ArticleBMJ open2021
Insights into the association of ACEIs/ARBs use and COVID-19 prognosis: a multistate modelling study of nationwide hospital surveillance data from Belgium.
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- COVID-19 and the Use of Angiotensin II Receptor Blockers in Older Chronic Hypertensive Patients: Systematic Review and Meta-Analysis.Medicina (Kaunas, Lithuania) · 2023Pooled it
- Renin-Angiotensin Aldosterone System Inhibitors and COVID-19: A Systematic Review and Meta-Analysis Revealing Critical Bias Across a Body of Observational Research.Journal of the American Heart Association · 2022Pooled it
- Predicting COVID-19 progression in hospitalized patients in Kurdistan Province using a multi-state model.Journal of diabetes and metabolic disorders · 2025Article
- Losartan and enalapril maleate differently influence SARS-CoV-2-infected vero cells.Scientific reports · 2024Article
- Investigation of multiple nosocomial infections using a semi-Markov multi-state model.Antimicrobial resistance and infection control · 2024Article
- Predicting COVID-19 progression in hospitalized patients in Belgium from a multi-state model.Frontiers in medicine · 2022Article
- Global pattern of cardiovascular disease management in patients with cancer and impact of COVID-19 on drug selection: IRAQ-IC-OS survey-based study.Frontiers in cardiovascular medicine · 2022Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe widespread use of angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) by patients with chronic conditions raised early concerns on the potential exacerbation of COVID-19 severity and fatality. Previous studies addressing this question have used standard methods that may lead to biased estimates when analysing hospital data because of the presence of competing events and event-related dependency. We investigated the association of ACEIs/ARBs' use with COVID-19 disease outcomes using time-to-event data in a multistate setting to account for competing events and minimise bias.
settingNationwide surveillance data from 119 Belgian hospitals.
participantsMedical records of 10 866 patients hospitalised from 14 March 2020to 14 June 2020 with a confirmed SARS-CoV-19 infection and information about ACEIs/ARBs' use. PRIMARY OUTCOME MEASURE: Multistate, multivariate Cox-Markov models were used to estimate the hazards of patients transitioning through health states from admission to discharge or death, along with transition probabilities calculated by combining the baseline cumulative hazard and regression coefficients.
resultsAfter accounting for potential confounders, there was no discernable association between ACEIs/ARBs' use and transfer to intensive care unit (ICU). Contrastingly, for patients without ICU transfer, ACEIs/ARBs' use was associated with a modest increase in recovery (HR 1.07, 95% CI 1.01 to 1.13, p=0.027) and reduction in fatality (HR 0.83, 95% CI 0.75 to 0.93, p=0.001) transitions. For patients transferred to ICU admission, no evidence of an association between ACEIs/ARBs' use and recovery (HR 1.16, 95% CI 0.97 to 1.38, p=0.098) or in-hospital death (HR 0.91, 95% CI 0.73 to 1.12, p=0.381) was observed. Male gender and older age were significantly associated with higher risk of ICU admission or death. Chronic cardiometabolic comorbidities were also associated with less recovery.
conclusionsFor the first time, a multistate model was used to address magnitude and direction of the association of ACEIs/ARBs' use on COVID-19 progression. By minimising bias, this study provided a robust indication of a protective, although modest, association with recovery and survival.
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