Journal of Personalized Medicine (Feb 2022)

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

  • 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

DOI
https://doi.org/10.3390/jpm12020236
Journal volume & issue
Vol. 12, no. 2
p. 236

Abstract

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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 6% has good discrimination for the identification of high-risk patients and can be applied in everyday practice.

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