Ontology highlight
ABSTRACT: Objectives
To investigate the impact of cannabis use on the infection and survival outcomes of COVID-19.Study design
Cross-sectional study based on the UK Biobank (UKB) dataset.Methods
We identified 13,099 individuals with cannabis smoking history in the UKB COVID-19 Serology Study. The Charlson-Quan Comorbidity Index was estimated using inpatient ICD-10 records. Multivariable logistic regression characterized features associated with COVID-19 infection. Cox models determined the hazard ratios (HR) for COVID-19-related survival.Results
Cannabis users were more likely to getting COVID-19 (odds ratio: 1.22, P = 0.001) but multivariable analysis showed that cannabis use was a protective factor of COVID-19 infection (adjusted odds ratio: 0.81, P = 0.001). Regular cannabis users, who smoked more than once per month, had a significantly poorer COVID-19-related survival, after adjusting for known risk factors including age, gender, smoking history, and comorbidity (adjusted hazard ratio: 2.81, P = 0.041).Conclusions
The frequency of cannabis use could be considered as a candidate predictor for mortality risk of COVID-19.
SUBMITTER: Huang D
PROVIDER: S-EPMC9012397 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Huang Da D Xu Roubing R Na Rong R
Frontiers in public health 20220401
<h4>Objectives</h4>To investigate the impact of cannabis use on the infection and survival outcomes of COVID-19.<h4>Study design</h4>Cross-sectional study based on the UK Biobank (UKB) dataset.<h4>Methods</h4>We identified 13,099 individuals with cannabis smoking history in the UKB COVID-19 Serology Study. The Charlson-Quan Comorbidity Index was estimated using inpatient ICD-10 records. Multivariable logistic regression characterized features associated with COVID-19 infection. Cox models determ ...[more]