Obesity Surgery

, Volume 15, Issue 8, pp 1148–1153

Predictors of Nonalcoholic Steatohepatitis (NASH) in Obese Patients Undergoing Gastric Bypass

  • Authors
  • Camilo Boza
  • Arnoldo Riquelme
  • Luis Ibañez
  • Ignacio Duarte
  • Enrique Norero
  • Paola Viviani
  • Alejandro Soza
  • Jose Ignacio Fernandez
  • Alejandro Raddatz
  • Sergio Guzman
  • Marco Arrese

DOI: 10.1381/0960892055002347

Cite this article as:
Boza, C., Riquelme, A., Ibañez, L. et al. OBES SURG (2005) 15: 1148. doi:10.1381/0960892055002347

Background: Nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH) are conditions gaining increasing recognition in hepatology as a potential cause of cirrhosis and end-stage liver disease. Obesity is one of the main risk factors. The aims of this study were to determine the frequency of NAFLD in obese patients and to identify variables that predict NASH. Methods: A prospective study was conducted of obese patients undergoing gastric bypass over a 20-month period. Assessment included liver function tests and evaluation of insulin resistance with the homeostatic model assessment (HOMA-IR). Liver biopsy was performed in all patients at the time of surgery. Clinical and biochemical variables were analyzed using a multivariate analysis to identify independent predictors of NASH. Results: 127 consecutive patients were included (62% female, 38% male, mean age 40±11 years, mean body mass index 42±6 kg/m2). Arterial hypertension was present in 52 patients (41%) and type 2 diabetes in 18 (14%). NAFLD was confirmed in 80 patients (63%), 47 (37%) had simple steatosis, and 33 (26%) had NASH. Cirrhosis was found in 2 patients corresponding to 1.6% of the total population. On multivariate analysis, AST >31 (IU/L) (OR 3.38, CI 1.17-9.8) and HOMA-IR >5.8 (OR 4.18, CI 1.39-12.49) independently predicted NASH. Conclusions: NAFLD is highly prevalent in morbidly obese patients. A high proportion of these patients exhibit NASH on histological examination. Insulin resistance represents the main predictor of NASH.


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© Springer 2005