Chi-Ming Tai1, Ming-Lung Yu2, Hung-Pin Tu3, Chih-Kun Huang4, Jau-Chung Hwang5, Wan-Long Chuang6. 1. Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan; Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan. 2. Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Hepatobiliary Division, Department of Internal Medicine and Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Faculty of Internal Medicine, School of Medicine, College of Medicine, and Lipid Science and Aging Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan; Institute of Biomedical Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan. 3. Department of Public Health and Environmental Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan. 4. Body Science and Metabolic Disorders International (BMI) Medical Center, China Medical University Hospital, Taichung City, Taiwan. 5. Department of Pathology, Lin Shin Hospital, Taichung, Taiwan. 6. Hepatobiliary Division, Department of Internal Medicine and Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Faculty of Internal Medicine, School of Medicine, College of Medicine, and Lipid Science and Aging Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan. Electronic address: waloch@kmu.edu.tw.
Abstract
BACKGROUND: Nonalcoholic steatohepatitis (NASH) is common in severely obese Asians and may progress to advanced liver disease. Although invasive, liver biopsy is the gold standard for NASH diagnosis. Scoring systems for predicting NASH in obese Asians are scarce. OBJECTIVES: To develop and validate a scoring system to predict NASH in Taiwanese patients with severe obesity. SETTING: University hospital, Taiwan. METHODS: Preoperative clinical and laboratory data were obtained from 180 severely obese patients who underwent bariatric surgery. NASH was evaluated by liver histopathology. Patients were divided into 2 groups: a derivation cohort (n = 120) and a validation cohort (n = 60). RESULTS: Of the 180 patients, 91 (50.6%) had NASH. Multivariate analysis identified body mass index (BMI), alanine aminotransferase (ALT), and triglyceride as independent predictors for NASH in the derivation group. A weighted sum of the score was: [(1 for presence of 45 kg/m2 ≧ BMI>40 kg/m2) or (2 for presence of BMI>45 kg/m2)+(2 for presence of ALT>40 IU/L)+(1 for presence of triglyceride>140 mg/L)]. The area under the receiver operating characteristic curve of this model was .80 and .82 in derivation and validation cohort, respectively. Patients were further divided into low- and high-risk for NASH by using a cutoff score of 3. Diagnostic accuracy was 74% and 80% in derivation and validation cohorts, respectively. CONCLUSION: We developed and subsequently validated a simple clinical scoring system incorporating BMI, ALT, and triglyceride to predict NASH in Taiwanese patients with severe obesity.
BACKGROUND:Nonalcoholic steatohepatitis (NASH) is common in severely obese Asians and may progress to advanced liver disease. Although invasive, liver biopsy is the gold standard for NASH diagnosis. Scoring systems for predicting NASH in obese Asians are scarce. OBJECTIVES: To develop and validate a scoring system to predict NASH in Taiwanese patients with severe obesity. SETTING: University hospital, Taiwan. METHODS: Preoperative clinical and laboratory data were obtained from 180 severely obesepatients who underwent bariatric surgery. NASH was evaluated by liver histopathology. Patients were divided into 2 groups: a derivation cohort (n = 120) and a validation cohort (n = 60). RESULTS: Of the 180 patients, 91 (50.6%) had NASH. Multivariate analysis identified body mass index (BMI), alanine aminotransferase (ALT), and triglyceride as independent predictors for NASH in the derivation group. A weighted sum of the score was: [(1 for presence of 45 kg/m2 ≧ BMI>40 kg/m2) or (2 for presence of BMI>45 kg/m2)+(2 for presence of ALT>40 IU/L)+(1 for presence of triglyceride>140 mg/L)]. The area under the receiver operating characteristic curve of this model was .80 and .82 in derivation and validation cohort, respectively. Patients were further divided into low- and high-risk for NASH by using a cutoff score of 3. Diagnostic accuracy was 74% and 80% in derivation and validation cohorts, respectively. CONCLUSION: We developed and subsequently validated a simple clinical scoring system incorporating BMI, ALT, and triglyceride to predict NASH in Taiwanese patients with severe obesity.
Authors: Laísa Simakawa Jimenez; Rodolfo Araújo Marques; Martinho A Gestic; Murillo P Utrini; Felipe D M Chaim; Almino C Ramos; Elinton A Chaim; Everton Cazzo Journal: Obes Surg Date: 2021-04-29 Impact factor: 4.129