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Sarcopenia and Anti-seizure Medication Response in Juvenile Myoclonic Epilepsy

Overview
Journal Brain Behav
Specialty Psychology
Date 2024 Mar 12
PMID 38468473
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Abstract

Introduction: This study aimed to investigate the presence of sarcopenia in patients with juvenile myoclonic epilepsy (JME) and the association between sarcopenia and response to anti-seizure medication (ASM) in patients with JME.

Methods: We enrolled 42 patients with JME and 42 healthy controls who underwent brain magnetic resonance imaging with three-dimensional T1-weighted imaging. We measured the temporal muscle thickness (TMT), a radiographic marker for sarcopenia, using T1-weighted imaging. We compared the TMT between patients with JME and healthy controls and analyzed it according to the ASM response in patients with JME. We also performed a receiver operating characteristic (ROC) curve analysis to evaluate how well the TMT differentiated the groups.

Results: The TMT in patients with JME did not differ from that in healthy controls (9.630 vs. 9.956 mm, p = .306); however, ASM poor responders had a lower TMT than ASM good responders (9.109 vs. 10.104 mm, p = .023). ROC curve analysis revealed that the TMT exhibited a poor performance in differentiating patients with JME from healthy controls, with an area under the ROC curve of .570 (p = .270), but good performance in differentiating between ASM good and poor responders, with an area under the ROC curve of .700 (p = .015).

Conclusion: The TMT did not differ between patients with JME and healthy controls; however, it was reduced in ASM poor responders compared to ASM good responders, suggesting a link between ASM response and sarcopenia in patients with JME. TMT can be used to investigate sarcopenia in various neurological disorders.

Citing Articles

Sarcopenia and anti-seizure medication response in juvenile myoclonic epilepsy.

Kim J, Lee H, Lee D, Park K Brain Behav. 2024; 14(3):e3464.

PMID: 38468473 PMC: 10928337. DOI: 10.1002/brb3.3464.

References
1.
Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin J, Pujol S . 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging. 2012; 30(9):1323-41. PMC: 3466397. DOI: 10.1016/j.mri.2012.05.001. View

2.
Kikinis R, Pieper S . 3D Slicer as a tool for interactive brain tumor segmentation. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2011:6982-4. PMC: 3991434. DOI: 10.1109/IEMBS.2011.6091765. View

3.
McNamara N, Romanowski E, Olson D, Shellhaas R . Bone Health and Endocrine Comorbidities in Pediatric Epilepsy. Semin Pediatr Neurol. 2017; 24(4):301-309. DOI: 10.1016/j.spen.2017.10.005. View

4.
Cai Y, Feng F, Wei Q, Jiang Z, Ou R, Shang H . Sarcopenia in Patients With Parkinson's Disease: A Systematic Review and Meta-Analysis. Front Neurol. 2021; 12:598035. PMC: 7973225. DOI: 10.3389/fneur.2021.598035. View

5.
Cruz-Jentoft A, Sayer A . Sarcopenia. Lancet. 2019; 393(10191):2636-2646. DOI: 10.1016/S0140-6736(19)31138-9. View