Systematic Review and Meta-Analysis of the Impact of Computed Tomography-Assessed Skeletal Muscle Mass on Outcome in Patients Awaiting or Undergoing Liver Transplantation - PubMed (original) (raw)

Meta-Analysis

. 2016 Aug;16(8):2277-92.

doi: 10.1111/ajt.13732. Epub 2016 Apr 4.

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Meta-Analysis

Systematic Review and Meta-Analysis of the Impact of Computed Tomography-Assessed Skeletal Muscle Mass on Outcome in Patients Awaiting or Undergoing Liver Transplantation

J L A van Vugt et al. Am J Transplant. 2016 Aug.

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Abstract

Liver transplant outcome has improved considerably as a direct result of optimized surgical and anesthesiological techniques and organ allocation programs. Because there remains a shortage of human organs, strict selection of transplant candidates remains of paramount importance. Recently, computed tomography (CT)-assessed low skeletal muscle mass (i.e. sarcopenia) was identified as a novel prognostic parameter to predict outcome in liver transplant candidates. A systematic review and meta-analysis on the impact of CT-assessed skeletal muscle mass on outcome in liver transplant candidates were performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Nineteen studies, including 3803 patients in partly overlapping cohorts, fulfilled the inclusion criteria. The prevalence of sarcopenia ranged from 22.2% to 70%. An independent association between low muscle mass and posttransplantation and waiting list mortality was described in 4 of the 6 and 6 of the 11 studies, respectively. The pooled hazard ratios of sarcopenia were 1.84 (95% confidence interval 1.11-3.05, p = 0.02) and 1.72 (95% confidence interval 0.99-3.00, p = 0.05) for posttransplantation and waiting list mortality, respectively, independent of Model for End-stage Liver Disease score. Less-consistent evidence suggested a higher complication rate, particularly infections, in sarcopenic patients. In conclusion, sarcopenia is an independent predictor for outcome in liver transplantation patients and could be used for risk assessment.

Keywords: classification systems; clinical research/practice; comorbidities; complication; complication: infectious; diagnostic techniques and imaging: computed tomography; health services and outcomes research; liver transplantation/hepatology.

© Copyright 2016 The American Society of Transplantation and the American Society of Transplant Surgeons.

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