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Osteoperiostitis in children: proposal for a diagnostic algorithm.

Francesco Zulian1, Elena Marigo2, Francesca Ardenti-Morini3

  • 1Rheumatology Unit, Department of Woman's and Child's Health, University of Padova, Via Giustiniani 3, 35128, Padua, Italy. francescozulian58@gmail.com.

European Journal of Pediatrics
|April 8, 2021
PubMed
Summary
This summary is machine-generated.

This study developed a diagnostic algorithm for juvenile osteoperiostitis (JOP), differentiating acute osteomyelitis (AOM), chronic non-bacterial osteomyelitis (CNO), and Goldbloom syndrome (GS). The algorithm uses key clinical data for early and accurate JOP diagnosis.

Keywords:
Chronic non-bacterial osteomyelitisClassification treeDifferential diagnosisGoldbloom syndromeOsteomyelitisPeriostitis

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Area of Science:

  • Pediatric Rheumatology
  • Pediatric Orthopedics
  • Medical Diagnostics

Background:

  • Juvenile osteoperiostitis (JOP) encompasses inflammatory bone diseases like acute osteomyelitis (AOM), chronic non-bacterial osteomyelitis (CNO), and Goldbloom syndrome (GS).
  • Accurate differential diagnosis of JOP is challenging due to overlapping clinical and laboratory features.

Purpose of the Study:

  • To develop a diagnostic algorithm for early and accurate identification of JOP subtypes.
  • To create a decision-making tool based on readily available clinical data.

Main Methods:

  • Retrospective review of clinical records for 92 patients with AOM, CNO, and GS.
  • Literature search to identify an additional 12 Goldbloom syndrome cases.
  • Classification tree modeling (CTREE) to identify significant differentiating variables.

Main Results:

  • Nine variables (including age, fever, symmetry, ESR, CRP) were significant in differentiating JOP subtypes.
  • A diagnostic algorithm using symmetry, fever, and age at onset achieved 85.9% accuracy.
  • The algorithm effectively discriminated between AOM, CNO, and GS.

Conclusions:

  • A novel diagnostic algorithm for JOP has been developed using simple clinical data.
  • This algorithm aids in the prompt and appropriate diagnosis of juvenile osteoperiostitis.
  • Early diagnosis of JOP subtypes can lead to timely and effective patient management.