Publication:
Phenotypic Clustering Analysis of Patients Rejected for Mitral Valve Interventions: Implications for Future Transcatheter Technologies.

cris.virtualsource.author-orcide58d604d-1e1c-4387-94ae-cf69dd2a3ea3
datacite.rightsrestricted
dc.contributor.authorLudwig, Sebastian
dc.contributor.authorCoisne, Augustin
dc.contributor.authorHamzi, Kenza
dc.contributor.authorBen Ali, Walid
dc.contributor.authorScotti, Andrea
dc.contributor.authorKoell, Benedikt
dc.contributor.authorDuncan, Alison
dc.contributor.authorMakkar, Raj
dc.contributor.authorAkodad, Mariama
dc.contributor.authorBleiziffer, Sabine
dc.contributor.authorNickenig, Georg
dc.contributor.authorKaneko, Tsuyoshi
dc.contributor.authorRuge, Hendrik
dc.contributor.authorAdam, Matti
dc.contributor.authorSondergaard, Lars
dc.contributor.authorDahle, Gry
dc.contributor.authorTaramasso, Maurizio
dc.contributor.authorWalther, Thomas
dc.contributor.authorKempfert, Joerg
dc.contributor.authorObadia, Jean-François
dc.contributor.authorChehab, Omar
dc.contributor.authorTang, Gilbert H L
dc.contributor.authorGoel, Sachin
dc.contributor.authorFam, Neil
dc.contributor.authorDenti, Paolo
dc.contributor.authorPraz, Fabien
dc.contributor.authorvon Bardeleben, Ralph Stephan
dc.contributor.authorHausleiter, Jörg
dc.contributor.authorLatib, Azeem
dc.contributor.authorConradi, Lenard
dc.contributor.authorModine, Thomas
dc.contributor.authorPezel, Théo
dc.contributor.authorGranada, Juan F
dc.date.accessioned2025-05-30T13:16:49Z
dc.date.available2025-05-30T13:16:49Z
dc.date.issued2025-05-07
dc.description.abstractAims Although several treatment options are available for patients with severe mitral regurgitation (MR), a significant proportion of patients remain ineligible for any mitral valve (MV) intervention. We aimed to analyze the phenotypic characteristics of surgical high-risk patients ineligible for MV interventions using an unsupervised phenotypic clustering approach.Methods And Results Between 2014 and 2022, the CHOICE-MI registry included 984 patients with MR undergoing screening for transcatheter mitral valve replacement at 33 international sites. For this study, only patients with screening failure receiving medical therapy alone were included. Patients receiving transcatheter or surgical treatment were excluded. A cluster analysis using K-means was performed on baseline clinical, demographic, and imaging variables to identify different patient phenotypes. Among 284 patients with MR (77.4±8.82 years, 56.0% female, EuroSCORE II: 6.6±5.8%) considered ineligible for any MV intervention, two clinically distinct phenogroups (PG) were identified using unsupervised hierarchical clustering of principal components. PG1: elderly women with primary MR, preserved left ventricular function, and annular calcification; and PG2: patients with secondary MR, advanced heart failure, and high prevalence of comorbidities. One-year all-cause mortality did not differ between the phenogroups (PG1: 21.4%, PG2: 23.4%, p=0.89). Predictors of mortality were albumin, renal function, extracardiac arteriopathy for PG1, and albumin, coronary artery disease, and prior myocardial infarction for PG2.Conclusions This study identified two major subgroups among patients ineligible for mitral interventions showing profound differences in clinical and anatomical profiles. Identifying these factors may drive technological evolution to address the unmet clinical need for therapeutic options in MR patients.Clinicaltrials.gov Identifier NCT04688190 (CHOICE-MI Registry).
dc.description.sponsorshipClinic of Cardiology
dc.identifier.doi10.48620/88324
dc.identifier.pmid40329826
dc.identifier.publisherDOI10.1093/ehjci/jeaf141
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/210834
dc.language.isoen
dc.publisherOxford University Press
dc.relation.ispartofEuropean Heart Journal - Cardiovascular Imaging
dc.relation.issn2047-2412
dc.relation.issn2047-2404
dc.subjectclustering
dc.subjectmedical therapy
dc.subjectmitral regurgitation
dc.subjectnon-supervised machine learning
dc.subjecttranscatheter mitral valve replacement
dc.subject.ddc600 - Technology::610 - Medicine & health
dc.titlePhenotypic Clustering Analysis of Patients Rejected for Mitral Valve Interventions: Implications for Future Transcatheter Technologies.
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oairecerif.author.affiliationClinic of Cardiology
unibe.contributor.roleauthor
unibe.description.ispublishedinpress
unibe.refereedtrue
unibe.subtype.articlejournal

Files

Original bundle
Now showing 1 - 1 of 1
Name:
jeaf141.pdf
Size:
867.35 KB
Format:
Adobe Portable Document Format
File Type:
text
Content:
published

Collections