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Renal Biomarkers and Prognosis in HFpEF and HFrEF: The Role of Albuminuria and eGFR-A Systematic Review
Claudia Andreea Palcău1,2, Livia Florentina Păduraru1,2, Cătălina Paraschiv1,2
1Faculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Insights
Albuminuria and estimated glomerular filtration rate (eGFR) predict outcomes in heart failure (HF). Reduced eGFR is a stronger predictor in HF with reduced ejection fraction (HFrEF), while albuminuria is predictive across HF phenotypes.
Area of Science:
- Cardiology
- Nephrology
- Biomarkers
Background:
- Heart failure (HF) and chronic kidney disease (CKD) frequently coexist, impacting patient outcomes.
- Albuminuria and estimated glomerular filtration rate (eGFR) are key CKD markers with prognostic value in HF.
- The predictive roles of albuminuria and eGFR in HF with preserved ejection fraction (HFpEF) versus HF with reduced ejection fraction (HFrEF) require further clarification.
Purpose of the Study:
- To systematically review and evaluate the prognostic significance of albuminuria and eGFR in HF patients.
- To compare the predictive roles of these biomarkers across HFpEF and HFrEF phenotypes.
- To inform clinical decision-making and risk stratification in HF management.
Main Methods:
- Systematic literature search of major databases for relevant clinical studies.
- Inclusion of studies reporting on cardiovascular events, mortality, or HF hospitalizations.
- Subgroup analyses were performed based on ejection fraction (HFpEF vs. HFrEF).
Main Results:
- Twenty-one studies were included, showing consistent associations between albuminuria, reduced eGFR, and increased risk of mortality and hospitalization.
- Reduced eGFR demonstrated stronger prognostic associations in HFrEF populations.
- Albuminuria was found to be predictive across both HFpEF and HFrEF phenotypes.
Conclusions:
- Albuminuria and eGFR are valuable prognostic biomarkers in HF, aiding risk stratification.
- Differential prognostic implications exist between HFpEF and HFrEF, suggesting phenotype-specific approaches.
- Further research is needed to validate findings and guide personalized therapeutic strategies.
Abstract:
Background and Objectives: Heart failure (HF) and chronic kidney disease (CKD) frequently coexist and are closely interrelated, significantly affecting clinical outcomes. Among CKD-related markers, albuminuria and estimated glomerular filtration rate (eGFR) have emerged as key prognostic indicators in HF. However, their specific predictive value across different HF phenotypes-namely HF with preserved ejection fraction (HFpEF) and HF with reduced ejection fraction (HFrEF)-remains incompletely understood. This systematic review aims to evaluate the prognostic significance of albuminuria and eGFR in patients with HF and to compare their predictive roles in HFpEF versus HFrEF populations. Materials and Methods: We conducted a systematic search of major databases to identify clinical studies evaluating the association between albuminuria, eGFR, and adverse outcomes in HF patients. Inclusion criteria encompassed studies reporting on cardiovascular events, all-cause mortality, or HF-related hospitalizations, with subgroup analyses based on ejection fraction. Data extraction and quality assessment were performed independently by two reviewers. Results: Twenty-one studies met the inclusion criteria, including diverse HF populations and various biomarker assessment methods. Both albuminuria and reduced eGFR were consistently associated with increased risk of mortality and hospitalization. In HFrEF populations, reduced eGFR demonstrated stronger prognostic associations, whereas albuminuria was predictive across both HF phenotypes. Heterogeneity in study design and outcome definitions limited comparability. Conclusions: Albuminuria and eGFR are valuable prognostic biomarkers in HF and may enhance risk stratification and clinical decision-making, particularly when integrated into clinical assessment models. Differential prognostic implications in HFpEF versus HFrEF highlight the need for phenotype-specific approaches. Further research is warranted to validate these findings and clarify their role in guiding personalized therapeutic strategies in HF populations. The current evidence base consists primarily of observational studies with variable methodological quality and inconsistent reporting of effect estimates.
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