Literature DB >> 26981055

Older Age and Leg Pain Are Good Predictors of Pain and Disability Outcomes in 2710 Patients Who Receive Lumbar Fusion.

Chad E Cook1, Anthony K Frempong-Boadu2, Kristen Radcliff3, Isaac Karikari4, Robert Isaacs4.   

Abstract

BACKGROUND: Identifying appropriate candidates for lumbar spine fusion is a challenging and controversial topic. The purpose of this study was to identify baseline characteristics related to poor/favorable outcomes at 1 year for a patient who received lumbar spine fusion. QUESTIONS/PURPOSES: The aims of this study were to describe baseline characteristics of those who received lumbar surgery and to identify baseline characteristics from a spine repository that were related to poor and favorable pain and disability outcomes for patient who received lumbar fusion (with or without decompression), who were followed up for 1 full year and discriminate predictor variables that were either or in contrast to prognostic variables reported in the literature.
METHODS: This study analyzed data from 2710 patients who underwent lumbar spine fusion. All patient data was part of a multicenter, multi-national spine repository. Ten relatively commonly captured data variables were used as predictors for the study. Univariate/multivariate logistic regression analyses were run against outcome variables of pain/disability.
RESULTS: Multiple univariate findings were associated with pain/disability outcomes at 1 year including age, previous surgical history, baseline disability, baseline pain, baseline quality of life scores, and leg pain greater than back pain. Notably significant multivariate findings for both pain and disability include older age, previous surgical history, and baseline mental summary scores, disability, and pain.
CONCLUSION: Leg pain greater than back pain and older age may yield promising value when predicting positive outcomes. Other significant findings may yield less value since these findings are similar to those that are considered to be prognostic regardless of intervention type.

Entities:  

Keywords:  fusion; low back pain; prognosis; surgery

Year:  2015        PMID: 26981055      PMCID: PMC4773696          DOI: 10.1007/s11420-015-9456-6

Source DB:  PubMed          Journal:  HSS J        ISSN: 1556-3316


  35 in total

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Authors:  J C Fairbank; P B Pynsent
Journal:  Spine (Phila Pa 1976)       Date:  2000-11-15       Impact factor: 3.468

2.  Presurgical biopsychosocial variables predict medical, compensation, and aggregate costs of lumbar discectomy in Utah workers' compensation patients.

Authors:  M Scott DeBerard; Anthony J Wheeler; Jessica M Gundy; David M Stein; Alan L Colledge
Journal:  Spine J       Date:  2011-04-22       Impact factor: 4.166

3.  Guidelines for the performance of fusion procedures for degenerative disease of the lumbar spine. Part 7: intractable low-back pain without stenosis or spondylolisthesis.

Authors:  Daniel K Resnick; Tanvir F Choudhri; Andrew T Dailey; Michael W Groff; Larry Khoo; Paul G Matz; Praveen Mummaneni; William C Watters; Jeffrey Wang; Beverly C Walters; Mark N Hadley
Journal:  J Neurosurg Spine       Date:  2005-06

Review 4.  Evaluating the correlation and responsiveness of patient-reported pain with function and quality-of-life outcomes after spine surgery.

Authors:  John DeVine; Daniel C Norvell; Erika Ecker; Daryl R Fourney; Alex Vaccaro; Jeff Wang; Gunnar Andersson
Journal:  Spine (Phila Pa 1976)       Date:  2011-10-01       Impact factor: 3.468

Review 5.  Predicting back pain treatment outcomes among workers' compensation patients: important information for clinical neuropsychologists.

Authors:  Anthony J Wheeler; Amie L Smith; Jessica M Gundy; Todd Sautter; M Scott DeBerard
Journal:  Clin Neuropsychol       Date:  2012-12-10       Impact factor: 3.535

6.  Interpretation of subgroup effects in published trials.

Authors:  Mark J Hancock; Per Kjaer; Lars Korsholm; Peter Kent
Journal:  Phys Ther       Date:  2013-02-21

Review 7.  Dangers of using "optimal" cutpoints in the evaluation of prognostic factors.

Authors:  D G Altman; B Lausen; W Sauerbrei; M Schumacher
Journal:  J Natl Cancer Inst       Date:  1994-06-01       Impact factor: 13.506

8.  Inclusion of dynamic clinical data improves the predictive performance of a 30-day readmission risk model in kidney transplantation.

Authors:  David J Taber; Arun P Palanisamy; Titte R Srinivas; Mulugeta Gebregziabher; John Odeghe; Kenneth D Chavin; Leonard E Egede; Prabhakar K Baliga
Journal:  Transplantation       Date:  2015-02       Impact factor: 4.939

9.  Decision making in surgical treatment of chronic low back pain: the performance of prognostic tests to select patients for lumbar spinal fusion.

Authors:  Paul Willems
Journal:  Acta Orthop Suppl       Date:  2013-02

10.  The effect of obesity on clinical outcomes after lumbar fusion.

Authors:  Mladen Djurasovic; Kelly R Bratcher; Steven D Glassman; John R Dimar; Leah Y Carreon
Journal:  Spine (Phila Pa 1976)       Date:  2008-07-15       Impact factor: 3.468

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  3 in total

1.  Improvements in Back and Leg Pain After Minimally Invasive Lumbar Decompression.

Authors:  Dustin H Massel; Benjamin C Mayo; Dil V Patel; Daniel D Bohl; Philip K Louie; Gregory D Lopez; Kern Singh
Journal:  HSS J       Date:  2019-02-22

2.  Assessment of Functional Outcome Predictors in Patients Undergoing Lumbar Interbody Fusion Surgery: A Single-Centre Analysis.

Authors:  Renata Marques; Sara Gomes; João Nogueira; Miguel Afonso; Nubélio Duarte
Journal:  Cureus       Date:  2022-03-27

3.  Influence of perioperative complication severity on 1- and 2-year outcomes of low back surgery.

Authors:  James Grainger; Thomas Hammett; Robert Isaacs; Chad Cook
Journal:  J Orthop Traumatol       Date:  2016-11-22
  3 in total

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