Biomarkers Predict In-Hospital Major Adverse Cardiac Events in COVID-19 Patients

Background: The COVID-19 pandemic carries a high burden of morbidity and mortality worldwide. We aimed to identify possible predictors of in-hospital major cardiovascular (CV) events in COVID-19. Methods: We retrospectively included patients hospitalized for COVID-19 from 10 centers. Clinical, bioch...

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Autores: Henein, Michael Y.|||0000-0002-6089-5614, Mandoli, Giulia Elena|||0000-0002-3184-3006, Pastore, Maria Concetta|||0000-0002-7223-141X, Ghionzoli, Nicolò, Hasson, Fouhad, Nisar, Muhammad K.|||0000-0002-5132-3972, Islam, Mohammed, Bandera, Francesco, Marrocco-Trischitta, Massimiliano M., Baroni, Irene, Malagoli, Alessandro|||0000-0001-9119-4311, Rossi, Luca|||0000-0001-6829-5229, Biagi, Andrea, Citro, Rodolfo, Ciccarelli, Michele|||0000-0003-2379-1960, Silverio, Angelo|||0000-0001-9749-8092, Biagioni, Giulia, Moutiris, Joseph A., Vancheri, Federico|||0000-0002-5268-063X, Mazzola, Giovanni, Geraci, Giulio, Thomas, Liza, Altman, Mikhail, Pernow, John, Ahmed, Mona|||0000-0002-9579-1380, Santoro, Ciro|||0000-0002-6329-1680, Esposito, Roberta, Casas, Guillem|||0000-0001-7122-320X, Fernández-Galera, Rubén|||0000-0002-3870-9360, Gonzalez, Maribel, Rodriguez Palomares, Jose, Bytyçi, Ibadete|||0000-0002-8996-4257, Dini, Frank Lloyd|||0000-0003-1458-4820, Cameli, Paolo|||0000-0001-8639-2882, Franchi, Federico, Bajraktari, Gani|||0000-0003-0410-968X, Badano, Luigi P.|||0000-0002-0379-3283, Cameli, Matteo|||0000-0003-3872-8964
Tipo de documento: artigo
Data de publicação:2021
País:España
Recursos:Universitat Autònoma de Barcelona
Repositório:Dipòsit Digital de Documents de la UAB
Idioma:inglês
OAI Identifier:oai:ddd.uab.cat:282994
Acesso em linha:https://ddd.uab.cat/record/282994
https://dx.doi.org/urn:doi:10.3390/jcm10245863
Access Level:Acceso aberto
Palavra-chave:COVID-19
SARS-CoV2
Biomarkers
Troponin
Creatinine
Prognosis
Descrição
Resumo:Background: The COVID-19 pandemic carries a high burden of morbidity and mortality worldwide. We aimed to identify possible predictors of in-hospital major cardiovascular (CV) events in COVID-19. Methods: We retrospectively included patients hospitalized for COVID-19 from 10 centers. Clinical, biochemical, electrocardiographic, and imaging data at admission and medications were collected. Primary endpoint was a composite of in-hospital CV death, acute heart failure (AHF), acute myocarditis, arrhythmias, acute coronary syndromes (ACS), cardiocirculatory arrest, and pulmonary embolism (PE). Results: Of the 748 patients included, 141(19%) reached the set endpoint: 49 (7%) CV death, 15 (2%) acute myocarditis, 32 (4%) sustained-supraventricular or ventricular arrhythmias, 14 (2%) cardiocirculatory arrest, 8 (1%) ACS, 41 (5%) AHF, and 39 (5%) PE. Patients with CV events had higher age, body temperature, creatinine, high-sensitivity troponin, white blood cells, and platelet counts at admission and were more likely to have systemic hypertension, renal failure (creatinine ≥ 1.25 mg/dL), chronic obstructive pulmonary disease, atrial fibrillation, and cardiomyopathy. On univariate and multivariate analysis, troponin and renal failure were associated with the composite endpoint. Kaplan-Meier analysis showed a clear divergence of in-hospital composite event-free survival stratified according to median troponin value and the presence of renal failure (Log rank p < 0.001). Conclusions: Our findings, derived from a multicenter data collection study, suggest the routine use of biomarkers, such as cardiac troponin and serum creatinine, for in-hospital prediction of CV events in patients with COVID-19.

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