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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Authors: 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
Format: article
Publication Date:2021
Country:España
Institution:Universitat Autònoma de Barcelona
Repository:Dipòsit Digital de Documents de la UAB
Language:English
OAI Identifier:oai:ddd.uab.cat:282994
Online Access:https://ddd.uab.cat/record/282994
https://dx.doi.org/urn:doi:10.3390/jcm10245863
Access Level:Open access
Keyword:COVID-19
SARS-CoV2
Biomarkers
Troponin
Creatinine
Prognosis
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spelling Biomarkers Predict In-Hospital Major Adverse Cardiac Events in COVID-19 PatientsA Multicenter International StudyHenein, Michael Y.|||0000-0002-6089-5614Mandoli, Giulia Elena|||0000-0002-3184-3006Pastore, Maria Concetta|||0000-0002-7223-141XGhionzoli, NicolòHasson, FouhadNisar, Muhammad K.|||0000-0002-5132-3972Islam, MohammedBandera, FrancescoMarrocco-Trischitta, Massimiliano M.Baroni, IreneMalagoli, Alessandro|||0000-0001-9119-4311Rossi, Luca|||0000-0001-6829-5229Biagi, AndreaCitro, RodolfoCiccarelli, Michele|||0000-0003-2379-1960Silverio, Angelo|||0000-0001-9749-8092Biagioni, GiuliaMoutiris, Joseph A.Vancheri, Federico|||0000-0002-5268-063XMazzola, GiovanniGeraci, GiulioThomas, LizaAltman, MikhailPernow, JohnAhmed, Mona|||0000-0002-9579-1380Santoro, Ciro|||0000-0002-6329-1680Esposito, RobertaCasas, Guillem|||0000-0001-7122-320XFernández-Galera, Rubén|||0000-0002-3870-9360Gonzalez, MaribelRodriguez Palomares, JoseBytyçi, Ibadete|||0000-0002-8996-4257Dini, Frank Lloyd|||0000-0003-1458-4820Cameli, Paolo|||0000-0001-8639-2882Franchi, FedericoBajraktari, Gani|||0000-0003-0410-968XBadano, Luigi P.|||0000-0002-0379-3283Cameli, Matteo|||0000-0003-3872-8964COVID-19SARS-CoV2BiomarkersTroponinCreatininePrognosisBackground: 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.Universitat Autònoma de Barcelona 22021-01-0120212021-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/282994https://dx.doi.org/urn:doi:10.3390/jcm10245863reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2829942026-06-06T12:50:31Z
dc.title.none.fl_str_mv Biomarkers Predict In-Hospital Major Adverse Cardiac Events in COVID-19 Patients
A Multicenter International Study
title Biomarkers Predict In-Hospital Major Adverse Cardiac Events in COVID-19 Patients
spellingShingle Biomarkers Predict In-Hospital Major Adverse Cardiac Events in COVID-19 Patients
Henein, Michael Y.|||0000-0002-6089-5614
COVID-19
SARS-CoV2
Biomarkers
Troponin
Creatinine
Prognosis
title_short Biomarkers Predict In-Hospital Major Adverse Cardiac Events in COVID-19 Patients
title_full Biomarkers Predict In-Hospital Major Adverse Cardiac Events in COVID-19 Patients
title_fullStr Biomarkers Predict In-Hospital Major Adverse Cardiac Events in COVID-19 Patients
title_full_unstemmed Biomarkers Predict In-Hospital Major Adverse Cardiac Events in COVID-19 Patients
title_sort Biomarkers Predict In-Hospital Major Adverse Cardiac Events in COVID-19 Patients
dc.creator.none.fl_str_mv 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
author Henein, Michael Y.|||0000-0002-6089-5614
author_facet 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
author_role author
author2 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
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
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dc.contributor.none.fl_str_mv Universitat Autònoma de Barcelona
dc.subject.none.fl_str_mv COVID-19
SARS-CoV2
Biomarkers
Troponin
Creatinine
Prognosis
topic COVID-19
SARS-CoV2
Biomarkers
Troponin
Creatinine
Prognosis
description 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.
publishDate 2021
dc.date.none.fl_str_mv 2
2021-01-01
2021
2021-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/282994
https://dx.doi.org/urn:doi:10.3390/jcm10245863
url https://ddd.uab.cat/record/282994
https://dx.doi.org/urn:doi:10.3390/jcm10245863
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
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instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
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