Obstetrical, maternal and neonatal outcomes in pregnancies affected by muscular dystrophy
Bibliographic record
Abstract
Abstract Objective: Pregnancies in women affected by a muscular dystrophy are at an increased risk of adverse maternal and neonatal outcomes due to the effect of the disease on the muscular, cardiac and respiratory systems. We sought to evaluate the risk of adverse outcomes within a large population-based cohort study. Methods: We used the data extracted from the Nationwide Inpatient Sample (NIS) to conduct a retrospective population-based cohort study consisting of over 12 million births that occurred in the United States between 1999 and 2013. Births to mothers with muscular dystrophy were identified using the International Classification of Diseases, Ninth Revision (ICD-9) codes and were compared with births to mothers with no maternal muscular dystrophy. Unconditional logistic regression analysis was used to evaluate the adjusted effect of muscular dystrophy on maternal and neonatal outcomes. Results: During the 14-year study period, there was an increasing trend in the incidence of muscular dystrophy, with a cumulative incidence of 7.26 in 100,000 births. Women with muscular dystrophy and their neonates were at a significantly increased risk of adverse pregnancy outcomes: specifically, an increased risk of preeclampsia, preterm premature rupture of membranes, preterm labor, venous thromboembolism, cardiac dysrhythmia, requiring a blood transfusion and giving birth by cesarean section. Neonates born to affected mothers were at a significantly higher risk of being born preterm, with a congenital malformation and suffering intrauterine growth restriction. Conclusion: The risk of several adverse maternal and neonatal outcomes is increased in pregnant women with muscular dystrophy. As such, additional surveillance in order to mitigate the risk of adverse outcomes is warranted in these pregnancies.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".