MON-201 Female Subfertility and Long-Term Cardiovascular Risk
Bibliographic record
Abstract
Abstract Disclosure: E. Armeni: None. C. Polymeropoulou: None. N. Mili: None. E. Siliogka: None. A. Augoulea: None. I. Lambrinoudaki: None. Objective: Infertility and cardiovascular disease (CVD) are widespread health concerns that share common risk factors, such as oxidative stress, endothelial dysfunction, and chronic inflammation. Although research has suggested a potential link between female infertility and an increased risk of CVD, findings remain inconclusive. This systematic review (SR) and meta-analysis (MA) aim to investigate whether women with infertility have a greater likelihood of developing cardiovascular conditions later in life. Methods: This SR and MA of 21 studies followed PRISMA guidelines and was registered in PROSPERO (CRD42023420300). The Newcastle-Ottawa Scale assessed study quality. Statistical analyses included odds ratios (OR) and hazard ratios (HR) using Mantel-Haenszel and inverse variance methods. Heterogeneity was evaluated via I². We performed sensitivity analyses to assess the impact of the participant's age at recruitment, the duration of follow-up (FU, cut-off 10 years for short vs extended), and exposure to assisted reproduction techniques (ART) on the observed associations. Results: We compared 178,828 women with a history of infertility with 3,398,781 controls and found a higher prevalent and incident risk of future CVD (HR = 1.14, 95% CI: 1.12–1.16; I² = 89%), CHD (HR = 1.17, 95% CI: 1.12–1.23; I² = 0%) and cerebrovascular events (HR=1.16; 95% CI: 1.11–1.21; I² = 73%). Compared to controls, studies evaluating infertile women aged < 40 years showed a higher risk of CVD (HR=1.20; 95% CI: 1.17-1.23; I2=81%; I² = 81%), whereas those studies evaluating infertile women aged 40 years or more showed a comparable risk for CVD (HR=1.04; 95% CI: 1.00-1.07; I² = 29%). Studies with shorter observation periods (FU < 10 years) reported higher incident risk for all cardiovascular events compared to the pooled risk retrieved from studies with extended FU (> 10 years). We found that women exposed to ART vs controls (392,266 and 33,630,919, respectively) had a higher incident risk for CVD (HR = 1.18; 95% CI: 1.11–1.25; I² = 97%), although ART exposure did not significantly increase the risk of CHD, cerebrovascular events, or heart failure.Discussion: This study reveals an elevated risk of CVD, encompassing CHD and cerebrovascular events, among women with a history of infertility. The risk is higher for women experiencing infertility early on during their reproductive life. ART exposure was linked to a higher risk of CVD; however, the true impact of ART remains unclear due to substantial variability across studies, likely influenced by differing methodologies and ART protocols. Presentation: Monday, July 14, 2025
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.000 | 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".