Maternal and Fetal Outcomes in Pregnancy in the Fifth Decade of Life and Beyond
Bibliographic record
Abstract
OBJECTIVES: The objective is to evaluate maternal and fetal outcomes at an extremely advanced maternal age (AMA) (over age 50 years) in Calgary. The secondary objective is to determine if there is a role in protocolizing complex care plans for patients at extreme AMAs. METHODS: A retrospective chart review was conducted of all pregnancies ≥20 weeks gestation in patients over the age of 50 years that delivered in Calgary between January 2007 and December 2021. Pregnancy data were collected, including maternal age, pre-existing medical conditions, mode and timing of delivery, neonatal outcomes, neonatal intensive care unit (NICU) and adult intensive care unit (ICU) admissions, postpartum complications, and maternal or neonatal death. Data were extracted for maternity patients as well as neonatal ICU databases. Maternal and neonatal outcomes were assessed until discharge from hospital. RESULTS: All 23 pregnancies identified were achieved through assisted reproductive technologies. Comorbidities varied, but the most common comorbidities included hypertension and gestational diabetes. Cesarean delivery was the most common form of delivery. Three cases involved postpartum maternal ICU admission. Neonatal outcomes included gestational ages of 22-39 weeks and birth weights of 486-3593 g, with 8 confirmed NICU admissions. The most common neonatal complications were jaundice and small for gestational age. CONCLUSIONS: Extremely AMA patients are more likely to have pre-existing comorbidities and develop comorbidities during pregnancy. The potential for adverse maternal and fetal outcomes is greater for these pregnancies; however, the complications are diverse and developing a universal complex care plan is difficult.
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 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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".