Maternal placental syndromes among women living with HIV in Ontario: a population-based study
Bibliographic record
Abstract
BACKGROUND: Maternal placental syndromes are associated with adverse fetal outcomes and maternal cardiovascular disease. However, whether HIV infection increases the risk of maternal placental syndromes is unknown. Our objective was to compare the risk of maternal placental syndromes between women living with and without HIV infection in Ontario. METHODS: We conducted a population-based study using health administrative data from Ontario. We identified all pregnancies resulting in a live birth between Apr. 1, 2002, and Mar. 31, 2011; we identified women living with HIV using a validated case-finding algorithm. Our primary composite outcome was maternal placental syndromes, defined as a diagnosis of preeclampsia, eclampsia, placental abruption or placental infarction. We used generalized estimating equations with a logit link function to derive adjusted odds ratios (AORs) and 95% confidence intervals (CI) for the association between HIV infection and maternal placental syndromes. RESULTS: Data from 1 132 871 pregnancies were available for analysis; 634 (0.06%) of the pregnancies were in women living with HIV. After multivariable adjustment, we found no difference in the risk of maternal placental syndromes between women living with HIV and those without HIV infection (5.8% v. 5.6%; AOR 0.85 [95% CI 0.59-1.21]). An increased risk of maternal placental syndromes was associated with pre-existing diabetes (AOR 1.47 [95% CI 1.39-1.54]), pre-existing hypertension (AOR 4.28 [95% CI 4.15-4.42]) and chronic kidney disease (AOR 1.83 [95% CI 1.61-2.08]). INTERPRETATION: Women with HIV are not at increased risk of maternal placental syndromes. Our results underscore the importance of optimizing the management of comorbid illness associated with maternal placental syndromes during the prenatal period for all women, irrespective of HIV status.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".