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Record W3109689326 · doi:10.1177/1074248420976279

Association of Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Blockers With Severity of COVID-19: A Multicenter, Prospective Study

2020· article· en· W3109689326 on OpenAlexaff
Hakeam A. Hakeam, Muhannad Alsemari, Zainab Al Duhailib, Leen Ghonem, Saad Alharbi, Eid Al Mutairy, Nader M. Bin Sheraim, Meshal Alsalhi, Ali Alhijji, Sara H. AlQahtani, Mohammed Khalid, Mazin Barry

Bibliographic record

VenueJournal of Cardiovascular Pharmacology and Therapeutics · 2020
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsMcMaster UniversityImpact
FundersCollege of Medicine, King Saud University
KeywordsMedicineMechanical ventilationInternal medicineProspective cohort studyAngiotensin-converting enzymeIntensive care unitLogistic regressionACE inhibitorBlood pressure

Abstract

fetched live from OpenAlex

Background: Speculations whether treatment with angiotensin-converting enzyme inhibitors (ACE-I) or angiotensin II receptor blockers (ARB) predisposes to severe coronavirus disease 2019 (COVID-19) or worsens its outcomes. This study assessed the association of ACE-I/ARB therapy with the development of severe COVID-19. Methods: This multi-center, prospective study enrolled patients hospitalized for COVID-19 and receiving one or more antihypertensive agents to manage either hypertension or cardiovascular disease. ACE-I/ARB therapy associations with severe COVID-19 on the day of hospitalization, intensive care unit (ICU) admission, mechanical ventilation and in-hospital death on follow-up were tested using a multivariate logistic regression model adjusted for age, obesity, and chronic illnesses. The composite outcome of mechanical ventilation and death was examined using the adjusted Cox multivariate regression model. Results: Of 338 enrolled patients, 245 (72.4%) were using ACE-I/ARB on the day of hospital admission, and 197 continued ACE-I/ARB therapy during hospitalization. Ninety-eight (29%) patients had a severe COVID-19, which was not significantly associated with the use of ACE-I/ARB (OR 1.17, 95% CI 0.66-2.09; P = .57). Prehospitalization ACE-I/ARB therapy was not associated with ICU admission, mechanical ventilation, or in-hospital death. Continuing ACE-I/ARB therapy during hospitalization was associated with decreased mortality (OR 0.22, 95% CI 0.073-0.67; P = .008). ACE-I/ARB use was not associated with developing the composite outcome of mechanical ventilation and in-hospital death (HR 0.95, 95% CI 0.51-1.78; P = .87) versus not using ACE-I/ARB. Conclusion: Patients with hypertension or cardiovascular diseases receiving ACE-I/ARB therapy are not at increased risk for severe COVID-19 on admission to the hospital. ICU admission, mechanical ventilation, and mortality are not associated with ACE-I/ARB therapy. Maintaining ACE-I/ARB therapy during hospitalization for COVID-19 lowers the likelihood of death. Clinical Trial Registration: ClinicalTrials.gov, NCT4357535.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.031
GPT teacher head0.359
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2020
Admission routes1
Has abstractyes

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