Pediatric back pain-Diagnostic algorithm.

Abstract

Back pain in the pediatric population is common. History and athorough physical examination and asystematic work-up approach are key components to guide the physician in evaluating the possible causes of pain and providing appropriate treatment. The main aim of this review was to develop an algorithmic approach to assist physicians in the assessment of pediatric back pain. Acomprehensive review of prevalence, differential diagnoses and proper management of pediatric back pain are also presented. An extensive literature search was performed in PubMed to gather articles on the prevalence, risk factors, diagnostic tools, differential diagnoses and appropriate management of pediatric back pain. Available literature revealed that pediatric back pain is acommon complaint. Although most cases are non-specific and self-limiting, there is awide differential that should be considered including inflammatory, neoplastic, infectious and mechanical causes. Sedentary lifestyle, obesity and vigorous physical activity have been shown to increase the likelihood of developing back pain. We proposed an algorithm to guide the physician's decision about the next step in the diagnostic process. Awell-defined strategy in the diagnostic process is needed in approaching children/adolescents with back pain. This would have the benefit of minimizing costs, unnecessary tests and child/family anxiety as well as increasing the likelihood of early diagnosis and proper treatment.