Race as an Independent Predictor of Temporal Delay in Time to Diagnosis and Treatment in Patients with Cervical Stenosis: A Study of 133 Patients with Anterior Cervical Discectomy and Fusion.

Published

Journal Article

BACKGROUND: Prompt decompression in clinically significant cervical stenosis is important in the prevention of neurological sequelae. Disparities exist along the continuum on spine care, with black patients receiving less surgery and experiencing worse postoperative outcomes. The aim of this study was to assess whether black race was an independent predictor for a prolonged time to diagnosis and treatment. METHODS: The medical records of 133 patients undergoing elective anterior cervical discectomy and fusion surgery at a major academic medical center between 2010 and 2012 were reviewed. All patients had prospectively collected patient-reported outcomes measures including visual analogue scale (VAS) of pain. Data on patient demographics, comorbidities, and postoperative complication rates were retrospectively collected. Multivariate analysis was performed on variables that trended with delay in diagnosis and treatment on univariate analysis to determine independent predictors of delay in diagnosis and treatment. RESULTS: Patient demographics of the cohort included 45.87% male, 80.30% white, 71.97% married, 53.72% employed, 18.8% with a history of depression, and 19.55% with anxiety. The mean ± standard deviation age was 54.02 ± 11.74 years and baseline VAS-neck pain was 4.87 ± 3.19. In a multivariate analysis, race was the only statistically significant variable (P = 0.0212) to predict increased duration of preoperative pain before treatment. Other variables in the model included depression, anxiety, age, gender, employment status, marital status, body mass index, and baseline VAS-neck pain score. CONCLUSIONS: Our study demonstrates that race is an independent risk factor for a temporal delay in diagnosis and treatment of symptomatic cervical stenosis.

Full Text

Duke Authors

Cited Authors

  • Elsamadicy, AA; Adogwa, O; Fialkoff, J; Mehta, AI; Vasquez, RA; Cheng, J; Bagley, CA; Karikari, IO

Published Date

  • December 2016

Published In

Volume / Issue

  • 96 /

Start / End Page

  • 107 - 110

PubMed ID

  • 27567581

Pubmed Central ID

  • 27567581

Electronic International Standard Serial Number (EISSN)

  • 1878-8769

Digital Object Identifier (DOI)

  • 10.1016/j.wneu.2016.08.070

Language

  • eng

Conference Location

  • United States