title: Noninvasive clinical model for the diagnosis of nonalcoholic steatohepatitis in overweight and morbidly obese patients undergoing bariatric surgery.
abstract: BACKGROUND
  Liver biopsy, an invasive method, is the gold standard for differentiate nonalcoholic steatohepatitis (NASH) from other stages of fatty liver disease. A noninvasive test to diagnose NASH and disease severity before surgery and also for monitoring disease status after bariatric surgery (BS) will be an important medical challenge.
  
  
  OBJECTIVE
  To create a noninvasive biomarkers model for the diagnosis of NASH in overweight, obese and morbidly obese patients (MOP).
  
  
  METHODS
  Sixty patients (mean BMI= 47.81kg/m2) were admitted after exclusion of other causes of liver disease. Liver biopsies were obtained at the time of the bariatric surgery or by percutaneous liver biopsy and graded using Kleiner score. Continuous variables were compared using Wilcoxon rank sum test and for prediction of NASH we used logistic regression.
  
  
  RESULTS
  Logistic regression analysis showed that BMI, ALT, AST, alkaline phosphatase (ALP), HOMA-R, hs-CRP, M30, M65, leptine and adiponectine levels remained independent predictors for NASH (p less than 0.02). Using AUC analysis, we established the following cutoff levels being indicative of NASH: BMI ė 47 kg/m2, ALT ė 32 IU/mL, AST ė 25 IU/mL, ALP ė 85 IU/mL, HOMA-IR ė 4, M65 ė 389 U/L. Adiponectine less than 13.5 mg/L. A NASH-score, calculated as the sum of these 7 parameters, at a cutoff level of 4 points, can accurately predict NASH (sensitivity of 90%, specificity of 93.94% and AUC of 0.9576).
  
  
  CONCLUSIONS
  We propose a noninvasive model for NASH diagnosis in MOP that should be validated prospectively. Using this noninvasive score, NASH would be predicted without the risks of liver biopsy.
authors.affiliation: Department of Gastroenterology, Fundeni Clinical Institute, Bucharest, Romania. iulianapirvilescu@yahoo.com
authors.forename: I
authors.initials: I
authors.lastname: Pirvulescu
authors.forename: L
authors.initials: L
authors.lastname: Gheorghe
authors.forename: I
authors.initials: I
authors.lastname: Csiki
authors.forename: G
authors.initials: G
authors.lastname: Becheanu
authors.forename: M
authors.initials: M
authors.lastname: Dumbravă
authors.forename: S
authors.initials: S
authors.lastname: Fica
authors.forename: S
authors.initials: S
authors.lastname: Martin
authors.forename: A
authors.initials: A
authors.lastname: Sarbu
authors.forename: C
authors.initials: C
authors.lastname: Gheorghe
authors.forename: M
authors.initials: M
authors.lastname: Diculescu
authors.forename: C
authors.initials: C
authors.lastname: Copăescu
mesh_terms: D052242:Adiponectin / Q000097:blood; D000328:Adult; D000410:Alanine Transaminase / Q000097:blood; D000469:Alkaline Phosphatase / Q000097:blood; D001219:Aspartate Aminotransferases / Q000097:blood; D050110:Bariatric Surgery; D015415:Biomarkers / Q000097:blood; D001706:Biopsy / Q000379:methods; D001707:Biopsy, Needle; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000378:metabolism; D003937:Diagnosis, Differential; D005234:Fatty Liver / Q000097:blood / Q000175:diagnosis* / Q000209:etiology; D005260:Female; D005951:Glucose Tolerance Test; D006801:Humans; D006912:Hydroxyquinolines / Q000097:blood; D007328:Insulin / Q000097:blood; D007333:Insulin Resistance; D053538:Keratin-18 / Q000097:blood; D020738:Leptin / Q000097:blood; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D065626:Non-alcoholic Fatty Liver Disease; D009767:Obesity, Morbid / Q000097:blood / Q000150:complications / Q000175:diagnosis* / Q000601:surgery*; D050177:Overweight / Q000175:diagnosis / Q000601:surgery; D010446:Peptide Fragments / Q000097:blood; D011237:Predictive Value of Tests; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D018709:Statistics, Nonparametric; D016896:Treatment Outcome
chemical_list: C517687:5-(N-methyl-N-propargylaminomethyl)-8-hydroxyquinoline; D052242:Adiponectin; D015415:Biomarkers; D006912:Hydroxyquinolines; D007328:Insulin; D053538:Keratin-18; D020738:Leptin; C577325:M65 antigen, human; D010446:Peptide Fragments; D002097:C-Reactive Protein; D001219:Aspartate Aminotransferases; D000410:Alanine Transaminase; D000469:Alkaline Phosphatase