Evidence map›Paper›PMID 37726514›Full record

ArticleThe international journal of cardiovascular imaging2022

Premorbid echocardiography and risk of hospitalization in COVID-19.

Harsh Goel, Kashyap Shah, Janish Kothari, Timothy Daly, Pooja Saraiya, Israa Taha, Marjolein Le, Jamshid Shirani

Abstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Harsh GoelDepartment of Medicine, St. Luke's University Hospital, 801 Ostrum Street, Bethlehem, PA, USA, 18015.
Kashyap ShahDepartment of Medicine, St. Luke's University Hospital, 801 Ostrum Street, Bethlehem, PA, USA, 18015. kashyap.shah@sluhn.org.ORCID http://orcid.org/0000-0001-7884-1692
Janish KothariDivision of Cardiovascular Medicine, St. Luke's University Hospital, Bethlehem, PA, USA, 18015.
Timothy DalyDepartment of Medicine, St. Luke's University Hospital, 801 Ostrum Street, Bethlehem, PA, USA, 18015.
Pooja SaraiyaDepartment of Medicine, St. Luke's University Hospital, 801 Ostrum Street, Bethlehem, PA, USA, 18015.
Israa TahaDepartment of Medicine, St. Luke's University Hospital, 801 Ostrum Street, Bethlehem, PA, USA, 18015.
Marjolein LeDepartment of Medicine, St. Luke's University Hospital, 801 Ostrum Street, Bethlehem, PA, USA, 18015.
Jamshid ShiraniDivision of Cardiovascular Medicine, St. Luke's University Hospital, Bethlehem, PA, USA, 18015.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 has caused a global pandemic unprecedented in a century. Though primarily a respiratory illness, cardiovascular risk factors predict adverse outcomes. We aimed to investigate the role of baseline echocardiographic abnormalities in further refining risk in addition to clinical risk factors.

methodsAdults with COVID-19 positive RT-PCR test across St Luke's University Health Network between March 1st 2020-October 31st 2020 were identified. Those with trans-thoracic echocardiography (TTE) within 15-180 days preceding COVID-19 positivity were selected, excluding severe valvular disease, acute cardiac event between TTE and COVID-19, or asymptomatic patients positive on screening. Demographic, clinical, and echocardiographic variables were manually extracted from patients' EHR and compared between groups stratified by disease severity. Logistic regression was used to identify independent predictors of hospitalization.

results192 patients met inclusion criteria. 87 (45.3%) required hospitalization, 34 (17.7%) suffered severe disease (need for ICU care/mechanical ventilation/in-hospital death). Age, co-morbidities, and several echocardiographic abnormalities were more prevalent in those with moderate-severe disease than in mild disease, with notable exceptions of systolic/diastolic dysfunction. On multivariate analysis, age (OR 1.039, 95% CI 1.011-1.067), coronary artery disease (OR 4.184, 95% CI 1.451-12.063), COPD (OR 6.886, 95% CI 1.396-33.959) and left atrial diameter ≥ 4.0 cm (OR 2.379, 95% CI 1.031-5.493) predicted need for hospitalization. Model showed excellent discrimination (ROC AUC 0.809, 95% CI 0.746-0.873).

conclusionsBaseline left atrial enlargement is an independent risk factor for risk of hospitalization among patients with COVID-19. When available, baseline LA enlargement may identify patients for (1) closer outpatient follow up, and (2) counseling vaccine-hesitancy.

Indexed as

Atrial FibrillationCOVID-19AdultEchocardiographyHospitalizationHospital MortalityHumansPredictive Value of TestsCoronavirus disease 2019COVID-19EchocardiographyHospitalizationRisk

Identifiers

PMID37726514
PMCPMC8982906

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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.