Webtool to enhance the accuracy of diagnostic algorithms for HFpEF: a prospective cross‐over study

Author:

Weerts Jerremy1ORCID,Amin Hesam12,Barandiarán Aizpurua Arantxa1ORCID,Gevaert Andreas B.34ORCID,Handoko M. Louis56ORCID,Dauw Jeroen7ORCID,Tun Han Naung8ORCID,Rommel Karl‐Philipp9,Verbrugge Frederik H.1011ORCID,Kresoja Karl‐Patrik9ORCID,Sanders‐van Wijk Sandra12,Brunner‐La Rocca Hans‐Peter1ORCID,Bayés‐Genís Antoni13ORCID,Lumens Joost14ORCID,Knackstedt Christian1,van Empel Vanessa P.M.1

Affiliation:

1. Department of Cardiology Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre+ (MUMC+) PO Box 616 6200 MD Maastricht The Netherlands

2. Department of Cardiology Thoraxcentrum Twente, Medisch Spectrum Twente Enschede The Netherlands

3. Research Group Cardiovascular Diseases, GENCOR Department University of Antwerp Antwerp Belgium

4. Department of Cardiology Antwerp University Hospital (UZA) Edegem Belgium

5. Department of Cardiology Amsterdam University Medical Centers, Vrije Universiteit Amsterdam The Netherlands

6. Amsterdam Cardiovascular Sciences/Heart Failure and Arrhythmias Amsterdam The Netherlands

7. Department of Cardiology AZ Sint‐Lucas Ghent Belgium

8. Larner College of Medicine University of Vermont Burlington VT USA

9. Department of Internal Medicine/Cardiology Heart Center Leipzig, Leipzig University Leipzig Germany

10. Centre for Cardiovascular Diseases University Hospital Brussels Jette Belgium

11. Faculty of Medicine and Pharmacy Vrije Universiteit Brussel Brussels Belgium

12. Department of Cardiology Zuyderland Medical Center Heerlen Heerlen The Netherlands

13. Heart Institute, Hospital Universitari Germans Trias I Pujol, CIBERCV Badalona Spain

14. Department of Biomedical Engineering Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Maastricht The Netherlands

Abstract

AbstractAimsDiagnosis of heart failure with preserved ejection fraction (HFpEF) can be challenging. This study aimed to evaluate the potential of a webtool to enhance the scoring accuracy when applying the complex HFA‐PEFF and H2FPEF algorithms, which are commonly used for diagnosing HFpEF.Methods and resultsWe developed an online tool, the HFpEF calculator, that enables the automatic calculation of current HFpEF algorithms. We assessed the accuracy of manual vs. automatic scoring, defined as the percentage of correct scores, in a cohort of cardiologists with varying clinical experience. Cardiologists scored eight online clinical cases using a triple cross‐over design (i.e. two manual–two automatic–two manual–two automatic). Data were analysed in study completers (n = 55, 29% heart failure specialists, 42% general cardiologists, and 29% cardiology residents). Manually calculated scores were correct in 50% (HFA‐PEFF: 50% [50–75]; H2FPEF: 50% [38–50]). Correct scoring improved to 100% using the HFpEF calculator (HFA‐PEFF: 100% [88–100], P < 0.001; H2FPEF: 100% [75–100], P < 0.001). Time spent on clinical cases was similar between scoring methods (±4 min). When corrections for faulty algorithm scores were displayed, cardiologists changed their diagnostic decision in up to 67% of cases. At least 67% of cardiologists preferred using the online tool for future cases in clinical practice.ConclusionsManual calculation of HFpEF diagnostic algorithms is often inaccurate. Using an automated webtool to calculate HFpEF algorithms significantly improved correct scoring. This new approach may impact the eventual diagnostic decision in up to two‐thirds of cases, supporting its routine use in clinical practice.

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine

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