Management of children presenting with low back pain to emergency department

Francesco Saverio Biagiarelli1, Simone Piga2, Antonino Reale3

  • 1Department of Pediatrics, Bambino Gesù Children's Hospital, IRCCS, Roma, Italy.

Insights

Identifying red flags in children with low back pain (LBP) is crucial for diagnosing serious conditions. This study highlights key indicators and proposes a diagnostic algorithm for pediatric emergency departments.

Area of Science:

  • Pediatric Emergency Medicine
  • Musculoskeletal Disorders
  • Diagnostic Algorithms

Background:

  • Low back pain (LBP) in children presenting to emergency departments (EDs) requires careful evaluation.
  • Understanding the characteristics, causes, and healthcare utilization patterns of pediatric LBP is essential for effective management.
  • Developing a structured diagnostic approach can improve patient outcomes.

Purpose of the Study:

  • To characterize pediatric patients with LBP in an ED setting.
  • To identify the causes (etiology) and healthcare use associated with pediatric LBP.
  • To develop a diagnostic algorithm for approaching pediatric LBP cases.

Main Methods:

  • A 7-year cohort study of children presenting to the ED with LBP.
  • Classification of LBP into visceral, traumatic, and non-visceral/non-traumatic categories.
  • Analysis of high-risk factors ('red flags') for severe prognosis conditions (SPCs) within the non-visceral/non-traumatic group.

Main Results:

  • The study included 266 children (52.6% female, median age 10.5 years); 30.3% were hospitalized.
  • Serious prognosis conditions (SPCs) were identified in 18.9% of the non-traumatic/non-visceral LBP group.
  • Red flags demonstrated high sensitivity (100%) and specificity (85%) for identifying SPCs, with SPCs having earlier onset and longer symptom duration.

Conclusions:

  • Significant red flags were identified, aiding in the differentiation of serious outcomes in pediatric LBP.
  • A diagnostic algorithm was developed based on study findings and existing literature.
  • Further prospective research is needed to validate the proposed diagnostic algorithm.
Abstract

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