Literature DB >> 20421073

The predictive value of pain drawings in lumbar spinal fusion surgery.

Thomas Andersen1, Finn B Christensen, Kristian W Høy, Peter Helmig, Bent Niedermann, Ebbe S Hansen, Cody Bünger.   

Abstract

BACKGROUND CONTEXT: Pain drawings have been used extensively in spine surgery. It has been associated with inferior outcome after disc and stenosis surgery. Results regarding the predictive value in fusion surgery have been conflicting.
PURPOSE: To evaluate the predictive value of pain drawings in relation to outcome after lumbar spinal fusion. To investigate if there are differences between spondylolisthesis patients and patients with degenerative disease as well as between patients with or without radicular pain. STUDY
DESIGN: Prospective clinical cohort with a minimum of 1-year follow-up. PATIENT SAMPLE: One hundred thirty-five patients undergoing lumbar spinal fusion. Fifty-seven men and 78 women, mean age 44 years (range 21-59 years). OUTCOME MEASURES: Dallas Pain Questionnaire (DPQ), Low Back Pain Rating Scale (LBPRS) pain index and patient satisfaction. Minimal clinical important difference was defined for the LBPRS score.
METHODS: Pain drawings were classified, using the visual inspection method, as organic or nonorganic and correlated to outcomes. Multivariate adjustment for several possible confounding variables was done using logistic regression analysis.
RESULTS: Thirty-three percent of the drawings were classified as nonorganic. Nonorganic drawings were associated with significantly higher DPQ and LBPRS scores preoperatively and at follow-up. Differences between organic and nonorganic drawings were larger in spondylolisthesis patients than in patients with degenerative disorders. Nonorganic pain drawings were associated with poorer outcome in patients with low back pain and radicular symptoms, however, not in patients without radicular symptoms. A nonorganic pain drawing predicted negative patient satisfaction with odds ratio (OR) 3.01 (95% confidence interval (CI): 1.14-8.55, p=.027) but had no significant predictive value with respect to improvement in the LBPRS pain index OR 1.92 (95% CI: 0.82-4.47, p=.132).
CONCLUSIONS: A nonorganic pain drawing was a significant risk factor for inferior outcome after spinal fusion surgery. The predictive value did not allow for patient selection. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20421073     DOI: 10.1016/j.spinee.2010.02.002

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  8 in total

1.  Localizing value of pain distribution patterns in cervical spondylosis.

Authors:  Krishnapundha Bunyaratavej; Peerapong Montriwiwatnchai; Rungsak Siwanuwatn; Surachai Khaoroptham
Journal:  Asian Spine J       Date:  2015-04-15

2.  Colored Pain Drawing as a Clinical Tool in Differentiating Neuropathic Pain from Non-Neuropathic Pain.

Authors:  Nalini Sehgal; Debra B Gordon; Scott Hetzel; Miroslav Misha Backonja
Journal:  Pain Med       Date:  2021-03-18       Impact factor: 3.750

3.  Baseline musculoskeletal pain and impaired sleep related to school pressure influence the development of musculoskeletal pain in N = 107 adolescents in a 5-year longitudinal study.

Authors:  C Rolli Salathé; W Kälin; S Zilse; A Elfering
Journal:  Eur Spine J       Date:  2019-11-21       Impact factor: 3.134

4.  Anxiety and depression affect pain drawings in cervical degenerative disc disease.

Authors:  Anna MacDowall; Yohan Robinson; Martin Skeppholm; Claes Olerud
Journal:  Ups J Med Sci       Date:  2017-05-15       Impact factor: 2.384

5.  Predictive factors for residual leg numbness after decompression surgery for lumbar degenerative diseases.

Authors:  Tao Zou; Hao Chen; Ping-Chuan Wang; Hui-Hui Sun; Xin-Min Feng
Journal:  BMC Musculoskelet Disord       Date:  2022-10-13       Impact factor: 2.562

6.  Attitudes of patients toward adoption of 3D technology in pain assessment: qualitative perspective.

Authors:  Fotios Spyridonis; Gheorghita Ghinea; Andrew O Frank
Journal:  J Med Internet Res       Date:  2013-04-10       Impact factor: 5.428

7.  The accuracy of pain drawing in identifying psychological distress in low back pain-systematic review and meta-analysis of diagnostic studies.

Authors:  Lucia Bertozzi; Anna Rosso; Antonio Romeo; Jorge Hugo Villafañe; Andrew A Guccione; Paolo Pillastrini; Carla Vanti
Journal:  J Phys Ther Sci       Date:  2015-10-30

8.  Novel Software for Pain Drawing Analysis.

Authors:  Asimakis K Kanellopoulos; Emmanouil K Kanellopoulos; Zacharias Dimitriadis; Nikolaos S Strimpakos; Andriana Koufogianni; Anthi A Kellari; Ioannis A Poulis
Journal:  Cureus       Date:  2021-12-14
  8 in total

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