Physical Examination Tool for Swollen and Tender Lower Limb Joints in Juvenile Idiopathic Arthritis: A Pilot Diagnostic Accuracy Study
Antoni Fellas,
Davinder Singh-Grewal,
Jeffrey Chaitow,
Denise Warner,
Ella Onikul,
Derek Santos,
Matthew Clapham and
Andrea Coda
Additional contact information
Antoni Fellas: School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle 2308, Australia
Davinder Singh-Grewal: Sydney Children’s Hospital Westmead, Sydney 2145, Australia
Jeffrey Chaitow: Sydney Children’s Hospital Westmead, Sydney 2145, Australia
Denise Warner: Sydney Children’s Hospital Westmead, Sydney 2145, Australia
Ella Onikul: Sydney Children’s Hospital Westmead, Sydney 2145, Australia
Derek Santos: School of Health Sciences, Queen Margaret University, Edinburgh EH21 6UU, UK
Matthew Clapham: The Hunter Medical Research Institute, Newcastle 2305, Australia
Andrea Coda: School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle 2308, Australia
IJERPH, 2022, vol. 19, issue 8, 1-14
Abstract:
Background: Juvenile idiopathic arthritis (JIA) is the most common rheumatic disease in children, with lower limb involvement highly prevalent. Recent evidence has highlighted the lack of specific lower limb physical examination (PE) tools for clinicians assisting the paediatric rheumatology team in identifying lower extremity disease in patients with JIA. Early clinical detection may lead to more prompt and targeted interventions to reduce lower limb problems in children with JIA. The aim of this pilot study is to provide preliminary data on the diagnostic accuracy of a lower limb PE tool in JIA. Methods: Children with JIA requiring magnetic resonance imaging (MRI) on their lower limb joints per their usual care were eligible. Lower limb joint counts were conducted clinically by a podiatrist and paediatric rheumatologist using the proposed twenty joint per side, PE tool. The PE were compared to MRI assessments completed by two independent paediatric radiologists. Data were analysed using agreement (observed, positive and negative) and Cohen’s kappa with 95% CIs. Results: Fifteen participants were recruited into the study in which 600 lower limb joints were clinically examined. Statistical analysis showed excellent inter-rater reliability between podiatrist and paediatric rheumatologist for both joint swelling and tenderness. Results of the intra-rater reliability of the podiatrist using the PE tool indicated excellent percentage agreements (98.5–100%) and substantial kappa coefficients (0.93–1). The inter-rater reliability between radiological assessments contrasted the PE results, showing low agreement and poor reliability. Comparisons between PE and MRI resulted in poor kappa coefficients and low agreement percentages. The most agreeable joint between MRI and PE was the ankle joint, while the worst performing joint was the sub-talar joint. Conclusion: Results indicate potential clinical reliability; however, the validity and diagnostic accuracy of the proposed PE tool remains unclear due to low kappa coefficients and inconsistent agreements between PE and MRI results. Further research will be required before the tool may be used in a clinical setting.
Keywords: arthritis; juvenile; JIA; clinical examination; physical examination tool; magnetic resonance imaging; lower extremity; foot and ankle (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1660-4601/19/8/4517/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/8/4517/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:8:p:4517-:d:789921
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().