Objective: To ascertain factors that are related to the antiepileptic drug load in epilepsy.
Methods: In this cross-sectional study, we analyzed a large cohort of conservatively treated patients with epilepsy (n = 1135) and a smaller homogeneous group of presurgical patients with neuropathologically confirmed unilateral hippocampal sclerosis (n = 91). Considered clinical variables comprised (1) presence of an underlying cerebral lesion, (2) onset and (3) duration of epilepsy, (4) seizure frequency, (5) generalized or focal to bilateral tonic-clonic seizures, (6) ictal impairment of awareness, and (7) a history of convulsive status epilepticus. In the presurgical sample, we additionally considered (8) the degree of pathology (hippocampal neuronal cell densities) instead of (1) presence of a cerebral lesion and (9) an overall rating of epilepsy severity (GASE scale). Drug load was quantified as (a) the number of concomitant antiepileptic drugs (AEDs) and (b) the total defined daily dose (DDD).
Results: Analyses disclosed only small correlations between clinical variables and drug load indices. In the conservatively treated cohort, the multiple regression analyses revealed that epilepsy onset, cerebral lesion, history of convulsive status epilepticus, and seizure frequency combined explained only 6%-10% of variance in drug load. Nearly the same variance (5%-8%) could be explained by duration of epilepsy alone. Degree of hippocampal pathology and the epilepsy severity ratings were not related to drug load indices.
Significance: Clinical markers of epilepsy severity were only marginally associated with drug load. Findings rather indicate that patients seem to accumulate drugs due to the chronicity of epilepsy. Overall, the drug load remained largely unexplained. The findings nevertheless call for scrutinizing multidrug therapies in patients with long-lasting epilepsies.
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BMC Vet Res
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Aquaculture Division, National Institute of Oceanography and Fisheries, NIOF, Cairo, Egypt.
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Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China; Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang Province 310058, China. Electronic address:
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Departamento de Parasitologia e Patologia, Universidade Federal de Alfenas, Alfenas, 37130-001, Minas Gerais, Brazil.
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Accurate detection and monitoring of BK polyomavirus (BKV) infection is of critical importance in the post-transplant period, guiding treatment decisions that balance the anti-rejection effects of immune suppression with host-protective effects of immune defense. Historically, test methods for BKV have been independently developed by laboratories to address this unmet need. However, these assays can suffer from inconsistencies in analytical variability, which in turn have hindered the establishment of commutable and clinically actionable viral load thresholds for clinical management.
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