Management of children presenting with low back pain to emergency department

Am J Emerg Med. 2019 Apr;37(4):672-679. doi: 10.1016/j.ajem.2018.07.012. Epub 2018 Jul 21.

Abstract

Objective: We aimed to describe characteristics, etiology and health care use in children with low back pain (LBP) presenting to pediatric emergency department (ED) and to develop an algorithm to design a diagnostic approach.

Methods: We conducted a 7-year cohort study of children admitted to ED with a primary complaint of LBP. They were classified into diagnostic groups: visceral LBP; traumatic LBP; non-visceral/non-traumatic LBP. To identify high-risk factors (red flags) associated with severe prognosis conditions (SPCs), we analyzed the non-visceral/non-traumatic group comparing the SPC children with those children without SPCs.

Results: Our population comprised 140 females (52.6%) and 126 males (47.4%), with a median age of 10.5 years. Eighty children (30.3%) were hospitalized, with an average length of stay of 8.53 ± 9.84 days. SPCs accounted for 28 patients (18.9%) of overall 148 with non-traumatic/non-visceral LBP. In this group, SPCs presented with earlier onset and longer duration of symptoms than non-SPCs. The presence of red flags was more significant in the SPCs group, 28 vs 18; 100% vs 15% (p < 0.001); sensitivity 100%, specificity 85%. Among SPCs, 78.6% were hospitalized vs non-SPC (16.8%) (p < 0.001); within SPC group 2 patients returned because of onset of red flags.

Conclusion: Our study identified significative high-risk factors (red flags) associated with serious outcomes (SPC group) compared to the non-SPC group, thereby ensuring specific treatment. We developed an algorithm based on previous literature and the findings of our study, which will need to be validated by future prospective research.

Keywords: Children; Emergency; Low back pain; Prognosis; Red flags.

MeSH terms

  • Adolescent
  • Algorithms
  • Child
  • Cohort Studies
  • Emergency Service, Hospital*
  • Female
  • Humans
  • Length of Stay / statistics & numerical data
  • Low Back Pain / diagnosis*
  • Low Back Pain / etiology*
  • Male
  • Pain Management*
  • Sensitivity and Specificity