Retrospective Cohort Study on the Impact of the COVID-19 Pandemic on Pregnancy Outcomes for Women Living With HIV in British Columbia
Bibliographic record
Abstract
BACKGROUND: For pregnant women living with HIV (WLWH), engagement in care is crucial to maternal health and reducing the risk of perinatal transmission. To date, there have been no studies in Canada examining the impact of the COVID-19 pandemic on pregnant WLWH. METHODS: This was a retrospective cohort study assessing the impact of the pandemic on perinatal outcomes for pregnant WLWH using data from the Perinatal HIV Surveillance Program in British Columbia, Canada. We compared maternal characteristics, pregnancy outcomes, and clinical indicators related to engagement with care between a prepandemic (January 2017-March 2020) and pandemic cohort (March 2020-December 2022). We investigated preterm birth rates with explanatory variables using logistic regression analysis. RESULTS: The prepandemic cohort (n = 87) had a significantly (P < 0.05) lower gestational age at the first antenatal encounter (9.0 vs 11.8) and lower rates of preterm births compared with the pandemic cohort (n = 56; 15% vs 37%). Adjusted odds of preterm birth increased with the presence of substance use in pregnancy (aOR = 10.45, 95% confidence interval: 2.19 to 49.94) in WLWH. There were 2 cases of perinatal transmission of HIV in the pandemic cohort, whereas the prepandemic cohort had none. CONCLUSIONS: The pandemic had pronounced effects on pregnant WLWH and their infants in British Columbia including higher rates of preterm birth and higher gestational age at the first antenatal encounter. The nonstatistically significant increase in perinatal transmission rates is of high clinical importance.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| 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".