Literature DB >> 27517350

Randomized double-blind comparison of cognitive and EEG effects of lacosamide and carbamazepine.

Kimford J Meador1, David W Loring2, Alan Boyd3, Javier Echauz4, Suzette LaRoche5, Naymee Velez-Ruiz6, Pearce Korb7, William Byrnes8, Deanne Dilley9, Simon Borghs10, Marc De Backer11, Tyler Story12, Peter Dedeken13, Elizabeth Webster14.   

Abstract

Differential effectiveness of antiepileptic drugs (AEDs) is more commonly determined by tolerability than efficacy. Cognitive effects of AEDs can adversely affect tolerability and quality of life. This study evaluated cognitive and EEG effects of lacosamide (LCM) compared with carbamazepine immediate-release (CBZ-IR). A randomized, double-blind, double-dummy, two-period crossover, fixed-dose study in healthy subjects compared neuropsychological and EEG effects of LCM (150mg, b.i.d.) and CBZ-IR (200mg, t.i.d.). Testing was conducted at screening, predrug baseline, the end of each treatment period (3-week titration; 3-week maintenance), and the end of each washout period (4weeks after treatment). A composite Z-score was derived for the primary outcome variable (computerized cognitive tests and traditional neuropsychological measures) and separately for the EEG measures. Other variables included individual computer, neuropsychological, and EEG scores and adverse events (AEs). Subjects included 60 healthy adults (57% female; mean age: 34.4years [SD: 10.5]); 44 completed both treatments; 41 were per protocol subjects. Carbamazepine immediate-release had worse scores compared with LCM for the primary composite neuropsychological outcome (mean difference=0.33 [SD: 1.36], p=0.011) and for the composite EEG score (mean difference=0.92 [SD: 1.77], p=0.003). Secondary analyses across the individual variables revealed that CBZ-IR was statistically worse than LCM on 36% (4/11) of the neuropsychological tests (computerized and noncomputerized) and 0% of the four EEG measures; none favored CBZ-IR. Drug-related AEs occurred more with CBZ-IR (49%) than LCM (22%). Lacosamide had fewer untoward neuropsychological and EEG effects and fewer AEs and AE-related discontinuations than CBZ-IR in healthy subjects. Lacosamide exhibits a favorable cognitive profile.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Carbamazepine; Cognition; EEG; Lacosamide; Neuropsychology

Mesh:

Substances:

Year:  2016        PMID: 27517350     DOI: 10.1016/j.yebeh.2016.07.007

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  7 in total

1.  Lacosamide and sodium channel-blocking antiepileptic drug cross-titration against levetiracetam background therapy.

Authors:  M Baulac; W Byrnes; P Williams; S Borghs; E Webster; M De Backer; P Dedeken
Journal:  Acta Neurol Scand       Date:  2016-10-06       Impact factor: 3.209

Review 2.  Quantitative Pharmaco-Electroencephalography in Antiepileptic Drug Research.

Authors:  Yvonne Höller; Christoph Helmstaedter; Klaus Lehnertz
Journal:  CNS Drugs       Date:  2018-09       Impact factor: 5.749

3.  Lacosamide may improve cognition in patients with focal epilepsy: EpiTrack to compare cognitive side effects of lacosamide and carbamazepine.

Authors:  Claudio Liguori; Francesca Izzi; Natalia Manfredi; Nicola Biagio Mercuri; Fabio Placidi
Journal:  Epilepsy Behav Case Rep       Date:  2018-03-12

Review 4.  Modulation of Brain Hyperexcitability: Potential New Therapeutic Approaches in Alzheimer's Disease.

Authors:  Sofia Toniolo; Arjune Sen; Masud Husain
Journal:  Int J Mol Sci       Date:  2020-12-07       Impact factor: 5.923

Review 5.  Astroglial Connexin43 as a Potential Target for a Mood Stabiliser.

Authors:  Motohiro Okada; Tomoka Oka; Misaki Nakamoto; Kouji Fukuyama; Takashi Shiroyama
Journal:  Int J Mol Sci       Date:  2020-12-30       Impact factor: 5.923

6.  Lacosamide on background eeg activity in brain tumor-related epilepsy patients: A case series study.

Authors:  Marta Maschio; Alessia Zarabla; Andrea Maialetti; Francesca Sperati; Loredana Dinapoli; Sabrina Dispenza; Gianluca Petreri; Tonino Cantelmi
Journal:  Brain Behav       Date:  2018-10-17       Impact factor: 2.708

7.  Deep learning and feature based medication classifications from EEG in a large clinical data set.

Authors:  David O Nahmias; Eugene F Civillico; Kimberly L Kontson
Journal:  Sci Rep       Date:  2020-08-26       Impact factor: 4.996

  7 in total

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