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Aims  Renin–angiotensin–aldosterone system inhibitors (RAASi) improve outcomes in cardiorenal disease but concerns have been raised over increased risk of incident hospitalization and death from coronavirus disease 2019 (COVID‐19). We investigated the association between use of angiotensin‐converting enzyme inhibitors (ACEi), angiotensin receptor blockers (ARBs) or mineralocorticoid receptor antagonists (MRAs) and COVID‐19 hospitalization/death in a large nationwide population.    Methods and results  Patients with hypertension, heart failure, diabetes, kidney disease, or ischaemic heart disease registered in the Swedish National Patient Registry until 1 February 2020 were included and followed until 31 May 2020. COVID‐19 cases were defined based on hospitalization/death for COVID‐19. Multivariable logistic and Cox regressions were fitted to investigate the association between ACEi/ARB and MRA and risk of hospitalization/death for COVID‐19 in the overall population, and of all‐cause mortality in COVID‐19 cases. We performed consistency analysis to quantify the impact of potential unmeasured confounding. Of 1 387 746 patients (60% receiving ACEi/ARB and 5.8% MRA), 7146 (0.51%) had incident hospitalization/death from COVID‐19. After adjustment for 45 variables, ACEi/ARB use was associated with a reduced risk of hospitalization/death for COVID‐19 (odds ratio 0.86, 95% confidence interval 0.81–0.91) in the overall population, and with reduced mortality in COVID‐19 cases (hazard ratio 0.89, 95% confidence interval 0.82–0.96). MRA use was not associated with risk of any outcome. Consistency analysis showed that unmeasured confounding would need to be large for there to be harmful signals associated with RAASi use.    Conclusions  In a 1.4 million nationwide cohort, use of RAASi was not associated with increased risk of hospitalization for or death from COVID‐19.

european journal of heart failure

Association between renin–angiotensin–aldosterone system inhibitor use and COVID‐19 hospitalization and death: a 1.4 million patient nationwide registry analysis