Impact of Levetiracetam Treatment on 5-Aminolevulinic Acid Fluorescence Expression in IDH1 Wild-Type Glioblastoma.
Johannes WachÁgi GüresirMotaz HamedHartmut VatterUlrich HerrlingerErdem GüresirPublished in: Cancers (2022)
The amino acid 5-aminolevulinic acid (5-ALA) is the most established neurosurgical fluorescent dye and facilitates the achievement of gross total resection. In vitro studies raised concerns that antiepileptic drugs (AED) reduce the quality of fluorescence. Between 2013 and 2018, 175 IDH1 wild-type glioblastoma (GB) patients underwent 5-ALA guided surgery. Patients' data were retrospectively reviewed regarding demographics, comorbidities, medications, tumor morphology, neuropathological characteristics, and their association with intraoperative 5-ALA fluorescence. The fluorescence of 5-ALA was graded in a three point scaling system (grade 0 = no; grade 1 = weak; grade 2 = strong). Univariable analysis shows that the intake of dexamethasone or levetiracetam, and larger preoperative tumor area significantly reduce the intraoperative fluorescence activity (fluorescence grade: 0 + 1). Multivariable binary logistic regression analysis demonstrates the preoperative intake of levetiracetam (adjusted odds ratio: 12.05, 95% confidence interval: 3.91-37.16, p = 0.001) as the only independent and significant risk factor for reduced fluorescence quality. Preoperative levetiracetam intake significantly reduced intraoperative fluorescence. The indication for levetiracetam in suspected GB should be carefully reviewed and prophylactic treatment avoided for this tumor entity. Future comparative trials of neurosurgical fluorescent dyes need a special focus on the influence of levetiracetam on fluorescence intensity. Further trials must validate our findings.
Keyphrases
- single molecule
- energy transfer
- wild type
- end stage renal disease
- patients undergoing
- chronic kidney disease
- photodynamic therapy
- ejection fraction
- newly diagnosed
- prognostic factors
- amino acid
- quantum dots
- low dose
- poor prognosis
- pulmonary embolism
- peritoneal dialysis
- body mass index
- machine learning
- high dose
- long non coding rna
- big data
- high intensity
- electronic health record
- atrial fibrillation
- high grade
- acute coronary syndrome
- drug induced
- data analysis
- case control
- fluorescent probe