Pilot development of diagnostic tools for lower limb apophyseal injuries in children and adolescents.
IF 2.3 3区 生物学Q2 MULTIDISCIPLINARY SCIENCESPeerJPub Date : 2024-09-20eCollection Date: 2024-01-01DOI:10.7717/peerj.18101
Joseph Brooks, Antoni Caserta, Kade Paterson, Kelly-Ann Bowles, Terry Haines, Cylie Williams
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Abstract
Introduction: Lower limb apophyseal injuries commonly occur in children and adolescents with unknown incidence and prevalence. These conditions are considered benign, but impact children and adolescents quality of life and can lead to sport withdrawal at a crucial time. The primary aim of this research was to develop self-administered tools for two of the most common apophyseal injuries. The secondary aim was to test the sensitivity and specificity of the tools.
Methods: Study 1 used a three round online Delphi panel (n = 8), with expert consensus supported by robust literature. This panel developed a self-administered screening tool for calcaneal (Sever's disease) and tibial tuberosity (Osgood-Schlatter's disease) apophysitis. Study 2 tested the sensitivity and specificity of these developed tools with parents and children (n = 63) with concurrent clinical examination by a health professional. An initial sample size for Study 2 was set at 155 children however this was impacted by COVID-19 and recruitment was halted.
Results: Both tools had excellent diagnostic accuracy with an area under the curve of 83% (95% confidence interval = 0.70 to 0.95) for the posterior heel (calcaneal apophysitis) tool and 93% (95% confidence interval = 0.80 to 1.00) for the anterior of knee (tibial tuberosity apophysitis) tool using the pilot data from the 63 children.
Conclusions: These tools may also enhance opportunities for clinicians and health service providers with pre-clinical screening to reduce wait list time and encourage low cost, self-administered management where indicated. These findings may enable large epidemiological studies to identify populations and calculate incidence and prevalence of these conditions using self report.
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