Clinical identifiers for detecting underlying closed cervical fractures.

Published

Journal Article

BACKGROUND: Although uncommon, closed cervical fractures (CCFs) may present in orthopedic clinical settings despite previous workup. The objective of this study was to describe the characteristics associated with missed CCF. METHODS: The study was a retrospective database exploration of a cohort of subjects within a department of surgery with cervical pain. The sample consisted of 162 patients seen for a surgical consult for a number of cervical conditions. The examination time frame represented a clinical examination and imaging confirmation of diagnosis after an original initial visit by another provider. Descriptive and diagnostic accuracy values including sensitivity/specificity and positive/negative likelihood ratios (LR+/LR-) were calculated for each targeted variable. Clustered analyses were calculated using the patient history and situational characteristics. RESULTS: Eleven patients in the sample were diagnosed with CCF (6.7%). Six variables were significantly associated with a missed CCF. Using these six variables, it was found that failure to exhibit a condition of 2 of the 6 variables (1 or fewer) was the strongest in ruling out the condition (LR- = 0.0; post-test probability with a negative finding = 0%), whereas a finding of 4 of 6 was the most diagnostic for ruling in the condition (LR+ = 32; post-test probability with a positive finding = 70%). CONCLUSIONS: The findings in this sample suggest that select patient history or situational factors are still useful even after initial examination and clinicians must stay vigilant because CCFs may be missed during emergent care screens.

Full Text

Duke Authors

Cited Authors

  • Cook, CE; Sizer, PS; Isaacs, RE; Wright, A

Published Date

  • February 2014

Published In

Volume / Issue

  • 14 / 2

Start / End Page

  • 109 - 116

PubMed ID

  • 23611576

Pubmed Central ID

  • 23611576

Electronic International Standard Serial Number (EISSN)

  • 1533-2500

Digital Object Identifier (DOI)

  • 10.1111/papr.12061

Language

  • eng

Conference Location

  • United States