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Prediction of nonalcoholic fatty liver in prospective liver donors.
Choudhary, Narendra S; Saraf, Neeraj; Saigal, Sanjiv; Duseja, Ajay; Gautam, Dheeraj; Lipi, Lipika; Rastogi, Amit; Goja, Sanjay; Bhangui, Prashant; Ramchandra, Sumana K; Babu, Yalakanti Raghavendra; Soin, Arvinder S.
Afiliação
  • Choudhary NS; Medanta Liver Institute, Medanta The Medicity, Gurgaon, India.
  • Saraf N; Medanta Liver Institute, Medanta The Medicity, Gurgaon, India.
  • Saigal S; Medanta Liver Institute, Medanta The Medicity, Gurgaon, India.
  • Duseja A; Department of Hepatology, Post Graduate Institute of Medical Education and Research, Medanta The Medicity, Gurgaon, Chandigarh, India.
  • Gautam D; Department of Histopathology, Medanta The Medicity, Gurgaon, India.
  • Lipi L; Department of Histopathology, Medanta The Medicity, Gurgaon, India.
  • Rastogi A; Medanta Liver Institute, Medanta The Medicity, Gurgaon, India.
  • Goja S; Medanta Liver Institute, Medanta The Medicity, Gurgaon, India.
  • Bhangui P; Medanta Liver Institute, Medanta The Medicity, Gurgaon, India.
  • Ramchandra SK; Medanta Liver Institute, Medanta The Medicity, Gurgaon, India.
  • Babu YR; Medanta Liver Institute, Medanta The Medicity, Gurgaon, India.
  • Soin AS; Medanta Liver Institute, Medanta The Medicity, Gurgaon, India.
Clin Transplant ; 31(4)2017 04.
Article em En | MEDLINE | ID: mdl-27988988
BACKGROUND: Metabolic risk factors should be important in addition to imaging for prediction of steatosis in prospective liver donors. MATERIALS AND METHODS: The study group included all prospective liver donors who had a liver biopsy during workup. Risk factors of metabolic syndrome were analyzed, and body mass index (BMI) ≥25 kg/m2 was used in place of waist circumference. Three BMI cutoffs (25, 28, and 30 kg/m2 ) and two CT-measured liver attenuation index (LAI) cutoffs (<5 and ≤10) were used for steatosis assessment of ≥5%, ≥10%, and ≥20%. RESULTS: Of the 573 prospective donors (307 females), 282 (49.2%) donors had nonalcoholic fatty liver (NAFL). When donors with NAFL were compared with donors having normal histology, multivariate analysis showed BMI, ALT, triglycerides, and LAI as significant predictors of NAFL. BMI ≥25 kg/m2 and LAI <10 were better cutoffs. The presence of ≥2 metabolic risk factors had better sensitivity than CT-LAI for the presence of NAFL and ≥20% steatosis (58% and 54% vs 47% and 22%, respectively, for CT-LAI ≤10). The presence of LAI >10 and <2 metabolic risk factors predicted <10% steatosis with 96% specificity and 92% positive predictive value. CONCLUSION: The presence of ≥2 metabolic risk factors improves sensitivity of CT-LAI for prediction of donor steatosis.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Índice de Gravidade de Doença / Doadores Vivos / Síndrome Metabólica / Hepatopatia Gordurosa não Alcoólica Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Índice de Gravidade de Doença / Doadores Vivos / Síndrome Metabólica / Hepatopatia Gordurosa não Alcoólica Idioma: En Ano de publicação: 2017 Tipo de documento: Article