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Opportunistic screening models for high-risk men and women to detect diastolic dysfunction and heart failure with preserved ejection fraction in the community
BACKGROUND: The prevalence of undetected left ventricular diastolic dysfunction is high, especially in the elderly with comorbidities. Left ventricular diastolic dysfunction is a prognostic indicator of heart failure, in particularly of heart failure with preserved ejection fraction and of future ca...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6431757/ https://www.ncbi.nlm.nih.gov/pubmed/30482050 http://dx.doi.org/10.1177/2047487318816774 |
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author | Gohar, Aisha Kievit, Rogier F Valstar, Gideon B Hoes, Arno W Van Riet, Evelien E van Mourik, Yvonne Bertens, Loes C Boonman-Winter, Leandra J Bots, Michiel L Den Ruijter, Hester M Rutten, Frans H |
author_facet | Gohar, Aisha Kievit, Rogier F Valstar, Gideon B Hoes, Arno W Van Riet, Evelien E van Mourik, Yvonne Bertens, Loes C Boonman-Winter, Leandra J Bots, Michiel L Den Ruijter, Hester M Rutten, Frans H |
author_sort | Gohar, Aisha |
collection | PubMed |
description | BACKGROUND: The prevalence of undetected left ventricular diastolic dysfunction is high, especially in the elderly with comorbidities. Left ventricular diastolic dysfunction is a prognostic indicator of heart failure, in particularly of heart failure with preserved ejection fraction and of future cardiovascular and all-cause mortality. Therefore we aimed to develop sex-specific diagnostic models to enable the early identification of men and women at high-risk of left ventricular diastolic dysfunction with or without symptoms of heart failure who require more aggressive preventative strategies. DESIGN: Individual patient data from four primary care heart failure-screening studies were analysed (1371 participants, excluding patients classified as heart failure and left ventricular ejection fraction <50%). METHODS: Eleven candidate predictors were entered into logistic regression models to be associated with the presence of left ventricular diastolic dysfunction/heart failure with preserved ejection fraction in men and women separately. Internal-external cross-validation was performed to develop and validate the models. RESULTS: Increased age and β-blocker therapy remained as predictors in both the models for men and women. The model for men additionally consisted of increased body mass index, moderate to severe shortness of breath, increased pulse pressure and history of ischaemic heart disease. The models performed moderately and similarly well in men (c-statistics range 0.60–0.75) and women (c-statistics range 0.51–0.76) and the performance improved significantly following the addition of N-terminal pro b-type natriuretic peptide (c-statistics range 0.61–0.80 in women and 0.68–0.80 in men). CONCLUSIONS: We provide an easy-to-use screening tool for use in the community, which can improve the early detection of left ventricular diastolic dysfunction/heart failure with preserved ejection fraction in high-risk men and women and optimise tailoring of preventive interventions. |
format | Online Article Text |
id | pubmed-6431757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-64317572019-04-15 Opportunistic screening models for high-risk men and women to detect diastolic dysfunction and heart failure with preserved ejection fraction in the community Gohar, Aisha Kievit, Rogier F Valstar, Gideon B Hoes, Arno W Van Riet, Evelien E van Mourik, Yvonne Bertens, Loes C Boonman-Winter, Leandra J Bots, Michiel L Den Ruijter, Hester M Rutten, Frans H Eur J Prev Cardiol Risk Prediction BACKGROUND: The prevalence of undetected left ventricular diastolic dysfunction is high, especially in the elderly with comorbidities. Left ventricular diastolic dysfunction is a prognostic indicator of heart failure, in particularly of heart failure with preserved ejection fraction and of future cardiovascular and all-cause mortality. Therefore we aimed to develop sex-specific diagnostic models to enable the early identification of men and women at high-risk of left ventricular diastolic dysfunction with or without symptoms of heart failure who require more aggressive preventative strategies. DESIGN: Individual patient data from four primary care heart failure-screening studies were analysed (1371 participants, excluding patients classified as heart failure and left ventricular ejection fraction <50%). METHODS: Eleven candidate predictors were entered into logistic regression models to be associated with the presence of left ventricular diastolic dysfunction/heart failure with preserved ejection fraction in men and women separately. Internal-external cross-validation was performed to develop and validate the models. RESULTS: Increased age and β-blocker therapy remained as predictors in both the models for men and women. The model for men additionally consisted of increased body mass index, moderate to severe shortness of breath, increased pulse pressure and history of ischaemic heart disease. The models performed moderately and similarly well in men (c-statistics range 0.60–0.75) and women (c-statistics range 0.51–0.76) and the performance improved significantly following the addition of N-terminal pro b-type natriuretic peptide (c-statistics range 0.61–0.80 in women and 0.68–0.80 in men). CONCLUSIONS: We provide an easy-to-use screening tool for use in the community, which can improve the early detection of left ventricular diastolic dysfunction/heart failure with preserved ejection fraction in high-risk men and women and optimise tailoring of preventive interventions. SAGE Publications 2018-11-27 2019-04 /pmc/articles/PMC6431757/ /pubmed/30482050 http://dx.doi.org/10.1177/2047487318816774 Text en © The European Society of Cardiology 2018 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Risk Prediction Gohar, Aisha Kievit, Rogier F Valstar, Gideon B Hoes, Arno W Van Riet, Evelien E van Mourik, Yvonne Bertens, Loes C Boonman-Winter, Leandra J Bots, Michiel L Den Ruijter, Hester M Rutten, Frans H Opportunistic screening models for high-risk men and women to detect diastolic dysfunction and heart failure with preserved ejection fraction in the community |
title | Opportunistic screening models for high-risk men and women to detect diastolic dysfunction and heart failure with preserved ejection fraction in the community |
title_full | Opportunistic screening models for high-risk men and women to detect diastolic dysfunction and heart failure with preserved ejection fraction in the community |
title_fullStr | Opportunistic screening models for high-risk men and women to detect diastolic dysfunction and heart failure with preserved ejection fraction in the community |
title_full_unstemmed | Opportunistic screening models for high-risk men and women to detect diastolic dysfunction and heart failure with preserved ejection fraction in the community |
title_short | Opportunistic screening models for high-risk men and women to detect diastolic dysfunction and heart failure with preserved ejection fraction in the community |
title_sort | opportunistic screening models for high-risk men and women to detect diastolic dysfunction and heart failure with preserved ejection fraction in the community |
topic | Risk Prediction |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6431757/ https://www.ncbi.nlm.nih.gov/pubmed/30482050 http://dx.doi.org/10.1177/2047487318816774 |
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