Association between maternal glucose and large for gestational outcomes: Real‐world evidence to support Hyperglycaemia and Adverse Pregnancy Outcomes (HAPO) study findings
Bibliographic record
Abstract
AIMS: To compare large for gestational age (LGA) rates by maternal glucose levels in a real-world setting with those in the Hyperglycaemia and Adverse Pregnancy Outcomes (HAPO) study. To examine the association between fasting plasma glucose (FPG), 1- and 2-h on a 75-g oral glucose tolerance tests (OGTT) and LGA. METHODS: Pregnancies were categorized according to HAPO thresholds. Category-specific LGA rates were compared to those in HAPO. Categories with glucose thresholds below or above the diagnostic criteria for gestational diabetes mellitus (GDM) were labelled as lower and higher/GDM, respectively. GDM pregnancies were further stratified according to FPG or post-load elevations and logistic regression was used to examine their independent association with LGA. FINDINGS: In our cohort of 97,032 pregnancies, rates of LGA increased with increasing maternal glucose in lower categories of FPG, 1- and 2-h glucose (trend p < 0.01). However, LGA rates in higher/GDM categories were significantly lower in our study than those in HAPO for 1- and 2-h glucose, but not for FPG. Elevated FPG alone was associated with an almost twofold increase in risk of LGA, while elevated post-load glucose alone was associated with a 20% reduction in risk of LGA, compared to negative OGTT. CONCLUSIONS: Real-world data confirm the HAPO study findings at lower levels of maternal glycaemia. At higher levels, GDM diagnosis and treatment appear to be effective in reducing rates of LGA in pregnancies with post-load glucose elevations, but not elevated FPG. Elevated FPG is a stronger predictor of LGA than post-load glucose elevations.
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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 | 0.002 | 0.002 |
| 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 | 0.000 |
| 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 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".