ArticlePaediatric and perinatal epidemiology2026
Weighted Cumulative Exposure Modelling to Assess the Association Between Reproductive Factors and Future Cardiovascular Disease in Women.
Article in Paediatric and perinatal epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Study protocol for the use of propofol in adult intensive care unit patients: a secondary analysis of an extensive international database.Critical care science · 2026Article
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5 authors.
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Abstract
backgroundThe occurrence of reproductive or pregnancy events, such as severe maternal morbidity (SMM), may reveal a predisposition to chronic disease and premature mortality. However, most studies have examined these exposures without considering their timing, severity, or recurrence.
objectivesWe propose using a weighted cumulative exposure (WCE) modelling approach to flexibly describe the relationship between reproductive events and longer-term health outcomes in a longitudinal cohort of pregnant women.
methodsApplication of the WCE modelling approach is accomplished in three steps. First, relative weights are estimated from a multivariable Cox proportional hazards model corresponding to the association of each reproductive risk factor with a given health outcome. Then, a longitudinal dataset is constructed in which all reproductive predictors are recorded at regular intervals (every 3 months), beginning 42 days after each woman's first birth in the cohort and ending at an outcome or censoring event. A new multivariable Cox model applied to this longitudinal dataset, incorporating time-varying WCE-derived reproductive risk scores along with simple time-varying reproductive and non-reproductive predictors, is estimated. Finally, adjusted WCE-based hazard ratios (HR) associated with different reproductive event exposure histories are calculated.
resultsIn the cohort of 1,992,972 births in Canada (excluding Quebec), 2008-2021, with mean (SD) follow-up time in the longitudinal dataset of 7.3 ± 3.8 years, we propose to use the WCE approach to predict outcomes such as premature cardiovascular disease (16,846 cardiovascular hospitalisations observed, or 1.19 per 1000 person-years).
conclusionsUse of flexible WCE modelling to quantify risks of pregnancy events such as SMM, adjusted for reproductive and non-reproductive CVD risk factors, will account for variation in timing and severity of these events and will capture their cumulative effects across a woman's reproductive trajectory. This approach can refine estimates of etiologic associations and inform novel clinical prediction models with the potential to predict postpartum long-term health outcomes for a given woman based on her unique reproductive history.
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