Placental pathology in HIV infection at term: a comparison with HIV‐uninfected women
Bibliographic record
Abstract
OBJECTIVES: To describe and correlate placental characteristics from pregnancies in HIV-infected and HIV-negative women with maternal and infant clinical and immunological data. METHODS: Prospective descriptive study of placentas from term, uncomplicated vaginal births in a cohort of HIV-infected (n = 120) and HIV-negative (n = 103) women in Cape Town, South Africa. Microscopic and macroscopic features were used to determine pathological cluster diagnoses. The majority of HIV-infected women received some form of drug treatment for the prevention of vertical transmission of HIV. Data were analysed using logistic regression. RESULTS: HIV-infected women were older (median [IQR] 27.4 years [24-31] vs. 25.8 [23-30]), more likely to be multiparous (81.7% vs. 71.8%) and had lower CD4 counts (median [IQR] 323.5 cells/ml [235-442] vs. 467 [370-656]). There were no differences in gestational age at first antenatal visit or at delivery. The proportion of specimens with placental lesions was similar in both groups (39.2% vs. 44.7%). Half of all samples were below the tenth percentile expected-weight-for-gestation regardless of HIV status. This was unaffected by adjustment for confounding variables. Maternal vascular malperfusion (MVM) was more frequent in HIV infection (24.2% vs. 12.6%; P = 0.028), an association which strengthened after adjustment (aOR 2.90 [95% confidence interval 1.11-7.57]). Otherwise the frequency of individual diagnoses did not differ between the groups on multivariate analysis. CONCLUSIONS: In this cohort of term, uncomplicated pregnant women, few differences were observed between the HIV-infected and uninfected groups apart from MVM. This lesion may underlie the development of hypertensive disorders of pregnancy, which have been observed at higher rates in some HIV-infected women on ART.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".