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acNASH index to diagnose nonalcoholic steatohepatitis: a prospective derivation and global validation study

Authors :
Mohamed El Kassas
Manuel Romero-Gómez
Wah-Kheong Chan
Zhi-Ming Huang
Kenneth I. Zheng
Yusuf Yilmaz
Christopher D. Byrne
Ming-Hua Zheng
Xi-Xi Wu
Giovanni Targher
Jérôme Boursier
Hémodynamique, Interaction Fibrose et Invasivité tumorales Hépatiques (HIFIH)
Université d'Angers (UA)
Centro de Investigación Biomédica en Red en el Área temática de Enfermedades Hepáticas y Digestivas (CIBERehd)
Liver Unit, Clínica Universitaria, CIBER-EHD
Helwan University [Caire]
University of Verona (UNIVR)
National Natural Science Foundation of China
Public Health Department of Zhejiang Province
Wu, Xi-Xi
Zheng, Kenneth, I
Boursier, Jerome
Chan, Wah-Kheong
Yilmaz, Yusuf
Romero-Gomez, Manuel
El Kassas, Mohamed
Targher, Giovanni
Byrne, Christopher D.
Huang, Zhi-Ming
Zheng, Ming-Hua
Source :
EClinicalMedicine, EClinicalMedicine, Elsevier, 2021, 41, pp.101145. ⟨10.1016/j.eclinm.2021.101145⟩, EClinicalMedicine, Vol 41, Iss, Pp 101145-(2021), Digital.CSIC. Repositorio Institucional del CSIC, instname
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

[Background] There is an unmet need for non-invasive biomarkers for the diagnosis of nonalcoholic steatohepatitis (NASH) in non-specialized settings. We aimed to develop and validate a non-invasive test for diagnosing NASH in individuals with biopsy-proven nonalcoholic fatty liver disease (NAFLD).<br />[Methods] We developed a non-invasive test named the acNASH index that combines serum creatinine and aspartate aminotransferase levels in a derivation cohort of 390 Chinese NAFLD patients admitted to the hepatology center of the First Affiliated Hospital of Wenzhou Medical University (China) between December 2016 and September 2019 and subsequently validated in five external cohorts of different ethnicities of patients with biopsy-confirmed NAFLD (pooled n=1,089).<br />[Findings] The performance of the acNASH index for identifying NASH (defined as NAFLD activity score ≥5 with score of ≥1 for each steatosis, lobular inflammation and ballooning) was good in the derivation cohort with an area under receiver operating characteristics (AUROC) of 0·818 (95%CI 0·777-0·860). A cutoff of acNASH index 7·73 gave a Sp of 91%, Se of 53% and a positive predictive value (PPV) of 85% for ruling-in NASH. In the pooled validation cohort (n=1,089), the diagnostic performance of the index was also good with AUROC=0·805 (95%CI 0·780-0·830), NPV of 93% for ruling-out NASH and PPV of 73% for ruling-in NASH. Subgroup analyses showed similar performance in patients with diabetes or subjects with normal serum transaminase levels.<br />[Interpretation] The acNASH index shows promising utility as a simple non-invasive biomarker for diagnosing NASH among adults with biopsy-proven NAFLD of different ethnicities from different countries.<br />The National Natural Science Foundation of China (82070588), High Level Creative Talents from Department of Public Health in Zhejiang Province (S2032102600032) and Project of New Century 551 Talent Nurturing in Wenzhou.

Subjects

Subjects :
nonalcoholic fatty liver disease
Metabolic dysfunction-associated fatty liver disease
Medicine (General)
Prospective Epidemic Research Specifically Of NASH
ALT
type 2 diabetes mellitus
0302 clinical medicine
aspartate aminotransferase
HBV
FIBROSIS
Medicine
GAA
negative predictive value
ComputingMilieux_MISCELLANEOUS
0303 health sciences
CKD-EPI, Chronic Kidney Disease Epidemiology Collaboration
AUROC
NAS, NAFLD Activity Score
URINARY CREATININE
NASH
ASSOCIATION
General Medicine
HBV, chronic viral hepatitis B
Primary care
3. Good health
CRN
NPV, negative predictive value
HCV
030211 gastroenterology & hepatology
NASH, nonalcoholic steatohepatitis
medicine.medical_specialty
Renal function
T2DM
digestive system
NPV
03 medical and health sciences
R5-920
NAFLD
metabolic dysfunction-associated fatty liver disease
metabolic dysfunction-associated fatty liver
screening
nutritional and metabolic diseases
scoring system
T2DM, type 2 diabetes mellitus
medicine.disease
sensitivity
digestive system diseases
Clinical Research Network
NAS
chronic viral hepatitis C
HCV, chronic viral hepatitis C
chronic viral hepatitis B
NAFLD, nonalcoholic fatty liver disease
area under receiver operating characteristics
Body mass index
Sp
estimated glomerular filtration rate
BMI, body mass index
[SDV]Life Sciences [q-bio]
CKD-EPI
specificity
AST, aspartate aminotransferase
CKD-EPI, Chronic Kidney Disease Epidemiology Collaboration
GAA, guanidine-acetic acid
Nonalcoholic fatty liver disease
MUSCLE MASS
SCr
Se, sensitivity
PERSONS, Prospective Epidemic Research Specifically Of NASH
guanidine-acetic acid
Screening
Biomarker (medicine)
Se
Research Paper
CRN, Clinical Research Network
alanine aminotransferase
Epidemiology&nbsp
body mass index
PPV
NAFLD Activity Score
serum creatinine
e-GFR
BMI
primary care
Diabetes mellitus
Internal medicine
ALT, alanine aminotransferase
PERSONS
SCr, serum creatinine
Nonalcoholic steatohepatitis
AST
FATTY LIVER-DISEASE
030304 developmental biology
e-GFR, estimated glomerular filtration rate
disease
Receiver operating characteristic
business.industry
Hepatology
Collaboration
BIOMARKER PANEL
PPV, positive predictive value
MODEL
Chronic Kidney Disease&nbsp
AUROC, area under receiver operating characteristics
positive predictive value
Sp, specificity
Steatosis
business

Details

Language :
English
ISSN :
25895370
Database :
OpenAIRE
Journal :
EClinicalMedicine, EClinicalMedicine, Elsevier, 2021, 41, pp.101145. ⟨10.1016/j.eclinm.2021.101145⟩, EClinicalMedicine, Vol 41, Iss, Pp 101145-(2021), Digital.CSIC. Repositorio Institucional del CSIC, instname
Accession number :
edsair.doi.dedup.....8e70497055a256087a494f728dc1bb40