Postpartum Microalbuminuria After Gestational Diabetes: The Impact of Current Glucose Tolerance Status
Bibliographic record
Abstract
CONTEXT: It has been reported that women with a history of gestational diabetes mellitus (GDM) have an increased risk of microalbuminuria compared with that of their peers. Because previous GDM predicts an increased risk of prediabetes, which itself is associated with microalbuminuria, we hypothesized that current glucose intolerance may confound any association between GDM and microalbuminuria. OBJECTIVE: The purpose of this study was to evaluate the relative impact of gestational and current dysglycemia on postpartum microalbuminuria in a cohort of women reflecting the full spectrum of gestational glucose tolerance from normal to mildly abnormal to GDM. DESIGN/SETTING/PARTICIPANTS: In this prospective observational cohort study, 320 women underwent a glucose challenge test (GCT) and an oral glucose tolerance test (OGTT) in pregnancy, which identified 100 women with GDM, 58 with gestational impaired glucose tolerance, 90 with an abnormal GCT but a normal OGTT, and 72 with a normal GCT and OGTT. At 3 years postpartum, they underwent measurement of urine microalbumin and a repeat OGTT that identified 63 women with glucose intolerance (prediabetes/diabetes). RESULTS: The postpartum urine microalbumin to creatinine ratio did not differ among the 4 gestational glucose tolerance groups (P = .23). Furthermore, on logistic regression analysis, GDM did not independently predict an elevated urine microalbumin to creatinine ratio of ≥1.5 g/mol of creatinine (odds ratio, 0.43; 95% confidence interval, 0.17-1.11), after adjustment for age, ethnicity, family history of diabetes, body mass index, blood pressure, estimated glomerular filtration rate, and current glucose intolerance. In contrast, current glucose intolerance independently predicted a urine microalbumin to creatinine ratio of ≥1.5 (odds ratio, 3.4; 95% confidence interval, 1.4-8.2, P = .005). CONCLUSION: Current glucose intolerance, rather than previous GDM, may be associated with an increased risk of microalbuminuria in the early postpartum years.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".