ArticleJHEP reports : innovation in hepatology2024
Validation of NIAAAm-CRP criteria to predict alcohol-associated steatohepatitis on liver histology.
Article in JHEP reports : innovation in hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Steatotic liver disease trajectory: A holistic EASL guidance on the multidisciplinary approach to screening and patient management.JHEP reports : innovation in hepatology · 2026Review
- Ahead, a Novel Validated Machine Learning Model for Clinical Diagnosis of Alcohol Associated Hepatitis.Research square · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 9 institutions in 8 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background & Aims: In clinical practice, the diagnosis of alcohol-associated hepatitis (AH) is mostly based on non-invasive criteria, which were defined at a consensus conference by the National Institute on Alcohol Abuse and Alcoholism (NIAAA). These criteria were recently modified by adding C-reactive protein (CRP) and termed NIAAAm-CRP criteria, which showed superior diagnostic accuracy for presence of alcohol-associated steatohepatitis (ASH) on liver histology. The aim of our study was to validate the diagnostic accuracy of both original NIAAA criteria and NIAAAm-CRP criteria for presence of ASH on liver histology in an independent cohort. Methods: Data from a large multinational cohort of 445 patients with alcohol-associated liver disease (ALD) that served to establish a novel grading and staging system of alcohol-associated liver disease were analyzed retrospectively. Diagnosis of ASH was based on presence of hepatocyte ballooning plus lobular neutrophil infiltration and established in virtual consensus meetings of multiple expert liver pathologists. Results: Complete data including CRP values were available in 346 patients. Overall diagnostic accuracy for prediction of ASH was 73% for NIAAA criteria and 77% for NIAAAm-CRP criteria. In a subgroup with suspected severe AH (MELD >20, n = 123), overall diagnostic accuracy for prediction of ASH was 69% for NIAAA criteria and 74% for NIAAAm-CRP criteria. Conclusion: Our findings confirm recent data on suboptimal diagnostic accuracy of original NIAAA criteria and validate slightly better but still suboptimal performance of NIAAAm-CRP criteria for presence of ASH. Impact and Implications: Alcohol-associated steatohepatitis (ASH) is diagnosed on liver histology but liver biopsy is not always feasible. Non-invasive diagnosis based on clinical findings has been proposed using the National Institute on Alcohol Abuse and Alcoholism (NIAAA) criteria and recently improved using NIAAAm-CRP criteria. Our findings validate slightly better but still suboptimal performance of NIAAAm-CRP criteria for the presence of histological ASH. Clinical trials of novel drugs should focus on histologically proven ASH.
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