Understanding neurodevelopmental trajectories and behavioral profiles in SCN1A-related epilepsy syndromes

Background: A pathogenic variant in SCN1A can result in a spectrum of phenotypes, including Dravet syndrome (DS) and genetic epilepsy with febrile seizures plus (GEFS + ) syndrome. Dravet syndrome (DS) is associated with refractory seizures, developmental delay, intellectual disability (ID), motor impairment, and challenging behavior(1,2). GEFS + is a less severe phenotype in which cognition is often normal and seizures are less severe. Challenging behavior largely affects quality of life of patients and their families. This study describes the profile and course of the behavioral phenotype in patients with SCN1A-related epilepsy syndromes, explores correlations between behavioral difficulties and potential risk factors. Methods: Data were collected from questionnaires, medical records, and semi-structured interviews. Behavior difficulties were measured using the Adult/Child Behavior Checklist (C/ABCL) and Adult self-report (ASR). Other questionnaires included the Pediatric Quality of Life Inventory (PedsQL), the Functional Mobility Scale (FMS) and the Sleep Behavior Questionnaire by Simonds & Parraga (SQ-SP). To determine differences in behavioral difficulties longitudinally, paired T-tests were used. Pearson correlation and Spearman rank test were used in correlation analyses and multivariable regression analyses were employed to identify potential risk factors. Results: A cohort of 147 participants, including 107 participants with DS and 40 with genetic epilepsy with febrile seizures plus (GEFS + ), was evaluated. Forty-six DS participants (43.0 %) and three GEFS + participants (7.5 %) showed behavioral problems in the clinical range on the A/CBCL total problems scale. The behavioral profile in DS exists out of withdrawn behavior, aggressive behavior, and attention problems. In DS patients, sleep disturbances (β = 1.15, p < 0.001) and a lower age (β = -0.21, p = 0.001) were significantly associated with behavioral difficulties. Between 2015 and 2022, behavioral difficulties significantly decreased with age (t = -2.24, CI = -6.10 – −0.15, p = 0.04) in DS participants aging from adolescence into adulthood. A decrease in intellectual functioning (β = 3.37, p = 0.02) and using less antiseizure medications in 2022 than in 2015, (β = -1.96, p = 0.04), were identified as possible risk factors for developing (more) behavioral difficulties. Conclusions: These findings suggest that, in addition to epilepsy, behavioral difficulties are a core feature of the DS phenotype. Behavioral problems require personalized management and treatment strategies. Further research is needed to identify effective interventions

Quality of life in SCN1A-related seizure disorders across the lifespan.

This cohort study aims to describe the evolution of disease features and health-related quality of life per life stage in Dravet syndrome and other SCN1A-related non-Dravet seizure disorders which will enable treating physicians to provide tailored care. Health-related quality of life and disease features were assessed cross-sectionally in participants with a SCN1A-related seizure disorder, categorized per age group for Dravet syndrome, and longitudinally over seven years follow-up (2015-2022). Data were collected from questionnaires, medical records, and semi-structured telephonic interviews. Health-related quality of life was measured with the Paediatric Quality of Life Inventory, proxy-reported for participants with Dravet syndrome and for participants with non-Dravet aged younger than 18 years old and self-reported for participants with non-Dravet over 18 years old. Associations between health-related quality of life and disease features were explored with multivariable regression analyses, cross-sectionally in a cohort of 115 patients with Dravet and 48 patients with generalized epilepsy with febrile seizures plus and febrile seizures (non-Dravet) and longitudinally in a cohort of 52 Dravet patients and 13 non-Dravet patients. In the cross-sectional assessment in 2022, health-related quality of life was significantly lower in Dravet syndrome, compared to non-Dravet and normative controls. Health-related quality of life in the School and Psychosocial domain was significantly higher in older Dravet age groups. A higher health-related quality of life was associated with fewer behavioural problems [ β = -1.1; 95% confidence interval (CI), (-1.4 to -0.8)], independent walking ( β = 8.5; 95%CI (4.2-12.8)), compared to the use of a wheelchair), and fewer symptoms of autonomic dysfunction ( β = -2.1, 95%CI (-3.2 to -1.0)). Longitudinally, health-related quality of life was significantly higher seven years later in the course of disease in Dravet participants (Δ8.9 standard deviation (SD) 18.0, P < 0.05), mediated by a lower prevalence of behavioural problems ( β = -1.2, 95%CI (-2.0 to -0.4)), lower seizure frequency ( β = -0.1, 95%CI (-0.2 to -0.0)) and older age ( β = 0.03, 95%CI (0.01-0.04)). In summary, health-related quality of life was significantly higher at older age in Dravet syndrome. This finding may reflect the benefits of an advanced care strategy in recent years and a ceiling of severity of disease symptoms, possibly resulting in an increased wellbeing of parents and patients. The strong association with behavioural problems reinforces the need to incorporate a multidisciplinary approach, tailored to the age-specific needs of this patient group, into standard care

Chronic kidney disease and cognitive decline in patients with type 2 diabetes at elevated cardiovascular risk

Aims: We addressed the question whether chronic kidney disease (CKD) may contribute to cognitive decline in type 2 diabetes. Methods: Participants with type 2 diabetes with elevated cardiovascular risk or CKD from cognition substudies of two large trials were studied prospectively (CARMELINA: n = 2666, mean ± SD age 68.1 ± 8.7 years, CAROLINA: n = 4296; 64.7 ± 9.4 years). Estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio (UACR) at baseline were related to cognitive performance (Mini-Mental State Examination (MMSE) and attention and executive functioning score (A&E)) in linear regression analyses, adjusted for demographics, cardiovascular risk factors and treatment, at baseline and follow-up. Results: CKD at baseline was more common in CARMELINA than CAROLINA (eGFR<60 in 72.6 % and 19.6 %, macroalbuminuria in 35.0 % and 4.1 %, respectively). Baseline eGFR was related to A&E in CARMELINA (b = 0.02 per 10 ml/min/1.73m2, 95%CI [0.01,0.03]). Baseline UACR was related to A&E in CAROLINA (b = −0.01 per doubling of UACR mg/g, 95%CI [−0.02,−0.002]). Baseline UACR predicted decline in A&E in CAROLINA (median 6.1 years follow-up; b = −0.01, 95%CI [−0.03,−0.0001] per doubling of UACR mg/g). Conclusions: eGFR and UACR were associated with A&E in two cohorts with type 2 diabetes, enriched for CKD and cardiovascular disease. The small effect size estimates indicate limited impact of kidney dysfunction on cognition in this setting. ClinicalTrials.go