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Record W7106039618 · doi:10.7939/83530

Sex, Ethnicity and Clinical Outcomes in Autoimmune Hepatitis: Results from a Large, Multicenter, Longitudinal Cohort Study in Canada

2025· dissertation· en· W7106039618 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Alberta Library · 2025
Typedissertation
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsnot available
Fundersnot available
KeywordsLiver diseaseAutoimmune hepatitisCohortCirrhosisProportional hazards modelChronic liver diseaseCohort studyProspective cohort studyHepatocellular carcinoma

Abstract

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Introduction: Autoimmune hepatitis (AIH) is a rare, chronic liver disease characterized by inflammation and immune-mediated damage of the liver tissue. AIH affects both sexes and all ages and ethnicities; although disease characteristics, progression and outcomes vary between these populations. The disease has an acute or chronic progressive course and may eventually lead to progressive liver fibrosis, cirrhosis and/or liver decompensation with some patients requiring a liver transplant (LT). Sex and ethnicity have been shown to affect the survival and clinical outcomes of other liver diseases; however, their influence on the progression of AIH is unclear. The aims of this thesis were to analyze the clinical significance of sex and ethnicity on treatment response and adverse clinical events in patients with AIH. Methods: We conducted a retrospective and prospective cohort study of patients with AIH from the Canadian Network for Autoimmune Liver disease (CaNAL). CaNAL is a collaboration between 15 academic and clinical liver care centers across Canada to create a large, national registry of people living with autoimmune liver diseases including AIH. We collected key demographic variables including sex and ethnicity and clinical and outcome variables, such as laboratory parameters (alanine transaminase (ALT)), development of cirrhosis and liver decompensation, LT, hepatocellular carcinoma (HCC) and death. We defined an adverse clinical event as a composite endpoint that included the development of decompensation, LT, HCC or death. A univariate and multivariate Cox regression was conducted to examine associations between sex and ethnicity and adverse clinical events. Results: Using a cohort of 1198 patients with AIH, we found that in comparison to females, males were younger at the time of AIH diagnosis (39.2 ± 19.5 vs. 45.0 ± 18.3 years, p<0.001); a higher proportion of males also developed HCC (4.0% vs. 1.8%, p=0.045) and underwent LT (19.3% vs. 9.1%, p<0.001). Male patients also demonstrated a lower treatment response compared to females (36.6% vs. 56.7%, p<0.001). In the multivariate analysis, male sex was associated with a higher risk for the development of an adverse clinical event such as liver decompensation, LT, HCC or death (HR 2.05, 95% CI 1.31-3.19, p=0.002). Compared to the White ethnicity, only Indigenous patients had a higher risk of developing an adverse clinical event in the multivariate analysis (HR 2.91, 95% CI 1.04-8.16, p=0.043). A greater proportion of Indigenous patients also had decompensation at diagnosis (23.5% vs. 8.5%, p=0.008), developed decompensation over the course of the disease (34.6% vs. 18.0%, p=0.040), underwent LT (26.5% vs. 11.3%, p=0.013) and died (26.5% vs. 13.0%, p=0.036) compared to non-Indigenous patients, but there was no significant difference in treatment response (60.0% vs. 51.4%, p=0.752). Conclusions: Male patients with AIH have a higher risk of developing adverse clinical events such as liver decompensation, HCC, LT or death and have a lower treatment response compared to females. From the ethnicity perspective, Indigenous patients with AIH have a higher risk of developing adverse clinical events compared to other ethnicities. Our results warrant consideration of tailoring treatment and follow-up strategies according to risk stratifications by sex and ethnicity in order to improve clinical outcomes and survival for at-risk groups, such as males and Indigenous patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.258
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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