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Validation of heart failure algorithm for diagnosing heart failure with preserved ejection fraction: a meta‐analysis

The aim of the meta‐analysis was to generate a more comprehensive understanding of the HFA‐PEFF score in the diagnosis of heart failure with preserved ejection fraction (HFpEF) and to pose clues in the field of scientific and clinical practice. Electronic databases of PubMed, Web of Science, Cochran...

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Autores principales: Li, Shu, Zhu, Xiaomei, Zhang, Yunlong, Li, Fengjie, Guo, Shubin
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/PMC10375189/
https://www.ncbi.nlm.nih.gov/pubmed/37292053
http://dx.doi.org/10.1002/ehf2.14421
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author Li, Shu
Zhu, Xiaomei
Zhang, Yunlong
Li, Fengjie
Guo, Shubin
author_facet Li, Shu
Zhu, Xiaomei
Zhang, Yunlong
Li, Fengjie
Guo, Shubin
author_sort Li, Shu
collection PubMed
description The aim of the meta‐analysis was to generate a more comprehensive understanding of the HFA‐PEFF score in the diagnosis of heart failure with preserved ejection fraction (HFpEF) and to pose clues in the field of scientific and clinical practice. Electronic databases of PubMed, Web of Science, Cochrane Library, and Embase were systematically searched. Studies investigating the use of the HFA‐PEFF score to diagnose HFpEF were included. Pooled sensitivity, specificity, positive likelihood ratio (PLR) and negative Likelihood Ratio (NLR), diagnostic odds ratio (DOR), area under the curve of summary receiver operating characteristic, and superiority index were calculated. Five studies with 1521 participants were included in this meta‐analysis. In the pooled analysis of the ‘Rule‐out’ approach, the pooled sensitivity, specificity, PLR, NLR, and DOR were 0.98 (0.94, 1.00), 0.33 (0.08, 0.73), 1.5 (0.8, 2.5), 0.05 (0.02, 0.17), and 28 (6, 127). In the pooled analysis of the ‘Rule‐in’ approach, the pooled sensitivity and specificity, PLR, NLR, and DOR were 0.69 (0.62, 0.75), 0.87 (0.64, 0.96), 5.5 (1.8, 16.9), 0.35 (0.30, 0.41), and 16 (5, 50). This meta‐analysis indicates that the HFA‐PEFF algorithm showed acceptable specificity and sensitivity for the diagnosis and exclusion of HFpEF. More relevant studies on the diagnostic validity of the HFA‐PEFF score are needed in the future.
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spelling pubmed-103751892023-07-29 Validation of heart failure algorithm for diagnosing heart failure with preserved ejection fraction: a meta‐analysis Li, Shu Zhu, Xiaomei Zhang, Yunlong Li, Fengjie Guo, Shubin ESC Heart Fail Reviews The aim of the meta‐analysis was to generate a more comprehensive understanding of the HFA‐PEFF score in the diagnosis of heart failure with preserved ejection fraction (HFpEF) and to pose clues in the field of scientific and clinical practice. Electronic databases of PubMed, Web of Science, Cochrane Library, and Embase were systematically searched. Studies investigating the use of the HFA‐PEFF score to diagnose HFpEF were included. Pooled sensitivity, specificity, positive likelihood ratio (PLR) and negative Likelihood Ratio (NLR), diagnostic odds ratio (DOR), area under the curve of summary receiver operating characteristic, and superiority index were calculated. Five studies with 1521 participants were included in this meta‐analysis. In the pooled analysis of the ‘Rule‐out’ approach, the pooled sensitivity, specificity, PLR, NLR, and DOR were 0.98 (0.94, 1.00), 0.33 (0.08, 0.73), 1.5 (0.8, 2.5), 0.05 (0.02, 0.17), and 28 (6, 127). In the pooled analysis of the ‘Rule‐in’ approach, the pooled sensitivity and specificity, PLR, NLR, and DOR were 0.69 (0.62, 0.75), 0.87 (0.64, 0.96), 5.5 (1.8, 16.9), 0.35 (0.30, 0.41), and 16 (5, 50). This meta‐analysis indicates that the HFA‐PEFF algorithm showed acceptable specificity and sensitivity for the diagnosis and exclusion of HFpEF. More relevant studies on the diagnostic validity of the HFA‐PEFF score are needed in the future. John Wiley and Sons Inc. 2023-06-09 /pmc/articles/PMC10375189/ /pubmed/37292053 http://dx.doi.org/10.1002/ehf2.14421 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 Reviews
Li, Shu
Zhu, Xiaomei
Zhang, Yunlong
Li, Fengjie
Guo, Shubin
Validation of heart failure algorithm for diagnosing heart failure with preserved ejection fraction: a meta‐analysis
title Validation of heart failure algorithm for diagnosing heart failure with preserved ejection fraction: a meta‐analysis
title_full Validation of heart failure algorithm for diagnosing heart failure with preserved ejection fraction: a meta‐analysis
title_fullStr Validation of heart failure algorithm for diagnosing heart failure with preserved ejection fraction: a meta‐analysis
title_full_unstemmed Validation of heart failure algorithm for diagnosing heart failure with preserved ejection fraction: a meta‐analysis
title_short Validation of heart failure algorithm for diagnosing heart failure with preserved ejection fraction: a meta‐analysis
title_sort validation of heart failure algorithm for diagnosing heart failure with preserved ejection fraction: a meta‐analysis
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375189/
https://www.ncbi.nlm.nih.gov/pubmed/37292053
http://dx.doi.org/10.1002/ehf2.14421
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