A genetic basis is identified in 74% cases of paediatric hyperCKaemia without weakness presenting to a tertiary paediatric neuromuscular centre.

Neuromuscul Disord

Kids Neuroscience Centre, The Children's Hospital at Westmead, Sydney, New South Wales, Australia; Discipline of Child and Adolescent Health, University of Sydney, Sydney, New South Wales, Australia; Children's Medical Research Institute, 214 Hawkesbury Road, Westmead, NSW2145, Australia; Department of Clinical Genetics, Children's Hospital at Westmead, Sydney, New South Wales, Australia.

Published: September 2022

Paediatric hyperCKaemia without weakness presents a clinical conundrum. Invasive investigations with low diagnostic yields, including muscle biopsy, may be considered unjustifiable. Improved access to genome-wide genetic testing has shifted first-line investigations towards genetic studies in neuromuscular disease. This research aims to provide an evidence-based diagnostic approach to paediatric hyperCKaemia without weakness, a current gap in the literature. We identified 47 individuals (10-months to 16-years-old; 34 males, 13 females) from 43 families presenting with hyperCKaemia on two or more occasions, without weakness, from The Children's Hospital at Westmead Neuromuscular Clinic Database. Clinical features, investigations and outcomes were analysed via retrospective chart review. Genetic testing has been performed in 34/43. Genetic variants explaining hyperCKaemia were identified in 25/34 (74%) using multiplex ligation-dependent probe amplification, massive parallel sequencing, single gene testing and exome sequencing. Pathogenic/likely pathogenic variants were identified in 19 neuromuscular disease genes and six metabolic myopathy genes. Individuals with metabolic diagnoses had higher peak creatine kinase levels that sometimes normalized. Conversely, creatine kinase levels remained persistently elevated those with neuromuscular diagnoses. In summary, a genetic cause is found in most paediatric patients with hyperCKaemia without weakness informing clinical management and counselling. Thus, we propose a diagnostic algorithm for this cohort.

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Source
http://dx.doi.org/10.1016/j.nmd.2022.07.401DOI Listing

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