Reach Us +44-1477412632
All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Abstract

Seizure Disorders at Madonna University Teaching Hospital; Prevalence, Patterns and Co-Morbidities – A 7 Year Review

Objective: The study was designed to study the prevalence, patterns and comorbidities of seizure disorders among psychiatric clinic attendees at Madonna University Teaching Hospital, Elele, Rivers State, Nigeria, over a 7-year period.

Materials and Methods: Case files of all psychiatric patients who attended the psychiatric clinic of Madonna University Teaching Hospital (MUTH) from June 2011 to June 2018 were revived. Records of patients who had a diagnosis of seizure disorder were studied.

Results: A total of 2,283 patients attended the psychiatric clinic within the time frame stated. Out of this, 148 were diagnosed with a seizure disorder, hence giving a prevalence of 6.5%. The largest proportions of the subjects were aged 21-30 years (33.1%), female (54.1%), single (71.6%) and had a secondary education (39.9%). Tonic clinic seizure was the most prevalent seizure type (55.4%). Most of the patients had neither medical (70.3%) nor psychiatric co-morbidity (60.8%). Temporal lobe epilepsy had the highest psychiatric co-morbidity (91.7%) and the most common psychiatric co-morbidity was Depression (16.2%). The association between seizure type and psychiatric co-morbidity was statistically significant (χ2=22.388, df=8, p<0.05).

Conclusion: Tonic-clonic seizure was the most prevalent seizure type seen but those suffering from temporal lobe epilepsy had the highest rate of psychiatric morbidity. Depression was the most common psychiatric co-morbidity among epileptic patients and seizure patients have the tendency to develop another medical condition as they grow older.


Author(s):

 Chidozie Donald Chukwujekwu



Abstract | Full-Text | PDF

Share this  Facebook  Twitter  LinkedIn  Google+
Flyer image

Abstracted/Indexed in

  • Index Copernicus
  • Google Scholar
  • China National Knowledge Infrastructure (CNKI)
  • Directory of Research Journal Indexing (DRJI)
  • WorldCat
  • Geneva Foundation for Medical Education and Research
  • Secret Search Engine Labs