Derivation of a clinical decision guide in the diagnosis of cervical facet joint pain.

Published

Journal Article

OBJECTIVE: To derive a clinical decision guide (CDG) to identify patients best suited for cervical diagnostic facet joint blocks. DESIGN: Prospective cohort study. SETTING: Pain management center. PARTICIPANTS: Consecutive patients with neck pain (N=125) referred to an interventional pain management center were approached to participate. INTERVENTIONS: Subjects underwent a standardized testing protocol, performed by a physiotherapist, prior to receiving diagnostic facet joint blocks. All subjects received the reference standard diagnostic facet joint block protocol, namely controlled medial branch blocks (MBBs). The physicians performing the MBBs were blinded to the local anesthetic used and findings of the clinical tests. MAIN OUTCOME MEASURES: Multivariate regression analyses were performed in the derivation of the CDGs. Sensitivity, specificity, positive and negative likelihood ratios, and 95% confidence intervals (CIs) were calculated for the index tests and CDGs. RESULTS: A CDG involving the findings of the manual spinal examination (MSE), palpation for segmental tenderness (PST), and extension-rotation (ER) test demonstrated a specificity of 84% (95% CI, 77-90) and a positive likelihood ratio of 4.94 (95% CI, 2.8-8.2). Sensitivity of the PST and MSE were 94% (95% CI, 90-98) and 92% (95% CI, 88-97), respectively. Negative findings on the PST were associated with a negative likelihood ratio of .08 (95% CI, .03-.24). CONCLUSIONS: MSE, PST, and ER may be useful tests in identifying patients suitable for diagnostic facet joint blocks. Further research is needed to validate the CDGs prior to their routine use in clinical practice.

Full Text

Duke Authors

Cited Authors

  • Schneider, GM; Jull, G; Thomas, K; Smith, A; Emery, C; Faris, P; Cook, C; Frizzell, B; Salo, P

Published Date

  • September 2014

Published In

Volume / Issue

  • 95 / 9

Start / End Page

  • 1695 - 1701

PubMed ID

  • 24662813

Pubmed Central ID

  • 24662813

Electronic International Standard Serial Number (EISSN)

  • 1532-821X

Digital Object Identifier (DOI)

  • 10.1016/j.apmr.2014.02.026

Language

  • eng

Conference Location

  • United States