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A Sequential Algorithm Combining ADAPT and Liver Stiffness Can Stage Metabolic-Associated Fatty Liver Disease in Hospital-Based and Primary Care Patients.
Eslam, Mohammed; Wong, Grace Lai-Hung; Hashem, Ahmed M; Chan, Henry Lik-Yuen; Nielsen, Mette Juul; Leeming, Diana Julie; Chan, Anthony Wing-Hung; Chen, Yu; Duffin, Kevin L; Karsdal, Morten; Schattenberg, Jörn M; George, Jacob; Wong, Vincent Wai-Sun.
Afiliación
  • Eslam M; Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital, Westmead, and University of Sydney, Sydney, Australia.
  • Wong GL; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
  • Hashem AM; State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China.
  • Chan HL; Department of Systems and Biomedical Engineering, Faculty of Engineering, Minia University, Minia, Egypt.
  • Nielsen MJ; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
  • Leeming DJ; State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China.
  • Chan AW; Nordic Bioscience Biomarkers and Research A/S, Herlev, Denmark.
  • Chen Y; Nordic Bioscience Biomarkers and Research A/S, Herlev, Denmark.
  • Duffin KL; Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong, China.
  • Karsdal M; Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA.
  • Schattenberg JM; Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA.
  • George J; Nordic Bioscience Biomarkers and Research A/S, Herlev, Denmark.
  • Wong VW; Department of Medicine, University Medical Centre, Johannes Gutenberg University, Mainz, Germany.
Am J Gastroenterol ; 116(5): 984-993, 2021 05 01.
Article en En | MEDLINE | ID: mdl-33252454
ABSTRACT

INTRODUCTION:

Metabolic-associated fatty liver disease is common, with fibrosis the major determinant of adverse outcomes. Population-based screening tools with high diagnostic accuracy for the staging of fibrosis are lacking.

METHODS:

Three independent cohorts, 2 with both liver biopsy and liver stiffness measurements (LSMs, n = 254 and 65) and a population sample (n = 713), were studied. The performance of a recently developed noninvasive algorithm (ADAPT [age, diabetes, PRO-C3 and platelets panel]) as well as aspartate aminotransferase-to-platelet ratio index, fibrosis-4, nonalcoholic fatty liver disease fibrosis score, and LSM was used to stage patients for significant (≥F2) and advanced (≥F3) fibrosis.

RESULTS:

In the hospital-based cohorts, the N-terminal propeptide of type 3 collagen (Pro-C3) increased with fibrosis stage (P < 0.0001) and independently associated with advanced fibrosis (odds ratio = 1.091, 95% confidence interval [CI] 1.053-1.113, P = 0.0001). ADAPT showed areas under the receiver operating characteristics curve of 0.831 (95% CI 0.779-0.875) in the derivation and 0.879 (95% CI 0.774-0.946) in the validation cohort for advanced fibrosis. This was superior to the existing fibrosis scores, aspartate aminotransferase-to-platelet ratio index, fibrosis-4, BARD (BMI, aspartate aminotransferase to alanine aminotransferase ratio [AAR], diabetes), and nonalcoholic fatty liver disease fibrosis score in most comparisons and comparable with LSM. Serial use of ADAPT and LSM had diagnostic accuracy of 92.5%, with 98% and 100% negative predictive value in the derivation and validation cohorts, respectively. In the population cohort, PRO-C3 associated with advanced fibrosis (P = 0.04), while ADAPT had a negative predictive value of 98% for excluding advanced fibrosis.

DISCUSSION:

PRO-C3 and ADAPT reliably exclude advanced fibrosis in low-risk populations. The serial combination of ADAPT with LSM has high diagnostic accuracy with a low requirement for liver biopsy. The proposed algorithm would help stratify those who need biopsies and narrow down those patients who would need to be referred to specialty clinics.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Enfermedad del Hígado Graso no Alcohólico Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Enfermedad del Hígado Graso no Alcohólico Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Año: 2021 Tipo del documento: Article