Evidence map›Paper›PMID 33462815›Full record

Observational studyJournal of internal medicine2021

Outcomes of COVID-19-positive acute coronary syndrome patients: A multisource electronic healthcare records study from England.

Muhammad Rashid, Jianhua Wu, Adam Timmis, Nick Curzen, Sarah Clarke, Azfar Zaman, James Nolan, Ahmad Shoaib, Mohamed O Mohamed, Mark A de Belder and 3 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  20. Multi-City Analysis of the Acute Effect of Polish Smog on Cause-Specific Mortality (EP-PARTICLES Study).International journal of environmental research and public health · 2023
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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

13 authors.

Muhammad RashidFrom the, Keele Cardiovascular Research Group, Institute for Prognosis Research, School of Primary Care, Keele University, Keele, UK.ORCID 0000-0001-9725-1583
Jianhua WuLeeds Institute for Data Analytics, University of Leeds, Leeds, UK.
Adam TimmisQueen Mary University London, London, UK.
Nick CurzenCoronary Research Group, Faculty of Medicine, University Hospital Southampton, University of Southampton, Southampton, UK.
Sarah ClarkeDepartment of Cardiology, Royal Papworth Hospital, Cambridge, UK.
Azfar ZamanDepartment of Cardiology, Freemen Hospital, Newcastle Upon Tyne, UK.
James NolanFrom the, Keele Cardiovascular Research Group, Institute for Prognosis Research, School of Primary Care, Keele University, Keele, UK.
Ahmad ShoaibFrom the, Keele Cardiovascular Research Group, Institute for Prognosis Research, School of Primary Care, Keele University, Keele, UK.
Mohamed O MohamedFrom the, Keele Cardiovascular Research Group, Institute for Prognosis Research, School of Primary Care, Keele University, Keele, UK.
Mark A de BelderNational Institute for Cardiovascular Outcomes Research, Barts Health NHS Trust, London, UK.
John DeanfieldInstitute of Cardiovascular Sciences, University College London, London, UK.
Chris P GaleLeeds Institute for Data Analytics, University of Leeds, Leeds, UK.
Mamas A MamasFrom the, Keele Cardiovascular Research Group, Institute for Prognosis Research, School of Primary Care, Keele University, Keele, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with underlying cardiovascular disease and coronavirus disease 2019 (COVID-19) infection are at increased risk of morbidity and mortality.

objectivesThis study was designed to characterize the presenting profile and outcomes of patients hospitalized with acute coronary syndrome (ACS) and COVID-19 infection.

methodsThis observational cohort study was conducted using multisource data from all acute NHS hospitals in England. All consecutive patients hospitalized with diagnosis of ACS with or without COVID-19 infection between 1 March and 31 May 2020 were included. The primary outcome was in-hospital and 30-day mortality.

resultsA total of 12 958 patients were hospitalized with ACS during the study period, of which 517 (4.0%) were COVID-19-positive and were more likely to present with non-ST-elevation acute myocardial infarction. The COVID-19 ACS group were generally older, Black Asian and Minority ethnicity, more comorbid and had unfavourable presenting clinical characteristics such as elevated cardiac troponin, pulmonary oedema, cardiogenic shock and poor left ventricular systolic function compared with the non-COVID-19 ACS group. They were less likely to receive an invasive coronary angiography (67.7% vs 81.0%), percutaneous coronary intervention (PCI) (30.2% vs 53.9%) and dual antiplatelet medication (76.3% vs 88.0%). After adjusting for all the baseline differences, patients with COVID-19 ACS had higher in-hospital (adjusted odds ratio (aOR): 3.27; 95% confidence interval (CI): 2.41-4.42) and 30-day mortality (aOR: 6.53; 95% CI: 5.1-8.36) compared to patients with the non-COVID-19 ACS.

conclusionCOVID-19 infection was present in 4% of patients hospitalized with an ACS in England and is associated with lower rates of guideline-recommended treatment and significant mortality hazard.

Indexed as

Acute Coronary SyndromeAgedCOVID-19Electronic Health RecordsEnglandFemaleGuideline AdherenceHospitalizationHospital MortalityHumansMalePandemicsPneumonia, ViralPrevalenceRisk FactorsSARS-CoV-2acute coronary syndromecoronavirus disease 2019Englandmortalitypandemic

Identifiers

PMID33462815
PMCPMC8013521

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.