Pediatric Orthopaedics Journal Scan

Related Articles

Independent Analysis of a Clinical Predictive Algorithm to Identify Methicillin-resistant Staphylococcus aureus Osteomyelitis in Children.

J Pediatr Orthop. 2013 Jul 17;

Authors: Wade Shrader M, Nowlin M, Segal LS

Abstract
BACKGROUND:: The number of serious, life-threatening musculoskeletal infections in children due to methicillin-resistant Staphylococcus aureus (MRSA) infections is increasing. The early identification of the bacteria causing osteomyelitis is critical to determine the appropriate antibiotic treatment. A recent study proposed a clinical algorithm to predict which infections were caused by MRSA by stratifying basic clinical values at the time of admission for children with osteomyelitis. The purpose of this study is to apply that predictive algorithm on an independent patient population to determine its wider applicability.
METHODS:: This was a retrospective chart review at a tertiary care children's hospital. All children who were treated for a culture-positive osteomyelitis were identified over a 3-year period. The previously reported predictors, determined by multivariate regression analysis, of MRSA infection (temperature >38°C, hematocrit <34%, white blood cell count >12,000/µL, and C-reactive protein >13 mg/L) were determined for each patient. The number of positive predictors was then correlated with the percentage of cases that were MRSA positive.