| Autor: |
Babak Salam, Muntadher Al Zaidi, Alois M. Sprinkart, Sebastian Nowak, Maike Theis, Daniel Kuetting, Adem Aksoy, Georg Nickenig, Ulrike Attenberger, Sebastian Zimmer, Julian A. Luetkens |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2045-2322 |
| DOI: |
10.1038/s41598-023-49454-x |
| Popis: |
Abstract Prognosis estimation in patients with cardiogenic shock (CS) is important to guide clinical decision making. Aim of this study was to investigate the predictive value of opportunistic CT-derived body composition analysis in CS patients. Amount and density of fat and muscle tissue of 152 CS patients were quantified from single-slice CT images at the level of the intervertebral disc space L3/L4. Multivariable Cox regression and Kaplan–Meier survival analyses were performed to evaluate the predictive value of opportunistically CT-derived body composition parameters on the primary endpoint of 30-day mortality. Within the 30-day follow-up, 90/152 (59.2%) patients died. On multivariable analyses, lactate (Hazard Ratio 1.10 [95% Confidence Interval 1.04–1.17]; p = 0.002) and patient age (HR 1.04 [95% CI 1.01–1.07], p = 0.017) as clinical prognosticators, as well as visceral adipose tissue (VAT) area (HR 1.004 [95% CI 1.002–1.007]; p = 0.001) and skeletal muscle (SM) area (HR 0.987 [95% CI 0.975–0.999]; p = 0.043) as imaging biomarkers remained as independent predictors of 30-day mortality. Kaplan–Meier survival analyses showed significantly increased 30-day mortality in patients with higher VAT area (p = 0.015) and lower SM area (p = 0.035). CT-derived VAT and SM area are independent predictors of dismal outcomes in CS patients and have the potential to emerge as new imaging biomarkers available from routine diagnostic CT. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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