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CT-derived fat density as a predictor of cause-specific mortality in patients undergoing TAVI: Findings from a large registry subanalysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00098892%3A_____%2F25%3A10159065" target="_blank" >RIV/00098892:_____/25:10159065 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14110/25:00140380 RIV/00216208:11120/25:43927735 RIV/61989100:27240/25:10258314 RIV/00159816:_____/25:00082265

  • Result on the web

    <a href="https://journals.viamedica.pl/polish_heart_journal/article/view/103229" target="_blank" >https://journals.viamedica.pl/polish_heart_journal/article/view/103229</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.33963/v.phj.103229" target="_blank" >10.33963/v.phj.103229</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    CT-derived fat density as a predictor of cause-specific mortality in patients undergoing TAVI: Findings from a large registry subanalysis

  • Original language description

    Background: Transcatheter aortic valve implantation (TAVI) is a widely used procedure for older and frailer patients with severe aortic stenosis. Recent studies suggest that preprocedural computed tomography (CT)-derived fat density parameters may help predict patient survival. Objectives: This study investigates the association between CT-derived fat and muscle tissue parameters at the third lumbar vertebra (CTL3) and cause-specific mortality in TAVI patients. Methods: A subanalysis of a prospective TAVI registry was conducted, including patients from 2010 to 2022 with available preprocedural CT scans. Automatic segmentation using a UNET neural network extracted CTL3 parameters, including skeletal muscle and adipose tissue densities and indices. A multivariable Cox proportional hazards model, adjusted for age, sex, and comorbidities, assessed the relationship between these parameters and specific causes of death. Results: Among 866 patients (median age 79.7 years, 49.5% men), cause-specific mortality was significantly associated with CTL3 parameters. Increased visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) densities were linked to higher cardiovascular mortality (P = 0.024 and P = 0.037, respectively). Cancer-related mortality was associated with higher intramuscular adipose tissue (IMAT) density (P = 0.045), VAT density (P = 0.018), and SAT density (P = 0.008), while infection-related mortality was correlated with an increased IMAT index (P = 0.024). Conclusions: CT-derived fat density parameters are significant predictors of cause-specific mortality in TAVI patients, particularly for cardiovascular, cancer, and infection-related deaths. These findings highlight the role of metabolic dysfunction in post-TAVI outcomes and suggest a potential avenue for personalized risk stratification and postoperative management.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30201 - Cardiac and Cardiovascular systems

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Kardiologia Polska

  • ISSN

    0022-9032

  • e-ISSN

    1897-4279

  • Volume of the periodical

    83

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    PL - POLAND

  • Number of pages

    3

  • Pages from-to

    80-82

  • UT code for WoS article

    001417357800001

  • EID of the result in the Scopus database

    2-s2.0-85216903196