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A Dynamic Aspartate‐to‐Alanine Aminotransferase Ratio Provides Valid Predictions of Incident Severe Liver Disease

Authors :
Fredrik Åberg
Christopher J. Danford
Maja Thiele
Mats Talbäck
Ditlev Nytoft Rasmussen
Z. Gordon Jiang
Niklas Hammar
Patrik Nasr
Mattias Ekstedt
Anna But
Pauli Puukka
Aleksander Krag
Jouko Sundvall
Iris Erlund
Veikko Salomaa
Per Stål
Stergios Kechagias
Rolf Hultcrantz
Michelle Lai
Nezam Afdhal
Antti Jula
Satu Männistö
Annamari Lundqvist
Markus Perola
Martti Färkkilä
Hannes Hagström
Source :
Hepatology Communications, Vol 5, Iss 6, Pp 1021-1035 (2021)
Publication Year :
2021
Publisher :
Wolters Kluwer Health/LWW, 2021.

Abstract

The aspartate‐to‐alanine aminotransferase ratio (AAR) is associated with liver fibrosis, but its predictive performance is suboptimal. We hypothesized that the association between AAR and liver disease depends on absolute transaminase levels and developed and validated a model to predict liver‐related outcomes in the general population. A Cox regression model based on age, AAR, and alanine aminotransferase (ALT) level (dynamic AAR [dAAR]) using restricted cubic splines was developed in Finnish population‐based health‐examination surveys (FINRISK, 2002‐2012; n = 18,067) with linked registry data for incident liver‐related hospitalizations, hepatocellular carcinoma, or liver death. The model was externally validated for liver‐related outcomes in a Swedish population cohort (Swedish Apolipoprotein Mortality Risk [AMORIS] subcohort; n = 126,941) and for predicting outcomes and/or prevalent fibrosis/cirrhosis in biopsied patients with nonalcoholic fatty liver disease (NAFLD), chronic hepatitis C, or alcohol‐related liver disease (ALD). The dynamic AAR model predicted liver‐related outcomes both overall (optimism‐corrected C‐statistic, 0.81) and in subgroup analyses of the FINRISK cohort and identified persons with >10% risk for liver‐related outcomes within 10 years. In independent cohorts, the C‐statistic for predicting liver‐related outcomes up to a 10‐year follow‐up was 0.72 in the AMORIS cohort, 0.81 in NAFLD, and 0.75 in ALD. Area‐under‐the‐curve (AUC) for detecting prevalent cirrhosis was 0.80‐0.83 in NAFLD, 0.80 in hepatitis C, but only 0.71 in ALD. In ALD, model performance improved when using aspartate aminotransferase instead of ALT in the model (C‐statistic, 0.84 for outcome; AUC, 0.82 for prevalent cirrhosis). Conclusion: A dAAR score provides prospective predictions for the risk of incident severe liver outcomes in the general population and helps detect advanced liver fibrosis/cirrhosis. The dAAR score could potentially be used for screening the unselected general population and as a trigger for further liver evaluations.

Details

Language :
English
ISSN :
2471254X
Volume :
5
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Hepatology Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.be82f37a35346fa89a804d5505c178a
Document Type :
article
Full Text :
https://doi.org/10.1002/hep4.1700