Statins and SARS‐CoV‐2 Infection: Results of a Population‐Based Prospective Cohort Study of 469 749 Adults From 2 Canadian Provinces
Bibliographic record
Abstract
Background Small observational studies have suggested that statin users have a lower risk of dying with COVID‐19. We tested this hypothesis in a large, population‐based cohort of adults in 2 of Canada’s most populous provinces: Ontario and Alberta. Methods and Results We examined reverse transcriptase–polymerase chain reaction swab positivity rates for SARS‐CoV‐2 in adults using statins compared with nonusers. In patients with SARS‐CoV‐2 infection, we compared 30‐day risk of all‐cause emergency department visit, hospitalization, intensive care unit admission, or death in statin users versus nonusers, adjusting for baseline differences in demographics, clinical comorbidities, and prior health care use, as well as propensity for statin use. Between January and June 2020, 2.4% of 226 142 tested individuals aged 18 to 65 years, 2.7% of 88 387 people aged 66 to 75 years, and 4.1% of 154 950 people older than 75 years had a positive reverse transcriptase–polymerase chain reaction swab for SARS‐CoV‐2. Compared with 353 878 nonusers, the 115 871 statin users were more likely to test positive for SARS‐CoV‐2 (3.6% versus 2.8%, P <0.001), but this difference was not significant after adjustment for baseline differences and propensity for statin use in each age stratum (adjusted odds ratio 1.00 [95% CI, 0.88–1.14], 1.00 [0.91–1.09], and 1.06 [0.82–1.38], respectively). In individuals younger than 75 years with SARS‐CoV‐2 infection, statin users were more likely to visit an emergency department, be hospitalized, be admitted to the intensive care unit, or to die of any cause within 30 days of their positive swab result than nonusers, but none of these associations were significant after multivariable adjustment. In individuals older than 75 years with SARS‐CoV‐2, statin users were more likely to visit an emergency department (28.2% versus 17.9%, adjusted odds ratio 1.41 [1.23–1.61]) or be hospitalized (32.7% versus 21.9%, adjusted odds ratio 1.19 [1.05–1.36]), but were less likely to die (26.9% versus 31.3%, adjusted odds ratio 0.76 [0.67–0.86]) of any cause within 30 days of their positive swab result than nonusers. Conclusions Compared with statin nonusers, patients taking statins exhibit the same risk of testing positive for SARS‐CoV‐2 and those younger than 75 years exhibit similar outcomes within 30 days of a positive test. Patients older than 75 years with a positive SARS‐CoV‐2 test and who were taking statins had more emergency department visits and hospitalizations, but exhibited lower 30‐day all‐cause mortality risk.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".