AIM: Platelet count and liver stiffness measurement (LSM) using transient elastography could identify significant fibrosis in patients with non-alcoholic fatty liver disease (NAFLD). We constructed a novel index combining LSM with platelet count for staging fibrosis in Japanese patients with NAFLD. METHODS: We recruited 173 Japanese patients with liver biopsy-proven NAFLD. The areas under the receiver operating characteristic curves were calculated and compared with established parameters and scoring systems for staging liver fibrosis. RESULTS: After excluding 10 patients in whom LSM failed, 163 patients with NAFLD were enrolled. The areas under the receiver operating characteristic curves of the LSM/platelet ratio (LPR) index for detecting fibrosis ≥stage 1, ≥stage 2, and ≥stage 3 were the greatest (0.835, 0.913, and 0.936, respectively) compared with those for various other parameters and established scoring systems, such as LSM, type IV collagen 7 s domain, platelet count, NAFIC score, fibrosis-4 index, NAFLD fibrosis score, aspartate aminotransferase/alanine aminotransferase ratio, and aspartate aminotransferase to platelet ratio index. The optimal cut-off, positive predictive, and negative predictive values of the LPR index for detecting ≥stage 3 fibrosis were 0.60, 48.9%, and 99.2%, whereas those of LSM were 10.0 kPa, 35.0%, and 99.0%, respectively. The novel LPR index helps avoid biopsies in a larger percentage of patients with NAFLD compared with that LSM alone. CONCLUSIONS: The LPR index was the best predictor for staging fibrosis in patients with NAFLD. It represents a simple and non-invasive alternative to liver biopsy in clinical practice.
AIM: Platelet count and liver stiffness measurement (LSM) using transient elastography could identify significant fibrosis in patients with non-alcoholic fatty liver disease (NAFLD). We constructed a novel index combining LSM with platelet count for staging fibrosis in Japanese patients with NAFLD. METHODS: We recruited 173 Japanese patients with liver biopsy-proven NAFLD. The areas under the receiver operating characteristic curves were calculated and compared with established parameters and scoring systems for staging liver fibrosis. RESULTS: After excluding 10 patients in whom LSM failed, 163 patients with NAFLD were enrolled. The areas under the receiver operating characteristic curves of the LSM/platelet ratio (LPR) index for detecting fibrosis ≥stage 1, ≥stage 2, and ≥stage 3 were the greatest (0.835, 0.913, and 0.936, respectively) compared with those for various other parameters and established scoring systems, such as LSM, type IV collagen 7 s domain, platelet count, NAFIC score, fibrosis-4 index, NAFLD fibrosis score, aspartate aminotransferase/alanine aminotransferase ratio, and aspartate aminotransferase to platelet ratio index. The optimal cut-off, positive predictive, and negative predictive values of the LPR index for detecting ≥stage 3 fibrosis were 0.60, 48.9%, and 99.2%, whereas those of LSM were 10.0 kPa, 35.0%, and 99.0%, respectively. The novel LPR index helps avoid biopsies in a larger percentage of patients with NAFLD compared with that LSM alone. CONCLUSIONS: The LPR index was the best predictor for staging fibrosis in patients with NAFLD. It represents a simple and non-invasive alternative to liver biopsy in clinical practice.
Authors: Tinsay A Woreta; Mark L Van Natta; Mariana Lazo; Arunkumar Krishnan; Brent A Neuschwander-Tetri; Rohit Loomba; Anna Mae Diehl; Manal F Abdelmalek; Naga Chalasani; Samer Gawrieh; Srinivasan Dasarathy; Raj Vuppalanchi; Mohammad S Siddiqui; Kris V Kowdley; Arthur McCullough; Norah A Terrault; Cynthia Behling; David E Kleiner; Mark Fishbein; Paula Hertel; Laura A Wilson; Emily P Mitchell; Laura A Miriel; Jeanne M Clark; James Tonascia; Arun J Sanyal Journal: PLoS One Date: 2022-04-15 Impact factor: 3.752
Authors: Se Ri Ryu; Jeong-Ju Yoo; Seong Hee Kang; Soung Won Jeong; Moon Young Kim; Young Kyu Cho; Young Chang; Sang Gyune Kim; Jae Young Jang; Young Seok Kim; Soon Koo Baik; Yong Jae Kim; Su Yeon Park; Baigal Baymbajav Journal: Clin Mol Hepatol Date: 2020-12-03
Authors: Ferenc Emil Mózes; Jenny A Lee; Emmanuel Anandraj Selvaraj; Arjun Narayan Ajmer Jayaswal; Michael Trauner; Jerome Boursier; Céline Fournier; Katharina Staufer; Rudolf E Stauber; Elisabetta Bugianesi; Ramy Younes; Silvia Gaia; Monica Lupșor-Platon; Salvatore Petta; Toshihide Shima; Takeshi Okanoue; Sanjiv Mahadeva; Wah-Kheong Chan; Peter J Eddowes; Gideon M Hirschfield; Philip Noel Newsome; Vincent Wai-Sun Wong; Victor de Ledinghen; Jiangao Fan; Feng Shen; Jeremy F Cobbold; Yoshio Sumida; Akira Okajima; Jörn M Schattenberg; Christian Labenz; Won Kim; Myoung Seok Lee; Johannes Wiegand; Thomas Karlas; Yusuf Yılmaz; Guruprasad Padur Aithal; Naaventhan Palaniyappan; Christophe Cassinotto; Sandeep Aggarwal; Harshit Garg; Geraldine J Ooi; Atsushi Nakajima; Masato Yoneda; Marianne Ziol; Nathalie Barget; Andreas Geier; Theresa Tuthill; M Julia Brosnan; Quentin Mark Anstee; Stefan Neubauer; Stephen A Harrison; Patrick M Bossuyt; Michael Pavlides Journal: Gut Date: 2021-05-17 Impact factor: 23.059