Clinical Prediction Algorithm for Septic Arthritis



Clinical Prediction Algorithm for Septic Arthritis


Matthew G. Gartland

Chadi M. El Saleeby





Background

With delay in diagnosis, septic arthritis (SA) in children may be complicated by joint restriction, bone necrosis, and pathologic fractures. Early diagnosis, however, remains a challenge as there are many benign mimicking conditions. This study sought to establish a simple algorithm to distinguish between 2 common but therapeutically disparate pathologies: SA and transient synovitis (TS).


Objectives

To develop an evidence-based clinical algorithm to differentiate between SA and TS of the hip in ambulatory children.


Methods

Retrospective cohort study in a single US center from 1979 to 1996.


Patients

168 children (mean age 5.6 years) with acute hip pain presenting to the emergency department. Select exclusion criteria: underlying immunocompromise, rheumatologic disease, adjacent osteomyelitis, fracture or other anatomical abnormalities on x-ray, or no CBC or adequate joint fluid evaluation performed.


Intervention

General demographic and clinical data were extracted from medical records: fever, recent infection and antibiotic use, weight-bearing status, erythrocyte sedimentation rate (ESR), serum white blood cell count (WBC), and radiographic findings.

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Jun 19, 2016 | Posted by in PEDIATRICS | Comments Off on Clinical Prediction Algorithm for Septic Arthritis

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