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Centre","doi-asserted-by":"publisher","award":["NIHR203308"],"award-info":[{"award-number":["NIHR203308"]}],"id":[{"id":"10.13039\/100014653","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome commonly hypothesized to comprise discrete subtypes. This study aimed to characterize HFpEF heterogeneity using advanced data science techniques applied to deeply phenotyped, multi-modal cohorts.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and Results<\/jats:title>\n                    <jats:p>A total of 902 patients with HF and a left ventricular ejection fraction \u226550% were prospectively recruited and underwent detailed clinical, imaging, and genetic profiling. Clustering algorithms were first applied to derive discrete subgroups. To overcome rigid subgroup assignment, DDRTree was applied to map continuous phenotypic and outcome variation onto a two-dimensional tree. Genome-wide association studies (GWAS) identified variants associated with tree dimensions. Internal validation assessed stability, and external validation was conducted in a UK Biobank HFpEF cohort (n = 148). Sensitivity analyses included patients with mildly reduced ejection fraction (n = 1154). Logistic regression compared HFpEF with comorbidity-matched controls (n = 902). Whilst conventional clustering did not identify meaningful subgroups, DDRTree revealed a stable, interpretable tree structure, capturing continuous variation in cardiac structure and function, biomarkers and comorbidities. Over a median follow-up of 6.8 years, phenotypic complexes demonstrated differing risks of cardiovascular death, HF hospitalization, adverse renal outcome, and infection hospitalization. GWAS revealed a locus near CRACD associated with tree dimension one. Findings were reproducible in external and sensitivity analyses. A profile of cardiac and systemic characteristics that distinguish HFpEF from its associated comorbidities were identified.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>HFpEF risk and disease course reflect a variable interplay of pathophysiological processes in each individual. This study provides a biologically plausible framework to guide a more personalized approach to HFpEF.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/ejhf\/xuag056","type":"journal-article","created":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T12:48:12Z","timestamp":1772628492000},"source":"Crossref","is-referenced-by-count":3,"title":["Characterizing the heterogeneity of heart failure with preserved ejection fraction: moving beyond subgroups and distinguishing disease from risk"],"prefix":"10.1093","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2030-9761","authenticated-orcid":false,"given":"Fardad","family":"Soltani","sequence":"first","affiliation":[{"name":"Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester , Oxford Road, Manchester M13 9PL ,","place":["UK"]},{"name":"Manchester University NHS Foundation Trust Department of Cardiology, , 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