Literature DB >> 34419953

Development and Validation of a Novel Scoring System for Noninvasive Nonalcoholic Steatohepatitis Detection in Bariatric Patients.

Adrian T Billeter1, Sarah Wloka1, Rouven Behnisch2, Thomas Albrecht3, Stephanie Roessler3, Benjamin Goeppert3, Sebastian Mueller4, Felix Nickel1, Beat Müller1.   

Abstract

INTRODUCTION: Nonalcoholic fatty liver disease covers a broad spectrum. Simple steatosis has usually a benign course while nonalcoholic steatohepatitis (NASH) can progress into hepatocellular carcinoma, and cirrhosis. Therefore, differentiating patients with benign steatosis and NASH is crucial. Liver biopsy, the usual gold standard for NASH diagnosis, cannot be used as a screening method due to its associated risks. This is especially problematic for obese patients with a prevalence of nonalcoholic fatty liver disease (NAFLD) in >80% of patients. The aim of this study was therefore to develop and validate a noninvasive NASH screening test in a cohort of high-risk, morbidly obese patients.
METHODS: This prospective study examined diagnostic accuracy in accordance with STARD guidelines. 112 liver biopsies were consecutively assigned to either a training or validation cohort. Using the Bedossa histological scoring system, the cohorts were subdivided into NASH versus NAFLD/No NAFLD. Predictors of NASH were evaluated with receiver operating characteristic (ROC) curves. A model was then constructed using a backward stepwise logistic regression and evaluated in an independent validation cohort.
RESULTS: 53.5% of the patients had NASH and 4 patients had cirrhosis. Mean body mass index (BMI) was 49.8 ± 7.5 kg/m2. Backward stepwise logistic regression identified 4 parameters associated with the presence of NASH: alanin-aminotransferase, albumin, BMI, and triglycerides. The noninvasive NASH detection score (NI-NASH-DS) had an ROC of 0.851 and 0.727 in the training and validation cohorts, respectively. Sensitivity and specificity were 77.1% and 88% in the training cohort and 88% and 48% in the validation cohort which was much better than the established noninvasive scores. DISCUSSION/
CONCLUSION: The NI-NASH-DS is easy-to-use, inexpensive, and noninvasive and can reliably detect NASH in patients with morbid obesity. Due to its simplicity, it can be used frequently and repeatedly.
© 2021 The Author(s). Published by S. Karger AG, Basel.

Entities:  

Keywords:  Bariatric surgery; Fatty liver; Nonalcoholic fatty liver disease; Nonalcoholic steatohepatitis; Noninvasive score

Mesh:

Year:  2021        PMID: 34419953      PMCID: PMC8546458          DOI: 10.1159/000517383

Source DB:  PubMed          Journal:  Obes Facts        ISSN: 1662-4025            Impact factor:   3.942


  42 in total

1.  Misuse of scoring systems.

Authors:  Elizabeth M Brunt; David E Kleiner; Cynthia Behling; Melissa J Contos; Oscar W Cummings; Linda D Ferrell; Michael S Torbenson; Matthew Yeh
Journal:  Hepatology       Date:  2011-07       Impact factor: 17.425

Review 2.  The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver Diseases.

Authors:  Naga Chalasani; Zobair Younossi; Joel E Lavine; Michael Charlton; Kenneth Cusi; Mary Rinella; Stephen A Harrison; Elizabeth M Brunt; Arun J Sanyal
Journal:  Hepatology       Date:  2017-09-29       Impact factor: 17.425

Review 3.  EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma.

Authors: 
Journal:  J Hepatol       Date:  2018-04-05       Impact factor: 25.083

4.  Histopathological algorithm and scoring system for evaluation of liver lesions in morbidly obese patients.

Authors:  Pierre Bedossa; Christine Poitou; Nicolas Veyrie; Jean-Luc Bouillot; Arnaud Basdevant; Valerie Paradis; Joan Tordjman; Karine Clement
Journal:  Hepatology       Date:  2012-11       Impact factor: 17.425

5.  A simple clinical scoring system using ferritin, fasting insulin, and type IV collagen 7S for predicting steatohepatitis in nonalcoholic fatty liver disease.

Authors:  Yoshio Sumida; Masato Yoneda; Hideyuki Hyogo; Kanji Yamaguchi; Masafumi Ono; Hideki Fujii; Yuichiro Eguchi; Yasuaki Suzuki; Shunsuke Imai; Kazuyuki Kanemasa; Koji Fujita; Kazuaki Chayama; Kohichiroh Yasui; Toshiji Saibara; Norifumi Kawada; Kazuma Fujimoto; Yutaka Kohgo; Takeshi Okanoue
Journal:  J Gastroenterol       Date:  2010-09-15       Impact factor: 7.527

6.  Liver stiffness measurement using XL probe in patients with nonalcoholic fatty liver disease.

Authors:  Vincent Wai-Sun Wong; Julien Vergniol; Grace Lai-Hung Wong; Juliette Foucher; Anthony Wing-Hung Chan; Faiza Chermak; Paul Cheung-Lung Choi; Wassil Merrouche; Shirley Ho-Ting Chu; Sophie Pesque; Henry Lik-Yuen Chan; Victor de Lédinghen
Journal:  Am J Gastroenterol       Date:  2012-10-02       Impact factor: 10.864

Review 7.  Limitations of liver biopsy and non-invasive diagnostic tests for the diagnosis of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis.

Authors:  Yoshio Sumida; Atsushi Nakajima; Yoshito Itoh
Journal:  World J Gastroenterol       Date:  2014-01-14       Impact factor: 5.742

8.  Simple noninvasive systems predict long-term outcomes of patients with nonalcoholic fatty liver disease.

Authors:  Paul Angulo; Elisabetta Bugianesi; Einar S Bjornsson; Phunchai Charatcharoenwitthaya; Peter R Mills; Francisco Barrera; Svanhildur Haflidadottir; Christopher P Day; Jacob George
Journal:  Gastroenterology       Date:  2013-07-13       Impact factor: 22.682

Review 9.  Pathological features of fatty liver disease.

Authors:  Matthew M Yeh; Elizabeth M Brunt
Journal:  Gastroenterology       Date:  2014-08-07       Impact factor: 22.682

10.  Noninvasive Evaluation of Liver Function in Morbidly Obese Patients.

Authors:  Patrick H Alizai; Isabella Lurje; Andreas Kroh; Sophia Schmitz; Tom Luedde; Julia Andruszkow; Ulf P Neumann; Florian Ulmer
Journal:  Gastroenterol Res Pract       Date:  2019-02-03       Impact factor: 2.260

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  1 in total

1.  A Novel Non-Invasive Approach Based on Serum Ceruloplasmin for Identifying Non-Alcoholic Steatohepatitis Patients in the Non-Diabetic Population.

Authors:  Qingling Wang; Da Zhou; Mingjie Wang; Mingyu Zhu; Peizhan Chen; Hu Li; Meng Lu; Xinxin Zhang; Xizhong Shen; Taotao Liu; Li Chen
Journal:  Front Med (Lausanne)       Date:  2022-06-20
  1 in total

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