Literature DB >> 32158313

Factors Associated with Good Seizure Control in Patients on Valproic Acid.

Mastura Ahmad1, Ab Fatah Ab Rahman2, Sapiah Sapuan3.   

Abstract

OBJECTIVE: This study aims to generate a reference range for valproic acid (VPA) in this cohort and determine the factors associated with good seizure control in patients taking this drug.
MATERIALS AND METHODS: We conducted a prospective, cohort, observational study among patients with epilepsy who received VPA treatment at Hospital Kuala Lumpur. The patients were considered to have good control if they had a 50% or higher seizure reduction in the one-year study period compared with the previous year. The VPA reference range was generated from those patients who had good control and whose drug concentration values were available. Multiple logistic regression analysis with a backward likelihood ratio method was applied to assess the predicting factors for good seizure control.
RESULTS: A total of 242 patients were recruited and followed up for one year. The VPA reference range was determined to be 40-85 mg/L. After multivariate analysis, significant predictive variables for good control were monotherapy [adjusted OR 4.74, 95% CI: 2.258, 9.947, p<0.001], non-smoking [adjusted OR 3.23, 95% CI: 1.099, 9.473, p=0.033], normal brain imaging results [adjusted OR 5.83, 95% CI: 2.507, 13.552, p<0.001], and the absence of stress [adjusted OR 19.98, 95% CI: 9.255, 42.764, p<0.001].
CONCLUSION: Monotherapy, non-smoking, normal brain imaging results, and the absence of stress are predictive of good seizure control in patients on VPA. However, a serum concentration of VPA in the reference range failed to predict good seizure control. ©Copyright 2020 by the Atatürk University School of Medicine - Available online at www.eurasianjmed.com.

Entities:  

Keywords:  Valproic acid; predictors; seizure

Year:  2020        PMID: 32158313      PMCID: PMC7051225          DOI: 10.5152/eurasianjmed.2020.19039

Source DB:  PubMed          Journal:  Eurasian J Med        ISSN: 1308-8734


  33 in total

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