Adverse pregnancy, delivery and neonatal outcomes across different advanced maternal ages: A population-based retrospective cohort study
Bibliographic record
Abstract
Objective: Characterize the risk for adverse pregnancy, delivery and neonatal outcomes among different advanced maternal ages (AMA). Study design: We conducted a population-based retrospective cohort study using data from the Healthcare Cost and Utilization Project-Nationwide Inpatient Sample to characterize adverse pregnancy, delivery and neonatal outcomes among different AMA groups. Patients aged 44-45 (n = 19,476), 46-49 (n = 7528) and 50-54 years (n = 1100) were compared to patients aged 38-43 years (n = 499,655). A multivariate logistic regression analysis adjusted for statistically significant confounding variables. Results: With advancing age, rates of chronic hypertension, pregestational diabetes, thyroid disease and multiple gestation increased (p < 0.001). The adjusted risk of hysterectomy and need for blood transfusion substantially increased with advancing age, reaching up to an almost 5-fold (aOR, 4.75, 95 % CI, 2.76-8.19, p < 0.001) and 3-fold (aOR, 3.06, 95 % CI, 2.31-4.05, p < 0.001) increased risk, respectively, in patients aged 50-54 years. The adjusted risk of maternal death increased 4-fold in patients aged 46-49 years (aOR, 4.03, 95 % CI, 1.23-13.17, p = 0.021). Adjusted risks of pregnancy-related hypertensive disorders, including gestational hypertension and preeclampsia, increased by 28-93 % across advancing age groups (p < 0.001). Adjusted neonatal outcomes demonstrated up to a 40 % elevated risk of intrauterine fetal demise in patients aged 46-49 years (aOR, 1.40, 95 % CI, 1.02-1.92, p = 0.04) and a 17 % increased risk of having a small for gestational age neonate in patients aged 44-45 years (aOR, 1.17, 95 % CI, 1.05-1.31, p = 0.004). Conclusions: Pregnancies at AMA are at increased risk for adverse outcomes, particularly for pregnancy-related hypertensive disorders, hysterectomy, blood transfusion, and maternal and fetal mortality. Although comorbidities associated with AMA influence the risk of complications, AMA was demonstrated to be an independent risk factor for major complications, with its impact varying across ages. This data imparts clinicians with the ability to provide more specific counseling to patients of varied AMA. Older patients seeking to conceive must be counseled regarding these risks in order to make well-informed decisions.
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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 | 0.002 | 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) | 0.001 | 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".