Maternal Glycemia During Pregnancy and Child Carotid Intima Media Thickness, Pulse Wave Velocity, and Augmentation Index
Bibliographic record
Abstract
BACKGROUND In women without diabetes, little is known about the consequences of hyperglycemia during pregnancy for the offspring's cardiovascular structure and function. OBJECTIVE To investigate the association of maternal glycemia during pregnancy with cardiovascular risk markers in their children in GUSTO, a Singaporean birth cohort study. METHODS Around 26 weeks' gestation, a 75 g oral glucose tolerance test was performed and fasting plasma glucose (FPG) and 2-hour postprandial plasma glucose (PPPG) concentrations were measured. Gestational diabetes mellitus (GDM) was defined using WHO 1999 diagnostic criteria. At 6 years of age, we measured the child's carotid intima-media thickness (cIMT), carotid-femoral pulse wave velocity (cfPWV), aortic augmentation index (AIx), and blood pressure (BP). Association of maternal glycemia during pregnancy with cardiovascular risk markers in their children were analyzed using multiple linear and logistic regressions. RESULTS Analysis were performed on 479 mother-child dyads. Higher maternal FPG was associated with higher cIMT and, in males, with a higher cfPWV in the offspring (adjusted β [CI 95%], cIMT: 0.08 per 10mm increase [0.02; 0.15], cfPWV: 0.36 m/s [0.01; 0.70]). Higher 2-hour PPPG was associated with higher cfPWV and AIx. Gestational diabetes mellitus was associated with higher AIx. No association was found between maternal glycemia and their offspring blood pressure. CONCLUSIONS among mothers without pre-existing diabetes, higher glycemia during pregnancy was associated with mild structural and functional vascular changes in their children at 6 years of age across a continuum. These results support the necessity to monitor maternal glycemia during pregnancy even in the absence of pre-existing diabetes or diagnosed GDM.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| 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".