Extent of lung involvement over severity of cardiac disease for the prediction of adverse outcome in COVID-19 patients with cardiovascular disease.
Aged
COVID-19
/ complications
Cardiovascular Diseases
/ complications
Emergency Service, Hospital
Female
Hospitalization
Humans
Italy
/ epidemiology
Lung
/ diagnostic imaging
Male
Multivariate Analysis
Respiration, Artificial
/ statistics & numerical data
Severity of Illness Index
Thromboembolism
/ virology
Tomography, X-Ray Computed
Covid-19
cardiovascular disease
lung disease
non-contrast CT scan
Journal
International journal of cardiology
ISSN: 1874-1754
Titre abrégé: Int J Cardiol
Pays: Netherlands
ID NLM: 8200291
Informations de publication
Date de publication:
15 01 2021
15 01 2021
Historique:
received:
23
06
2020
revised:
14
09
2020
accepted:
05
10
2020
pubmed:
11
10
2020
medline:
30
12
2020
entrez:
10
10
2020
Statut:
ppublish
Résumé
Aim of the present study was to assess if the presence of high cardiovascular risk, left ventricle systolic dysfunction or elevated BNP or Troponin are able to independently predict the outcome of patients with known cardiac disease and COVID-19 pneumonia. From March 7th to April 28th, forty consecutive patients with known cardiac disease (chronic coronary artery disease, n=38; atrial fibrillation, n = 7; valvular disease, n = 13) referred to our emergency department for symptoms of suspected COVID-19, laboratory diagnosis of COVID-19 and typical signs of viral pneumonia at chest CT were enrolled in the study. The only predictor of the composite end-point (all cause of death + invasive ventilation + thromboembolic event) was the lung involvement % at chest CT (OR: 1.06; 95%CI: 1.01-1.11, P = 0.02). In the multivariate analysis, the lung involvement % at chest CT was the only independent predictor of the composite end-point (OR: 1.06; 95%CI: 1.01-1.11, P = 0.034). The extent of lung involvement by COVID-19 is the only independent predictor of adverse outcome of patients and is predominant over the severity of cardiac disease.
Sections du résumé
BACKGROUND
Aim of the present study was to assess if the presence of high cardiovascular risk, left ventricle systolic dysfunction or elevated BNP or Troponin are able to independently predict the outcome of patients with known cardiac disease and COVID-19 pneumonia.
METHODS AND RESULTS
From March 7th to April 28th, forty consecutive patients with known cardiac disease (chronic coronary artery disease, n=38; atrial fibrillation, n = 7; valvular disease, n = 13) referred to our emergency department for symptoms of suspected COVID-19, laboratory diagnosis of COVID-19 and typical signs of viral pneumonia at chest CT were enrolled in the study. The only predictor of the composite end-point (all cause of death + invasive ventilation + thromboembolic event) was the lung involvement % at chest CT (OR: 1.06; 95%CI: 1.01-1.11, P = 0.02). In the multivariate analysis, the lung involvement % at chest CT was the only independent predictor of the composite end-point (OR: 1.06; 95%CI: 1.01-1.11, P = 0.034).
CONCLUSIONS
The extent of lung involvement by COVID-19 is the only independent predictor of adverse outcome of patients and is predominant over the severity of cardiac disease.
Identifiants
pubmed: 33038410
pii: S0167-5273(20)33915-2
doi: 10.1016/j.ijcard.2020.10.006
pmc: PMC7543753
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
292-294Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.
Références
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