Literature DB >> 20619748

The prognosis of chronic low back pain is determined by changes in pain and disability in the initial period.

Martijn W Heymans1, Stef van Buuren, Dirk L Knol, Johannes R Anema, Willem van Mechelen, Henrica C W de Vet.   

Abstract

BACKGROUND CONTEXT: The recovery of patients with chronic low back pain (LBP) is slow. Furthermore, it is recently proposed that chronic LBP needs a prognostic approach to determine who will develop clinically significant back pain. Therefore, it is imperative to identify prognostic factors that are mostly seen in chronic LBP patients at an early stage. This may give clinicians tailored advice to prevent chronicity or may refer to a specific intervention.
PURPOSE: To investigate the contribution of demographic, work, clinical, and psychosocial variables, including new prognostic variables as changes in pain intensity and disability status, on the development of chronic LBP. STUDY DESIGN/
SETTING: Prospective cohort data by merging data from three randomized trials (secondary analyses). PATIENT SAMPLE: Workers (n=628) on sick leave because of subacute nonspecific LBP. OUTCOME MEASURES: Chronic LBP for longer than 6 months (functional measure).
METHODS: Potential prognostic variables were demographic, work, clinical, and psychosocial characteristics (self-report measures). We also included as prognostic variables a clinically relevant change in pain intensity and disability status. For the selection of variables and prognostic models, bootstrapping techniques were used in combination with multivariable logistic regression. The explained variance and discrimination were used to evaluate the clinical performance of the models.
RESULTS: The variables most strongly related to chronic LBP were as follows: no clinically relevant change in pain intensity and in disability status in the first 3 months, a higher pain intensity score at baseline, and a higher score for kinesiophobia. This prognostic model had a bootstrap-corrected explained variance of 37% and a discriminative ability (c index) of 0.80.
CONCLUSIONS: Clinical-, work-, and psychosocial-related variables contribute to the development of chronic LBP. The most promising variables are a clinically relevant decrease in pain intensity and in disability status in the first 3 months. These variables are relevant for clinicians to advise their patients with respect to preventive measures or treatment strategies.
Copyright © 2010 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20619748     DOI: 10.1016/j.spinee.2010.06.005

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


  13 in total

1.  Initial pain and disability characteristics can assist the prediction of the centralization phenomenon on initial assessment of patients with low back pain.

Authors:  Alon Rabin; Yaniv Shmushkevich; Leonid Kalichman
Journal:  J Man Manip Ther       Date:  2018-11-05

2.  The Added Value of Collecting Information on Pain Experience When Predicting Time on Benefits for Injured Workers with Back Pain.

Authors:  Ivan A Steenstra; Renée-Louise Franche; Andrea D Furlan; Ben Amick; Sheilah Hogg-Johnson
Journal:  J Occup Rehabil       Date:  2016-06

3.  Sex differences in the change in health-related quality of life associated with low back pain.

Authors:  Rei Ono; Takahiro Higashi; Osamu Takahashi; Yasuharu Tokuda; Takuro Shimbo; Hiroyoshi Endo; Shigeaki Hinohara; Tsuguya Fukui; Shunichi Fukuhara
Journal:  Qual Life Res       Date:  2011-12-20       Impact factor: 4.147

4.  Comparison of Low Back Pain Recovery and Persistence: A Descriptive Study of Characteristics at Pain Onset.

Authors:  Angela R Starkweather; Debra E Lyon; Patricia Kinser; Amy Heineman; Jamie L Sturgill; Xiaoyan Deng; Umaporn Siangphoe; R K Elswick; Joel Greenspan; Susan G Dorsey
Journal:  Biol Res Nurs       Date:  2016-02-16       Impact factor: 2.522

5.  Neuromuscular exercise and back counselling for female nursing personnel with recurrent non-specific low back pain: study protocol of a randomised controlled trial (NURSE-RCT).

Authors:  Jaana H Suni; Marjo Rinne; Markku Kankaanpää; Annika Taulaniemi; Sirpa Lusa; Harri Lindholm; Jari Parkkari
Journal:  BMJ Open Sport Exerc Med       Date:  2016-03-03

6.  Kinesiophobia is not required to predict chronic low back pain in workers: a decision curve analysis.

Authors:  A M Panken; J B Staal; M W Heymans
Journal:  BMC Musculoskelet Disord       Date:  2020-03-12       Impact factor: 2.362

7.  The use of risk sharing tools for post adoption surveillance of a non pharmacological technology in routine practice: results after one year.

Authors:  Carlos Campillo-Artero; Francisco M Kovacs
Journal:  BMC Health Serv Res       Date:  2013-05-20       Impact factor: 2.655

8.  Predicting time on prolonged benefits for injured workers with acute back pain.

Authors:  Ivan A Steenstra; Jason W Busse; David Tolusso; Arold Davilmar; Hyunmi Lee; Andrea D Furlan; Ben Amick; Sheilah Hogg-Johnson
Journal:  J Occup Rehabil       Date:  2015-06

9.  Psychometric validation of the Serbian version of the Fear Avoidance Component Scale (FACS).

Authors:  Aleksandar Knezevic; Randy Neblett; Robert J Gatchel; Milica Jeremic-Knezevic; Vojislava Bugarski-Ignjatovic; Snezana Tomasevic-Todorovic; Ksenija Boskovic; Antonio I Cuesta-Vargas
Journal:  PLoS One       Date:  2018-09-24       Impact factor: 3.240

10.  Knowledge, attitudes and beliefs on contributing factors among low back pain patients attending outpatient physiotherapy treatment in Malawi.

Authors:  Nesto Tarimo; Ina Diener
Journal:  S Afr J Physiother       Date:  2017-10-31
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.