The HFA‐PEFF and H 2 FPEF scores largely disagree in classifying patients with suspected heart failure with preserved ejection fraction

The H2FPEF and HFA-PEFF scores have recently been proposed to solve the clinical dilemma of diagnosing heart failure with preserved ejection fraction (HFpEF).1, 2 The H2FPEF score includes four clinical age, body mass index (BMI), atrial fibrillation (AF) and hypertension and two echocardiographic items (E/e′ and right ventricular pressure). The HFA-PEFF score contains minor and major criteria within three domains: functional (E/e′, e′, tricuspid regurgitation velocity, global longitudinal strain), morphological (left atrial volume index and parameters reflecting left ventricular hypertrophy) and natriuretic peptides. A H2FPEF score ≥6 or a HFA-PEFF ≥5 points is considered diagnostic of HFpEF. A H2FPEF score of 2–5 or a HFA-PEFF of 2–4 points classifies patients as having an intermediate likelihood of HFpEF wherein invasive haemodynamic evaluation — preferably with exercise — or exercise echocardiography is proposed by the authors.1, 2 Two studies validated each score separately in Western populations.3, 4 Recently in this Journal, the two scores showed rather comparable diagnostic performance in an Asian case-control cohort, although lower than in the cited Western populations.5 Both scores were predictive of adverse outcome in a Western population, although the risk prediction was very discordant between the two.6 We hypothesized that the two scores classify a significant proportion of suspected HFpEF patients differently in terms of likelihood categories. We calculated the absolute H2FPEF and HFA-PEFF scores1, 2 and their likelihood categories (Figure 1) in 363 consecutive patients with suspected HFpEF. In summary, all patients from our outpatient HFpEF clinic (2015–2019) with a left ventricular ejection fraction (LVEF) of ≥50% were included prospectively and underwent a comprehensive one-day diagnostic work-up including echocardiography, blood, exercise, and pulmonary function testing, sleep apnoea screening and Holter.4 Exclusion criteria were: previously reduced LVEF HFA-PEFF) most often suffered from AF (82.0% vs. 14.0% and 61%, P 0.20). The HFA-PEFF and H2FPEF score opened a new era in the diagnosis of HFpEF by substituting the classical binary diagnostic approach with a likelihood estimation of HFpEF. As shown by this report and others, the high-likelihood cut-off of either score is quite accurate to diagnose HFpEF, while sensitivity is limited.3, 5 Both scores assign a substantial proportion of suspected HFpEF patients as intermediate likelihood, wherein additional diagnostics are proposed. Arbitrarily, 41% of suspected HFpEF patients are classified differently by one vs. the other score. Thus, depending on which score is used, completely different patients will be referred for additional testing or allocated as having HFpEF. This limits the clinical applicability of the scores and demonstrates the ongoing diagnostic uncertainty in HFpEF. As expected, AF and BMI were main drivers of the discrepancy between the scores — being key items of the H2FPEF score whilst AF raises thresholds for HFpEF in the HFA-PEFF score. Despite age affecting the scores in different directions, it was not related to discrepant classification. NT-proBNP was highest when the two scores agreed, although it is only included in the HFA-PEFF score. It strengthens our study that it is performed in a prospective, consecutive cohort. It included a rather selected population, yet both scores were actually designed to be used after a pre-test assessment to raise pre-test probability. We recognize that the considered gold standard of invasive haemodynamic testing was not applied to all patients. This cohort is however a reflection of clinical reality and our protocol included all fundamental elements of HFpEF and its differential diagnosis. In conclusion, until a more uniform and accurate classification is available, the H2FPEF and HFA-PEFF scores can be used for estimating HFpEF likelihood whilst keeping in mind the large discrepancy between them. Combining the two can be insightful in daily practice and is currently applied in our specialized centre. This work was funded by Health Foundation Limburg and by the Netherlands Cardiovascular Research Initiative with support from the Dutch Heart Foundation (CVON-Early HFpEF 2015-10; CVON-She Predicts 2017-21, VvE and SH). Sandra Sanders-van Wijk was supported by a research fellowship from the Netherlands Heart Institute. We acknowledge support from the IMI2-CARDIATEAM (N° 821508). Conflict of interest: S.S.v.W. and H.P.B.L.R. received unrestricted reseach support and speaker fees from Roche Diagnostics. All other authors have nothing to dosclose. Table S1. Baseline characteristics of HFpEF vs. non-HFpEF patients Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.