Informace o publikaci

Sarcopenia and adipose tissue evaluation by artificial intelligence predicts the overall survival after TAVI

Autoři

PEKAŘ Matej JIRAVSKÝ Otakar NOVÁK Jan BRANNY Piotr BALUŠÍK Jakub DANIŠ Daniel HEČKO Jan KANTOR Marek PROSECKÝ Robert BLAHA Lubomír NEUWIRTH Radek

Rok publikování 2024
Druh Článek v odborném periodiku
Časopis / Zdroj SCIENTIFIC REPORTS
Fakulta / Pracoviště MU

Lékařská fakulta

Citace
www https://link.springer.com/article/10.1038/s41598-024-59134-z?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20240417&utm_content=10.1038/s41598-024-59134-z
Doi http://dx.doi.org/10.1038/s41598-024-59134-z
Klíčová slova Sarcopenia; Artifcial intelligence; Visceral adipose tissue; Subcutaneous adipose tissue; Survival; TAVI
Popis Sarcopenia is a serious systemic disease that reduces overall survival. TAVI is selectively performed in patients with severe aortic stenosis who are not indicated for open cardiac surgery due to severe polymorbidity. Artificial intelligence-assisted body composition assessment from available CT scans appears to be a simple tool to stratify these patients into low and high risk based on future estimates of all-cause mortality. Within our study, the segmentation of preprocedural CT scans at the level of the lumbar third vertebra in patients undergoing TAVI was performed using a neural network (AutoMATiCA). The obtained parameters (area and density of skeletal muscles and intramuscular, visceral, and subcutaneous adipose tissue) were analyzed using Cox univariate and multivariable models for continuous and categorical variables to assess the relation of selected variables with all-cause mortality. 866 patients were included (median(interquartile range)): age 79.7 (74.9–83.3) years; BMI 28.9 (25.9–32.6) kg/m2. Survival analysis was performed on all automatically obtained parameters of muscle and fat density and area. Skeletal muscle index (SMI in cm2/m2), visceral (VAT in HU) and subcutaneous adipose tissue (SAT in HU) density predicted the all-cause mortality in patients after TAVI expressed as hazard ratio (HR) with 95% confidence interval (CI): SMI HR 0.986, 95% CI (0.975–0.996); VAT 1.015 (1.002–1.028) and SAT 1.014 (1.004–1.023), all p?<?0.05. Automatic body composition assessment can estimate higher all-cause mortality risk in patients after TAVI, which may be useful in preoperative clinical reasoning and stratification of patients.
Související projekty:

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.

Další info