Evidence map›Paper›PMID 35490848›Full record

ArticleIndian heart journal

Cardiac complications of COVID-19: Incidence and outcomes.

Jayasree Pillarisetti, Mubeen S Cheema, Justin Haloot, Manoj Panday, Auroa Badin, Anjlee Mehta, Allen S Anderson, Anand Prasad

Abstract read
In one paragraph

Article in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

8 authors.

Jayasree PillarisettiDivision of Cardiology, University of Texas Health San Antonio, USA. Electronic address: pillarisetti@uthscsa.edu.
Mubeen S CheemaDivision of Cardiology, University of Texas Health San Antonio, USA.
Justin HalootDivision of Cardiology, University of Texas Health San Antonio, USA.
Manoj PandayDivision of Cardiology, University of Texas Health San Antonio, USA.
Auroa BadinDivision of Cardiology, University of Texas Health San Antonio, USA.
Anjlee MehtaDivision of Cardiology, University of Texas Health San Antonio, USA.
Allen S AndersonDivision of Cardiology, University of Texas Health San Antonio, USA.
Anand PrasadDivision of Cardiology, University of Texas Health San Antonio, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease-2019 (COVID-19) has been associated with pre-existing cardiac conditions as well as cardiovascular complications. The incidence rates of cardiac complications, age, and gender differences in this population are unknown.

objectivesWe wanted to study the incidence of cardiac complications and mortality in patients with COVID-19.

methodsData from the TriNetX COVID-19 global research network platform was used to identify COVID-19 patients. We compared patients with and without cardiac complications in patients with COVID-19 and obtained survival data.

resultsThe final cohort was composed of 81,844 patients with COVID-19. Cardiac complications occurred in 9.3% of patients as follows: acute coronary syndromes in 1.3%, heart failure in 4.4%, atrial fibrillation in 4.5%, sinus bradycardia 1.9%, ventricular tachycardia in 0.5% and complete heart block in 0.01%. Mortality was significantly higher in patients with the cardiac complications mentioned (20%) than in those without them (2.9%) (odds ratio 7.2, 95% CI, 6.7-7.7; p < 0.0001). Older males seem to have higher incidence of cardiac complications and mortality.

conclusionsPatients with COVID-19 who have cardiac complications have a higher risk of mortality when compared to those without cardiac complications.

Indexed as

Acute Coronary SyndromeAtrial FibrillationCOVID-19Heart FailureHumansIncidenceMaleCardiac complicationsCOVID-19MortalitySARS-CoV-2

Identifiers

PMID35490848
PMCPMC9050189

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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.