Serious diagnoses at revisits in children discharged from the emergency department with back pain.

BACKGROUND

Back pain is often benign but can be a harbinger for serious pathology. Little is known about the outcome in children with back pain but no serious diagnoses detected at the initial visit. We sought to estimate the rate of serious diagnoses at revisits among children initially discharged from the emergency department (ED) with back pain.

METHODS

We performed a multicenter retrospective cohort study of patients from 45 pediatric hospitals in the Pediatric Health Information System database from October 1, 2015, to March 31, 2019. We included patients discharged from the ED with a principal diagnosis of back pain and excluded patients with trauma and concurrent or previously known serious diagnoses. We identified the rates and types of serious diagnoses made within 30 days of the index visit. We examined the rates of diagnostic tests at the index visit in patients with and without serious diagnoses.

RESULTS

Of the 25,130 patients with back pain, 88 (0.4%, 95% confidence interval = 0.3% to 0.4%) had serious pathology diagnosed within 30 days. The most common diagnoses were anatomic (40%) and nonneurologic (39%) categories such as vertebral fracture and nephrolithiasis; infectious (19%) and neoplastic etiologies (3%) were less common. Diagnoses requiring acute interventions such as cauda equina syndrome (n = 2) and intraspinal abscess (n = 3) were rare. Patients with serious diagnoses at revisits underwent more blood tests and back ultrasound at the index visit compared to patients without serious diagnoses.

CONCLUSIONS

In pediatric patients discharged from the ED with a diagnosis of back pain and no serious or trauma diagnoses, there is a low rate of serious pathology on revisits. Of the serious diagnoses identified, high-acuity diseases were rare. For the subset of patients with clinical suspicion for serious pathology but none identified at the index visit, this represents an opportunity for further research to optimize their management.