Thomas Tabourin1,2, Ugo Pinar3, Lucie Cassagnes4, Yves Boirie5, Anne-Elisabeth Heng6, Marlène Guandalino7, Laurent Guy8. 1. Department of Urology, Clermont-Ferrand University Hospital, Clermont-Ferrand, France. tm.tabourin@gmail.com. 2. GRC 5, Predictive Onco-Urology, APHP, Pitié-Salpêtrière Hôpital, Urology, Sorbonne University, 75013, Paris, France. tm.tabourin@gmail.com. 3. GRC 5, Predictive Onco-Urology, APHP, Pitié-Salpêtrière Hôpital, Urology, Sorbonne University, 75013, Paris, France. 4. Department of Radiology, Clermont-Ferrand University Hospital, Clermont-Ferrand, France. 5. Research Department, Clermont-Ferrand University Hospital, Clermont-Ferrand, France. 6. Department of Nephrology, Clermont-Ferrand University Hospital, Clermont-Ferrand, France. 7. Urology Department, Clinique Bons Secours, Le Puy-en-Velay, France. 8. Department of Urology, Clermont-Ferrand University Hospital, Clermont-Ferrand, France.
Abstract
PURPOSE: Despite a high rate of undernutrition in renal transplantation recipients, prognostic value of sarcopenia remains unclear. We evaluated the relation between sarcopenia and post-operative outcomes after renal transplantation. METHODS: During 7 years, each patient who underwent renal transplantation was retrospectively included. Patients with no recent pre-operative CT-scan were excluded. Sarcopenia was evaluated by measuring the muscle surface area on CT-scan section passing through the third lumbar vertebra. Main outcomes were post-operative complications at 1 month and 1 year according to the Clavien-Dindo classification. RESULTS: Overall, 102 patients were included. One month of complication rate was 63.9%. At 1 year, 60.8% experienced at least one medical complication and 29.4% one surgical complication. At 1 year post transplantation, low muscle density on CT scan was a surgical complication risk factor (OR = 0.6, 95% CI = [0.3-0.9], p = 0.05). The area under the curve of a 1-year complication predictive model including muscle density was 0.64. We did not observe significant relationship between CT-scan sarcopenia indicator and 1-month post-transplantation complication. CONCLUSION: Although no clear link between sarcopenia and complications was exhibited in our study, low CT-scan muscle density was associated with 1-year surgical complications. The role of muscle density and its relation with sarcopenia and post-transplantation outcomes should be further explored.
PURPOSE: Despite a high rate of undernutrition in renal transplantation recipients, prognostic value of sarcopenia remains unclear. We evaluated the relation between sarcopenia and post-operative outcomes after renal transplantation. METHODS: During 7 years, each patient who underwent renal transplantation was retrospectively included. Patients with no recent pre-operative CT-scan were excluded. Sarcopenia was evaluated by measuring the muscle surface area on CT-scan section passing through the third lumbar vertebra. Main outcomes were post-operative complications at 1 month and 1 year according to the Clavien-Dindo classification. RESULTS: Overall, 102 patients were included. One month of complication rate was 63.9%. At 1 year, 60.8% experienced at least one medical complication and 29.4% one surgical complication. At 1 year post transplantation, low muscle density on CT scan was a surgical complication risk factor (OR = 0.6, 95% CI = [0.3-0.9], p = 0.05). The area under the curve of a 1-year complication predictive model including muscle density was 0.64. We did not observe significant relationship between CT-scan sarcopenia indicator and 1-month post-transplantation complication. CONCLUSION: Although no clear link between sarcopenia and complications was exhibited in our study, low CT-scan muscle density was associated with 1-year surgical complications. The role of muscle density and its relation with sarcopenia and post-transplantation outcomes should be further explored.
Authors: Michael N Terjimanian; Patrick W Underwood; David C Cron; Joshua J Augustine; Kelly A Noon; Devan R Cote; Stewart C Wang; Michael J Englesbe; Kenneth J Woodside Journal: Clin Transplant Date: 2017-08-28 Impact factor: 2.863
Authors: Mayara Maria Souza de Almeida; Rafael Alves Guimarães; Paulo César Brandão Veiga Jardim; Ana Luiza Lima Sousa; Márcia Maria de Souza Journal: PLoS One Date: 2017-12-18 Impact factor: 3.240