The Model for End-Stage Liver Disease (MELD) can predict outcomes in ambulatory patients with advanced heart failure who have been referred for cardiac transplantation evaluation

Kardiochirurgia i torakochirurgia polska = Polish journal of cardio-thoracic surgery
Bożena Szyguła-JurkiewiczMarian Zembala

Abstract

Risk stratification in heart failure (HF) patients is an important element for management. There are several risk stratification models that can be used to predict the prognosis of patients with HF, such as Aaronson's scale, CVM-HF (CardioVascular Medicine Heart Failure), the Seattle Heart Failure Model (SHFM) and the Munich score. These models fail to adequately address the impact of multiorgan dysfunction on prognosis. The classical Model for End-Stage Liver Disease (MELD) score consists of: total bilirubin, INR (international normalized ratio) and creatinine level. There are some modifications of the MELD scale: MELD-XI, which excludes the INR score; the mod-MELD score, in which INR is replaced with albumin levels; and MELD-Na, which consists of the bilirubin and creatinine levels, INR ratio and the sodium level. Therefore, the MELD score systems are markers of multisystem dysfunction (renal, cardiac, hepatic). It is important that they are composed of routinely collected laboratory measures which are easy to use.

Related Concepts

Related Feeds

Biomarkers for Cardiovascular Risk Assessment

Sensitive and accurate biomarkers used in cardiovascular risk prediction can potentially be used to manage the risk of cardiovascular disease. Discover the latest research on Biomarkers for Cardiovascular Risk Assessment here. Discover the latest research on Biomarkers for Cardiovascular Risk Assessment here.

Related Papers

International Journal of Cardiology
Taku InoharaWest Tokyo Heart Failure Registry Investigators
Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology
Jun-yong ZhangJi-dong Jia
The Journal of the Association of Physicians of India
H G Desai
© 2021 Meta ULC. All rights reserved