Evidence map›Paper›PMID 34217220›Full record

ArticleBMC cardiovascular disorders2021

Pre-existing cardiovascular disease rather than cardiovascular risk factors drives mortality in COVID-19.

Kevin O'Gallagher, Anthony Shek, Daniel M Bean, Rebecca Bendayan, Alexandros Papachristidis, James T H Teo, Richard J B Dobson, Ajay M Shah, Rosita Zakeri

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.9field-weighted citation impact, top 6% of its field
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

15 citing papers in PubMed, 35 citations in OpenAlex.

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  11. The impact of chronic cardiovascular disease on COVID-19 clinical course.Journal of clinical and translational research · 2022
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  15. The Impact of Prior Antithrombotic use on Thromboembolic Events in Patients with Cardiovascular Disease and Severe COVID-19 Infection.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

9 authors at 2 institutions in 1 country.

Kevin O'Gallagher *Department of Cardiology, King's College London British Heart Foundation Centre of Research Excellence, School of Cardiovascular Medicine and Sciences, London, UK.
Anthony Shek *Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Daniel M BeanDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Rebecca BendayanDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Alexandros PapachristidisKing's College Hospital NHS Foundation Trust, London, UK.
James T H TeoKing's College Hospital NHS Foundation Trust, London, UK.
Richard J B DobsonDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Ajay M Shah *Department of Cardiology, King's College London British Heart Foundation Centre of Research Excellence, School of Cardiovascular Medicine and Sciences, London, UK. ajay.shah@kcl.ac.uk.
Rosita Zakeri *Department of Cardiology, King's College London British Heart Foundation Centre of Research Excellence, School of Cardiovascular Medicine and Sciences, London, UK. rosita.zakeri@kcl.ac.uk.ORCID 0000-0002-4225-3693
King's College London · GBKing's College Hospital NHS Foundation Trust · GB

Funding

British Heart Foundation CH/1999001/11735 and RE/18/2/34213Medical Research Council MC_PC_17214Medical Research Council MR/R016372/1Medical Research Council MR/S00310X/1
6 · The paper itself

Abstract

backgroundThe relative association between cardiovascular (CV) risk factors, such as diabetes and hypertension, established CV disease (CVD), and susceptibility to CV complications or mortality in COVID-19 remains unclear.

methodsWe conducted a cohort study of consecutive adults hospitalised for severe COVID-19 between 1st March and 30th June 2020. Pre-existing CVD, CV risk factors and associations with mortality and CV complications were ascertained.

resultsAmong 1721 patients (median age 71 years, 57% male), 349 (20.3%) had pre-existing CVD (CVD), 888 (51.6%) had CV risk factors without CVD (RF-CVD), 484 (28.1%) had neither. Patients with CVD were older with a higher burden of non-CV comorbidities. During follow-up, 438 (25.5%) patients died: 37% with CVD, 25.7% with RF-CVD and 16.5% with neither. CVD was independently associated with in-hospital mortality among patients < 70 years of age (adjusted HR 2.43 [95% CI 1.16-5.07]), but not in those ≥ 70 years (aHR 1.14 [95% CI 0.77-1.69]). RF-CVD were not independently associated with mortality in either age group (< 70 y aHR 1.21 [95% CI 0.72-2.01], ≥ 70 y aHR 1.07 [95% CI 0.76-1.52]). Most CV complications occurred in patients with CVD (66%) versus RF-CVD (17%) or neither (11%; p < 0.001). 213 [12.4%] patients developed venous thromboembolism (VTE). CVD was not an independent predictor of VTE.

conclusionsIn patients hospitalised with COVID-19, pre-existing established CVD appears to be a more important contributor to mortality than CV risk factors in the absence of CVD. CVD-related hazard may be mediated, in part, by new CV complications. Optimal care and vigilance for destabilised CVD are essential in this patient group. Trial registration n/a.

Indexed as

Cardiovascular DiseasesCOVID-19Hospital MortalityVenous ThromboembolismAgedAge FactorsCohort StudiesDiabetes MellitusFemaleHeart Disease Risk FactorsHumansHypertensionMaleMortalityOutcome and Process Assessment, Health CareRisk AssessmentCardiovascular diseaseCardiovascular risk factorsCOVID-19DiabetesHypertension

Identifiers

PMID34217220
PMCPMC8254437
OpenAlexW3179821634

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.