Prevalence and associated factors of nerve conduction study abnormality in children with suspected polyneuropathy diseases: A retrospective cross-sectional study
Keywords:
electrodiagnosis, polyneuropathy, pediatricAbstract
Background: Electrodiagnosis (EDX) testing plays an important role in the diagnosis of neuromuscular disorders in childhood. However, no previous studies have investigated the prevalence and associated factors of the Nerve Conduction Study (NCS) abnormality in children with suspected polyneuropathy diseases.
Objectives: To determine the prevalence and associated factors of NCS abnormality in children with suspected polyneuropathy diseases.
Methods: Our study used medical records from patients within Queen Sirikit National Institute of Child Health (QSNICH). Data collection included demographic data and the characteristic features of NCS results. The data was then analyzed using a statistical calculation program.
Results: Of the 48 participants analyzed, 29 were diagnosed with polyneuropathy based on the EDX findings. The prevalence of abnormal findings of NCS was 60.4 % (95%CI: 45.3, 74.2). There were no significant differences in age, sex, weight, height, duration of signs or symptoms, and birth history between the two groups. The most affected motor nerve were the peroneal nerves (38 nerves from a total of 47 nerves, equating to an abnormal rate of 80.9%) and the most affected sensory nerve were the sural nerves (29 nerves from a total of 32 nerves, equating to an abnormal rate of 90.6%).
Conclusion: The prevalence of abnormal findings in NCS of children with suspected polyneuropathy was 60.4 %. There were no significant differences in variables between the two groups. The most affected motor and sensory nerves in children with suspected polyneuropathy were peroneal nerve and sural nerve respectively.
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References
Karakis I, Liew W, Darras BT, Jones HR, Kang PB. Referral and diagnostic trends in pediatric electromyography in the molecular era. Muscle Nerve. 2014;50:244-9.
Kang PB, McMillan HJ, Kuntz NL, Lehky TJ, Alter KE, Fitzpatrick KF, et al. Utility and practice of electrodiagnostic testing in the pediatric population: An AANEM consensus statement. Muscle Nerve. 2020;61:143-55.
Kroczka S, Steczkowska M, Kacinski M. [Usefulness of electromyography in diagnostics of the neuro-muscular diseases]. Przegl Lek. 2009;66:913-9.
Sladky JT. Guillain-Barré syndrome in children. J Child Neurol. 2004;19:191-200.
Karakis I, Gregas M, Darras BT, Kang PB, Jones HR. Clinical correlates of Charcot-Marie-Tooth disease in patients with pes cavus deformities. Muscle Nerve. 2013;47:488-92.
Saporta AS, Sottile SL, Miller LJ, Feely SM, Siskind CE, Shy ME. Charcot-Marie-Tooth disease subtypes and genetic testing strategies. Ann Neurol. 2011;69:22-33.
McMillan HJ, Santagata S, Shapiro F, Batish SD, Couchon L, Donnelly S, et al. Novel MPZ mutations and congenital hypomyelinating neuropathy. Neuromuscul Disord. 2010;20:725-9.
McMillan HJ, Kang PB, Jones HR, Darras BT. Childhood chronic inflammatory demyelinating polyradiculoneuropathy: Combined analysis of a large cohort and eleven published series. Neuromuscul Disord. 2013;23:103-11.
Pitt MC. Nerve conduction studies and needle EMG in very small children. Eur J Paediatr Neurol. 2012;16:285-91.
Joyal KM, MacGregor JV, Hayawi LM, Webster RJ, McMillan HJ. Not so shocking: electromyography in pediatrics remains feasible and diagnostically useful. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 2021;49:696-702.
Kang PB. Pediatric nerve conduction studies and EMG. In: Blum AS, Rutkove SB, editors. The Clinical Neurophysiology Primer. Totowa, NJ: Humana Press; 2007. p. 369-89.
Abuelwafaa N, Ahmed H, Omer I, Abdullah M, Ahmed A, Musa A. Electrophysiological characterization of neuropathy complicating Type 1 diabetes mellitus. J Diabetes Res. 2019;2019:2435261.
Ryan CS, Conlee EM, Sharma R, Sorenson EJ, Boon AJ, Laughlin RS. Nerve conduction normal values for electrodiagnosis in pediatric patients. Muscle Nerve. 2019;60:155-60.
Turkyilmaz H, Guzel O, Edizer S, Unalp A. Evaluation of polyneuropathy and associated risk factors in children with type 1 diabetes mellitus. Turk J Med Sci. 2017;47:942-6.
Oaklander AL, Mills AJ, Kelley M, Toran LS, Smith B, Dalakas MC, et al. Peripheral neuropathy evaluations of patients with prolonged long COVID. Neurology - Neuroimmunology Neuroinflammation. 2022;9:e1146.
Charles M, Soedamah-Muthu SS, Tesfaye S, Fuller JH, Arezzo JC, Chaturvedi N, et al. Low peripheral nerve conduction velocities and amplitudes are strongly related to diabetic microvascular complications in type 1 diabetes: the EURODIAB Prospective Complications Study. Diabetes Care. 2010;33:2648-53.
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