Evidence map›Paper›PMID 32998607›Full record

ArticleJournal of the American Heart Association2020

Renin-Angiotensin System Blockers and Adverse Outcomes of Influenza and Pneumonia: A Danish Cohort Study.

Christian Fynbo Christiansen, Uffe Heide-Jørgensen, Thomas Bøjer Rasmussen, Jacob Bodilsen, Ole Schmeltz Søgaard, Michael Maeng, Simon Tilma Vistisen, Morten Schmidt, Anton Pottegård, Lars Christian Lund and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
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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

16 authors.

Christian Fynbo ChristiansenDepartment of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark.
Uffe Heide-JørgensenDepartment of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark.
Thomas Bøjer RasmussenDepartment of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark.
Jacob BodilsenDepartment of Infectious Diseases Aalborg University Hospital Aalborg Denmark.
Ole Schmeltz SøgaardDepartment of Infectious Diseases Aarhus University Hospital Aarhus Denmark.
Michael MaengDepartment of Cardiology Aarhus University Hospital Aarhus Denmark.
Simon Tilma VistisenDepartment of Intensive Care Aarhus University Hospital Aarhus Denmark.
Morten SchmidtDepartment of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark.
Anton PottegårdClinical Pharmacology and Pharmacy Department of Public Health University of Southern Denmark Odense Denmark.
Lars Christian LundClinical Pharmacology and Pharmacy Department of Public Health University of Southern Denmark Odense Denmark.
Mette ReilevClinical Pharmacology and Pharmacy Department of Public Health University of Southern Denmark Odense Denmark.
Jesper HallasClinical Pharmacology and Pharmacy Department of Public Health University of Southern Denmark Odense Denmark.
Nanna Borup JohansenDepartment of Medical Evaluation and Biostatistics Danish Medicines Agency Copenhagen Denmark.
Nikolai Constantin BrunDepartment of Medical Evaluation and Biostatistics Danish Medicines Agency Copenhagen Denmark.
Henrik Toft SørensenDepartment of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark.
Reimar Wernich ThomsenDepartment of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Angiotensin-converting enzyme inhibitors (ACE-Is) and angiotensin receptor blockers (ARBs) may worsen the prognosis of coronavirus disease 2019, but any association could be confounded by the cardiometabolic conditions indicating ACE-I/ARB use. We therefore examined the impact of ACE-Is/ARBs on respiratory tract infection outcomes. Methods and Results This cohort study included all adult patients hospitalized with influenza or pneumonia from 2005 to 2018 in Denmark using population-based medical databases. Thirty-day mortality and risk of admission to the intensive care unit in ACE-Is/ARBs users was compared with nonusers and with users of calcium channel blockers. We used propensity scores to handle confounding and computed propensity score-weighted risks, risk differences (RDs), and risk ratios (RRs). Of 568 019 patients hospitalized with influenza or pneumonia, 100 278 were ACE-I/ARB users and 37 961 were users of calcium channel blockers. In propensity score-weighted analyses, ACE-I/ARB users had marginally lower 30-day mortality than users of calcium channel blockers (13.9% versus 14.5%; RD, -0.6%; 95% CI, -1.0 to -0.1; RR, 0.96; 95% CI, 0.93-0.99), and a lower risk of admission to the intensive care unit (8.0% versus 9.6%; RD, -1.6%; 95% CI, -2.0 to -1.2; RR, 0.83; 95% CI, 0.80-0.87). Compared with nonusers, current ACE-I/ARB users had lower mortality (RD, -2.4%; 95% CI, -2.8 to -2.0; RR, 0.85; 95% CI, 0.83-0.87), but similar risk of admission to the intensive care unit (RD, 0.4%; 95% CI, 0.0-0.7; RR, 1.04; 95% CI, 1.00-1.09). Conclusions Among patients with influenza or pneumonia, ACE-I/ARB users had no increased risk of admission to the intensive care unit and slightly reduced mortality after controlling for confounding.

Indexed as

BetacoronavirusAgedAged, 80 and overAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsCoronavirus InfectionsCOVID-19DenmarkFemaleFollow-Up StudiesHumansIncidenceInfluenza, HumanMaleOdds RatioPandemicsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor Antagonistsangiotensin‐converting enzyme inhibitorangiotensin receptor blockerscohort studyinfectious diseaseintensive care unit

Identifiers

PMID32998607
PMCPMC7792378

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LicenceCC BY-NC-ND
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Registered trials

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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.