The Egyptian Journal of Neurology, Psychiatry and Neurosurgery (Mar 2023)

Determinants of quality of life in Nigerian female patients with epilepsy on carbamazepine and levetiracetam monotherapy

  • Ogunjimi Luqman,
  • Yaria Joseph,
  • Makanjuola Akintomiwa,
  • Alabi Akinyinka,
  • Aderinola Aderonke,
  • Osalusi Bamidele,
  • Oboh David,
  • Olusola-Bello Mojisola,
  • Falujo Bolanle,
  • Murtala Abdullahi,
  • Olawale Olatunbosun,
  • Fatai Fehintola,
  • Ogunniyi Adesola

DOI
https://doi.org/10.1186/s41983-023-00631-9
Journal volume & issue
Vol. 59, no. 1
pp. 1 – 11

Abstract

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Abstract Background The study is aimed to identify the predictors of Quality of Life (QOL) in women with epilepsy (WWE) on carbamazepine (CBM) and levetiracetam (LTM) monotherapy. 100 WWE were recruited (50 each on CBM and LTM), after clinical diagnosis of epilepsy supported by Electroencephalography (EEG) features and seizures classification by 2017 International League Against Epilepsy (ILAE) criteria, the Quality of Life Inventory Scale 31(QOLIE-31) and Zung Self-Rating Depression Scale (ZSRDS) were used to assess QOL and depression, respectively. Result Higher QOLIE-31 scores was seen in the LTM group across all domains except seizure worry (p = 0.051) compared to CBM group. Logistic regression showed that the use of CBM (p = 0.000), fast frequency on EEG (p = 0.005), longer duration of epilepsy (p = 0.017), presence of depression (p = 0.008) and lower level of education (p = 0.003) were predictors of QOL. Progesterone (p = 0.040), oestradiol (p = 0.011) and prolactin (p = 0.002) in follicular phase showed significant association with QOLIE-total score. In the luteal phase, luteinizing hormone–follicle stimulating hormone (LH–FSH) ratio (p = 0.009) and testosterone (p = 0.015), FSH (p = 0.015), prolactin (p = 0.000), showed significant association with QOL. None of the hormones independently predicts QOL. Conclusion LTM group appears to have better QOL than CBM group. Healthcare providers should focus on addressing these identified predictors which include medication effect, depression, Level of education, EEG background and duration of epilepsy with aim of improving QOL.

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