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Record W4391729516 · doi:10.1016/j.heliyon.2024.e25631

Pregnancy, delivery and neonatal outcomes in women with a cerebrovascular-accident history prior to delivery - Evaluation of a population database

2024· article· en· W4391729516 on OpenAlexaff
Uri Amikam, Ahmad Badeghiesh, Haitham Baghlaf, Richard Brown, Michael H. Dahan

Bibliographic record

VenueHeliyon · 2024
Typearticle
Languageen
FieldMedicine
TopicNeurological Complications and Syndromes
Canadian institutionsWestern UniversityMcGill University
Fundersnot available
KeywordsPregnancyMedicinePopulationObstetricsHigh risk pregnancyDatabaseComputer science

Abstract

fetched live from OpenAlex

Objective: Cerebrovascular accidents (CVA) in childbearing-age women are rare. We aimed to evaluate the association between CVA events prior to delivery and obstetrical and neonatal outcomes. Methods: A retrospective cohort study was conducted using data from the Healthcare Cost and Utilization Project, Nationwide Inpatient Sample (HCUP-NIS) database. All pregnant women who delivered or had a maternal death in the US from 2004 to 2014 were included in the study. We performed a comparison between women with an ICD-9 diagnosis of CVA before the delivery admission and those without. Obstetrical and neonatal outcomes were compared between the two groups. Results: In total, 9,096,788 women fulfilled the inclusion criteria. Among them, 695 women (7.6 per 100,000) were diagnosed with a CVA before delivery. Women with a history of CVA, compared to those without, were more likely to be Black, older than 35 years of age, and suffer from obesity, chronic hypertension, pregestational diabetes, and thyroid disease. Patients with a prior CVA, compared to those without, had higher rates of pregnancy-induced hypertension (aOR 6.41, 95% CI 5.03-8.39, p < 0.001), preeclampsia (aOR 7.65, 95% CI 6.03-9.71, p < 0.001), and eclampsia (aOR 171.56, 95% CI 124.63-236.15, p < 0.001). Additionally, they had higher rates of preterm delivery (aOR 1.72, 95% CI 1.33-2.22,p = 0.003), cesarean section (aOR 2.69, 95% CI 2.15-3.37, p < 0.001), and maternal complications such as a peripartum hysterectomy (aOR 11.62, 95% CI 5.77-23.41, p < 0.001), postpartum hemorrhage (aOR 3.39, 95 % CI 2.52-4.54, p < 0.001), disseminated intravascular coagulation (aOR 16.32, 95% CI 11.33-23.52, p < 0.001), venous thromboembolism (aOR 45.08, 95% CI 27.17-74.8, p < 0.001), and maternal death (aOR 486.11, 95% CI 307.26-769.07, p < 0.001). Regarding neonatal outcomes, patients with a prior CVA, compared to those without, had a higher rate of intrauterine fetal demise and congenital anomalies. Conclusion: Women with a CVA event before delivery have a significantly higher incidence of maternal complications, including hypertensive disorders of pregnancy, and neonatal complications, such as intrauterine fetal demise and congenital anomalies. Rates of maternal death were dramatically increased, and this association requires further evaluation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.040
GPT teacher head0.291
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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