Double Burden: The Impact of Gestational Hypertension and Gestational Diabetes on Long-Term Cardiovascular Disease Risk
Bibliographic record
Abstract
Background: Gestational hypertension (GH) and gestational diabetes mellitus (GDM) affect 5–10% of pregnancies worldwide and are critical predictors of long-term cardiovascular disease (CVD) in women. Women with GH or GDM face significantly elevated risks of chronic hypertension, type 2 diabetes, and other metabolic disorders within five to ten years postpartum. Given that CVD is the leading cause of mortality among women globally, integrating GH and GDM into routine postpartum screening is essential for early intervention and reducing long-term health burdens. Objectives: This systematic review synthesizes current evidence on the impact of GH and GDM on long- term CVD risk to inform future research and enhance clinical practices. Methods: Following PRISMA 2020 guidelines, we reviewed six cohort studies encompassing 1,223,449 women. Studies were identified through comprehensive searches in PubMed, Web of Science, Cochrane, Wiley, and Scopus databases to ensure robust data on CVD outcomes. The Newcastle-Ottawa Scale was employed to assess the risk of bias in the included studies. Results: Women diagnosed with GH and/or GDM exhibited significantly higher risks of developing postpartum CVD, with hazard ratios ranging from 1.25 to 23.33. The highest risk, a 23-fold increase in myocardial infarction, was observed in women experiencing both GH and GDM. Key mechanisms contributing to this heightened risk include persistent insulin resistance, vascular dysfunction, and systemic inflammation. Conclusion: GH and GDM during pregnancy substantially increase the risk of postpartum CVD, underscoring the need for enhanced postpartum surveillance and targeted intervention strategies. Early identification and proactive management of high-risk women are crucial to mitigate long-term cardiovascular morbidity and mortality, highlighting the importance of integrating gestational complications into standard postpartum care protocols. Keywords: Gestational Hypertension, Gestational Diabetes Mellitus, Cardiovascular Disease, Postpartum Risk
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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 | 0.027 | 0.097 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.008 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".