Epilepsy research · 2014
Biopsychosocial predictors of psychogenic non-epileptic seizures.
СтатьяНазвание и аннотация: Перевод в очереди
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Elliott John O, Charyton Christine
Аннотация
BACKGROUND: Previous studies have identified numerous biological, psychological and social characteristics of persons with psychogenic non-epileptic seizures (PNES) however the strength of many of these factors have not been evaluated to determine which are predictive of the diagnosis compared to those that may only be stereotypes with limited clinical utility.
METHOD: A retrospective chart review of persons admitted to our epilepsy monitoring unit over a 6-year period was conducted to examine predictors of a video-EEG confirmed PNES diagnosis.
RESULTS: A total of 689 patients had events leading to a diagnosis, 47% (n=324) with PNES only, 12% (n=84) with PNES & Epilepsy and 41% (n=281) with Epilepsy only. Five biological predictors of a PNES only diagnosis were found; number of years with events (OR=1.10), history of head injury (OR=1.91), asthma (OR=2.94), gastro-esophageal reflux disease (OR=1.72) and pain (OR=2.25). One psychological predictor; anxiety (OR=1.72) and two social predictors; being married (OR=1.81) and history of physical/sexual abuse (OR=3.35). Two significant biological predictors of a PNES & Epilepsy diagnosis were found; migraine (OR=1.83) and gastro-esophageal reflux disease (OR=2.17).
CONCLUSIONS: Our findings support the importance of considering the biopsychosocial model for the diagnosis and treatment of PNES or PNES with concomitant epilepsy.
METHOD: A retrospective chart review of persons admitted to our epilepsy monitoring unit over a 6-year period was conducted to examine predictors of a video-EEG confirmed PNES diagnosis.
RESULTS: A total of 689 patients had events leading to a diagnosis, 47% (n=324) with PNES only, 12% (n=84) with PNES & Epilepsy and 41% (n=281) with Epilepsy only. Five biological predictors of a PNES only diagnosis were found; number of years with events (OR=1.10), history of head injury (OR=1.91), asthma (OR=2.94), gastro-esophageal reflux disease (OR=1.72) and pain (OR=2.25). One psychological predictor; anxiety (OR=1.72) and two social predictors; being married (OR=1.81) and history of physical/sexual abuse (OR=3.35). Two significant biological predictors of a PNES & Epilepsy diagnosis were found; migraine (OR=1.83) and gastro-esophageal reflux disease (OR=2.17).
CONCLUSIONS: Our findings support the importance of considering the biopsychosocial model for the diagnosis and treatment of PNES or PNES with concomitant epilepsy.