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[Prevalence and prognostic value of liver function abnormalities in patients with chronic systolic heart failure]

Sheng-bo Yu1, Hong-ying Cui, Mu Qin

  • 1Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan 430060, China.

Zhonghua Yi Xue Za Zhi
|February 11, 2012
PubMed

Insights

Liver function abnormalities are common in patients with chronic systolic heart failure (HF). High direct bilirubin, high total bilirubin, and low albumin are independent risk factors for mortality in these patients.

Area of Science:

  • Cardiology
  • Hepatology
  • Internal Medicine

Context:

  • Chronic systolic heart failure (HF) affects millions globally, often accompanied by secondary complications.
  • Liver function abnormalities are frequently observed in HF patients but their prognostic significance requires further elucidation.

Purpose:

  • To systematically evaluate the prevalence of liver function abnormalities in patients with chronic systolic heart failure (HF).
  • To determine the prognostic value of these abnormalities on overall mortality.
  • To explore correlations between cardiac function parameters and liver function markers.

Summary:

  • This study analyzed 16,681 hospitalized patients with chronic systolic HF (left ventricular ejection fraction < 50%).
  • Over a median 3-year follow-up, 38.69% of patients died. Liver function abnormalities were prevalent (71.94%), with elevated direct bilirubin, GGT, and ALT being most common.
  • Low albumin, high direct bilirubin, and high total bilirubin were identified as independent risk factors for mortality. Left ventricular ejection fraction and right ventricular end-diastolic diameter showed correlations with liver function markers.

Impact:

  • Highlights the high prevalence of liver dysfunction in chronic systolic HF patients.
  • Identifies specific liver function markers (low albumin, high direct/total bilirubin) as significant predictors of mortality.
  • Provides evidence for the association between cardiac dysfunction and liver abnormalities, informing clinical management and risk stratification.
Abstract

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