Evidence map›Paper›PMID 42358983›Full record

ArticleFrontiers in immunology2026

Inflammatory activity stratification improves liver stiffness diagnosis of fibrosis in autoimmune hepatitis.

Yan Huang, Delin Liu, Yunjiang Li, Xu Zhang, Yu Tang

Abstract read
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Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yan HuangHangzhou Xixi Hospital, Affiliated to Zhejiang Chinese Medical University (Hangzhou Sixth People's Hospital), Hangzhou, China.
Delin LiuHangzhou Xixi Hospital, Affiliated to Zhejiang Chinese Medical University (Hangzhou Sixth People's Hospital), Hangzhou, China.
Yunjiang LiHangzhou Xixi Hospital, Affiliated to Zhejiang Chinese Medical University (Hangzhou Sixth People's Hospital), Hangzhou, China.
Xu ZhangHangzhou Xixi Hospital, Affiliated to Zhejiang Chinese Medical University (Hangzhou Sixth People's Hospital), Hangzhou, China.
Yu TangThe Second Affiliated Hospital of Jiaxing University, Jiaxing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the correction value of inflammatory activity stratification on the diagnostic performance of liver stiffness measurement (LSM) for hepatic fibrosis in patients with autoimmune hepatitis (AIH), and to provide evidence for accurate fibrosis assessment in AIH patients. Methods: Clinical data of AIH patients who underwent liver biopsy at our hospital from January 2017 to January 2026 were retrospectively analyzed. All patients underwent LSM by transient elastography within the same period. Patients were divided into the G1-G2 group (mild-to-moderate inflammation) and G3-G4 group (severe inflammation) according to the simplified Scheuer inflammatory grade. Liver pathological fibrosis staging (S0-S4) served as the gold standard. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance of LSM. A correction model was constructed by multivariate logistic regression and internally validated using the Bootstrap method with 1000 resamplings. Results: A total of 86 AIH patients were finally enrolled, including 79 females (91.9%) with a mean age of (54.1 ± 9.1) years. There were 52 patients in the G1-G2 group and 34 in the G3-G4 group. In the overall cohort, the area under the ROC curve (AUC) of LSM for diagnosing S≥2 fibrosis was 0.73 (95% CI: 0.62-0.83), with an optimal cutoff of 8.2 kPa. After inflammation stratification, the AUC in the G1-G2 group (0.85, 95% CI: 0.76-0.94) was significantly higher than that in the G3-G4 group (0.69, 95% CI: 0.54-0.84) (Z = 2.13, P = 0.033). The optimal cutoffs were 7.8 kPa and 9.1 kPa, respectively. A correction formula was established for the G3-G4 group: corrected LSM = raw LSM - 0.4 × inflammatory grade. After correction, the AUC for S≥2 increased to 0.85 (95% CI: 0.76-0.93), sensitivity from 55.0% to 86.7%, and specificity from 88.5% to 69.2% (all P<0.05). Conclusion: The diagnostic performance of LSM for fibrosis in AIH patients is affected by inflammatory activity, and severe inflammation leads to pseudo-elevation of LSM. The inflammation-stratified correction model significantly improves diagnostic accuracy and optimizes fibrosis staging in AIH patients. Further validation is required prior to clinical implementation.

Indexed as

Hepatitis, AutoimmuneInflammationLiverLiver CirrhosisAdultBiopsyElasticity Imaging TechniquesFemaleHumansMaleMiddle AgedRetrospective StudiesROC Curveautoimmune hepatitiscorrection modelelastographyhepatic fibrosisinflammation stratificationliver stiffness measurement

Identifiers

PMID42358983
PMCPMC13291146

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.