Risk of future cardiovascular diseases in different years postpartum after hypertensive disorders of pregnancy: A systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: There are limited data on the optimal timing and frequency of postpartum follow-up visits after hypertensive disorders of pregnancy (HDP) for primary prevention and early detection of cardiovascular diseases (CVDs) in high-risk women. We aimed to evaluate the risk of cardiovascular outcomes later in life in women with prior HDP in different years postpartum and in preeclamptic women with severe features, or early onset of preeclampsia. METHODS: We searched MEDLINE, Cochrane Library, Web of Science, and Scopus without language restriction for relevant articles published from inception to March 16, 2022. We included prospective and retrospective cohort studies assessing hypertension, ischemic heart disease, heart failure, venous thromboembolism, peripheral vascular disease, stroke, dementia, composite cardiovascular and/or cerebrovascular diseases, and mortality after 6 weeks postpartum, in women with prior HDP compared with controls. Two authors independently selected and appraised the studies. Article quality was independently assessed using the Newcastle-Ottawa Scale (NOS). Random-effect models were used for meta-analysis. Stratified analyses based on years postpartum, severity, and onset of preeclampsia were performed. RESULTS: We included 59 studies for qualitative review, of which 56 were included in quantitative meta-analysis, involving 1,262,726 women with prior HDP and 14,711,054 controls. Women with prior HDP had increased risks of hypertension (relative risk [RR] 3.46, 95% confidence interval [CI]: 2.67-4.49), ischemic heart disease (RR 2.06, 95% CI: 1.38-3.08), and heart failure (RR 2.53, 95% CI: 1.28-5.00) later in life, compared with those with normotensive pregnancies. The risk of hypertension was highest during 5 years postpartum (RR 5.34, 95% CI: 2.74-10.39). Compared with normotensive pregnancies, the risk of future CVDs significantly increased in preeclamptic women. DISCUSSION: A history of HDP is associated with approximately 2- to 4-fold increase in the risk of CVDs. Screening for CVDs and their risk factors in women with prior HDP since delivery, especially the first 5 years after delivery is suggested for early detection and appropriate management. Evidence on the risks of CVDs in preeclampsia with severe features and early onset of preeclampsia is limited due to having few studies and high heterogeneity. FUNDING: The Royal Golden Jubilee PhD Program-RGJ (PHD/0183/2561); Thailand Science Research and Innovation (TSRI) Research Career Development Grant-RSA (RSA6180009); Targeted Research Grants Program of the Faculty of Medicine, Prince of Songkla University, Thailand. REGISTRATION: CRD42020191550.
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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 | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.019 | 0.041 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".