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The Usefulness of the C(2)HEST Risk Score in Predicting Clinical Outcomes among Hospitalized Subjects with COVID-19 and Coronary Artery Disease
Background: Even though coronary artery disease (CAD) is considered an independent risk factor of an unfavorable outcome of SARS-CoV-2-infection, the clinical course of COVID-19 in subjects with CAD is heterogeneous, ranging from clinically asymptomatic to fatal cases. Since the individual C(2)HEST...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415686/ https://www.ncbi.nlm.nih.gov/pubmed/36016394 http://dx.doi.org/10.3390/v14081771 |
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author | Rola, Piotr Doroszko, Adrian Trocha, Małgorzata Gajecki, Damian Gawryś, Jakub Matys, Tomasz Giniewicz, Katarzyna Kujawa, Krzysztof Skarupski, Marek Adamik, Barbara Kaliszewski, Krzysztof Kiliś-Pstrusińska, Katarzyna Matera-Witkiewicz, Agnieszka Pomorski, Michał Protasiewicz, Marcin Madziarski, Marcin Madej, Marta Gogolewski, Grzegorz Chourasia, Goutam Zielińska, Dorota Włodarczak, Szymon Rabczyński, Maciej Sokołowski, Janusz Jankowska, Ewa Anita Madziarska, Katarzyna |
author_facet | Rola, Piotr Doroszko, Adrian Trocha, Małgorzata Gajecki, Damian Gawryś, Jakub Matys, Tomasz Giniewicz, Katarzyna Kujawa, Krzysztof Skarupski, Marek Adamik, Barbara Kaliszewski, Krzysztof Kiliś-Pstrusińska, Katarzyna Matera-Witkiewicz, Agnieszka Pomorski, Michał Protasiewicz, Marcin Madziarski, Marcin Madej, Marta Gogolewski, Grzegorz Chourasia, Goutam Zielińska, Dorota Włodarczak, Szymon Rabczyński, Maciej Sokołowski, Janusz Jankowska, Ewa Anita Madziarska, Katarzyna |
author_sort | Rola, Piotr |
collection | PubMed |
description | Background: Even though coronary artery disease (CAD) is considered an independent risk factor of an unfavorable outcome of SARS-CoV-2-infection, the clinical course of COVID-19 in subjects with CAD is heterogeneous, ranging from clinically asymptomatic to fatal cases. Since the individual C(2)HEST components are similar to the COVID-19 risk factors, we evaluated its predictive value in CAD subjects. Materials and Methods: In total, 2183 patients hospitalized due to confirmed COVID-19 were enrolled onto this study consecutively. Based on past medical history, subjects were assigned to one of two of the study arms (CAD vs. non-CAD) and allocated to different risk strata, based on the C(2)HEST score. Results: The CAD cohort included 228 subjects, while the non-CAD cohort consisted of 1956 patients. In-hospital, 3-month and 6-month mortality was highest in the high-risk C(2)HEST stratum in the CAD cohort, reaching 43.06%, 56.25% and 65.89%, respectively, whereas in the non-CAD cohort in the high-risk stratum, it reached: 26.92%, 50.77% and 64.55%. Significant differences in mortality between the C(2)HEST stratum in the CAD arm were observed in post hoc analysis only for medium- vs. high-risk strata. The C(2)HEST score in the CAD cohort could predict hypovolemic shock, pneumonia and acute heart failure during hospitalization, whereas in the non-CAD cohort, it could predict cardiovascular events (myocardial injury, acute heart failure, myocardial infract, carcinogenic shock), pneumonia, acute liver dysfunction and renal injury as well as bleedings. Conclusions: The C(2)HEST score is a simple, easy-to-apply tool which might be useful in risk stratification, preferably in non-CAD subjects admitted to hospital due to COVID-19. |
format | Online Article Text |
id | pubmed-9415686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94156862022-08-27 The Usefulness of the C(2)HEST Risk Score in Predicting Clinical Outcomes among Hospitalized Subjects with COVID-19 and Coronary Artery Disease Rola, Piotr Doroszko, Adrian Trocha, Małgorzata Gajecki, Damian Gawryś, Jakub Matys, Tomasz Giniewicz, Katarzyna Kujawa, Krzysztof Skarupski, Marek Adamik, Barbara Kaliszewski, Krzysztof Kiliś-Pstrusińska, Katarzyna Matera-Witkiewicz, Agnieszka Pomorski, Michał Protasiewicz, Marcin Madziarski, Marcin Madej, Marta Gogolewski, Grzegorz Chourasia, Goutam Zielińska, Dorota Włodarczak, Szymon Rabczyński, Maciej Sokołowski, Janusz Jankowska, Ewa Anita Madziarska, Katarzyna Viruses Article Background: Even though coronary artery disease (CAD) is considered an independent risk factor of an unfavorable outcome of SARS-CoV-2-infection, the clinical course of COVID-19 in subjects with CAD is heterogeneous, ranging from clinically asymptomatic to fatal cases. Since the individual C(2)HEST components are similar to the COVID-19 risk factors, we evaluated its predictive value in CAD subjects. Materials and Methods: In total, 2183 patients hospitalized due to confirmed COVID-19 were enrolled onto this study consecutively. Based on past medical history, subjects were assigned to one of two of the study arms (CAD vs. non-CAD) and allocated to different risk strata, based on the C(2)HEST score. Results: The CAD cohort included 228 subjects, while the non-CAD cohort consisted of 1956 patients. In-hospital, 3-month and 6-month mortality was highest in the high-risk C(2)HEST stratum in the CAD cohort, reaching 43.06%, 56.25% and 65.89%, respectively, whereas in the non-CAD cohort in the high-risk stratum, it reached: 26.92%, 50.77% and 64.55%. Significant differences in mortality between the C(2)HEST stratum in the CAD arm were observed in post hoc analysis only for medium- vs. high-risk strata. The C(2)HEST score in the CAD cohort could predict hypovolemic shock, pneumonia and acute heart failure during hospitalization, whereas in the non-CAD cohort, it could predict cardiovascular events (myocardial injury, acute heart failure, myocardial infract, carcinogenic shock), pneumonia, acute liver dysfunction and renal injury as well as bleedings. Conclusions: The C(2)HEST score is a simple, easy-to-apply tool which might be useful in risk stratification, preferably in non-CAD subjects admitted to hospital due to COVID-19. MDPI 2022-08-14 /pmc/articles/PMC9415686/ /pubmed/36016394 http://dx.doi.org/10.3390/v14081771 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rola, Piotr Doroszko, Adrian Trocha, Małgorzata Gajecki, Damian Gawryś, Jakub Matys, Tomasz Giniewicz, Katarzyna Kujawa, Krzysztof Skarupski, Marek Adamik, Barbara Kaliszewski, Krzysztof Kiliś-Pstrusińska, Katarzyna Matera-Witkiewicz, Agnieszka Pomorski, Michał Protasiewicz, Marcin Madziarski, Marcin Madej, Marta Gogolewski, Grzegorz Chourasia, Goutam Zielińska, Dorota Włodarczak, Szymon Rabczyński, Maciej Sokołowski, Janusz Jankowska, Ewa Anita Madziarska, Katarzyna The Usefulness of the C(2)HEST Risk Score in Predicting Clinical Outcomes among Hospitalized Subjects with COVID-19 and Coronary Artery Disease |
title | The Usefulness of the C(2)HEST Risk Score in Predicting Clinical Outcomes among Hospitalized Subjects with COVID-19 and Coronary Artery Disease |
title_full | The Usefulness of the C(2)HEST Risk Score in Predicting Clinical Outcomes among Hospitalized Subjects with COVID-19 and Coronary Artery Disease |
title_fullStr | The Usefulness of the C(2)HEST Risk Score in Predicting Clinical Outcomes among Hospitalized Subjects with COVID-19 and Coronary Artery Disease |
title_full_unstemmed | The Usefulness of the C(2)HEST Risk Score in Predicting Clinical Outcomes among Hospitalized Subjects with COVID-19 and Coronary Artery Disease |
title_short | The Usefulness of the C(2)HEST Risk Score in Predicting Clinical Outcomes among Hospitalized Subjects with COVID-19 and Coronary Artery Disease |
title_sort | usefulness of the c(2)hest risk score in predicting clinical outcomes among hospitalized subjects with covid-19 and coronary artery disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415686/ https://www.ncbi.nlm.nih.gov/pubmed/36016394 http://dx.doi.org/10.3390/v14081771 |
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