ESC Heart Failure | Publication | eGFR Slope as Predictor of Mortality in Heart Failure Patients
Chronic kidney disease (CKD) often coexists with heart failure (HF), creating a complex interplay that impacts patient outcomes. Using EHRs, advanced data analytics and statistical modeling, the study examined the significance of kidney function—specifically eGFR trajectories—in predicting mortality in HF patients.
doi.org/10.1002/ehf2.15128
Authors: Sofie Verstreken, Monika Beles, Clara L. Oeste, Ana Moya, Imke Masuy, Riet Dierckx, Ward Heggermont, Jeroen Dauw, Dries Hens, Jozef Bartunek, Marc Vanderheyden
Key findings:
- CKD affects 58% of HF patients and doubles 1- and 2-year mortality rates
- Declines in eGFR over a year significantly increase mortality risk, underlining the importance of monitoring eGFR trends, not just baseline values.
- Beyond kidney function, other predictors like age, NT-proBNP levels, and comorbidities shape patient prognosis.
This real-world evidence study highlights the potential of integrating eGFR trends into clinical assessments, paving the way for more personalized and proactive HF management.
Thank you, Heart Center Aalst!
Key findings:
- CKD affects 58% of HF patients and doubles 1- and 2-year mortality rates
- Declines in eGFR over a year significantly increase mortality risk, underlining the importance of monitoring eGFR trends, not just baseline values.
- Beyond kidney function, other predictors like age, NT-proBNP levels, and comorbidities shape patient prognosis.
This real-world evidence study highlights the potential of integrating eGFR trends into clinical assessments, paving the way for more personalized and proactive HF management.
Thank you, Heart Center Aalst!
