Literature DB >> 19917343

Body mass index evaluating donor hepatic steatosis in living donor liver transplantation.

C J Peng1, D Yuan, B Li, Y G Wei, L N Yan, T F Wen, J C Zhao, J Y Yang, W T Wang, M Q Xu.   

Abstract

INTRODUCTION: Evaluation of graft hepatic steatosis is important for the safety of the donor and the recipient in living donor liver transplantation. It is necessary to establish a noninvasive evaluation method to avoid performing a liver biopsy for donor safety. The aim of this study was to identify independent factors that correlated with hepatic steatosis to create a noninvasive method to evaluate hepatic steatosis.
METHODS: We retrospectively collected data from 105 living donors. No prisoners were used to obtain the grafts, all of which underwent postoperative histological evaluation for hepatic steatosis. Preoperative clinical and biochemical variables were examined with univariate analyses, and filtered variables further examined with ordinal regression analysis.
RESULTS: Eighty (76.2%) donors showed no hepatic steatosis, 15 (14.3%), mild steatosis, and 10 (9.5%), moderate steatosis. In ordinal stepwise regression analysis, body mass index (BMI; P = .000) was the only independent factor that correlated with the grade of hepatic steatosis. Preoperative biochemical parameters were not significantly correlated with hepatic steatosis. A regression model based on BMI was created to evaluate hepatic steatosis grade. Furthermore, individuals with a BMI > 27.5 were most likely to show moderate steatosis, and those with BMI < 23 likely to display no or mild steatosis.
CONCLUSION: BMI can help to identify the grade of hepatic steatosis among living donors. BMI is also useful to select living donors for a preoperative liver biopsy before liver transplantation.

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Year:  2009        PMID: 19917343     DOI: 10.1016/j.transproceed.2009.06.235

Source DB:  PubMed          Journal:  Transplant Proc        ISSN: 0041-1345            Impact factor:   1.066


  6 in total

Review 1.  Contemporary strategies to assess and manage liver donor steatosis: a review.

Authors:  Christine Tien; Daphne Remulla; Yong Kwon; Juliet Emamaullee
Journal:  Curr Opin Organ Transplant       Date:  2021-10-01       Impact factor: 2.269

2.  Effects of donor steatosis on liver biochemistry and significance of body mass index in predicting steatosis.

Authors:  Rohan C Siriwardana; See Ching Chan; Kenneth S H Chok; Chung Mau Lo; Sheung Tat Fan
Journal:  HPB (Oxford)       Date:  2012-05-29       Impact factor: 3.647

3.  Development and validation of a prediction score for complications after hepatectomy in hepatitis B-related hepatocellular carcinoma patients.

Authors:  Haiqing Wang; Jian Yang; Jiayin Yang; Li Jiang; Tianfu Wen; Wentao Wang; Mingqing Xu; Bo Li; Lunan Yan
Journal:  PLoS One       Date:  2014-08-15       Impact factor: 3.240

4.  Noninvasive assessment of liver steatosis in children: the clinical value of controlled attenuation parameter.

Authors:  Giovanna Ferraioli; Valeria Calcaterra; Raffaella Lissandrin; Marinella Guazzotti; Laura Maiocchi; Carmine Tinelli; Annalisa De Silvestri; Corrado Regalbuto; Gloria Pelizzo; Daniela Larizza; Carlo Filice
Journal:  BMC Gastroenterol       Date:  2017-05-04       Impact factor: 3.067

5.  Donor diabetes mellitus is a risk factor for diminished outcome after liver transplantation: a nationwide retrospective cohort study.

Authors:  Isabel M A Brüggenwirth; Marjolein van Reeven; Indrė Vasiliauskaitė; Danny van der Helm; Bart van Hoek; Alexander F Schaapherder; Ian P J Alwayn; Aad P van den Berg; Vincent E de Meijer; Sarwa Darwish Murad; Wojciech G Polak; Robert J Porte
Journal:  Transpl Int       Date:  2020-11-05       Impact factor: 3.782

6.  Identification of hepatic steatosis in living liver donors by machine learning models.

Authors:  Jihye Lim; Seungbong Han; Danbi Lee; Ju Hyun Shim; Kang Mo Kim; Young-Suk Lim; Han Chu Lee; Dong Hwan Jung; Sung-Gyu Lee; Ki-Hun Kim; Jonggi Choi
Journal:  Hepatol Commun       Date:  2022-04-04
  6 in total

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