Optimisation of the use of APRI and FIB-4 to rule out cirrhosis in patients with chronic hepatitis B: results from the SONIC-B study.


Journal

The lancet. Gastroenterology & hepatology
ISSN: 2468-1253
Titre abrégé: Lancet Gastroenterol Hepatol
Pays: Netherlands
ID NLM: 101690683

Informations de publication

Date de publication:
07 2019
Historique:
received: 01 01 2019
revised: 07 02 2019
accepted: 21 02 2019
pubmed: 13 4 2019
medline: 23 5 2020
entrez: 13 4 2019
Statut: ppublish

Résumé

Ruling out the presence of cirrhosis is important for the management of chronic hepatitis B. We aimed to study and optimise the performance of two non-invasive indices for ruling out cirrhosis: the aspartate aminotransferase-platelet ratio index (APRI) and fibrosis score based on four factors (FIB-4). We applied established cutoffs to rule in (APRI >2·00; FIB-4 >3·25) or rule out (APRI <1·00; FIB-4 <1·45) cirrhosis to data from eight global randomised trials that required baseline biopsy, and identified new cutoffs aiming for a sensitivity for detection of cirrhosis greater than 90% and a negative predictive value (NPV) of greater than 95% in the same dataset. We externally validated the new cutoffs using data from all consecutive biopsied patients from two tertiary referral hospitals in the Netherlands and Canada. In the derivation dataset (n=2926; of whom 1750 were Asian); 340 (12%) individuals had cirrhosis. The validation cohort consisted of 1034 individuals (of whom 575 were Asian), with 155 (15%) individuals with cirrhosis. Application of conventional cutoffs for FIB-4 in the derivation dataset yielded unclassifiable results in 686 (23%) individuals, and 139 (41%) of the 340 patients with cirrhosis were misclassified as having no cirrhosis. Similarly, conventional cutoffs for APRI in the derivation dataset yielded unclassifiable results in 706 (24%) individuals, and 153 (45%) were misclassified as having no cirrhosis. An APRI of 0·45 or less had sensitivity of 91·5%, an NPV of 95·4%, and misclassified 29 (9%) of 340 individuals with cirrhosis in the derivation dataset, but performance was reduced in the validation set (22 [14%] of 155 individuals with cirrhosis misclassified). A FIB-4 score of 0·70 had a sensitivity of 90·9%, an NPV of 96·6%, and misclassified 31 (9%) of individuals with cirrhosis in the derivation dataset. In the validation cohort, the same score gave a sensitivity of 94·2%, an NPV of 97·3%, and misclassified nine (6%) of the individuals with cirrhosis. Subgroup analysis indicated that the new FIB-4 cutoff performed acceptably in all subgroups except for individuals aged 30 years or younger. Conventional cutoffs for APRI and FIB-4 should not be used to guide management of patients with chronic hepatitis B due to high rates of misclassification. A newly identified and externally validated cutoff for FIB-4 (≤0·70) can be used to exclude cirrhosis in patients over 30 years of age. Foundation for Liver and Gastrointestinal Research, Rotterdam, Netherlands.

Sections du résumé

BACKGROUND
Ruling out the presence of cirrhosis is important for the management of chronic hepatitis B. We aimed to study and optimise the performance of two non-invasive indices for ruling out cirrhosis: the aspartate aminotransferase-platelet ratio index (APRI) and fibrosis score based on four factors (FIB-4).
METHODS
We applied established cutoffs to rule in (APRI >2·00; FIB-4 >3·25) or rule out (APRI <1·00; FIB-4 <1·45) cirrhosis to data from eight global randomised trials that required baseline biopsy, and identified new cutoffs aiming for a sensitivity for detection of cirrhosis greater than 90% and a negative predictive value (NPV) of greater than 95% in the same dataset. We externally validated the new cutoffs using data from all consecutive biopsied patients from two tertiary referral hospitals in the Netherlands and Canada.
FINDINGS
In the derivation dataset (n=2926; of whom 1750 were Asian); 340 (12%) individuals had cirrhosis. The validation cohort consisted of 1034 individuals (of whom 575 were Asian), with 155 (15%) individuals with cirrhosis. Application of conventional cutoffs for FIB-4 in the derivation dataset yielded unclassifiable results in 686 (23%) individuals, and 139 (41%) of the 340 patients with cirrhosis were misclassified as having no cirrhosis. Similarly, conventional cutoffs for APRI in the derivation dataset yielded unclassifiable results in 706 (24%) individuals, and 153 (45%) were misclassified as having no cirrhosis. An APRI of 0·45 or less had sensitivity of 91·5%, an NPV of 95·4%, and misclassified 29 (9%) of 340 individuals with cirrhosis in the derivation dataset, but performance was reduced in the validation set (22 [14%] of 155 individuals with cirrhosis misclassified). A FIB-4 score of 0·70 had a sensitivity of 90·9%, an NPV of 96·6%, and misclassified 31 (9%) of individuals with cirrhosis in the derivation dataset. In the validation cohort, the same score gave a sensitivity of 94·2%, an NPV of 97·3%, and misclassified nine (6%) of the individuals with cirrhosis. Subgroup analysis indicated that the new FIB-4 cutoff performed acceptably in all subgroups except for individuals aged 30 years or younger.
INTERPRETATION
Conventional cutoffs for APRI and FIB-4 should not be used to guide management of patients with chronic hepatitis B due to high rates of misclassification. A newly identified and externally validated cutoff for FIB-4 (≤0·70) can be used to exclude cirrhosis in patients over 30 years of age.
FUNDING
Foundation for Liver and Gastrointestinal Research, Rotterdam, Netherlands.

Identifiants

pubmed: 30975477
pii: S2468-1253(19)30087-1
doi: 10.1016/S2468-1253(19)30087-1
pii:
doi:

Substances chimiques

Biomarkers 0
Aspartate Aminotransferases EC 2.6.1.1

Types de publication

Evaluation Study Journal Article Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

538-544

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Milan J Sonneveld (MJ)

Department of Gastroenterology and Hepatology, Erasmus MC University Medical Center, Rotterdam, Netherlands.

Willem P Brouwer (WP)

Department of Gastroenterology and Hepatology, Erasmus MC University Medical Center, Rotterdam, Netherlands.

Henry L-Y Chan (HL)

Department of Medicine and Therapeutics and Institute of Digestive Disease, the Chinese University of Hong Kong, Hong Kong SAR, China.

Teerha Piratvisuth (T)

NKC Institute of Gastroenterology and Hepatology, Songklanagarind Hospital, Prince of Songkla University, Hat Yai, Thailand.

Ji-Dong Jia (JD)

Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

Stefan Zeuzem (S)

Medical Clinic 1, Johann Wolfgang Goethe University Medical Center, Frankfurt, Germany.

Yun-Fan Liaw (YF)

Liver Research Unit, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taipei, Taiwan.

Bettina E Hansen (BE)

Toronto Centre for Liver Disease, University Health Network, Toronto, Canada; IHPME, University of Toronto, Toronto, Canada.

Hannah Choi (H)

Toronto Centre for Liver Disease, University Health Network, Toronto, Canada.

Cynthia Wat (C)

Roche Products Ltd, Welwyn Garden City, UK.

Vedran Pavlovic (V)

Roche Products Ltd, Welwyn Garden City, UK.

Anuj Gaggar (A)

Gilead Sciences, Foster City, CA, USA.

Qing Xie (Q)

Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Maria Buti (M)

Liver Unit, Department of Internal Medicine, Hospital Universitari Vall d'Hebron and Universitat Autònoma de Barcelona Liver Unit, Hospital Universitari Vall d'Hebron and CIBEHED del Instituto Carlos III, Barcelona, Spain.

Robert J de Knegt (RJ)

Department of Gastroenterology and Hepatology, Erasmus MC University Medical Center, Rotterdam, Netherlands.

Harry L A Janssen (HLA)

Department of Gastroenterology and Hepatology, Erasmus MC University Medical Center, Rotterdam, Netherlands; Toronto Centre for Liver Disease, University Health Network, Toronto, Canada. Electronic address: harry.janssen@uhn.ca.

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