Haemodynamic validation of the three-step HFA-PEFF algorithm to diagnose heart failure with preserved ejection fraction
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Updated: Jul 26, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
Ettore Lanzarone1, Claudia Baratto2, Marco Vicenzi3,4
1Department of Management, Information and Production Engineering, University of Bergamo, Dalmine, Italy.
Insights
The Heart Failure Association-Pre-test assessment, Echocardiography and natriuretic peptide score, Functional testing in cases of uncertainty, Final aetiology (HFA-PEFF) algorithm shows low sensitivity for diagnosing heart failure with preserved ejection fraction (HFpEF). Many patients were misclassified after non-invasive testing.
Area of Science:
- Cardiology
- Diagnostic Algorithms
- Heart Failure Research
Background:
- Heart failure with preserved ejection fraction (HFpEF) diagnosis can be challenging.
- The HFA-PEFF algorithm offers a stepwise approach to diagnose HFpEF.
- Validation against invasive hemodynamics is crucial for diagnostic tools.
Purpose of the Study:
- To validate the three-step HFA-PEFF algorithm against a gold-standard hemodynamic diagnosis of HFpEF.
- To assess the diagnostic performance of the HFA-PEFF algorithm in patients with exertional dyspnea.
- To evaluate the role of diastolic stress echocardiography (DSE) and left atrial strain in HFpEF diagnosis.
Main Methods:
- Seventy-three patients with exertional dyspnea underwent the HFA-PEFF algorithm, including DSE.
- Rest and exercise right heart catheterization (RHC) served as the hemodynamic reference standard.
- Diagnostic performance metrics (sensitivity, specificity) were calculated for the HFA-PEFF score and its components.
Main Results:
- The HFA-PEFF algorithm showed low sensitivity (45-46%) for diagnosing HFpEF compared to RHC.
- A significant proportion of patients (50%) were misclassified as non-cardiac dyspnea after non-invasive testing.
- Diastolic stress echocardiography had a minimal impact on modifying HFpEF likelihood in uncertain cases.
Conclusions:
- The HFA-PEFF algorithm, while structured, demonstrates insufficient sensitivity for accurately diagnosing HFpEF.
- Non-invasive assessments using the HFA-PEFF algorithm may lead to misclassification of HFpEF.
- Further refinement of non-invasive diagnostic strategies for HFpEF is warranted.
Aims:
The HFA-PEFF algorithm (Heart Failure Association-Pre-test assessment, Echocardiography and natriuretic peptide score, Functional testing in cases of uncertainty, Final aetiology) is a three-step algorithm to diagnose heart failure with preserved ejection fraction (HFpEF). It provides a three-level likelihood of HFpEF: low (score < 2), intermediate (score 2-4), or high (score > 4). HFpEF may be confirmed in individuals with a score > 4 (rule-in approach). The second step of the algorithm is based on echocardiographic features and natriuretic peptide levels. The third step implements diastolic stress echocardiography (DSE) for controversial diagnostic cases. We sought to validate the three-step HFA-PEFF algorithm against a haemodynamic diagnosis of HFpEF based on rest and exercise right heart catheterization (RHC).
Methods And Results:
Seventy-three individuals with exertional dyspnoea underwent a full diagnostic work-up following the HFA-PEFF algorithm, including DSE and rest/exercise RHC. The association between the HFA-PEFF score and a haemodynamic diagnosis of HFpEF, as well as the diagnostic performance of the HFA-PEFF algorithm vs. RHC, was assessed. The diagnostic performance of left atrial (LA) strain < 24.5% and LA strain/E/E' < 3% was also assessed. The probability of HFpEF was low/intermediate/high in 8%/52%/40% of individuals at the second step of the HFA-PEFF algorithm and 8%/49%/43% at the third step. After RHC, 89% of patients were diagnosed as HFpEF and 11% as non-cardiac dyspnoea. The HFA-PEFF score resulted associated with the invasive haemodynamic diagnosis of HFpEF (P < 0.001). Sensitivity and specificity of the HFA-PEFF score for the invasive haemodynamic diagnosis of HFpEF were 45% and 100% for the second step of the algorithm and 46% and 88% for the third step of the algorithm. Neither age, sex, body mass index, obesity, chronic obstructive pulmonary disease, or paroxysmal atrial fibrillation influenced the performance of the HFA-PEFF algorithm, as these characteristics were similarly distributed over the true positive, true negative, false positive, and false negative cases. Sensitivity of the second step of the HFA-PEFF score was non-significantly improved to 60% (P = 0.08) by lowering the rule-in threshold to >3. LA strain alone had a sensitivity and specificity of 39% and 14% for haemodynamic HFpEF, increasing to 55% and 22% when corrected for E/E'.
Conclusions:
As compared with rest/exercise RHC, the HFA-PEFF score lacks sensitivity: Half of the patients were wrongly classified as non-cardiac dyspnoea after non-invasive tests, with a minimal impact of DSE in modifying HFpEF likelihood.
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