التفاصيل البيبلوغرافية
العنوان: |
Clinical Utility and Validation of the Krakow DCM Risk Score—A Prognostic Model Dedicated to Dilated Cardiomyopathy |
المؤلفون: |
Ewa Dziewięcka, Mateusz Winiarczyk, Sylwia Wiśniowska-Śmiałek, Aleksandra Karabinowska-Małocha, Matylda Gliniak, Jan Robak, Monika Kaciczak, Przemysław Leszek, Małgorzata Celińska-Spodar, Marcin Dziewięcki, Paweł Rubiś |
المصدر: |
Journal of Personalized Medicine; Volume 12; Issue 2; Pages: 236 |
بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
سنة النشر: |
2022 |
المجموعة: |
MDPI Open Access Publishing |
مصطلحات موضوعية: |
dilated cardiomyopathy, non-ischemic heart failure with reduced ejection fraction, prognosis, prognostic model, mortality risk, Krakow DCM Risk Score |
الوصف: |
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. |
نوع الوثيقة: |
text |
وصف الملف: |
application/pdf |
اللغة: |
English |
Relation: |
Mechanisms of Diseases; https://dx.doi.org/10.3390/jpm12020236 |
DOI: |
10.3390/jpm12020236 |
الاتاحة: |
https://doi.org/10.3390/jpm12020236 |
Rights: |
https://creativecommons.org/licenses/by/4.0/ |
رقم الانضمام: |
edsbas.82891969 |
قاعدة البيانات: |
BASE |