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      Physical and Family History Variables Associated With Neurological and Cognitive Development in Sturge-Weber Syndrome

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          Abstract

          Sturge-Weber syndrome (SWS) is caused by a somatic mutation in GNAQ leading to capillary venous malformations in the brain presenting with various neurological, ophthalmic, and cognitive symptoms of variable severity. This clinical variability makes accurate prognosis difficult. We hypothesized that the greater extent of physical factors (extent of skin, eye, and brain involvement), presence of possible genetic factors (gender and family history), and age of seizure onset may be associated with greater symptom severity and need for surgery in patients with SWS. The questionnaire was collected from 277 participants (age: two months to 66 years) with SWS brain involvement at seven US sites. Bilateral brain involvement was associated with both learning disorder and intellectual disability, whereas port-wine birthmark extent was associated with epilepsy and an increased likelihood of glaucoma surgery. Subjects with family history of vascular birthmarks were also more likely to report symptomatic strokes, and family history of seizures was associated with earlier seizure onset. Learning disorder, intellectual disability, strokelike episodes, symptomatic stroke, hemiparesis, visual field deficit, and brain surgery were all significantly associated with earlier onset of seizures. The extent of brain and skin involvement in SWS, as well as the age of seizure onset, affect prognosis. Other genetic factors, particularly variants involved in vascular development and epilepsy, may also contribute to neurological prognosis, and further study is needed.

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          Author and article information

          Journal
          Pediatric Neurology
          Pediatric Neurology
          Elsevier BV
          08878994
          December 2018
          December 2018
          Article
          10.1016/j.pediatrneurol.2018.12.002
          7288445
          30853154
          68930b96-0e66-4275-80f0-454a57ba7528
          © 2018

          https://www.elsevier.com/tdm/userlicense/1.0/

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