Electroencephalographic Abnormalities in the Screening for Pilot Applicants in Korea.
10.3988/jcn.2018.14.2.212
- Author:
Dan A OH
1
;
Hyeyun KIM
;
Eun Kee BAE
Author Information
1. Department of Neurology, Inha University Hospital, Incheon, Korea. alchemist0210@gmail.com
- Publication Type:Original Article
- Keywords:
electroencephalography;
screening;
seizure;
epilepsy;
pilots
- MeSH:
Aviation;
Electroencephalography;
Epilepsy;
Humans;
Hyperventilation;
Korea*;
Male;
Mass Screening*;
Photic Stimulation;
Retrospective Studies;
Risk Factors;
Seizures
- From:Journal of Clinical Neurology
2018;14(2):212-214
- CountryRepublic of Korea
- Language:English
-
Abstract:
BACKGROUND AND PURPOSE: Electroencephalography (EEG) is often used as a screening tool for selecting pilots despite controversy regarding its contribution to aviation safety. We investigated EEG abnormalities in Korean commercial pilot applicants in order to identify the usefulness of EEG screening in this population. METHODS: We retrospectively analyzed the EEG results of 740 unselected pilot applicants who underwent waking EEG at Inha University Hospital from January 2013 to May 2017. EEG recording was performed for 30 minutes, which included 3 minutes of hyperventilation and intermittent photic stimulation. RESULTS: The pilot applicants were predominantly male (95.3%) and had a mean age of 27.8 years (range: 16–40 years). Nine of them (1.2%) exhibited EEG abnormalities; the most common abnormality (six applicants) was a small amount of generalized irregular slow activities, while the other three applicants (0.4%) exhibited epileptiform discharges, with two showing generalized spike-and-wave complexes and one showing a few spike-and-wave complexes in the left frontotemporal area. The two applicants with generalized spike-and-wave complexes were found to have experienced clinical seizures by a neurologist during detailed history-taking. CONCLUSIONS: This study found that 2 of 740 pilot applicants (0.3%) were diagnosed with epilepsy by routine EEG screening in an unselected population. Considering the low predictive value of EEG without the relevant clinical history in an unselected healthy young population, our findings raise questions regarding the cost-effectiveness of the current EEG screening protocol applied to pilot applicants. We suggest that a more-targeted and standardized EEG screening approach be applied to pilot applicants with epilepsy risk factors or a seizure history as determined by thorough medical history-taking.
