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Master of Public Health

A Clinical Prediction Algorithm to Stratify Pediatric Musculoskeletal Infection by Severity.

AUTHORS

Benvenuti MA , An TJ , Mignemi ME , Martus JE , Mencio GA , Lovejoy SA , Thomsen IP , Schoenecker JG , Williams DJ , . Journal of pediatric orthopedics. 2016 9 27; ().

ABSTRACT

There are currently no algorithms for early stratification of pediatric musculoskeletal infection (MSKI) severity that are applicable to all types of tissue involvement. In this study, the authors sought to develop a clinical prediction algorithm that accurately stratifies infection severity based on clinical and laboratory data at presentation to the emergency department.

There are currently no algorithms for early stratification of pediatric musculoskeletal infection (MSKI) severity that are applicable to all types of tissue involvement. In this study, the authors sought to develop a clinical prediction algorithm that accurately stratifies infection severity based on clinical and laboratory data at presentation to the emergency department.

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