Kira Nahum Sacks1, Michael Friger2, Ilana Shoham-Vardi2, Ruslan Sergienko2, Efrat Spiegel3, Daniella Landau4, Eyal Sheiner3. 1. Department of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, P.O.B. 653, Beer- Sheva, Israel. Electronic address: kira.sacks@gmail.com. 2. Department of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, P.O.B. 653, Beer- Sheva, Israel. 3. Department of Obstetrics and Gynecology, Faculty of Health Sciences, Soroka University Medical Center, Ben-Gurion University of the Negev, P.O.B. 151, Beer-Sheva, Israel. 4. Department of Pediatrics, Faculty of Health Sciences, Soroka University Medical Center, Ben-Gurion University of the Negev, P.O.B. 151, Beer-Sheva, Israel.
Abstract
INTRODUCTION: There are contradicting findings in the current literature regarding the association between in-utero exposure to preeclampsia and the long-term neuropsychiatric health of the offspring. The objective of this study is to assess whether prenatal exposure to preeclampsia increases the risk of long-term neuropsychiatric morbidity. METHODS: A retrospective population-based cohort study compared neuropsychiatric morbidity between singletons exposed and unexposed to preeclampsia. The study included all the singletons that were born between 1991 and 2014 in a single regional tertiary medical center. A generalized estimating equation (GEE) model was used to control for confounders and maternal clusters. RESULTS: Of the 253,808 singletons that met the inclusion criteria; 3.0% were born to mothers diagnosed with mild preeclampsia (n = 7660), 0.9% with severe preeclampsia (n = 2366) and 0.03% with eclampsia (n = 81). A significant linear association was noted between the severity of the preeclampsia (no preeclampsia, mild, severe preeclampsia and eclampsia) and the incidence of neuropsychiatric morbidity of the offspring (1.0%, vs. 1.2% vs. 1.9% vs. 1.2% respectively, p = 0.003). In a GEE model which was used to control for maternal clusters, gestational diabetes, maternal age, gestational age and time-to-event preeclampsia was found to be an independent risk factor for neuropsychiatric morbidity in the offspring (adjusted OR = 1.36; 95% CI 1.14-1.63). CONCLUSION: Offspring exposed prenatally to preeclampsia have a significantly higher risk of developing a neuropsychiatric morbidity during childhood.
INTRODUCTION: There are contradicting findings in the current literature regarding the association between in-utero exposure to preeclampsia and the long-term neuropsychiatric health of the offspring. The objective of this study is to assess whether prenatal exposure to preeclampsia increases the risk of long-term neuropsychiatric morbidity. METHODS: A retrospective population-based cohort study compared neuropsychiatric morbidity between singletons exposed and unexposed to preeclampsia. The study included all the singletons that were born between 1991 and 2014 in a single regional tertiary medical center. A generalized estimating equation (GEE) model was used to control for confounders and maternal clusters. RESULTS: Of the 253,808 singletons that met the inclusion criteria; 3.0% were born to mothers diagnosed with mild preeclampsia (n = 7660), 0.9% with severe preeclampsia (n = 2366) and 0.03% with eclampsia (n = 81). A significant linear association was noted between the severity of the preeclampsia (no preeclampsia, mild, severe preeclampsia and eclampsia) and the incidence of neuropsychiatric morbidity of the offspring (1.0%, vs. 1.2% vs. 1.9% vs. 1.2% respectively, p = 0.003). In a GEE model which was used to control for maternal clusters, gestational diabetes, maternal age, gestational age and time-to-event preeclampsia was found to be an independent risk factor for neuropsychiatric morbidity in the offspring (adjusted OR = 1.36; 95% CI 1.14-1.63). CONCLUSION: Offspring exposed prenatally to preeclampsia have a significantly higher risk of developing a neuropsychiatric morbidity during childhood.
Authors: Bhavisha A Bakrania; Frank T Spradley; Heather A Drummond; Babbette LaMarca; Michael J Ryan; Joey P Granger Journal: Compr Physiol Date: 2020-12-09 Impact factor: 9.090
Authors: Serena B Gumusoglu; Akanksha S S Chilukuri; Donna A Santillan; Mark K Santillan; Hanna E Stevens Journal: Trends Neurosci Date: 2020-03-06 Impact factor: 13.837
Authors: Liona C Poon; Laura A Magee; Stefan Verlohren; Andrew Shennan; Peter von Dadelszen; Eyal Sheiner; Eran Hadar; Gerard Visser; Fabricio Da Silva Costa; Anil Kapur; Fionnuala McAuliffe; Amala Nazareth; Muna Tahlak; Anne B Kihara; Hema Divakar; H David McIntyre; Vincenzo Berghella; Huixia Yang; Roberto Romero; Kypros H Nicolaides; Nir Melamed; Moshe Hod Journal: Int J Gynaecol Obstet Date: 2021-07 Impact factor: 4.447