Objective: Kerala Registry of Epilepsy and Pregnancy had been prospectively evaluating the reproductive issues of women with epilepsy since April 1998. This analysis aimed to estimate the relative risk of major congenital malformations (MCM) to the registrants.
Methods: All pregnancies with known outcome in this register until December 2013 were included. Malformation status was evaluated by antenatal ultrasonography, physical examination at birth, echocardiography, and abdomen ultrasonography at 3 months of age and a final review at 1 year of age.
Results: There were 1,688 fetuses (singlets 1,643, twins 21, and triplet 1) resulting in 1,622 live births. All were born to women of Asian origin living in South India. The MCM rate for all live births was 6.84% (95% confidence interval [CI] 5.71-8.18) and for all pregnancy outcomes including fetal loss was 7.11% (95% CI 5.98-8.44). The MCM rates (mean with 95% CI) for exposed group were 6.4% (5.03-8.03) for monotherapy and 9.9% (7.37-13.13) for polytherapy; internal control group (women with epilepsy [WWE] not on antiepileptic drugs [AEDs] in first trimester) 5.6% (3.34-9.11), external control group (women without epilepsy or AED exposure in first trimester) 3.45% (1.94-6.07). Valproate monotherapy group had a dose-dependent relative risk for MCM of 2.6 (95% CI 1.30-5.20) compared to the external control group. The preliminary data on MCM rate for the nine total clobazam monotherapy (22.2%; 95% CI 6.2-54.7) signals increased risk that needs further validation on larger sample size. There was no association between MCM rate and maternal socioeconomic status, epilepsy syndrome, or use of folic acid in first trimester.
Significance: This dataset from South India confirms the increased risk of MCM with exposure to AEDs, particularly polytherapy. A dose-dependent increased risk was observed with valproate. The increased risk associated with clobazam monotherapy is an important signal that needs to be confirmed in a larger sample.
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http://dx.doi.org/10.1111/epi.13632 | DOI Listing |
Eur J Case Rep Intern Med
December 2024
Department of Geriatrics and Internal Medicine, Champmaillot Hospital, University Hospital, Dijon, France.
Introduction: According to the World Health Organization, 44 million people worldwide suffer from Alzheimer's disease. Abnormal movements are atypical symptoms of Alzheimer's disease.
Case Description: An 87-year-old woman, followed for Alzheimer's disease, experienced abnormal movements.
J Clin Neurophysiol
January 2025
The Edward B. Bromfield Epilepsy Program, Department of Neurology, Brigham and Women's Hospital, Boston, MA.
Pediatr Infect Dis J
December 2024
From the Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Introduction: Central nervous system (CNS) infections represent some of the most critical pediatric health challenges, characterized by high mortality rates and a notable risk of long-term complications. Despite their significance, standardized guidelines for endocrinological follow-up of CNS infection survivors are lacking, leading to reliance on the expertise of individual centers and clinicians.
Materials And Methods: Prospective monocentric observational study conducted at the Fondazione Policlinico Universitario Agostino Gemelli in Rome, Italy.
Anesthesiology
January 2025
Department of Anesthesiology, Brigham and Women's Hospital and Harvard Medical School, Boston MA, USA.
Introduction: Accurate prognostication in comatose survivors of cardiac arrest is a challenging and high-stakes endeavor. We sought to determine whether internal EEG subparameters extracted by the Bispectral Index (BIS) monitor, a device commonly used to estimate depth-of-anesthesia intraoperatively, could be repurposed to predict recovery of consciousness after cardiac arrest.
Methods: In this retrospective cohort study, we trained a 3-layer neural network to predict recovery of consciousness to the point of command following versus not based on 48 hours of continuous EEG recordings in 315 comatose patients admitted to a single US academic medical center after cardiac arrest (Derivation cohort: N=181; Validation cohort: N=134).
Hum Genet
January 2025
Department of Biomedical Sciences, University of Padova, Padova, Italy.
The Genetics of Neurodevelopmental Disorders Lab in Padua provided a new intellectual disability (ID) Panel challenge for computational methods to predict patient phenotypes and their causal variants in the context of the Critical Assessment of the Genome Interpretation, 6th edition (CAGI6). Eight research teams submitted a total of 30 models to predict phenotypes based on the sequences of 74 genes (VCF format) in 415 pediatric patients affected by Neurodevelopmental Disorders (NDDs). NDDs are clinically and genetically heterogeneous conditions, with onset in infant age.
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