Common diagnoses among pediatric attendances at emergency departments
Abstract
BACKGROUND: Pediatric patients present to Emergency Departments (EDs) with a variety of medical conditions. An appreciation of the common presenting conditions can aid EDs in the provision of pediatric emergency care. In this study, we established the common pediatric diagnoses seen at the general EDs, with reference to a pediatric ED.
METHODS: A retrospective review of medical records was performed for patients less than 16 years old at a pediatric ED and two general EDs from 1 January to 31 December 2018. Information including patient demographics, triage category, case type and diagnoses were collected.
RESULTS: There were 159,040 pediatric attendances, of which 3477 (2.2%) were seen at the general EDs. Non-traumatic conditions were most prevalent at both general (N = 1933, 55.6%) and pediatric (N = 128,415, 82.5%) EDs. There was a higher proportion of trauma related conditions seen at the general EDs (N = 1544, 44.4%) compared to the pediatric ED (N = 27,148, 17.5%; p < 0.01). Across all EDs, upper respiratory tract infection, unspecified musculoskeletal pain and gastroenteritis were the three most common non-trauma related diagnoses, while fracture, wound and contusion were the three most common trauma related diagnoses. There was a greater proportion of emergent (P1) cases seen at the general EDs (N = 233, 6.7%) than the pediatric ED (N = 3821, 2.5%; p < 0.01). Respiratory conditions including bronchiolitis, asthma and bronchitis were the most common emergent (P1)…
How strong is the evidence?
Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 128,415 participants or records.
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.