1127Seroconversion for Cytomegalovirus in a Canadian Cohort of Pregnant Women
Bibliographic record
Abstract
Background. Cytomegalovirus (CMV) is the leading cause of congenital infection and non-genetic sensorineuronal hearing loss in children. CMV primo-infection occurring during pregnancy has the highest risk of symptomatic infection in the newborn. There are no recent data on the incidence of CMV infection during pregnancy in Canada. Methods. This study used serum samples and questionnaire data collected as part of the 3D Pregnancy and Birth Cohort Study (Quebec, Canada, 2010-2013) designed to investigate the effect of a range of prenatal factors on birth outcomes. Consent allowed for subsequent use of data and biobanked biological specimens. Women who had serum banked from both the end of the first trimester and the third trimester were included. Serum CMV IgG antibodies were determined. Women who were seronegative in early pregnancy had their late serum tested to determine conversion rates. Associations between independent variables and seroprevalence were assessed using logistic regression, and associations with seroconversions, by Poisson regression. Results. Of 1938 subjects tested in early pregnancy, 1156 (59.6%) were seronegative for CMV, and 35 seroconverted (3.0%) by the end of pregnancy. The seroconversion rate was 2.0 (95% CI 1.4-2.8) per 10,000 person-days at risk or 5.7 (95% CI 4.0-7.9) per 100 pregnancies assuming a 280-day gestation. Maternal factors independently associated with seropositivity were working as a daycare educator or a kindergarten teacher (OR= 5.0, 95% CI 1.8-13.9), first language other than French or English (OR = 4.0, 95% CI 2.7-5.5), being born outside Canada or USA (OR = 4.0, 95% CI 2.9-5.3), lower education (primary or secondary vs university, OR = 2.6, 95% CI 1.8-3.7), and having had children (OR 1.3, 95% CI 1.1-1.7). Among initially seronegative pregnant women, those born outside Canada or USA were at higher risk of seroconversion (RR = 3.1, 95% CI 1.3-7.3). Conclusion. Nearly 60% of pregnant women in this cohort were susceptible to CMV in early pregnancy. Overall seroconversion rates approaching 6% are of concern with seronegative women born outside Canada and the USA being at higher risk; targeted interventions may be needed in this group. Further data are needed on the effectiveness of public health prevention strategies. Disclosures. All authors: No reported disclosures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".