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

AIMS: Diagnosis 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 H(2)FPEF algorithms, which are commonly used for diagnosing HFpEF. METHODS AND...

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Autores principales: Weerts, Jerremy, Amin, Hesam, Barandiarán Aizpurua, Arantxa, Gevaert, Andreas B., Handoko, M. Louis, Dauw, Jeroen, Tun, Han Naung, Rommel, Karl‐Philipp, Verbrugge, Frederik H., Kresoja, Karl‐Patrik, Sanders‐van Wijk, Sandra, Brunner‐La Rocca, Hans‐Peter, Bayés‐Genís, Antoni, Lumens, Joost, Knackstedt, Christian, van Empel, Vanessa P.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682885/
https://www.ncbi.nlm.nih.gov/pubmed/37724334
http://dx.doi.org/10.1002/ehf2.14525
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author Weerts, Jerremy
Amin, Hesam
Barandiarán Aizpurua, Arantxa
Gevaert, Andreas B.
Handoko, M. Louis
Dauw, Jeroen
Tun, Han Naung
Rommel, Karl‐Philipp
Verbrugge, Frederik H.
Kresoja, Karl‐Patrik
Sanders‐van Wijk, Sandra
Brunner‐La Rocca, Hans‐Peter
Bayés‐Genís, Antoni
Lumens, Joost
Knackstedt, Christian
van Empel, Vanessa P.M.
author_facet Weerts, Jerremy
Amin, Hesam
Barandiarán Aizpurua, Arantxa
Gevaert, Andreas B.
Handoko, M. Louis
Dauw, Jeroen
Tun, Han Naung
Rommel, Karl‐Philipp
Verbrugge, Frederik H.
Kresoja, Karl‐Patrik
Sanders‐van Wijk, Sandra
Brunner‐La Rocca, Hans‐Peter
Bayés‐Genís, Antoni
Lumens, Joost
Knackstedt, Christian
van Empel, Vanessa P.M.
author_sort Weerts, Jerremy
collection PubMed
description AIMS: Diagnosis 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 H(2)FPEF algorithms, which are commonly used for diagnosing HFpEF. METHODS AND RESULTS: We 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]; H(2)FPEF: 50% [38–50]). Correct scoring improved to 100% using the HFpEF calculator (HFA‐PEFF: 100% [88–100], P < 0.001; H(2)FPEF: 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. CONCLUSIONS: Manual 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.
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spelling pubmed-106828852023-11-30 Webtool to enhance the accuracy of diagnostic algorithms for HFpEF: a prospective cross‐over study Weerts, Jerremy Amin, Hesam Barandiarán Aizpurua, Arantxa Gevaert, Andreas B. Handoko, M. Louis Dauw, Jeroen Tun, Han Naung Rommel, Karl‐Philipp Verbrugge, Frederik H. Kresoja, Karl‐Patrik Sanders‐van Wijk, Sandra Brunner‐La Rocca, Hans‐Peter Bayés‐Genís, Antoni Lumens, Joost Knackstedt, Christian van Empel, Vanessa P.M. ESC Heart Fail Original Articles AIMS: Diagnosis 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 H(2)FPEF algorithms, which are commonly used for diagnosing HFpEF. METHODS AND RESULTS: We 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]; H(2)FPEF: 50% [38–50]). Correct scoring improved to 100% using the HFpEF calculator (HFA‐PEFF: 100% [88–100], P < 0.001; H(2)FPEF: 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. CONCLUSIONS: Manual 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. John Wiley and Sons Inc. 2023-09-19 /pmc/articles/PMC10682885/ /pubmed/37724334 http://dx.doi.org/10.1002/ehf2.14525 Text en © 2023 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Weerts, Jerremy
Amin, Hesam
Barandiarán Aizpurua, Arantxa
Gevaert, Andreas B.
Handoko, M. Louis
Dauw, Jeroen
Tun, Han Naung
Rommel, Karl‐Philipp
Verbrugge, Frederik H.
Kresoja, Karl‐Patrik
Sanders‐van Wijk, Sandra
Brunner‐La Rocca, Hans‐Peter
Bayés‐Genís, Antoni
Lumens, Joost
Knackstedt, Christian
van Empel, Vanessa P.M.
Webtool to enhance the accuracy of diagnostic algorithms for HFpEF: a prospective cross‐over study
title Webtool to enhance the accuracy of diagnostic algorithms for HFpEF: a prospective cross‐over study
title_full Webtool to enhance the accuracy of diagnostic algorithms for HFpEF: a prospective cross‐over study
title_fullStr Webtool to enhance the accuracy of diagnostic algorithms for HFpEF: a prospective cross‐over study
title_full_unstemmed Webtool to enhance the accuracy of diagnostic algorithms for HFpEF: a prospective cross‐over study
title_short Webtool to enhance the accuracy of diagnostic algorithms for HFpEF: a prospective cross‐over study
title_sort webtool to enhance the accuracy of diagnostic algorithms for hfpef: a prospective cross‐over study
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682885/
https://www.ncbi.nlm.nih.gov/pubmed/37724334
http://dx.doi.org/10.1002/ehf2.14525
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