Ugo Pinar1,2, Xavier Rod3, Arthur Mageau4, Yohann Renard5, Cedric Lebacle6, Benoit Barrou3, Sarah Drouin3, Jacques Irani6, Thomas Bessede6,7. 1. Department of Urology, Hôpital de Bicêtre, AP-HP, Université Paris Saclay, Le Kremlin-Bicêtre, 94270, France. ugopinar@gmail.com. 2. Department of Urology and Transplantation Surgery, Hôpital Bicêtre, AP-HP. Université Paris Saclay, 78 rue du général Leclerc, Le Kremlin-Bicêtre, 94270, France. ugopinar@gmail.com. 3. Department of Urology and Renal Transplantation, Hôpitaux Universitaires Pitié-Salpêtrière-Charles Foix, AP-HP. Sorbonne Université, Paris, 75013, France. 4. Department of Internal Medicine, Hôpital Henri Mondor, AP-HP, Université Paris Saclay, Créteil, 94010, France. 5. Department of Visceral Surgery, Reims, Champagne-Ardenne University, Robert Debré University Hospital, Reims, France. 6. Department of Urology, Hôpital de Bicêtre, AP-HP, Université Paris Saclay, Le Kremlin-Bicêtre, 94270, France. 7. U1195, Université Paris-Saclay, Inserm, Le Kremlin-Bicêtre, 94276, France.
Abstract
PURPOSE: Sarcopenia or adipose tissue distribution within obese and overweight renal transplanted have been poorly evaluated. Our objective was to evaluate morphometric markers to predict surgical complications in kidney transplantation. METHODS: We retrospectively included patients with a BMI > 25 kg/m2 undergoing kidney transplantation from 2012 to 2017. Following measurements were performed on CT-scan sections: Sub-cutaneous Adipose Tissue surface (SAT), Visceral Adipose Tissue surface (VAT), Vessel-to-Skin distance (VSK), Abdominal Perimeter (AP), and Psoas surface. A multivariable logistic regression model with BMI was compared to a model containing morphometric variables to determine the best predictive model for surgical complications. RESULTS: 248 patients were included, 15 (6%) experienced transplant nephrectomy, 18 (7.3%) urinary leakage, and 29 (11.7%) subcapsular renal hematoma. Multivariable logistic regression evidenced that sarcopenia and VSK were risk factors of surgical complication within a year post-transplantation (respectively, OR = 0.9, 95%CI (0.8-0.9), p = 0.04 and OR = 1.2, 95%CI (1.1-1.3), p = 0.002). Area under the curve for a predictive model including VSK, age and psoas surface was 0.69, whereas BMI model was 0.65. CONCLUSION: Combined morphometric parameters of obesity were associated with surgical complications in kidney transplantation. Morphometric threshold may provide a more accurate and objective criteria than BMI to evaluate kidney transplantation outcomes. External validation is needed.
PURPOSE:Sarcopenia or adipose tissue distribution within obese and overweight renal transplanted have been poorly evaluated. Our objective was to evaluate morphometric markers to predict surgical complications in kidney transplantation. METHODS: We retrospectively included patients with a BMI > 25 kg/m2 undergoing kidney transplantation from 2012 to 2017. Following measurements were performed on CT-scan sections: Sub-cutaneous Adipose Tissue surface (SAT), Visceral Adipose Tissue surface (VAT), Vessel-to-Skin distance (VSK), Abdominal Perimeter (AP), and Psoas surface. A multivariable logistic regression model with BMI was compared to a model containing morphometric variables to determine the best predictive model for surgical complications. RESULTS: 248 patients were included, 15 (6%) experienced transplant nephrectomy, 18 (7.3%) urinary leakage, and 29 (11.7%) subcapsular renal hematoma. Multivariable logistic regression evidenced that sarcopenia and VSK were risk factors of surgical complication within a year post-transplantation (respectively, OR = 0.9, 95%CI (0.8-0.9), p = 0.04 and OR = 1.2, 95%CI (1.1-1.3), p = 0.002). Area under the curve for a predictive model including VSK, age and psoas surface was 0.69, whereas BMI model was 0.65. CONCLUSION: Combined morphometric parameters of obesity were associated with surgical complications in kidney transplantation. Morphometric threshold may provide a more accurate and objective criteria than BMI to evaluate kidney transplantation outcomes. External validation is needed.
Entities:
Keywords:
Body mass index; Graft survival; Kidney transplantation; Obesity; Outcome; Sarcopenia
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