Hypertensive disorders of pregnancy risk prediction - Evidencio
Hypertensive disorders of pregnancy risk prediction

A predictive model aimed at reducing the risk of hypertensive disorders of pregnancy (HDP) through tailored interpregnancy weight management strategies.

Auteurs: Tano, S., Kotani, T., Ushida, T. et al.
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% risk on developing HDP in a second pregnancy

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The model should be interpreted as follows, if for example the model predicts a 25% risk, this means that out of 100 women with similar profiles, approximately 25 are expected to develop HDP in their next pregnancy.

The model allows women to visualize how different interpregnancy weight changes can increase or decrease their HDP risk. For example, reducing BMI by a certain amount might lower the risk from 25% to 15%, guiding realistic and achievable weight management goals.

Clinical Implications

  • High Risk: Suggests the need for proactive intervention, such as weight management, lifestyle changes, and closer medical monitoring before and during pregnancy.

  • Low Risk: Indicates a lower likelihood of HDP but still requires general healthy pregnancy practices.

No cut-off values for high-risk and low-risk were determined.

The percentage is not an absolute prediction but a probabilistic estimate to support decision-making. It should be used in combination with medical advice to create personalized health plans.

HDP, affecting 8–10% of pregnancies, is a leading cause of maternal mortality. Current preventive strategies mainly focus on post-conception interventions, leaving a gap in effective pre-conception care, especially regarding weight management. Standard weight management guidelines, such as achieving a BMI of 18.5–25.0 kg/m², are often unattainable for severely obese women. This highlights the need for a more personalized and achievable approach to weight management between pregnancies.

The model is designed to help women planning future pregnancies understand their personalized risk of developing HDP and visualize how interpregnancy weight management can modify this risk. It empowers healthcare providers and patients to collaboratively set realistic, personalized weight management goals that may reduce HDP risk.

The model is specifically developed and validated for women transitioning from their first to second pregnancy. For women planning a third pregnancy, the model should be adapted and validated in a new study.

Input: Age at delivery of previous pregnancy, BMI before previous pregnancy, history of HDP (HDP at the index pregnancy), Pi (Pregnancy interval), ABc (Annual BMI change) 

Output: Predicted probability of developing HDP in a subsequent pregnancy and a visual representation of how changes in BMI can modify HDP risk.

Intended use: Weight management between first and second pregnancy.

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Dit algoritme wordt verstrekt voor educatieve, opleidings- en informatieve doeleinden. Het mag niet worden gebruikt ter ondersteuning van medische besluitvorming, of om medische of diagnostische diensten te verlenen. Lees onze volledige disclaimer.

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