Prevalence and Impact of Hepatitis E Virus Infection Among Persons With Chronic Hepatitis B Living in the US and Canada
Bibliographic record
Abstract
BACKGROUND: Patients with chronic hepatitis B virus (HBV) may experience spontaneous biochemical flares of liver disease activity. This study aimed to determine (i) the prevalence of prior and possible acute hepatitis E virus (HEV) infection among persons with chronic HBV and (ii) whether HEV infection is associated with liver disease flares among persons with chronic HBV. METHODS: Serum from a random sample of 600 adults in the Hepatitis B Research Network Cohort Study was tested for HEV RNA and anti-HEV IgM and IgG. Logistic regression models were used to estimate crude and adjusted odds ratios of anti-HEV prevalence for participant characteristics. RESULTS: Anti-HEV IgG and IgM seroprevalence was 28.5% and 1.7%, respectively. No participants had detectable HEV RNA. Of the 10 anti-HEV IgM+ participants, only 1 had elevated serum ALT at seroconversion. The odds of anti-HEV seropositivity (IgG+ or IgM+) were higher in older participants, males, Asians, less educated people, and those born outside the United States and Canada. CONCLUSIONS: Acute HEV infection is a rare cause of serum ALT flares among persons with chronic HBV. The high seroprevalence of anti-HEV IgG among the chronic HBV patients is strongly associated with various demographic factors in this largely Asian American cohort.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".