Abstract
Background and aim Body composition has emerged as a prognostic factor for end-stage liver disease. We therefore investigated muscle mass, body fat and other clinical-pathological variables as predictors of posttransplant survival. Methods A total of 368 patients, who underwent orthotopic liver transplantation (OLT) at our institution, were assessed prior to OLT and followed for a median of 9.0 years (range 2.0-10.0 years) after OLT. Psoas, erector spinae and the combined paraspinal muscle area, as well as the corresponding indices normalized by body-height squared, were quantified by a lumbar (L3) cross-sectional computed tomography. In addition, absolute body fat and bone density were estimated by the same computed tomography approach. Results Paraspinal muscle index (PSMI) (hazard ratio 0.955, P = 0.039) and hepatitis C (hazard rati 1.498, P = 0.038) were independently associated with post-OLT mortality. In contrast, body fat and bone density did not significantly affect post-OLT outcome (P > 0.05). The PSMI also predicted one-year posttransplant mortality with a receiver operating characteristics-area under the curve of 0.671 [95% confidence interval (CI) 0.589-0.753, P < 0.001) in male patients and outperformed individual psoas and erector spinae muscle group assessments in this regard. In male patients, a defined PSMI cutoff (<18.41 cm2/m2) was identified as suitable determinant for sarcopenia and posttransplant one-year mortality. In female OLT-recipients, however, sarcopenia was not predictive for patient survival und a women-specific cutoff could not be derived from this study. Conclusions Taken together this analysis provides evidence, which PSMI is a relevant marker for muscle mass and that sarcopenia is an independent predictor of early post-OLT survival in male patients.
| Original language | English |
|---|---|
| Journal | European Journal of Gastroenterology and Hepatology |
| Volume | 32 |
| Issue number | 5 |
| Pages (from-to) | 626-634 |
| Number of pages | 9 |
| ISSN | 0954-691X |
| DOIs | |
| Publication status | Published - 01.05.2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
Research Areas and Centers
- Academic Focus: Biomedical Engineering
DFG Research Classification Scheme
- 2.22-30 Radiology
- 2.22-15 Gastroenterology
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