Abstract

Study Design: Retrospective cohort review.

Objective: To assess whether immediate postoperative neck pain scores accurately predict 12-month visual analog scale-neck pain (VAS-NP) outcomes following Anterior Cervical Discectomy and Fusion surgery (ACDF).

Methods: This was a retrospective study of 82 patients undergoing elective ACDF surgery at a major academic medical center. Patient reported outcomes measures VAS-NP scores were recorded on the first postoperative day, then at 6-weeks, 3, 6, and 12-months after surgery. Multivariate correlation and logistic regression methods were utilized to determine whether immediate postoperative VAS-NP score accurately predicted 1-year patient reported VAS-NP Scores.

Results: Overall, 46.3% male, 25.6% were smokers, and the mean age and body mass index (BMI) were 53.7 years and 28.28 kg/m2, respectively. There were significant correlations between immediate postoperative pain scores and neck pain scores at 6 weeks VAS-NP (P = .0015), 6 months VAS-NP (P = .0333), and 12 months VAS-NP (P = .0247) after surgery. Furthermore, immediate postoperative pain score is an independent predictor of 6 weeks, 6 months, and 1 year VAS-NP scores.

Conclusion: Our study suggests that immediate postoperative patient reported neck pain scores accurately predicts and correlates with 12-month VAS-NP scores after an ACDF procedure. Patients with high neck pain scores after surgery are more likely to report persistent neck pain 12 months after index surgery.

Document Type

Article

Publication Date

5-1-2018

Notes/Citation Information

Published in Global Spine Journal, v. 8, issue 3, p. 231-236.

© The Author(s) 2017

This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (http://www.creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

Digital Object Identifier (DOI)

https://doi.org/10.1177/2192568217706700

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