AI Article Synopsis

  • - The study investigates the role of routine blood parameters in predicting epilepsy outcomes, alongside conventional methods like imaging and EEG.
  • - Analyzing data from 1782 patients over three years, the research found significant correlations between certain clinical factors (like age and gender) and seizure outcomes, with a modest improvement in prediction accuracy when blood tests were included.
  • - Key blood markers such as fibrinogen and bilirubin showed some prognostic value, suggesting they could help enhance our understanding of epilepsy and treatment resistance.

Article Abstract

: Determining the outcome of epilepsy is crucial for making proactive and timely treatment decisions and for counseling patients. Recent research efforts have focused on using various imaging techniques and EEG for prognostication; however, there is insufficient evidence regarding the role of blood parameters. Our study aimed to investigate the additional prognostic value of routine blood parameters in predicting epilepsy outcomes. : We analyzed data from 1782 patients who underwent routine blood tests within 90 days of their first visit and had a minimum follow-up duration of three years. The etiological types were structural (35.1%), genetic (14.2%), immune (4.7%), infectious (2.9%), and unknown (42.6%). The outcome was defined as the presence of seizures in the last year. : Initially, a multivariate analysis was conducted based on clinical variables, MRI data, and EEG data. This analysis revealed that sex, age of onset, referred cases, epileptiform discharge, structural etiology, and the number of antiseizure medications were related to the outcome, with an area under the curve (AUC) of 0.705. Among the blood parameters, fibrinogen, bilirubin, uric acid, and aPTT were significant, with AUCs of 0.602, 0.597, 0.455, and 0.549, respectively. Including these blood parameters in the analysis slightly improved the AUC to 0.710. : Some blood parameters were found to be related to the final outcome, potentially paving the way to understanding the mechanisms of epileptogenesis and drug resistance.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11432444PMC
http://dx.doi.org/10.3390/jcm13185517DOI Listing

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