Pierre-Yves Robillard, Gustaaf Dekker, Marco Scioscia, Francesco Bonsante, Malik Boukerrou, Silvia Iacobelli, Phuong Lien Tran
Journal of reproductive immunology 2023 AugThe 2023 goal is to halve the incidence of preeclampsia worldwide to reach 3 million cases per year vs the current approximately 7 million cases. Preventive treatment by low dose aspirin only halves the incidence of early-onset preeclampsia (EOP < 34 weeks gestation) in high-risk women. However, 90% of PE cases are the late onset form (LOP, 34 weeks onward) proportionally associated with increasing maternal pre-pregnancy BMI. In 2018, we published a new method to calculate individualized optimal gestational weight gain based on normal Gaussian distribution of neonatal birthweights (SGA 10%, LGA 10%) and demonstrated that this optimal gestational weight gain (GWG) follows a linear equation suitable for all maternal PRE-pregnancy BMIs (from lean to obesities classes 1-2-3). A similar linear equation has been published recently based on a 2022 US database of 200,000 multiple pregnancies. Subsequently, we demonstrated in a prospective population study that in overweight and obese women who are able to achieve an optimal GWG, the rate of term preeclampsia (> 37 week's gestation) halves. Providing individual app-based calculations of optimal individual GWG, all patients will be aware of their personal weight gain target over the pregnancy. CONCLUSION: Halving the incidence of early-onset- and term preeclampsia worldwide by prevention is now theoretically achievable. Appropriate and timely start of low-dose Aspirin and providing women clear advice on their optimal GWG are they ingredients to achieve this goal. Copyright © 2023 Elsevier B.V. All rights reserved.
Pierre-Yves Robillard, Gustaaf Dekker, Marco Scioscia, Francesco Bonsante, Malik Boukerrou, Silvia Iacobelli, Phuong Lien Tran. Preeclampsia in 2023: Time for preventing early onset- and term preeclampsia: The paramount role of gestational weight gain. Journal of reproductive immunology. 2023 Aug;158:103968
PMID: 37290173
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