Idiopathic intracranial hypertension and obstetric and neonatal outcomes: A 1:20 matched study from a population database
Bibliographic record
Abstract
OBJECTIVE: Idiopathic intracranial hypertension (IIH), also known as pseudotumor cerebri, is a common pathology in reproductive-aged women, although data regarding pregnancy outcomes are scarce. In the present study, we aimed to compare pregnancy and perinatal outcomes between women who suffered from IIH to those who did not. METHODS: A retrospective cohort study using the Healthcare Cost and Utilization Project, Nationwide Inpatient Sample. All pregnant women who delivered or had a maternal death in the US (2004-2014) were included. Women with an ICD-9 diagnosis of IIH before or during pregnancy were matched to controls without IIH according to age, race, insurance type, and income quartile, in a 1:20 ratio. Pregnancy, delivery, and neonatal outcomes were compared between the two groups. RESULTS: ) and suffer from pregestational diabetes mellitus and chronic hypertension (P < 0.001, all). After adjusting for confounders, patients in the IIH group, compared to those without, had a higher rate of pregnancy-induced hypertension (aOR 1.82, 95% CI: 1.57-2.1, P < 0.001), pre-eclampsia (aOR 1.98, 95% CI: 1.61-2.45, P < 0.001), preterm delivery (aOR 1.88, 95% CI: 1.59-2.23, P < 0.001), CD (aOR 2.41, 95% CI: 2.12-2.73, P < 0.001), wound complications (aOR 3.2, 95% CI: 1.89-5.42, P < 0.001), and congenital anomalies (aOR 2.18, 95% CI: 1.4-3.4, P < 0.001). CONCLUSION: Women with IIH had a higher incidence of obstetrical complications, including preterm deliveries, hypertensive disorders of pregnancy, and congenital anomalies.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".