Epidemiology, linkage to care and natural history of women of childbearing age with chronic hepatitis B: A population‐based study
Bibliographic record
Abstract
Pregnant women with chronic hepatitis B (CHB) are a priority population for hepatitis B care. Identification of HBV status prior to pregnancy would facilitate timely maternal interventions and perinatal care. In our study, we aimed to study the epidemiology of CHB among women of childbearing age (WoCBA, 18-49 years) in Alberta, Canada. We retrospectively analysed Alberta Analytics databases to study CHB epidemiology, natural history and care linkage among WoCBA in Alberta, between April 2012 and March 2021. A Poisson regression was conducted to estimate incidence of newly identified CHB cases and prevalence trends, whereas predictors of care linkage were determined using logistic regression. Age/sex-adjusted incidence of newly identified CHB among WoCBA between 2015 and 2020 was 36.2/100,000 person/years, highest among individuals aged 30-39 years. Incidence of newly identified CHB decreased from 52.6 to 18.2/100,000 between 2015 and 2020, but prevalence increased from 131.7 to 248.6/100,000 in the same period. Newly identified CHB incident cases (n = 2124) had lower survival rates than age/sex-matched Canadians, with a standardized mortality ratio of 5.7 (95% CI 2.6-11.0). Increasing age (years) at diagnosis (HR, 1.2; 95% CI 1.1-1.3) was independently associated with mortality. Comorbid hepatocellular carcinoma, anti-HBV treatment and year of diagnosis were not significantly associated with mortality. Of the 1927 women with 2436 hepatitis B surface antigen-positive pregnancies from 2012 to 2020, only 27.6% had recommended HBV assessment during pregnancy. Of those women meeting criteria for antiviral therapy to prevent mother-to-child transmission (MTCT), only 66.4% received treatment. Suboptimal management during pregnancy and overall lower survival rates highlight the need to address care linkage barriers in women of childbearing age living with CHB.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".