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Original Contribution
May 2006

Distinguishing Sleep Disorders From Seizures: Diagnosing Bumps in the Night

Author Affiliations

Author Affiliations: Epilepsy Research Centre, Department of Medicine (Neurology), University of Melbourne, Austin Health (Drs Derry and Marini, Mss Kron and Glencross, and Profs Scheffer and Berkovic), Paediatric Sleep Department, Monash Medical Centre (Dr Davey), and Sleep Unit, Epworth Hospital (Dr Johns), Victoria, and Royal Children's Hospital, Melbourne (Prof Scheffer), Australia.

Arch Neurol. 2006;63(5):705-709. doi:10.1001/archneur.63.5.705

Background  Abnormal paroxysmal events in sleep may be parasomnias or epileptic seizures. In nocturnal frontal lobe epilepsy (NFLE), the unusual seizure features often lead to diagnostic confusion with nonepileptic parasomnias; video-electroencephalography monitoring is usually required to make the diagnosis.

Objective  To examine the reliability of the clinical history in diagnosing NFLE, using the Frontal Lobe Epilepsy and Parasomnias (FLEP) scale.

Design  The FLEP scale, comprising specific questions reflecting the diagnostic features of NFLE and parasomnias, was developed by an expert panel following review of the literature. It was then validated in a sample of individuals with firmly diagnosed nocturnal events.

Setting  Patients were recruited after appropriate diagnostic workup in tertiary sleep and epilepsy referral centers in Melbourne, Australia.

Participants  Sixty-two patients (45 men) with paroxysmal nocturnal events.

Intervention  Two independent interviews were conducted in each case, with the patient and a witness, by researchers blinded to the diagnosis.

Main Outcome Measure  The diagnosis obtained from scores on the FLEP scale was compared with the confirmed diagnosis in each patient.

Results  Nocturnal frontal lobe epilepsy was correctly diagnosed from the FLEP score in 31 of 31 patients, with a sensitivity of 1.0 (95% confidence interval [CI], 0.85-1.00), specificity of 0.90 (95% CI, 0.73-0.97), positive predictive value of 0.91 (95% CI, 0.75-0.97), and negative predictive value of 1.00 (95% CI, 0.85-1.00).

Conclusions  A diagnosis of NFLE can be made reliably using the clinical features identified in the FLEP scale. This may reduce the requirement for tertiary referral and extensive inpatient monitoring.