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The association of smoking status with SARS-CoV-2 infection, hospitalization and mortality from COVID-19: a living rapid evidence review with Bayesian meta-analyses (version 7).

作者信息

Simons David, Shahab Lion, Brown Jamie, Perski Olga

机构信息

Centre for Emerging, Endemic and Exotic Diseases, Royal Veterinary College, London, UK.

Department of Behavioural Science and Health, University College London, London, UK.

出版信息

Addiction. 2021 Jun;116(6):1319-1368. doi: 10.1111/add.15276. Epub 2020 Nov 17.


DOI:10.1111/add.15276
PMID:33007104
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7590402/
Abstract

AIMS: To estimate the association of smoking status with rates of (i) infection, (ii) hospitalization, (iii) disease severity and (iv) mortality from SARS-CoV-2/COVID-19 disease. DESIGN: Living rapid review of observational and experimental studies with random-effects hierarchical Bayesian meta-analyses. Published articles and pre-prints were identified via MEDLINE and medRxiv. SETTING: Community or hospital, no restrictions on location. PARTICIPANTS: Adults who received a SARS-CoV-2 test or a COVID-19 diagnosis. MEASUREMENTS: Outcomes were SARS-CoV-2 infection, hospitalization, disease severity and mortality stratified by smoking status. Study quality was assessed (i.e. 'good', 'fair' and 'poor'). FINDINGS: Version 7 (searches up to 25 August 2020) included 233 studies with 32 'good' and 'fair' quality studies included in meta-analyses. Fifty-seven studies (24.5%) reported current, former and never smoking status. Recorded smoking prevalence among people with COVID-19 was generally lower than national prevalence. Current compared with never smokers were at reduced risk of SARS-CoV-2 infection [relative risk (RR) = 0.74, 95% credible interval (CrI) = 0.58-0.93, τ = 0.41]. Data for former smokers were inconclusive (RR = 1.05, 95% CrI = 0.95-1.17, τ = 0.17), but favoured there being no important association (21% probability of RR ≥ 1.1). Former compared with never smokers were at somewhat increased risk of hospitalization (RR = 1.20, CrI = 1.03-1.44, τ = 0.17), greater disease severity (RR = 1.52, CrI = 1.13-2.07, τ = 0.29) and mortality (RR = 1.39, 95% CrI = 1.09-1.87, τ = 0.27). Data for current smokers were inconclusive (RR = 1.06, CrI = 0.82-1.35, τ = 0.27; RR = 1.25, CrI = 0.85-1.93, τ = 0.34; RR = 1.22, 95% CrI = 0.78-1.94, τ = 0.49, respectively), but favoured there being no important associations with hospitalization and mortality (35% and 70% probability of RR ≥ 1.1, respectively) and a small but important association with disease severity (79% probability of RR ≥ 1.1). CONCLUSIONS: Compared with never smokers, current smokers appear to be at reduced risk of SARS-CoV-2 infection, while former smokers appear to be at increased risk of hospitalization, increased disease severity and mortality from COVID-19. However, it is uncertain whether these associations are causal.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/2fcccd1a79d3/ADD-116-1319-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/c0c9ff8bc9c4/ADD-116-1319-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/82725c0b662c/ADD-116-1319-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/f1aad95f6708/ADD-116-1319-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/1525e6c0e6ed/ADD-116-1319-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/a679bb73b29a/ADD-116-1319-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/7f22e202a3f7/ADD-116-1319-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/7e8264befeb1/ADD-116-1319-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/dd4b22d537cd/ADD-116-1319-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/5d4447beaa4a/ADD-116-1319-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/e4ee63323fd1/ADD-116-1319-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/2fcccd1a79d3/ADD-116-1319-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/c0c9ff8bc9c4/ADD-116-1319-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/82725c0b662c/ADD-116-1319-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/f1aad95f6708/ADD-116-1319-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/1525e6c0e6ed/ADD-116-1319-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/a679bb73b29a/ADD-116-1319-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/7f22e202a3f7/ADD-116-1319-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/7e8264befeb1/ADD-116-1319-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/dd4b22d537cd/ADD-116-1319-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/5d4447beaa4a/ADD-116-1319-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b835/7590402/2fcccd1a79d3/ADD-116-1319-g011.jpg

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本文引用的文献

[1]
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[2]
Utility of the ROX Index in Predicting Intubation for Patients With COVID-19-Related Hypoxemic Respiratory Failure Receiving High-Flow Nasal Therapy: Retrospective Cohort Study.

JMIRx Med. 2021-8-27

[3]
Prolonged SARS-CoV-2 Viral Shedding in Patients with COVID-19 was Associated with Delayed Initiation of Arbidol Treatment and Consulting Doctor Later: A Retrospective Cohort Study.

Curr Med Sci. 2021-12

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Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data.

Front Artif Intell. 2021-8-13

[5]
Disparities in COVID-19 hospitalizations and mortality among black and Hispanic patients: cross-sectional analysis from the greater Houston metropolitan area.

BMC Public Health. 2021-7-6

[6]
Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements.

Comput Struct Biotechnol J. 2021

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Comparative incidence and outcomes of COVID-19 in kidney or kidney-pancreas transplant recipients versus kidney or kidney-pancreas waitlisted patients: A single-center study.

Clin Transplant. 2021-8

[8]
Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients.

PLoS One. 2021

[9]
Clinical features of 47 patients infected with COVID-19 admitted to a Regional Reference Center.

Rev Med Chil. 2020-11

[10]
COVID-19 serology in nephrology healthcare workers.

Wien Klin Wochenschr. 2021-9

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