Sex-Specific Patterns of Left Ventricular Remodeling Using Regional Wall Thickness Data and Their Associations with Cardiovascular Disease Risk
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Abstract Background Left ventricular (LV) remodeling is associated with impaired cardiac function and future cardiovascular disease (CVD). Current remodeling definitions use broad categorizations based on hypertrophy and mean wall thickness. Cardiac magnetic resonance (CMR) imaging provides detailed characterization of regional myocardial wall properties, which may enhance sex-specific cardiovascular disease (CVD) risk stratification. Objectives We aimed to identify detailed LV remodeling patterns, their associations with CVD risk, and their clinical predictors. Methods LV wall thickness data were obtained by CMR in three independent population-based cohorts (SHIP-TREND-0, n=931; SHIP-START-2, n=490; KORA-FF4, n=368). Sex-specific remodeling patterns were identified by k-means clustering and associated with established CVD risk scores and incident morbidity and all-cause mortality. Bootstrapped multinomial regression with LASSO regularization was used to select relevant clinical predictors of remodeling patterns. Results The sample comprised 991 men (mean age 52.9 years, prevalent CVD 7.8%) and 798 women (52.5 years, 2%). Four remodeling clusters were found for men and women, respectively. For a subset of these clusters, significant associations with an increased CVD risk were found, e.g. in women, the high-risk cluster was associated with a 10.6 (95% confidence interval: 8.9, 12.3) percentage point increase in the 10-year Framingham Risk Score. Associations were independent of blood pressure and myocardial mass. Only in women, associations were also independent of average wall thickness and LV concentricity. Variable selection identified distinct clinical predictors of remodeling patterns. Conclusion Particularly in women, regional LV wall thickness patterns detect unfavorable cardiac remodeling and might improve CVD risk stratification beyond existing strategies. Automated implementation during image acquisition and integration with shape-based models may facilitate clinical application. Graphical Abstract
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Sex-Specific Patterns of Left Ventricular Remodeling Using Regional Wall Thickness Data and Their Associations with Cardiovascular Disease Risk
- Date Crossref
- 01/07/2026
- Éditeur
- openRxiv
- Type
- posted-content
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of Freiburg Department of Diagnostic and Interventional Radiology pays non établi dans la noticeUniversité ou école supérieure
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Zimmer Biomet (Netherlands) pays non établi dans la noticeEntreprise
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Helmholtz Munich pays non établi dans la noticeStructure de recherche
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German Centre for Cardiovascular Research pays non établi dans la noticeStructure de recherche
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Ludwig-Maximilians-Universität München pays non établi dans la noticeUniversité ou école supérieure
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Universitätsmedizin Greifswald pays non établi dans la noticeÉtablissement de santé
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LMU Klinikum pays non établi dans la noticeÉtablissement de santé
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Deutsches Diabetes-Zentrum e.V. pays non établi dans la noticeStructure de recherche
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German Center for Diabetes Research pays non établi dans la noticeStructure de recherche
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Heinrich Heine University Düsseldorf pays non établi dans la noticeUniversité ou école supérieure
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Ludwig-Maximilians-University München Department of Epidemiology pays non établi dans la noticeUniversité ou école supérieure
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Institute of Epidemiology pays non établi dans la noticeStructure de recherche
Department of Diagnostic and Interventional Radiology — University of Freiburg, Zimmer Biomet (Netherlands) et Helmholtz Munich, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.