system
Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: OBJECTIVE, METHODS, RESULTS. Meshes: Adolescent, Adult, Analysis of Variance, Chi-Square Distribution, Electroencephalography, Female, Humans, Interview, Psychological, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Seizures, Surveys and Questionnaires, Videotape Recording, Young Adult.
user
Does a structured questionnaire predict if convulsions are epileptic or nonepileptic? Context: Therapy for convulsive seizures is usually initiated on the basis of clinical assessment, without video/EEG confirmation, but a nonepileptic origin may eventually be demonstrated. This study evaluates the diagnostic value of a witness-questionnaire in distinguishing between convulsive epileptic seizures (CES) and convulsive nonepileptic seizures (CNES). We prospectively identified all adult patients admitted for video/EEG evaluation of convulsive attacks and interviewed the "best" witness using 12 questions on ictal and postictal features. Video/EEG diagnosed CES in 19 and CNES in 26 patients. The predictive accuracy of the questionnaire was 84.4%. Six features were strong predictors of CNES diagnosis: ictal eye closure, presence of side-to-side movements, prolonged seizure duration, and three postictal breathing features (not loud, shallow, no snoring).
assistant
A structured witness questionnaire distinguishes CES and CNES and will help in selecting patients for early video/EEG evaluation and rapid initiation of appropriate therapy. Final Decision: yes