Aspirin and NSAID use and the risk of COVID-19
Drew, D. A.; Guo, C.-G.; Lee, K.; Nguyen, L.; Joshi, A. D.; Lo, C.-H.; Ma, W.; Mehta, R. S.; Kwon, S.; Astley, C. M.; Song, M.; Davies, R.; Capdevila, J.; Ni Lochlainn, M. M.; Sudre, C.; Graham, M. S.; Varsavsky, T.; Gomez, M. F.; Kennedy, B.; Fitipaldi, H.; Wolf, J.; Spector, T.; Ourselin, S.; Steves, C.; Chan, A. T.
Show abstract
Early reports raised concern that use of non-steroidal anti-inflammatory drugs (NSAIDs) may increase risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease (COVID-19). Users of the COVID Symptom Study smartphone application reported use of aspirin and other NSAIDs between March 24 and May 8, 2020. Users were queried daily about symptoms, COVID-19 testing, and healthcare seeking behavior. Cox proportional hazards regression was used to determine the risk of COVID-19 among according to aspirin or non-aspirin NSAID users. Among 2,736,091 individuals in the U.S., U.K., and Sweden, we documented 8,966 incident reports of a positive COVID-19 test over 60,817,043 person-days of follow-up. Compared to non-users and after stratifying by age, sex, country, day of study entry, and race/ethnicity, non-aspirin NSAID use was associated with a modest risk for testing COVID-19 positive (HR 1.23 [1.09, 1.32]), but no significant association was observed among aspirin users (HR 1.13 [0.92, 1.38]). After adjustment for lifestyle factors, comorbidities and baseline symptoms, any NSAID use was not associated with risk (HR 1.02 [0.94, 1.10]). Results were similar for those seeking healthcare for COVID-19 and were not substantially different according to lifestyle and sociodemographic factors or after accounting for propensity to receive testing. Our results do not support an association of NSAID use, including aspirin, with COVID-19 infection. Previous reports of a potential association may be due to higher rates of comorbidities or use of NSAIDs to treat symptoms associated with COVID-19. One Sentence SummaryNSAID use is not associated with COVID-19 risk.
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Effect of common maintenance drugs on the risk and severity of COVID-19 in elderly patients 94%
- Supporting Respiratory Epithelia and Lowering Inflammation to Effectively Treat Common Cold Symptoms: A Randomized Controlled Trial 92%
- Safety and effectiveness of RBD-specific polyclonal equine F(ab′)2 fragments for the treatment of hospitalized patients with severe Covid-19 disease: a retrospective cohort study 91%
Similar papers in this journal
- People exposed to proton pump inhibitors shortly preceding COVID-19 diagnosis are not at an increased risk of subsequent hospitalizations and mortality: a nation-wide matched cohort study 93%
- Statin treatment effectiveness and the SLCO1B1 *5 reduced function genotype: long-term outcomes in women and men 92%
- Antihypertensive Medications and COVID-19 Diagnosis and Mortality: Population-based Case-Control Analysis in the United Kingdom 92%
Similar papers in this journal
- Longitudinal effects of using and discontinuing CNS medications on cognitive functioning 91%
- Using quantitative bias analysis to adjust for misclassification of COVID-19 outcomes: An applied example of inhaled corticosteroids and COVID-19 outcomes 91%
- Benzodiazepine Initiation Effect on Mortality Among Medicare Beneficiaries Post Acute Ischemic Stroke 91%
Similar papers in this journal
- Systematic analysis of electronic health records identifies drugs reducing risk of COVID-19 hospitalization and severity 93%
- Associations of proton pump inhibitors with susceptibility to influenza, pneumonia, and COVID-19: Evidence from a large population based cohort study 93%
- The Impact of COVID-19 on Cancer Screening and Treatment in Older Adults: The Multiethnic Cohort Study 90%
Similar papers in this journal
- Identifying clusters of people with Multiple Long-Term Conditions using Large Language Models: a population-based study 89%
- Novel clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health 89%
- Monitoring the opioid epidemic via social media discussions 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.