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1.
Epilepsia ; 59(9): 1676-1683, 2018 09.
Article in English | MEDLINE | ID: mdl-30019464

ABSTRACT

OBJECTIVE: To determine the frequency and yield of neuroimaging in patients with known seizure disorders presenting to the emergency department (ED) with recurrent (nonindex) seizures. METHODS: We reviewed 822 consecutive ED visits for nonindex seizures at the Oregon Health & Science University and the VA Portland Health Care System. For each visit, we abstracted details of the clinical presentation, whether neuroimaging was obtained, the results of neuroimaging, and the results of previous neuroimaging studies, when available. We determined whether ED neuroimaging led to an acute change in patient management (yield). Clinical factors associated with obtaining ED neuroimaging, and with the yield of neuroimaging, were evaluated by multivariate logistic regression. RESULTS: A majority (78%) of ED seizure visits were for nonindex seizures. Neuroimaging was obtained in 381 of 822 nonindex seizure visits (46%). Of these, 11 imaging studies (3%) led to an acute change in patient management, 8 (2%) after excluding false-positive scans. Acute head trauma, prolonged alteration of consciousness, and a focal neurologic examination at presentation were associated with an increased yield of ED neuroimaging. Absent any of these 3 clinical factors the true positive yield of neuroimaging was zero. SIGNIFICANCE: ED neuroimaging was performed in nearly half of all patients presenting with nonindex seizures. A more conservative use of ED neuroimaging for nonindex seizures, based on clinical factors at presentation, could decrease imaging frequency with minimal loss of yield.


Subject(s)
Emergency Service, Hospital , Neuroimaging/methods , Seizures/diagnostic imaging , Adult , Aged , Female , Humans , Logistic Models , Male , Middle Aged , Physical Examination , Retrospective Studies
2.
Curr Neurol Neurosci Rep ; 16(11): 96, 2016 11.
Article in English | MEDLINE | ID: mdl-27628963

ABSTRACT

The treatment of epilepsy in older individuals is an increasingly important topic in neurology and an area that all treating neurologists should have familiarity with. As the population ages, the number of patients over 65 who present with new-onset epilepsy will increase, as will the complexity of their comorbid medical and neurological disorders. In older patients, seizures are often unwitnessed, or present with atypical symptoms, making the diagnosis more challenging. Additionally, there are relatively limited data to guide the use of anti-epileptic medications and other treatments in this patient population. Elderly patients may experience increased side effects from anti-epileptic drugs compared with younger patients and in general, are likely to have a narrower therapeutic window and greater degree of individual variation with respect to side effects. Familiarity with anti-epileptic medication dosing and titration schedules, possible adverse effects, and potential pharmacokinetic and drug interactions can be helpful when considering treatment options and may increase the likelihood of success.


Subject(s)
Anticonvulsants/therapeutic use , Epilepsy/drug therapy , Aged , Comorbidity , Drug Interactions , Epilepsy/epidemiology , Humans , Seizures/drug therapy
4.
Clin Trials ; 10(4): 568-86, 2013 Aug.
Article in English | MEDLINE | ID: mdl-23818435

ABSTRACT

BACKGROUND: Epilepsy is a common neurological disorder that affects approximately 50 million people worldwide. Both risk of epilepsy and response to treatment partly depend on genetic factors, and gene identification is a promising approach to target new prediction, treatment, and prevention strategies. However, despite significant progress in the identification of genes causing epilepsy in families with a Mendelian inheritance pattern, there is relatively little known about the genetic factors responsible for common forms of epilepsy and so-called epileptic encephalopathies. Study design The Epilepsy Phenome/Genome Project (EPGP) is a multi-institutional, retrospective phenotype-genotype study designed to gather and analyze detailed phenotypic information and DNA samples on 5250 participants, including probands with specific forms of epilepsy and, in a subset, parents of probands who do not have epilepsy. RESULTS: EPGP is being executed in four phases: study initiation, pilot, study expansion/establishment, and close-out. This article discusses a number of key challenges and solutions encountered during the first three phases of the project, including those related to (1) study initiation and management, (2) recruitment and phenotyping, and (3) data validation. The study has now enrolled 4223 participants. CONCLUSIONS: EPGP has demonstrated the value of organizing a large network into cores with specific roles, managed by a strong Administrative Core that utilizes frequent communication and a collaborative model with tools such as study timelines and performance-payment models. The study also highlights the critical importance of an effective informatics system, highly structured recruitment methods, and expert data review.


Subject(s)
Epilepsy/genetics , Genotype , Phenotype , Genetic Research , Humans , Information Management , Oligonucleotide Array Sequence Analysis , Research Design , Retrospective Studies
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