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  • Kobayashi, MasatakeUniversity Hospital of Nancy (author)

Machine Learning-Derived Echocardiographic Phenotypes Predict Heart Failure Incidence in Asymptomatic Individuals

  • Article/chapterEnglish2022

Publisher, publication year, extent ...

  • Elsevier BV,2022

Numbers

  • LIBRIS-ID:oai:lup.lub.lu.se:b3894f90-0c70-470d-a1eb-53e8cd1e5049
  • https://lup.lub.lu.se/record/b3894f90-0c70-470d-a1eb-53e8cd1e5049URI
  • https://doi.org/10.1016/j.jcmg.2021.07.004DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • OBJECTIVES: This study sought to identify homogenous echocardiographic phenotypes in community-based cohorts and assess their association with outcomes.BACKGROUND: Asymptomatic cardiac dysfunction leads to a high risk of long-term cardiovascular morbidity and mortality; however, better echocardiographic classification of asymptomatic individuals remains a challenge.METHODS: Echocardiographic phenotypes were identified using K-means clustering in the first generation of the STANISLAS (Yearly non-invasive follow-up of Health status of Lorraine insured inhabitants) cohort (N = 827; mean age: 60 ± 5 years; men: 48%), and their associations with vascular function and circulating biomarkers were also assessed. These phenotypes were externally validated in the Malmö Preventive Project cohort (N = 1,394; mean age: 67 ± 6 years; men: 70%), and their associations with the composite of cardiovascular mortality (CVM) or heart failure hospitalization (HFH) were assessed as well.RESULTS: Three echocardiographic phenotypes were identified as "mostly normal (MN)" (n = 334), "diastolic changes (D)" (n = 323), and "diastolic changes with structural remodeling (D/S)" (n = 170). The D and D/S phenotypes had similar ages, body mass indices, cardiovascular risk factors, vascular impairments, and diastolic function changes. The D phenotype consisted mainly of women and featured increased levels of inflammatory biomarkers, whereas the D/S phenotype, consisted predominantly of men, displayed the highest values of left ventricular mass, volume, and remodeling biomarkers. The phenotypes were predicted based on a simple algorithm including e', left ventricular mass and volume (e'VM algorithm). In the Malmö cohort, subgroups derived from e'VM algorithm were significantly associated with a higher risk of CVM and HFH (adjusted HR in the D phenotype = 1.87; 95% CI: 1.04 to 3.37; adjusted HR in the D/S phenotype = 3.02; 95% CI: 1.71 to 5.34).CONCLUSIONS: Among asymptomatic, middle-aged individuals, echocardiographic data-driven classification based on the simple e'VM algorithm identified profiles with different long-term HF risk. (4th Visit at 17 Years of Cohort STANISLAS-Stanislas Ancillary Study ESCIF [STANISLASV4]; NCT01391442).

Subject headings and genre

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  • Huttin, OlivierUniversity Hospital of Nancy (author)
  • Magnusson, MartinLund University,Lunds universitet,Kardiovaskulär forskning - hypertoni,Forskargrupper vid Lunds universitet,WCMM- Wallenberg center för molekylär medicinsk forskning,Medicinska fakulteten,Cardiovascular Research - Hypertension,Lund University Research Groups,WCMM-Wallenberg Centre for Molecular Medicine,Faculty of Medicine(Swepub:lu)medf-mma (author)
  • Ferreira, João PedroUniversity Hospital of Nancy (author)
  • Bozec, ErwanUniversity Hospital of Nancy (author)
  • Huby, Anne-CecileUniversity Hospital of Nancy (author)
  • Preud'homme, GregoireUniversity Hospital of Nancy (author)
  • Duarte, KevinUniversity Hospital of Nancy (author)
  • Lamiral, ZohraUniversity Hospital of Nancy (author)
  • Dalleau, KevinUniversity of Lorraine (author)
  • Bresso, EmmanuelUniversity of Lorraine (author)
  • Smaïl-Tabbone, MalikaUniversity of Lorraine (author)
  • Devignes, Marie-DominiqueUniversity of Lorraine (author)
  • Nilsson, Peter MLund University,Lunds universitet,Enheten för medicinens historia,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Internmedicin - epidemiologi,Forskargrupper vid Lunds universitet,History of Medicine,Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Internal Medicine - Epidemiology,Lund University Research Groups,Skåne University Hospital(Swepub:lu)medf-pni (author)
  • Leosdottir, MargretLund University,Lunds universitet,Internmedicin - epidemiologi,Forskargrupper vid Lunds universitet,Internal Medicine - Epidemiology,Lund University Research Groups,Skåne University Hospital(Swepub:lu)medf-mle (author)
  • Boivin, Jean-MarcUniversity Hospital of Nancy (author)
  • Zannad, FaiezUniversity Hospital of Nancy (author)
  • Rossignol, PatrickUniversity Hospital of Nancy (author)
  • Girerd, NicolasUniversity Hospital of Nancy (author)
  • University Hospital of NancyKardiovaskulär forskning - hypertoni (creator_code:org_t)
  • STANISLAS study

Related titles

  • In:JACC: Cardiovascular Imaging: Elsevier BV15:2, s. 193-2081876-75911936-878X

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