers [
      • Wan Y.
      • Shang J.
      • Graham R.
      • Baric R.S.
      • Li F
      Receptor recognition by novel coronavirus from wuhan: an analysis based on decade-long structural studies of sars.
      ,
      • Oakes J.M.
      • Fuchs R.M.
      • Gardner J.D.
      • Lazartigues E.
      • Yue X
      Nicotine and the renin-angiotensin system.
      ]. In this article, we aimed to investigate the association between active smoking and severity of COVID-19 illness.
      An electronic search was conducted in Medline (PubMed interface), Scopus and Web of Science, using the keywords “smoking” OR “cigarette” AND “coronavirus 2019” OR “COVID-19” OR “2019-nCoV” OR “SARS-CoV-2”, between 2019 and present time (i.e., March 9, 2020), without language restriction. The title, abstract and full text of all documents captured with these search criteria were scrutinized, and those reporting the rate of active smokers in COVID-19 patients with clinically validated definition of severe disease were included in this meta-analysis. The reference list of the identified studies was also analyzed (forward and backward citation tracking) for detecting other potentially eligible articles.
      A meta-analysis was then performed, with estimation of the odds ratio (OR) and its 95% confidence interval (95% CI) in patients with or without severe forms of COVID-19. The statistical analysis was carried out using MetaXL, software Version 5.3 (EpiGear International Pty Ltd., Sunrise Beach, Australia). The study was carried out in accordance with the declaration of Helsinki and with the term of local legislation.
      Overall, 27 documents could be initially identified based on our search criteria and from the reference lists, 22 of which were excluded after title, abstract or full text reading, since they were review articles (n=4), commentaries or other editorial materials (n=2), they did not deal with COVID-19 disease (n=11), or did not provided the rate of active smokers in patients with or without severe disease (n=5). Therefore, 5 studies could finally be included in our meta-analysis, totaling 1399 COVID-19 patients, 288 of whom (20.6%) with severe disease [
      • Guan W.J.
      • Ni Z.Y.
      • Hu Y.
      • Liang W.H.
      • Ou C.Q.
      • He J.X.
      • et al.
      Clinical characteristics of coronavirus disease 2019 in china.
      ,
      • Huang C.
      • Wang Y.
      • Li X.
      • Ren L.
      • Zhao J.
      • Hu Y.
      • et al.
      Clinical features of patients infected with 2019 novel coronavirus in wuhan.
      ,
      • Liu W.
      • Tao Z.-.W.
      • Lei W.
      • Ming-Li Y.
      • Kui L.
      • Ling Z.
      • et al.
      Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease.
      ,
      • Yang X.
      • Yu Y.
      • Xu J.
      • Shu H.
      • Xia J.
      • Liu H.
      • et al.
      Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in wuhan, China: a single-centered, retrospective, observational study.
      ,
      • Zhang J.J.
      • Dong X.
      • Cao Y.Y.
      • Yuan Y.D.
      • Yang Y.B.
      • Yan Y.Q.
      • et al.
      Clinical characteristics of 140 patients infected by SARS-CoV-2 in wuhan, China.
      ]. The essential characteristics of the five included studies are shown in Table 1, whilst the individual and pooled OR of smoking for predicting severe COVID-19 is shown in Fig. 1. Overall, in only one study [
      • Liu W.
      • Tao Z.-.W.
      • Lei W.
      • Ming-Li Y.
      • Kui L.
      • Ling Z.
      • et al.
      Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease.
      ] active smoking was found to be a significant predictor of COVID-19 severity, whilst in the other four studies the association was not statistically significant. Despite a trend towards higher risk was appreciable, no significant association could neither be found between active smoking and severity of COVID-19 when data of individual studies were pooled (OR, 1.69; 95% CI, 0.41–6.92; p=0.254). No significant association could also be found when the large study by Guan et al. (89.5% of all samples size) [
      • Guan W.J.
      • Ni Z.Y.
      • Hu Y.
      • Liang W.H.
      • Ou C.Q.
      • He J.X.
      • et al.
      Clinical characteristics of coronavirus disease 2019 in china.
      ] was excluded from statistical analysis (OR, 4.35; 95% 0.86–21.86; p=0.129; I2, 29%, p=0.24).
      Table 1Characteristics of the studies included.
      AuthorsSettingSample sizeOutcomeSevere patientsNon-severe patients
      n (%)Age (yrs)
      Median and interquartile range.
      Women (%)n (%)Age (yrs)
      Median and interquartile range.
      Women (%)
      Guan W et al., 2020China1085Admission
      to ICU, mechanical
      ventilation, death.172 (16%)52 (40–65)42%913 (84%)45 (34–57)42%
      Huang C et al., 2020China44ICU Care13 (30%)49 (41–61)15%31 (70%)49 (41–58)32%
      Liu W et al., 2020China78Admission
      to ICU, mechanical
      ventilation, death.11 (14%)66 (51–70)36%67 (86%)37 (32–41)52%
      Yang X et al., 2020China50Death32 (64%)65 (45–87)34%18 (36%)52 (26–77)30%
      Zhang JJ et al., 2020China142Respiratory distress/insufficiency60 (42%)64 (25–87)43%82 (58%)52 (26–78)54%
      low asterisk Median and interquartile range.
      Fig 1
      Fig. 1Odds ratio (OR) and 95% confidence interval (95% CI) of active smoking between coronavirus disease 2019 (COVID-19) patients with or without severe disease. .
      In conclusion, the results of this preliminary meta-analysis based on Chinese patients suggest that active smoking does not apparently seem to be signicantly associated with enhanced risk of progressing towards severe disease in COVID-19.

      Declaration of Competing Interest

      None

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