Maternal and fetal outcomes in pregnancies with obstructive sleep apnea
Bibliographic record
Abstract
OBJECTIVES: Obstructive sleep apnea (OSA) is linked to many health comorbidities. We aimed to ascertain if OSA correlates with a rise in poor obstetrical outcomes. METHODS: Employing the United States' Healthcare Cost and Utilization Project - National Inpatient Sample, we performed our retrospective cohort study including all women who delivered between 2006 and 2015. ICD-9 codes were used to characterize women as having a diagnosis of OSA. Temporal trends in pregnancies with OSA were studied, baseline features were evaluated among gravidities in the presence and absence of OSA, and multivariate logistic regression analysis was utilized in assessing consequences of OSA on patient and newborn outcomes. RESULTS: Of a total 7,907,139 deliveries, 3,115 belonged to patients suffering from OSA, resulting in a prevalence of 39 per 100,000 deliveries. Rates rose from 10.14 to 78.12 per 100,000 deliveries during the study interval (p<0.0001). Patients diagnosed with OSA were at higher risk of having pregnancies with preeclampsia, OR 2.2 (95% CI 2.0-2.4), eclampsia, 4.1 (2.4-7.0), chorioamnionitis, 1.4 (1.2-1.8), postpartum hemorrhage, 1.4 (1.2-1.7), venous thromboembolisms, 2.7 (2.1-3.4), and to deliver by caesarean section, 2.1 (1.9-2.3). Cardiovascular and respiratory complications were also more common among these women, as was maternal death, 4.2 (2.2-8.0). Newborns of OSA patients were at elevated risk of being premature, 1.3 (1.2-1.5) and having congenital abnormalities, 2.3 (1.7-3.0). CONCLUSIONS: Pregnancies with OSA were linked to an elevated risk of poor maternal and neonatal outcomes. During pregnancy, OSA patients should receive attentive follow-up care in a tertiary hospital.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".