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A multistate prediction model for hypertension and cardiovascular disease after pregnancy using routine care data in
Anouk Klootwijk1,2, Alina Nicolaie1, Jeroen N Struijs2,3
1Center for Public Health, Healthcare and Society, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Aims:
Adverse pregnancy outcomes (APOs) are associated with increased cardiovascular risk, but risk stratification has largely focused on midlife populations. We developed a multistate prediction model to enable early postpartum risk stratification for hypertension and cardiovascular disease (CVD).
Methods:
In this nationwide, registry-based retrospective study, we predicted hypertension (intermediate outcome) and CVD (primary outcome: hospitalization or death from myocardial infarction or stroke), while accounting for non-CVD mortality (competing risk). Candidate predictors included hypertensive disorders of pregnancy (HDP: pregnancy-induced hypertension [PIH] and (pre)eclampsia), preterm birth, small-for-gestational-age, recurrent miscarriages, diabetes, country of origin, and socioeconomic status (SES; income and education). Follow-up started 6 weeks after childbirth, with a maximum of 17 years. A stratified, time-dependent Cox model was used.
Results:
Among 737,257 primiparous women, 1.7% developed hypertension and 0.3% developed CVD. HDP showed the strongest associations with both hypertension and CVD, attenuating with age. In Dutch women with PIH, hypertension risk was higher with low vs. high SES (15% vs. 5%). Surinamese women had higher hypertension risks than Dutch women. PIH combined with preterm birth and low SES resulted in the highest risks. Predictive performance was modest to good (AUCs 0.65-0.89), with alignment between predicted and observed risks.
Conclusions:
This study showed future cardiovascular risk can be stratified at 6 weeks postpartum. Women with HDP, low SES, Surinamese origin, and multiple risk factors were identified as the highest-risk groups. These findings support early identification of women at cardiovascular risk, although validation is required before clinical implementation.
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