Evidence map›Paper›PMID 42310780›Full record

ArticleOrphanet journal of rare diseases2026

Multimodal phenotypic clustering predicts cardiac outcomes in Fabry disease.

Elad Shemesh, Paul Feigin, Chong Yew Tan, Rosemary Rusk, Deepa Gopalan, Patrick Deegan

Abstract read
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Article in Orphanet journal of rare diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Elad ShemeshPopulation Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Canada. shemeshe@mcmaster.ca.ORCID http://orcid.org/0000-0003-1162-2991
Paul FeiginTechnion- Israel Institute of Technology, Haifa, Israel.
Chong Yew TanLysosomal Disorders Unit, Cambridge University Hospitals NHS Trust, Cambridge, UK.
Rosemary RuskDepartment of Cardiology, Cambridge University Hospitals NHS Trust, Cambridge, UK.
Deepa GopalanDepartment of Radiology, Cambridge University Hospitals NHS Trust, Cambridge, UK.
Patrick DeeganLysosomal Disorders Unit, Cambridge University Hospitals NHS Trust, Cambridge, UK.

Funding

Academy of Medical Sciences DTTFR11\100075European Society of Cardiology European Society of CardiologyIsrael Academy of Sciences and Humanities Israel Academy of Sciences and Humanities
6 · The paper itself

Abstract

backgroundFabry disease (FD) is a rare lysosomal storage disorder with cardiac involvement. The efficacy of cardiac assessments in predicting disease progression is uncertain and few long-term studies have evaluated a clinically comprehensive approach in tracking cardiac outcomes. We developed a multi-modal framework integrating sex, genetics, clinical assessments, electrocardiography (ECG), imaging, and biomarkers to characterize the progression of cardiac involvement in FD and assess the predictive value of each modality for adverse cardiovascular outcomes.

resultsOur cohort encompassed 525 "visit years" across 98 participants (60 females; 60 with classic mutations; mean age at presentation: 42.5 ± 17). We defined four cardiac phenotypic clusters (CPC): abnormal ECG, elevated cardiac biomarkers, left ventricular hypertrophy (LVH) (by echocardiography or cardiac magnetic resonance [CMR]), and late gadolinium enhancement (LGE) (by CMR). The primary outcome was a composite of cardiac hospitalization, device implantation, or cardiovascular/cerebrovascular death. A CPC progression map was plotted, outlining the course of events in FD cardiomyopathy, where changes in ECG and the occurrence of hypertrophy precede increase in cardiac biomarkers and the formation of LGE. Mutation type (classic vs. late-onset) and sex (female vs. male) showed a significant link with a composite outcome of cardiac-related hospitalizations, device implantations (defibrillator/pacemaker), and cardiovascular or cerebrovascular mortality [Hazard ratio, HR (95% confidence interval, CI, p-value): 12.8 (3.5,46.7), p = 0.0001 and 0.09 (0.03,0.33), p = 0.0002, respectively]. The presence of LGE CPC was associated with an increased likelihood of encountering the composite outcome.

conclusionsWe propose a readily-applied "4 domain CPC" model, that can be routinely used in clinical practice, as a prospective "guide-map" for FD cardiomyopathy progression. Its utility is demonstrated in showing the expected role of sex, mutation and CMR findings in the cardiac trajectory of FD.

Indexed as

Fabry DiseaseAdultEchocardiographyElectrocardiographyFemaleHumansHypertrophy, Left VentricularMaleMiddle AgedPhenotypeCardiomyopathyFabryHeart failure

Identifiers

PMID42310780
PMCPMC13528081

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.