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1.
Dev Med Child Neurol ; 65(2): 200-206, 2023 02.
Artículo en Inglés | MEDLINE | ID: mdl-35820144

RESUMEN

AIM: To assess the association between epilepsy characteristics and proxy-reported health-related quality of life (HRQoL) in children and young people with non-ambulatory cerebral palsy (CP) and seizures. METHOD: This was a cross-sectional study of 164 children and young people (74 females, 90 males; mean age 10 years 6 months, range 2-21 years, SD 5 years 5 months). Caregivers completed the Child Health Index of Life with Disabilities (CPCHILD) in an outpatient setting. We utilized univariable linear regression and multivariable modeling to study relationships between variables and CPCHILD scores. RESULTS: Gross Motor Function Classification System levels were 37% IV and 63% V. Sociodemographic factors included the Child Opportunity Index (median 51, interquartile range [IQR] 25-80). A median of 2 (IQR 1-3) antiseizure medications (ASMs) were used, and days with seizures ranged from 0 (30%) to 28 (20%) days in the previous 4 weeks. Total CPCHILD scores decreased 2.3 points for each ASM (95% confidence interval [CI] -4.1 to -0.42). Compared to persons with focal epilepsy, those with generalized epilepsy had lower total CPCHILD scores (-5.7; 95% CI -11 to -0.55). Number of days with seizures was not associated with total CPCHILD scores. INTERPRETATION: Proxy-reported HRQoL was affected by epilepsy-specific features in children and young people with severe CP. WHAT THIS PAPER ADDS: Health-related quality of life (HRQoL) was lower with increasing numbers of antiseizure medications. Overall quality of life (QoL) scores were lower by a similar amount, independent of seizure frequency. HRQoL was lower in persons with recent hospital admissions for epilepsy.


Asunto(s)
Parálisis Cerebral , Epilepsia , Masculino , Femenino , Niño , Humanos , Adolescente , Lactante , Calidad de Vida , Estudios Transversales , Encuestas y Cuestionarios , Epilepsia/epidemiología , Epilepsia/complicaciones
2.
Epilepsia ; 62(1): 198-216, 2021 01.
Artículo en Inglés | MEDLINE | ID: mdl-33368200

RESUMEN

OBJECTIVE: Common data elements (CDEs) are standardized questions and answer choices that allow aggregation, analysis, and comparison of observations from multiple sources. Clinical CDEs are foundational for learning health care systems, a data-driven approach to health care focused on continuous improvement of outcomes. We aimed to create clinical CDEs for pediatric epilepsy. METHODS: A multiple stakeholder group (clinicians, researchers, parents, caregivers, advocates, and electronic health record [EHR] vendors) developed clinical CDEs for routine care of children with epilepsy. Initial drafts drew from clinical epilepsy note templates, CDEs created for clinical research, items in existing registries, consensus documents and guidelines, quality metrics, and outcomes needed for demonstration projects. The CDEs were refined through discussion and field testing. We describe the development process, rationale for CDE selection, findings from piloting, and the CDEs themselves. We also describe early implementation, including experience with EHR systems and compatibility with the International League Against Epilepsy classification of seizure types. RESULTS: Common data elements were drafted in August 2017 and finalized in January 2020. Prioritized outcomes included seizure control, seizure freedom, American Academy of Neurology quality measures, presence of common comorbidities, and quality of life. The CDEs were piloted at 224 visits at 10 centers. The final CDEs included 36 questions in nine sections (number of questions): diagnosis (1), seizure frequency (9), quality of life (2), epilepsy history (6), etiology (8), comorbidities (2), treatment (2), process measures (5), and longitudinal history notes (1). Seizures are categorized as generalized tonic-clonic (regardless of onset), motor, nonmotor, and epileptic spasms. Focality is collected as epilepsy type rather than seizure type. Seizure frequency is measured in nine levels (all used during piloting). The CDEs were implemented in three vendor systems. Early clinical adoption included 1294 encounters at one center. SIGNIFICANCE: We created, piloted, refined, finalized, and implemented a novel set of clinical CDEs for pediatric epilepsy.


Asunto(s)
Elementos de Datos Comunes , Registros Electrónicos de Salud , Epilepsia , Neurología , Pediatría , Investigación sobre la Eficacia Comparativa , Monitoreo Epidemiológico , Epilepsia/diagnóstico , Epilepsia/fisiopatología , Epilepsia/terapia , Investigación sobre Servicios de Salud , Humanos , Ciencia de la Implementación , Evaluación de Procesos y Resultados en Atención de Salud , Mejoramiento de la Calidad
3.
Epilepsy Behav Rep ; 21: 100582, 2023.
Artículo en Inglés | MEDLINE | ID: mdl-36654732

RESUMEN

Background: GNAO1-related neurodevelopmental disorder is a heterogeneous condition characterized by hypotonia, developmental delay, epilepsy, and movement disorder. This study aims to better understand the spectrum of epilepsy associated with GNAO1 variants and experience with anti-seizure medications, and to review published epilepsy phenotypes in GNAO1. Methods: An online survey was distributed to caregivers of individuals diagnosed with GNAO1 pathogenic variants, and a literature review was conducted. Results: Fifteen respondents completed the survey with the median age of 39 months, including a novel variant p.Q52P. Nine had epilepsy - six had onset in the first week of life, three in the first year of life - but two reported no ongoing seizures. Seizure types varied. Individuals were taking a median of 3 seizure medications without a single best treatment. Our cohort was compared to a literature review of epilepsy in GNAO1. In 86 cases, 38 discrete variants were described; epilepsy is reported in 53 % cases, and a developmental and epileptic encephalopathy in 36 %. Conclusions: While GNAO1-related epilepsy is most often early-onset and severe, seizures may not always be drug resistant or lifelong. Experience with anti-seizure medications is varied. Certain variant "hotspots" may correlate with epilepsy phenotype though genotype-phenotype correlation is poorly understood.

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