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Echocardiographic Diastolic Function Grading in HFpEF: Testing the Updated 2025 ASE Criteria.

Journal of the American College of Cardiology2026-01-15PubMed
Total: 87.0Innovation: 9Impact: 0Rigor: 0Citation: 0

Summary

In invasively proven HFpEF, the 2025 ASE diastolic function algorithm frequently labeled patients as normal or Grade 1 despite elevated resting PAWP and showed poor sensitivity of its stress criteria (false-negative rate 90.5%). Discrimination versus noncardiac dyspnea was limited (AUC 0.61), indicating the algorithm should not be used in isolation to exclude HFpEF.

Key Findings

  • Among ambulatory HFpEF, 32.8% graded normal and 34.8% Grade 1 despite invasive HFpEF; over 60% of normal/Grade 1 had resting PAWP ≥15 mm Hg.
  • ASE-recommended stress criteria identified only 9.5% of Grade 1 cases (false-negative rate 90.5%).
  • Discrimination vs noncardiac dyspnea was modest (AUC 0.61); patients labeled normal/Grade 1 had a 5.37-fold higher risk of death/HF hospitalization vs controls.

Clinical Implications

Do not rely solely on ASE 2025 diastolic grades to rule out HFpEF. Integrate pretest probability, invasive or exercise hemodynamics when appropriate, and HFpEF-specific diagnostic frameworks to avoid missed diagnoses.

Why It Matters

Challenges a newly proposed diagnostic standard with invasive reference, revealing substantial false negatives that could misclassify HFpEF. This is a practice-informing negative result likely to influence guideline interpretation and clinical workflows.

Limitations

  • Observational diagnostic evaluation; not randomized or interventional.
  • Generalizability may vary across labs and imaging protocols; algorithm-specific assessment.

Future Directions

Develop HFpEF-specific diagnostic pathways integrating exercise hemodynamics and machine-learning phenotyping; prospectively test patient-centered outcomes when using alternative frameworks.

Study Information

Study Type
Cohort
Research Domain
Diagnosis
Evidence Level
II - Prospective cohort with invasive gold standard and external validation
Study Design
OTHER