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A Clinical-Imaging Score Reclassifies Indeterminate Diastolic Dysfunction and Predicts Posttransplant Cardiac Events
Jae Hyon Park1,2, Eun-Ki Min3, June Park1
1Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
A new risk score combining liver stiffness from MRE and NT-proBNP effectively identifies diastolic dysfunction (DD) in liver cirrhosis patients, improving prediction of major adverse cardiac events after liver transplantation.
Area of Science:
- Cardiology
- Hepatology
- Medical Imaging
Background:
- Left ventricular diastolic dysfunction (DD) is prevalent in liver cirrhosis (LC) patients, impacting transplant outcomes.
- Predicting post-liver transplantation (LT) major adverse cardiac events (MACE) is crucial.
Purpose of the Study:
- Develop a simple clinical risk score using magnetic resonance elastography (MRE) and biomarkers.
- Identify DD and enhance MACE prediction in LC patients undergoing LT.
Main Methods:
- Retrospective analysis of 114 LC patients with pre-LT MRE and echocardiography.
- Identified independent predictors of DD using logistic regression.
- Developed and validated a composite DD risk score.
Main Results:
- Higher NT-proBNP and MRE liver stiffness predicted DD.
- The risk score improved DD identification and MACE prediction.
- The score reclassified indeterminate DD cases, increasing prevalence to 18.4% and significantly associating with MACE.
Conclusions:
- A risk score integrating MRE liver stiffness and NT-proBNP enhances DD detection.
- This score improves prognostication of post-LT MACE.
- It serves as a valuable tool for patients with equivocal DD on echocardiography.
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