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Mortality Predictive Value of the C(2)HEST Score in Elderly Subjects with COVID-19—A Subanalysis of the COLOS Study

Senility has been identified among the strongest risk predictors for unfavorable COVID-19-outcome. However, even in the elderly population, the clinical course of infection in individual patients remains unpredictable. Hence, there is an urgent need for developing a simple tool predicting adverse CO...

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Autores principales: Rola, Piotr, Doroszko, Adrian, Trocha, Małgorzata, Giniewicz, Katarzyna, Kujawa, Krzysztof, Skarupski, Marek, Gawryś, Jakub, Matys, Tomasz, Szahidewicz-Krupska, Ewa, Gajecki, Damian, Adamik, Barbara, Kaliszewski, Krzysztof, Kilis-Pstrusinska, Katarzyna, Letachowicz, Krzysztof, Matera-Witkiewicz, Agnieszka, Pomorski, Michał, Protasiewicz, Marcin, Majchrzak, Konrad, Sokołowski, Janusz, Jankowska, Ewa Anita, Madziarska, Katarzyna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879688/
https://www.ncbi.nlm.nih.gov/pubmed/35207272
http://dx.doi.org/10.3390/jcm11040992
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author Rola, Piotr
Doroszko, Adrian
Trocha, Małgorzata
Giniewicz, Katarzyna
Kujawa, Krzysztof
Skarupski, Marek
Gawryś, Jakub
Matys, Tomasz
Szahidewicz-Krupska, Ewa
Gajecki, Damian
Adamik, Barbara
Kaliszewski, Krzysztof
Kilis-Pstrusinska, Katarzyna
Letachowicz, Krzysztof
Matera-Witkiewicz, Agnieszka
Pomorski, Michał
Protasiewicz, Marcin
Majchrzak, Konrad
Sokołowski, Janusz
Jankowska, Ewa Anita
Madziarska, Katarzyna
author_facet Rola, Piotr
Doroszko, Adrian
Trocha, Małgorzata
Giniewicz, Katarzyna
Kujawa, Krzysztof
Skarupski, Marek
Gawryś, Jakub
Matys, Tomasz
Szahidewicz-Krupska, Ewa
Gajecki, Damian
Adamik, Barbara
Kaliszewski, Krzysztof
Kilis-Pstrusinska, Katarzyna
Letachowicz, Krzysztof
Matera-Witkiewicz, Agnieszka
Pomorski, Michał
Protasiewicz, Marcin
Majchrzak, Konrad
Sokołowski, Janusz
Jankowska, Ewa Anita
Madziarska, Katarzyna
author_sort Rola, Piotr
collection PubMed
description Senility has been identified among the strongest risk predictors for unfavorable COVID-19-outcome. However, even in the elderly population, the clinical course of infection in individual patients remains unpredictable. Hence, there is an urgent need for developing a simple tool predicting adverse COVID-19-outcomes. We assumed that the C2HEST-score could predict unfavorable clinical outcomes in the elderly subjects with COVID-19-subjects. Methods: We retrospectively analyzed 1047 medical records of patients at age > 65 years, hospitalized at the medical university center due to COVID-19. Subsequently, patients were divided into three categories depending on their C2HEST-score result. Results: We noticed significant differences in the in-hospital and 3-month and 6-month mortality-which was the highest in high-risk-C2HEST-stratum reaching 35.7%, 54.4%, and 65.9%, respectively. The medium-risk-stratum mortalities reached 24.1% 43.4%, and 57.6% and for low-risk-stratum 14.4%, 25.8%, and 39.2% respectively. In the C2HEST-score model, a change from the low to the medium category increased the probability of death intensity approximately two-times. Subsequently, transfer from the low-risk to the high-risk-stratum raised all-cause-death-intensity 2.7-times. Analysis of the secondary outcomes revealed that the C2HEST-score has predictive value for acute kidney injury, acute heart failure, and cardiogenic shock. Conclusions: C2HEST-score analysis on admission to the hospital may predict the mortality, acute kidney injury, and acute heart failure in elderly subjects with COVID-19.
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spelling pubmed-88796882022-02-26 Mortality Predictive Value of the C(2)HEST Score in Elderly Subjects with COVID-19—A Subanalysis of the COLOS Study Rola, Piotr Doroszko, Adrian Trocha, Małgorzata Giniewicz, Katarzyna Kujawa, Krzysztof Skarupski, Marek Gawryś, Jakub Matys, Tomasz Szahidewicz-Krupska, Ewa Gajecki, Damian Adamik, Barbara Kaliszewski, Krzysztof Kilis-Pstrusinska, Katarzyna Letachowicz, Krzysztof Matera-Witkiewicz, Agnieszka Pomorski, Michał Protasiewicz, Marcin Majchrzak, Konrad Sokołowski, Janusz Jankowska, Ewa Anita Madziarska, Katarzyna J Clin Med Article Senility has been identified among the strongest risk predictors for unfavorable COVID-19-outcome. However, even in the elderly population, the clinical course of infection in individual patients remains unpredictable. Hence, there is an urgent need for developing a simple tool predicting adverse COVID-19-outcomes. We assumed that the C2HEST-score could predict unfavorable clinical outcomes in the elderly subjects with COVID-19-subjects. Methods: We retrospectively analyzed 1047 medical records of patients at age > 65 years, hospitalized at the medical university center due to COVID-19. Subsequently, patients were divided into three categories depending on their C2HEST-score result. Results: We noticed significant differences in the in-hospital and 3-month and 6-month mortality-which was the highest in high-risk-C2HEST-stratum reaching 35.7%, 54.4%, and 65.9%, respectively. The medium-risk-stratum mortalities reached 24.1% 43.4%, and 57.6% and for low-risk-stratum 14.4%, 25.8%, and 39.2% respectively. In the C2HEST-score model, a change from the low to the medium category increased the probability of death intensity approximately two-times. Subsequently, transfer from the low-risk to the high-risk-stratum raised all-cause-death-intensity 2.7-times. Analysis of the secondary outcomes revealed that the C2HEST-score has predictive value for acute kidney injury, acute heart failure, and cardiogenic shock. Conclusions: C2HEST-score analysis on admission to the hospital may predict the mortality, acute kidney injury, and acute heart failure in elderly subjects with COVID-19. MDPI 2022-02-14 /pmc/articles/PMC8879688/ /pubmed/35207272 http://dx.doi.org/10.3390/jcm11040992 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
Giniewicz, Katarzyna
Kujawa, Krzysztof
Skarupski, Marek
Gawryś, Jakub
Matys, Tomasz
Szahidewicz-Krupska, Ewa
Gajecki, Damian
Adamik, Barbara
Kaliszewski, Krzysztof
Kilis-Pstrusinska, Katarzyna
Letachowicz, Krzysztof
Matera-Witkiewicz, Agnieszka
Pomorski, Michał
Protasiewicz, Marcin
Majchrzak, Konrad
Sokołowski, Janusz
Jankowska, Ewa Anita
Madziarska, Katarzyna
Mortality Predictive Value of the C(2)HEST Score in Elderly Subjects with COVID-19—A Subanalysis of the COLOS Study
title Mortality Predictive Value of the C(2)HEST Score in Elderly Subjects with COVID-19—A Subanalysis of the COLOS Study
title_full Mortality Predictive Value of the C(2)HEST Score in Elderly Subjects with COVID-19—A Subanalysis of the COLOS Study
title_fullStr Mortality Predictive Value of the C(2)HEST Score in Elderly Subjects with COVID-19—A Subanalysis of the COLOS Study
title_full_unstemmed Mortality Predictive Value of the C(2)HEST Score in Elderly Subjects with COVID-19—A Subanalysis of the COLOS Study
title_short Mortality Predictive Value of the C(2)HEST Score in Elderly Subjects with COVID-19—A Subanalysis of the COLOS Study
title_sort mortality predictive value of the c(2)hest score in elderly subjects with covid-19—a subanalysis of the colos study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879688/
https://www.ncbi.nlm.nih.gov/pubmed/35207272
http://dx.doi.org/10.3390/jcm11040992
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