Evidence map›Paper›PMID 37321596›Full record

ArticleESC heart failure2023

Haemodynamic validation of the three-step HFA-PEFF algorithm to diagnose heart failure with preserved ejection fraction.

Ettore Lanzarone, Claudia Baratto, Marco Vicenzi, Francesco Villella, Irene Rota, Céline Dewachter, Denisa Muraru, Michele Tomaselli, Mara Gavazzoni, Luigi P Badano and 4 more

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Discordance between left atrial pressure and risk scores in assessment of heart failure with preserved ejection fraction in patients with atrial fibrillation undergoing catheter ablation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  4. Article
  5. ANMCO position paper: diagnosis and treatment of heart failure with preserved systolic function.European heart journal supplements : journal of the European Society of Cardiology · 2025
    Article
  6. 2024 update in heart failure.ESC heart failure · 2025
    Review
  7. Review
  8. Heart failure with preserved ejection fraction: diagnosis, risk assessment, and treatment.Clinical research in cardiology : official journal of the German Cardiac Society · 2024
    Review
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 8 institutions in 2 countries.

Ettore LanzaroneDepartment of Management, Information and Production Engineering, University of Bergamo, Dalmine, Italy.
Claudia BarattoDepartment of Cardiology, Istituto Auxologico Italiano IRCCS, Ospedale San Luca, Piazzale Brescia 20, Milan, 20149, Italy.
Marco VicenziDepartment of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
Francesco VillellaDepartment of Cardiology, Istituto Auxologico Italiano IRCCS, Ospedale San Luca, Piazzale Brescia 20, Milan, 20149, Italy.
Irene RotaUOC Cardiologia, Ospedale Civile di Legnano, ASST Ovest Milanese, Milan, Italy.
Céline DewachterDepartment of Cardiology, Cliniques Universitaires de Bruxelles, Hôpital Académique Erasme, Bruxelles, Belgium.
Denisa MuraruDepartment of Cardiology, Istituto Auxologico Italiano IRCCS, Ospedale San Luca, Piazzale Brescia 20, Milan, 20149, Italy.
Michele TomaselliDepartment of Cardiology, Istituto Auxologico Italiano IRCCS, Ospedale San Luca, Piazzale Brescia 20, Milan, 20149, Italy.
Mara GavazzoniDepartment of Cardiology, Istituto Auxologico Italiano IRCCS, Ospedale San Luca, Piazzale Brescia 20, Milan, 20149, Italy.
Luigi P BadanoDepartment of Cardiology, Istituto Auxologico Italiano IRCCS, Ospedale San Luca, Piazzale Brescia 20, Milan, 20149, Italy.
Michele SenniDepartment of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
Jean-Luc VachiéryDepartment of Cardiology, Cliniques Universitaires de Bruxelles, Hôpital Académique Erasme, Bruxelles, Belgium.
Gianfranco ParatiDepartment of Cardiology, Istituto Auxologico Italiano IRCCS, Ospedale San Luca, Piazzale Brescia 20, Milan, 20149, Italy.
Sergio CaravitaDepartment of Management, Information and Production Engineering, University of Bergamo, Dalmine, Italy.
IRCCS Istituto Auxologico Italiano · ITUniversity of Milano-Bicocca · ITUniversity of Bergamo · ITAzienda Ospedaliera Ospedale Civile di Legnano · ITErasmus Hospital · BEFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITOspedale Papa Giovanni XXIII · ITUniversité Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe 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

resultsSeventy-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'.

conclusionsAs 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.

Indexed as

Heart FailureAlgorithmsDyspneaHemodynamicsHumansNatriuretic PeptidesStroke VolumeNatriuretic PeptidesEchocardiographyExerciseHaemodynamicsHFA-PEFF algorithmHFpEF

Identifiers

PMID37321596
PMCPMC10375124
OpenAlexW4380853232

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.