Key result
Modified HFA-PEFF algorithm identifies HFpEF in ~53% of CKD G3-G4 patients, exposing NT-proBNP threshold variability.
Why the study?
Interpretation of natriuretic peptide-based HFpEF diagnosis remains challenging in CKD populations, where structural cardiac abnormalities and elevated NT-proBNP levels frequently coexist.
Do current NT-proBNP thresholds accurately classify HFpEF in ambulatory patients with CKD stages G3-G4 and NYHA II dyspnea?
Cross-Sectional
Do current NT-proBNP thresholds accurately classify HFpEF in ambulatory patients with CKD stages G3-G4 and NYHA II dyspnea?
Current NT-proBNP thresholds for HFpEF diagnosis may be inadequate in patients with CKD G3-G4, highlighting the need for CKD-specific diagnostic algorithms.
NT-proBNP thresholds may underestimate HFpEF in CKD G3-G4; leaves open need for CKD-specific validation before clinical use.
Background: Chronic kidney disease (CKD) is associated with a high burden of cardiovascular remodeling and increased risk of heart failure with preserved ejection fraction (HFpEF). However, the interpretation of natriuretic peptide-based HFpEF diagnostic remains challenging in CKD populations, where structural cardiac abnormalities and elevated NT-proBNP levels frequently coexist. Methods: We conducted a cross-sectional study including ambulatory patients with CKD stages G3–G4 and NYHA II dyspnea. Clinical, metabolic, vascular, and echocardiographic assessments were performed. HFpEF was assessed using a modified HFA-PEFF-based approach derived from the ESC-recommended diagnostic algorithm. We evaluated the impact of NT-proBNP thresholds on HFpEF classification and explored the relationship between NT-proBNP, echocardiographic diastolic dysfunction, and structural cardiac abnormalities. Results: The cohort displayed a high cardiometabolic burden (74.9%), and structural cardiac abnormalities were highly prevalent. Using a modified HFA-PEFF diagnostic algorithm, HFpEF was identified in 52.9% of patients. However, when the biomarker domain was excluded, 86.7% of patients remained within the intermediate-probability range. In an exploratory analysis, a cutoff of 700 pg/mL was identified as the cohort-adapted threshold with the best diagnostic balance and identified 19.8% patients as having HFpEF. Conclusions: Patients with CKD G3–G4 exhibited substantial structural and functional cardiovascular abnormalities despite no prior diagnosis of heart failure. HFpEF classification varied according to the NT-proBNP threshold applied, while NT-proBNP demonstrated limited discriminatory performance for echocardiographic diastolic dysfunction. These findings support the need for more refined and CKD-sensitive approaches for HFpEF characterization in this population.
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Stefan et al. (2026) conducted a cross-sectional in Chronic kidney disease (CKD) stages G3-G4 and NYHA II dyspnea. Modified HFA-PEFF diagnostic algorithm and NT-proBNP thresholds was evaluated on HFpEF classification. In patients with CKD G3-G4, HFpEF classification varied by NT-proBNP threshold, with a modified HFA-PEFF algorithm identifying 52.9% and a 700 pg/mL cutoff identifying 19.8%.
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