Simplified criteria for the diagnosis of autoimmune hepatitis†

Elke Hennes(University Medical Center Hamburg-Eppendorf), Mikio Zeniya(Jikei University School of Medicine), Albert J. Czaja(Mayo Clinic in Arizona), Albert Parés, George N. Dalekos(University of Thessaly), Edward L. Krawitt(University of Vermont), Paulo Lisboa Bittencourt(Universidade de São Paulo), Gilda Porta(Universidade de São Paulo), Kirsten Muri Boberg, Harald Hofer(Medical University of Vienna), Francesco B. Bianchi(University of Bologna), Minoru Shibata(NTT Medical Center), Christoph Schramm(University Medical Center Hamburg-Eppendorf), Bárbara Torres(Johannes Gutenberg University Mainz), Peter R. Galle(Johannes Gutenberg University Mainz), Ian G. McFarlane(King's College Hospital), Hans‐Peter Dienes, Ansgar W. Lohse(GTx (United States))
Hepatology
March 19, 2008
Cited by 1,871Open Access
Full Text

Abstract

UNLABELLED: Diagnosis of autoimmune hepatitis (AIH) may be challenging. However, early diagnosis is important because immunosuppression is life-saving. Diagnostic criteria of the International Autoimmune Hepatitis Group (IAIHG) were complex and purely meant for scientific purposes. This study of the IAIHG aims to define simplified diagnostic criteria for routine clinical practice. Candidate criteria included sex, age, autoantibodies, immunoglobulins, absence of viral hepatitis, and histology. The training set included 250 AIH patients and 193 controls from 11 centers worldwide. Scores were built from variables showing predictive ability in univariate analysis. Diagnostic value of each score was assessed by the area under the receiver operating characteristic (ROC) curve. The best score was validated using data of an additional 109 AIH patients and 284 controls. This score included autoantibodies, immunoglobulin G, histology, and exclusion of viral hepatitis. The area under the curve for prediction of AIH was 0.946 in the training set and 0.91 in the validation set. Based on the ROC curves, two cutoff points were chosen. The score was found to have 88% sensitivity and 97% specificity (cutoff > or =6) and 81% sensitivity and 99% specificity (cutoff > or =7) in the validation set. CONCLUSION: A reliable diagnosis of AIH can be made using a very simple diagnostic score. We propose the diagnosis of probable AIH at a cutoff point greater than 6 points and definite AIH 7 points or higher.


Related Papers

No related papers found

Powered by citation graph analysis