CT-derived adipose tissue characteristics and TAVI all-cause mortality and complications: a systematic review
Language English Country England, Great Britain Media electronic
Document type Journal Article, Systematic Review
PubMed
40269992
PubMed Central
PMC12020199
DOI
10.1186/s40001-025-02587-3
PII: 10.1186/s40001-025-02587-3
Knihovny.cz E-resources
- Keywords
- Adipose tissue parameters, CT-derived body composition, Risk stratification, Subcutaneous fat, TAVI outcomes, Visceral fat,
- MeSH
- Aortic Valve Stenosis * surgery mortality diagnostic imaging MeSH
- Humans MeSH
- Tomography, X-Ray Computed * methods MeSH
- Postoperative Complications * etiology mortality MeSH
- Transcatheter Aortic Valve Replacement * adverse effects mortality MeSH
- Adipose Tissue * diagnostic imaging MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Systematic Review MeSH
Transcatheter Aortic Valve Implantation (TAVI) has revolutionized severe aortic stenosis treatment, but risk stratification remains challenging. This systematic review examined the association between computed tomography (CT)-derived adipose tissue parameters and TAVI outcomes. We searched major databases for studies on visceral (VAT), subcutaneous (SAT), and intramuscular (IMAT) adipose tissue parameters and post-TAVI outcomes. Fourteen studies (9692 patients) were included. Higher SAT area/volume was consistently associated with better survival (5 studies, HR range: 0.83-2.77, p < 0.05). Lower SAT and VAT density also correlated with better survival (5 and 4 studies, respectively, HR range: 1.31-1.46, p < 0.05). VAT area showed mixed results. A VAT:SAT ratio < 1 was associated with better cardiovascular outcomes in one study. Lower IMAT index correlated with shorter hospital stays in a single study. This review reveals complex relationships between adipose tissue parameters and TAVI outcomes. Lower adipose tissue density and higher subcutaneous adiposity were most consistently associated with better outcomes. These findings suggest that detailed analysis of adipose tissue characteristics may enhance risk stratification in TAVI candidates.
3rd Faculty of Medicine Charles University Ruská 87 100 00 Prague 10 Czech Republic
Faculty of Medicine Masaryk University Kamenice 5 625 00 Brno Czech Republic
Faculty of Medicine Palacky University Křížkovského 511 8 779 00 Olomouc Czech Republic
Hospital AGEL Třinec Podlesí Konská 453 739 61 Třinec Czech Republic
Medicine Faculty of Medicine University of Ostrava Syllabova 19 703 00 Ostrava Czech Republic
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