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Kidney function trajectories before and after hospitalization for heart failure with reduced ejection fraction
Masatake Kobayashi1,2, Antoni Bayes-Genis3, Kevin Duarte1
1Université de Lorraine, and the CardioRenal Integration Clinical Investigation Center, INSERM, CHU de Nancy, Rue du Morvan, 54500 Vandoeuvre-les-Nancy, France.
In heart failure with reduced ejection fraction (HFrEF), declining kidney function may predict events like hospitalization or death up to a year in advance. Monitoring estimated glomerular filtration rate (eGFR) trends can help identify at-risk patients early.
Area of Science:
- Cardiology
- Nephrology
- Clinical Trials Research
Background:
- Worsening kidney function is a critical prognostic indicator in heart failure with reduced ejection fraction (HFrEF).
- The precise relationship between kidney function trajectories and heart failure (HF)-related events requires further elucidation.
Purpose of the Study:
- To investigate the association between longitudinal changes in estimated glomerular filtration rate (eGFR) and HF-related events.
- To determine if kidney function decline precedes HF hospitalizations or death in patients with HFrEF.
Main Methods:
- Analysis of individual patient data from two clinical trials (EPHESUS, EMPHASIS-HF) and a real-world cohort (BARCELONA).
- Examination of longitudinal eGFR changes before and after HF-related events (hospitalization or death).
- Correlation of eGFR trajectories with New York Heart Association (NYHA) class.
Main Results:
- Patients experiencing HF-related events exhibited a significantly steeper eGFR decline in the year preceding the event compared to those without events.
- eGFR continued to decline post-event, albeit at a reduced rate.
- Worsening NYHA class was associated with accelerated eGFR decline prior to HF events.
Conclusions:
- Kidney function deterioration may precede HF hospitalizations or death by up to one year in HFrEF patients, potentially linked to symptomatic congestion.
- Monitoring the slope of eGFR, rather than fixed thresholds, may enable earlier identification of patients at high risk for adverse HF events.
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