Ming-Hua Zheng

Prof. Dr. Ming-Hua Zheng

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 July 2020 in Journal of Hepatology
Verified
Journal Article
Closed access
MEMohammed Eslam
Mohammed Eslam
PNPhilip Noel Newsome
Philip Noel Newsome
SSShiv K. Sarin
Shiv K. Sarin
QAQuentin M. Anstee
Quentin M. Anstee
Giovanni TargherGiovanni Targher
Giovanni Targher
JGJacob George
Jacob George

29 February 2024 in Trends in Endocrinology & Metabolism
Verified
Journal Article
Closed access
LMLei Miao
Lei Miao
GTGiovanni Targher
Giovanni Targher
CBChristopher D. Byrne
Christopher D. Byrne
YCYing-Ying Cao
Ying-Ying Cao
MZMing-Hua Zheng
Ming-Hua Zheng

1 April 2020 in The Lancet Gastroenterology & Hepatology
Verified
Journal Article
Open access
PNPhilip Noel Newsome
Philip Noel Newsome
MSMagali Sasso
Magali Sasso
JDJonathan J Deeks
Jonathan J Deeks
APAngelo Paredes
Angelo Paredes
JBJérôme Boursier
Jérôme Boursier
SHStephen A Harrison
Stephen A Harrison
The burden of non-alcoholic fatty liver disease (NAFLD) is increasing globally, and a major priority is to identify patients with non-alcoholic steatohepatitis (NASH) who are at greater risk of progression to cirrhosis, and who will be candidates for clinical trials and emerging new pharmacotherapies. We aimed to develop a score to identify patients with NASH, elevated NAFLD activity score (NAS≥4), and advanced fibrosis (stage 2 or higher [F≥2]). This prospective study included a derivation cohort before validation in multiple international cohorts. The derivation cohort was a cross-sectional, multicentre study of patients aged 18 years or older, scheduled to have a liver biopsy for suspicion of NAFLD at seven tertiary care liver centres in England. This was a prespecified secondary outcome of a study for which the primary endpoints have already been reported. Liver stiffness measurement (LSM) by vibration-controlled transient elastography and controlled attenuation parameter (CAP) measured by FibroScan device were combined with aspartate aminotransferase (AST), alanine aminotransferase (ALT), or AST:ALT ratio. To identify those patients with NASH, an elevated NAS, and significant fibrosis, the best fitting multivariable logistic regression model was identified and internally validated using boot-strapping. Score calibration and discrimination performance were determined in both the derivation dataset in England, and seven independent international (France, USA, China, Malaysia, Turkey) histologically confirmed cohorts of patients with NAFLD (external validation cohorts). This study is registered with ClinicalTrials.gov, number NCT01985009. Between March 20, 2014, and Jan 17, 2017, 350 patients with suspected NAFLD attending liver clinics in England were prospectively enrolled in the derivation cohort. The most predictive model combined LSM, CAP, and AST, and was designated FAST (FibroScan-AST). Performance was satisfactory in the derivation dataset (C-statistic 0·80, 95% CI 0·76-0·85) and was well calibrated. In external validation cohorts, calibration of the score was satisfactory and discrimination was good across the full range of validation cohorts (C-statistic range 0·74-0·95, 0·85; 95% CI 0·83-0·87 in the pooled external validation patients' cohort; n=1026). Cutoff was 0·35 for sensitivity of 0·90 or greater and 0·67 for specificity of 0·90 or greater in the derivation cohort, leading to a positive predictive value (PPV) of 0·83 (84/101) and a negative predictive value (NPV) of 0·85 (93/110). In the external validation cohorts, PPV ranged from 0·33 to 0·81 and NPV from 0·73 to 1·0. The FAST score provides an efficient way to non-invasively identify patients at risk of progressive NASH for clinical trials or treatments when they become available, and thereby reduce unnecessary liver biopsy in patients unlikely to have significant disease. Echosens and UK National Institute for Health Research.

1 October 2019 in Cell Metabolism
Verified
Journal Article
Closed access
JYJing Yuan
Jing Yuan
CCChen Chen
Chen Chen
JCJinghua Cui
Jinghua Cui
JLJing Lu
Jing Lu
CYChao Yan
Chao Yan
DLDi Liu
Di Liu

14 August 2024 in Metabolism
Verified
Journal Article
Closed access
HZHuai Zhang
Huai Zhang
XZXiao-Dong Zhou
Xiao-Dong Zhou
MSMichael D. Shapiro
Michael D. Shapiro
GLGregory Y.H. Lip
Gregory Y.H. Lip
HTHerbert Tilg
Herbert Tilg
MZMing-Hua Zheng
Ming-Hua Zheng

14 May 2020 in Diabetes Care
Verified
Journal Article
Closed access
PDF file
FGFeng Gao
Feng Gao
KZKenneth I. Zheng
Kenneth I. Zheng
XWXiao-Bo Wang
Xiao-Bo Wang
QSQing-Feng Sun
Qing-Feng Sun
KPKe-Hua Pan
Ke-Hua Pan
MZMing-Hua Zheng
Ming-Hua Zheng