The role of ethnicity on pregnancy outcomes in women with epilepsy: The need for specific research

Birth outcomes in pregnant women with epilepsy: A Nationwide multicenter study from Türkiye

OBJECTIVE

The present study was aimed at investigating the effects of anti-seizure medications (ASMs), patient demographic characteristics, and the seizure type and frequency on the development of congenital malformations (CMs) in the infants of pregnant women with epilepsy (PWWE).

METHODS

PWWE followed up at the neurology outpatient clinic of 21 centers between 2014 and 2019 were included in this prospective study. The follow-up of PWWE was conducted using structured, general pregnant follow-up forms prepared by the Pregnancy and Epilepsy Study Committee. The newborns were examined by a neonatologist after delivery and at 1 and 3 months postpartum.

RESULTS

Of the infants of 759 PWWE, 7.2% had CMs, with 5.6% having major CMs. Polytherapy, monotherapy, and no medications were received by 168 (22.1%), 548 (72.2 %), and 43 (5.7 %) patients, respectively. CMs were detected at an incidence of 2.3% in infants of PWWE who did not receive medication, 5.7% in infants of PWWE who received monotherapy, and 13.7% in infants of PWWE who received polytherapy. The risk of malformation was 2.31-fold (95% confidence interval (CI): 1.48-4.61, p < .001) higher in infants of PWWE who received polytherapy. Levetiracetam was the most frequently used seizure medication as monotherapy, with the highest incidence of CMs occurring with valproic acid (VPA) use (8.5%) and the lowest with lamotrigine use (2.1%). The incidence of CMs was 5% at a carbamazepine dose <700 mg, 10% at a carbamazepine dose ≥700 mg, 5.5% at a VPA dose <750 mg, and 14.8% at a VPA dose ≥750 mg. Thus the risk of malformation increased 2.33 times (p = .041) in infants of PWWE receiving high-dose ASMs.

SIGNIFICANCE

Birth outcomes of PWWE receiving and not receiving ASMs were evaluated. The risk of CMs occurrence was higher, particularly in infants of PWWE using VPA and receiving polytherapy. The incidence of CMs was found to be lower in infants of PWWE receiving lamotrigine.

Assessing the relationship between adverse pregnancy outcomes and area-level deprivation in Wales 2014-2019: a national population-based cross-sectional study

OBJECTIVES

The aim of this study was to assess the relationship between deciles of area-level deprivation and seven adverse pregnancy outcomes in Wales.

DESIGN

Cross-sectional analysis.

SETTING

64 699 live births in Wales from 31 March 2014 to 16 September 2019.

PRIMARY OUTCOME VARIABLE

We examined each of the following seven adverse pregnancy outcomes: (1) small for gestational age (SGA); (2) large for gestational age; (3) preterm birth; (4) third-degree or fourth-degree perineal tear; (5) major postpartum haemorrhage (MPPH); (6) a lower Apgar score at 5 min and (7) emergency caesarean section.

RESULTS

There was no significant association between increasing aggregate measures of area-level deprivation and the adverse pregnancy outcomes we studied. Women living in an area with greater access to services are more likely to have a baby that is SGA (1.27, 95% CI 1.11 to 1.49), have a greater likelihood of a perineal tear (1.74, 95% CI 1.15 to 2.61), are significantly less likely to have MPPH (0.79, 95% CI 0.64 to 0.96), have a baby with an Apgar score of 0.26 higher (95% CI 0.22 to 0.29) and are significantly less likely to have an emergency caesarean section (0.81, 95% CI 0.73 to 0.88). Women living in areas with higher employment (0.26, 95% CI 0.19 to 0.36) and better health (0.26, 95% CI 0.19 to 0.35) were less likely to experience perineal tear.

CONCLUSIONS

There was no clear social-spatial gradient in area-level deprivation and adverse pregnancy outcomes. We found a stronger association for individual-level behavioural risk factors than area-level factors. These findings support the benefits that accessible and holistic person-centred care may bring through addressing individual behavioural risk factors. There is a need for improved data completeness and further individual-level data on risk factors such as employment and income to better understand the role which may be played by population-level policies and their pathways to affecting outcomes.