Evidence map›Paper›PMID 34531225›Full record

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.

José L Peñalvo, Els Genbrugge, Elly Mertens, Diana Sagastume, Marianne A B van der Sande, Marc-Alain Widdowson, Dominique Van Beckhoven, Belgian Collaborative Group on COVID-19 Hospital Surveillance

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

José L PeñalvoUnit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium jpenalvo@itg.be.ORCID 0000-0003-0096-6238
Els GenbruggeUnit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium.
Elly MertensUnit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium.ORCID 0000-0003-4957-4235
Diana SagastumeUnit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium.
Marianne A B van der SandeDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Marc-Alain WiddowsonInstitute of Tropical Medicine, Antwerp, Belgium.
Dominique Van BeckhovenDepartment of Epidemiology and Public Health, Sciensano, Brussels, Belgium.ORCID 0000-0003-0821-2756
Belgian Collaborative Group on COVID-19 Hospital Surveillance

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19HypertensionAgedAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsBelgiumHospital MortalityHospitalsHumansMaleSARS-CoV-2Angiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsCOVID-19hypertensionstatistics & research methods

Identifiers

PMID34531225
PMCPMC8449849

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.