Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Non-interventional study

Non-interventional study design

Other

Non-interventional study design, other

Case-population study
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(C03DA) Aldosterone antagonists
Aldosterone antagonists
(C09) AGENTS ACTING ON THE RENIN-ANGIOTENSIN SYSTEM
AGENTS ACTING ON THE RENIN-ANGIOTENSIN SYSTEM
(M01AA) Butylpyrazolidines
Butylpyrazolidines
(M01AB) Acetic acid derivatives and related substances
Acetic acid derivatives and related substances
(M01AC56) meloxicam, combinations
meloxicam, combinations
(M01AE01) ibuprofen
ibuprofen
(M01AE02) naproxen
naproxen
(M01AG) Fenamates
Fenamates
(M01AH) Coxibs
Coxibs
(M01AX) Other antiinflammatory and antirheumatic agents, non-steroids
Other antiinflammatory and antirheumatic agents, non-steroids

Medical condition to be studied

Coronavirus infection

Additional medical condition(s)

COVID-19
Population studied

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Estimated number of subjects

11000
Study design details

Main study objective

To assess the association of renin-angiotensin system (RAS) blockers and non-steroidal anti-inflammatory drugs (NSAIDs) with hospital admission due to COVID-19 infection adjusted for age, sex, and cardiovascular risk factors.

Outcomes

- Hospital admission due to COVID-19- Hospital admission to the intensive care unit (ICU) due to COVID-19- In-hospital death after admission due to COVID-19- Admission to ICU or in-hospital death (combined)

Data analysis plan

Main analysis:Crude odds ratios (ORs) and their 95% confidence intervals (CIs) will be computed through univariate conditional logistic regression to assess the association of current use of RAS blockers with the outcome of interest as compared to non-use and as compared to other antihypertensive drugs. After that, we built a multivariate model including the potential confounders (other comorbidities and comedications) all at once. Intermediate analyses: Intermediate analyses will be performed at different points along the study when the number of cases included are: 100, 500 and 750.Sensitivity analysis: Two sources of information from different years will be used (2020 for cases and 2018 for controls). To correct for a secular trend in the prevalence of antihypertensive drugs, we will estimate the prevalence for 2020 and we will obtain a correction factor to adjust the odds ratios for.