New-onset atrial arrhythmias associated with mortality in black and white patients hospitalized with COVID-19.


Journal

Pacing and clinical electrophysiology : PACE
ISSN: 1540-8159
Titre abrégé: Pacing Clin Electrophysiol
Pays: United States
ID NLM: 7803944

Informations de publication

Date de publication:
05 2021
Historique:
revised: 01 03 2021
received: 26 08 2020
accepted: 14 03 2021
pubmed: 21 3 2021
medline: 22 5 2021
entrez: 20 3 2021
Statut: ppublish

Résumé

Specific details about cardiovascular complications, especially arrhythmias, related to the coronavirus disease of 2019 (COVID-19) are not well described. We sought to evaluate the incidence and predictive factors of cardiovascular complications and new-onset arrhythmias in Black and White hospitalized COVID-19 patients and determine the impact of new-onset arrhythmia on outcomes. We collected and analyzed baseline demographic and clinical data from COVID-19 patients hospitalized at the Tulane Medical Center in New Orleans, Louisiana, between March 1 and May 1, 2020. Among 310 hospitalized COVID-19 patients, the mean age was 61.4 ± 16.5 years, with 58,7% females, and 67% Black patients. Black patients were more likely to be younger, have diabetes and obesity. The incidence of cardiac complications was 20%, with 9% of patients having new-onset arrhythmia. There was no significant difference in cardiovascular outcomes between Black and White patients. A multivariate analysis determined age ≥60 years to be a predictor of new-onset arrhythmia (OR = 7.36, 95% CI [1.95;27.76], p = .003). D-dimer levels positively correlated with cardiac and new-onset arrhythmic event. New onset atrial arrhythmias predicted in-hospital mortality (OR = 2.99 95% CI [1.35;6.63], p = .007), a longer intensive care unit length of stay (mean of 6.14 days, 95% CI [2.51;9.77], p = .001) and mechanical ventilation duration(mean of 9.08 days, 95% CI [3.75;14.40], p = .001). Our results indicate that new onset atrial arrhythmias are commonly encountered in COVID-19 patients and can predict in-hospital mortality. Early elevation in D-dimer in COVID-19 patients is a significant predictor of new onset arrhythmias. Our finding suggest continuous rhythm monitoring should be adopted in this patient population during hospitalization to better risk stratify hospitalized patients and prompt earlier intervention.

Sections du résumé

BACKGROUND
Specific details about cardiovascular complications, especially arrhythmias, related to the coronavirus disease of 2019 (COVID-19) are not well described.
OBJECTIVE
We sought to evaluate the incidence and predictive factors of cardiovascular complications and new-onset arrhythmias in Black and White hospitalized COVID-19 patients and determine the impact of new-onset arrhythmia on outcomes.
METHODS
We collected and analyzed baseline demographic and clinical data from COVID-19 patients hospitalized at the Tulane Medical Center in New Orleans, Louisiana, between March 1 and May 1, 2020.
RESULTS
Among 310 hospitalized COVID-19 patients, the mean age was 61.4 ± 16.5 years, with 58,7% females, and 67% Black patients. Black patients were more likely to be younger, have diabetes and obesity. The incidence of cardiac complications was 20%, with 9% of patients having new-onset arrhythmia. There was no significant difference in cardiovascular outcomes between Black and White patients. A multivariate analysis determined age ≥60 years to be a predictor of new-onset arrhythmia (OR = 7.36, 95% CI [1.95;27.76], p = .003). D-dimer levels positively correlated with cardiac and new-onset arrhythmic event. New onset atrial arrhythmias predicted in-hospital mortality (OR = 2.99 95% CI [1.35;6.63], p = .007), a longer intensive care unit length of stay (mean of 6.14 days, 95% CI [2.51;9.77], p = .001) and mechanical ventilation duration(mean of 9.08 days, 95% CI [3.75;14.40], p = .001).
CONCLUSION
Our results indicate that new onset atrial arrhythmias are commonly encountered in COVID-19 patients and can predict in-hospital mortality. Early elevation in D-dimer in COVID-19 patients is a significant predictor of new onset arrhythmias. Our finding suggest continuous rhythm monitoring should be adopted in this patient population during hospitalization to better risk stratify hospitalized patients and prompt earlier intervention.

Identifiants

pubmed: 33742724
doi: 10.1111/pace.14226
pmc: PMC8251330
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

856-864

Subventions

Organisme : NIGMS NIH HHS
ID : U54 GM104940
Pays : United States

Informations de copyright

© 2021 Wiley Periodicals LLC.

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Auteurs

Lilas Dagher (L)

Heart and Vascular Institute, Tulane University School of Medicine, New Orleans, Louisiana, USA.

Hanyuan Shi (H)

Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA.

Yan Zhao (Y)

Heart and Vascular Institute, Tulane University School of Medicine, New Orleans, Louisiana, USA.

Andrew Wetherbie (A)

Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA.

Erik Johnsen (E)

Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA.

Deep Sangani (D)

Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA.

Saihariharan Nedunchezhian (S)

Heart and Vascular Institute, Tulane University School of Medicine, New Orleans, Louisiana, USA.

Margo Brown (M)

Heart and Vascular Institute, Tulane University School of Medicine, New Orleans, Louisiana, USA.

Peter Miller (P)

Heart and Vascular Institute, Tulane University School of Medicine, New Orleans, Louisiana, USA.

Joshua Denson (J)

Section of Pulmonary Diseases, Critical Care, and Environmental Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA.

John Schieffelin (J)

Department of Pediatrics, Tulane University School of Medicine, New Orleans, Louisiana, USA.

Nassir Marrouche (N)

Heart and Vascular Institute, Tulane University School of Medicine, New Orleans, Louisiana, USA.

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