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Clinical Utility and Validation of the Krakow DCM Risk Score—A Prognostic Model Dedicated to Dilated Cardiomyopathy

Background: One of the most common causes of heart failure is dilated cardiomyopathy (DCM). In DCM, the mortality risk is high and reaches approximately 20% in 5 years. A patient’s prognosis should be established for appropriate HF management. However, so far, no validated tools have been available...

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Autores principales: Dziewięcka, Ewa, Winiarczyk, Mateusz, Wiśniowska-Śmiałek, Sylwia, Karabinowska-Małocha, Aleksandra, Gliniak, Matylda, Robak, Jan, Kaciczak, Monika, Leszek, Przemysław, Celińska-Spodar, Małgorzata, Dziewięcki, Marcin, Rubiś, Paweł
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879244/
https://www.ncbi.nlm.nih.gov/pubmed/35207723
http://dx.doi.org/10.3390/jpm12020236
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author Dziewięcka, Ewa
Winiarczyk, Mateusz
Wiśniowska-Śmiałek, Sylwia
Karabinowska-Małocha, Aleksandra
Gliniak, Matylda
Robak, Jan
Kaciczak, Monika
Leszek, Przemysław
Celińska-Spodar, Małgorzata
Dziewięcki, Marcin
Rubiś, Paweł
author_facet Dziewięcka, Ewa
Winiarczyk, Mateusz
Wiśniowska-Śmiałek, Sylwia
Karabinowska-Małocha, Aleksandra
Gliniak, Matylda
Robak, Jan
Kaciczak, Monika
Leszek, Przemysław
Celińska-Spodar, Małgorzata
Dziewięcki, Marcin
Rubiś, Paweł
author_sort Dziewięcka, Ewa
collection PubMed
description Background: One of the most common causes of heart failure is dilated cardiomyopathy (DCM). In DCM, the mortality risk is high and reaches approximately 20% in 5 years. A patient’s prognosis should be established for appropriate HF management. However, so far, no validated tools have been available for the DCM population. Methods: The study population consisted of 735 DCM patients: 406 from the derivation cohort (previously described) and 329 from the validation cohort (from 2009 to 2020, with outcome data after a mean of 42 months). For each DCM patient, the individual mortality risk was calculated based on the Krakow DCM Risk Score. Results: During follow-up, 49 (15%) patients of the validation cohort died. They had shown significantly higher calculated 1-to-5-year mortality risks. The Krakow DCM Risk Score yielded good discrimination in terms of overall mortality risk, with an AUC of 0.704–0.765. Based on a 2-year mortality risk, patients were divided into non-high (≤6%) and high (>6%) mortality risk groups. The observed mortality rates were 8.3% (n = 44) vs. 42.6% (n = 75), respectively (HR 3.37; 95%CI 1.88–6.05; p < 0.0001). Conclusions: The Krakow DCM Risk Score was found to have good predictive accuracy. The 2-year mortality risk > 6% has good discrimination for the identification of high-risk patients and can be applied in everyday practice.
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spelling pubmed-88792442022-02-26 Clinical Utility and Validation of the Krakow DCM Risk Score—A Prognostic Model Dedicated to Dilated Cardiomyopathy Dziewięcka, Ewa Winiarczyk, Mateusz Wiśniowska-Śmiałek, Sylwia Karabinowska-Małocha, Aleksandra Gliniak, Matylda Robak, Jan Kaciczak, Monika Leszek, Przemysław Celińska-Spodar, Małgorzata Dziewięcki, Marcin Rubiś, Paweł J Pers Med Article Background: One of the most common causes of heart failure is dilated cardiomyopathy (DCM). In DCM, the mortality risk is high and reaches approximately 20% in 5 years. A patient’s prognosis should be established for appropriate HF management. However, so far, no validated tools have been available for the DCM population. Methods: The study population consisted of 735 DCM patients: 406 from the derivation cohort (previously described) and 329 from the validation cohort (from 2009 to 2020, with outcome data after a mean of 42 months). For each DCM patient, the individual mortality risk was calculated based on the Krakow DCM Risk Score. Results: During follow-up, 49 (15%) patients of the validation cohort died. They had shown significantly higher calculated 1-to-5-year mortality risks. The Krakow DCM Risk Score yielded good discrimination in terms of overall mortality risk, with an AUC of 0.704–0.765. Based on a 2-year mortality risk, patients were divided into non-high (≤6%) and high (>6%) mortality risk groups. The observed mortality rates were 8.3% (n = 44) vs. 42.6% (n = 75), respectively (HR 3.37; 95%CI 1.88–6.05; p < 0.0001). Conclusions: The Krakow DCM Risk Score was found to have good predictive accuracy. The 2-year mortality risk > 6% has good discrimination for the identification of high-risk patients and can be applied in everyday practice. MDPI 2022-02-08 /pmc/articles/PMC8879244/ /pubmed/35207723 http://dx.doi.org/10.3390/jpm12020236 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
Dziewięcka, Ewa
Winiarczyk, Mateusz
Wiśniowska-Śmiałek, Sylwia
Karabinowska-Małocha, Aleksandra
Gliniak, Matylda
Robak, Jan
Kaciczak, Monika
Leszek, Przemysław
Celińska-Spodar, Małgorzata
Dziewięcki, Marcin
Rubiś, Paweł
Clinical Utility and Validation of the Krakow DCM Risk Score—A Prognostic Model Dedicated to Dilated Cardiomyopathy
title Clinical Utility and Validation of the Krakow DCM Risk Score—A Prognostic Model Dedicated to Dilated Cardiomyopathy
title_full Clinical Utility and Validation of the Krakow DCM Risk Score—A Prognostic Model Dedicated to Dilated Cardiomyopathy
title_fullStr Clinical Utility and Validation of the Krakow DCM Risk Score—A Prognostic Model Dedicated to Dilated Cardiomyopathy
title_full_unstemmed Clinical Utility and Validation of the Krakow DCM Risk Score—A Prognostic Model Dedicated to Dilated Cardiomyopathy
title_short Clinical Utility and Validation of the Krakow DCM Risk Score—A Prognostic Model Dedicated to Dilated Cardiomyopathy
title_sort clinical utility and validation of the krakow dcm risk score—a prognostic model dedicated to dilated cardiomyopathy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879244/
https://www.ncbi.nlm.nih.gov/pubmed/35207723
http://dx.doi.org/10.3390/jpm12020236
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