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Prognostic value of liver stiffness in patients with heart failure: a systematic review and meta-analysis
Irina-Maria Stoleru1,2, Mihaela Mocan3,4, Camil-Horea-Eusebiu Crișan3,4
11st Medical Clinic, Department of Internal Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, 400012, Romania. stoleru_irina_maria@elearn.umfcluj.ro.
Insights
Elevated liver stiffness (LS) indicates poor outcomes in heart failure (HF) patients. This noninvasive marker of liver congestion aids prognostication and therapeutic decisions in HF management.
Area of Science:
- Cardiology
- Hepatology
- Medical Diagnostics
Background:
- Heart failure (HF) affects over 64 million globally, frequently causing cardio-hepatic syndrome.
- Liver stiffness (LS) is a potential noninvasive marker for cardiac outcomes in HF.
- The prognostic value and optimal LS cutoff values in HF require further clarification.
Purpose of the Study:
- To evaluate the prognostic value of liver stiffness (LS) in patients with heart failure (HF).
- To assess the association between LS and adverse cardiac events in acute decompensated HF (ADHF) and chronic HF (CHF).
- To determine the utility of LS as a noninvasive marker for liver congestion in HF.
Main Methods:
- A systematic review and meta-analysis of studies published up to September 2024.
- Inclusion of 34 studies for qualitative assessment (3753 individuals) and 11 studies for quantitative assessment (1085 patients).
- Methodological quality assessed using NHLBI criteria; meta-analysis and meta-regression performed using RevMan 5.4 and JASP software.
Main Results:
- Elevated LS significantly correlated with adverse cardiac events in both ADHF (HR: 1.04) and CHF (HR: 1.09).
- Meta-regression indicated LS cutoff values did not impact pooled estimates.
- Heterogeneity was attributed to demographic and methodological variations across studies.
Conclusions:
- Increased LS is linked to poorer outcomes in hospitalized HF patients, with a more pronounced effect in CHF.
- LS shows promise as a noninvasive indicator of liver congestion in HF.
- LS measurement can potentially assist in guiding HF treatment and improving patient prognostication.
Aims:
Heart failure (HF) is a complex, multisystemic condition affecting 64 million people worldwide and often leads to cardio-hepatic syndrome due to venous congestion and ischemic liver changes. Liver stiffness (LS) measured through elastographic methods has emerged as a potential noninvasive marker for cardiac outcomes in HF patients. However, its prognostic value and the implications for LS cutoff values remain uncertain, necessitating further investigation.
Methods:
Multiple databases (PubMed, Embase, Scopus and the Cochrane Library Database) were searched up to 1st September 2024. Two reviewers screened records and extracted data according to the inclusion and exclusion criteria. The methodological quality was evaluated using the National Heart, Lung and Blood Institute (NHLBI) for observational cohort and cross-sectional studies. The meta-analysis was performed using RevMan 5.4 and the meta-regression and publication bias analyses (including Egger's and Rank-correlation tests) were performed using JASP software, version 0.19.1.
Results:
Thirty-four studies involving 3753 individuals were included in our qualitative assessment, while 11 studies involving 1085 patients were included in the quantitative assessment. Elevated LS was significantly associated with adverse cardiac events in both acute decompensated HF (ADHF, hazard ratio (HR): 1.04, 95% CI: 1.01-1.07; I² = 61%) and chronic HF (CHF, HR: 1.09, 95% CI: 1.04-1.13; I² = 81%). Meta-regression revealed that LS cutoff values did not influence pooled estimates, and heterogeneity likely stemmed from demographic and methodological differences.
Conclusion:
Increased LS is associated with poor outcomes in patients hospitalized for HF, with a greater overall effect size in the CHF group than in the ADHF group. The LS is a promising noninvasive marker of liver congestion in HF and may aid both therapeutic decision-making and prognostication.
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