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

Kód výsledku v 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>

Nalezeny alternativní kódy

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

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30201 - Cardiac and Cardiovascular systems

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Kardiologia Polska

ISSN

0022-9032

e-ISSN

1897-4279

Svazek periodika

83

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

3

Strana od-do

80-82

Kód UT WoS článku

001417357800001

EID výsledku v databázi Scopus

2-s2.0-85216903196