Literature DB >> 16153772

A prognostic approach to defining chronic pain.

Michael Von Korff1, Diana L Miglioretti.   

Abstract

This paper develops a prognostic approach to defining chronic back pain. Possible and probable chronic back pain were defined, respectively, by a 50% and an 80% (or greater) probability of future clinically significant back pain. We assessed whether an empirically derived chronic pain classification satisfied these validating criteria among 1213 primary care back pain patients assessed at baseline and at 1, 2 and 5 year follow-ups. From multiple measures of back pain intensity and dysfunction, Latent Transition Regression Analysis empirically identified four pain severity latent classes: no pain; mild pain; moderate pain and limitation; and severe, limiting pain. From one observation point to the next, patients were most likely to remain in the same pain severity class, but chronic pain was better characterized as a dynamic state than a static trait. Among persons with severe, limiting pain, prognostic variables (depression, diffuse pain, pain persistence) improved prediction of future severe, limiting pain. A risk score developed from pain severity and prognostic measures identified risk levels corresponding to 50 and 80% probability thresholds for predicting future clinically significant back pain. At baseline and 1 year, 6.1 and 4.4% of study patients met or exceeded the 80% risk threshold for probable chronic back pain. An additional 20.3% at baseline and 12.5% at 1 year met or exceeded the 50% risk threshold for possible chronic back pain. Defining chronic pain prospectively, by risk thresholds for future clinically significant pain, provides an empirically grounded approach to chronic pain assessment.

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Mesh:

Year:  2005        PMID: 16153772     DOI: 10.1016/j.pain.2005.06.017

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   6.961


  45 in total

Review 1.  Pain assessment.

Authors:  Mathias Haefeli; Achim Elfering
Journal:  Eur Spine J       Date:  2005-12-01       Impact factor: 3.134

2.  Rehabilitation of injured workers with chronic pain: a stage of change phenomenon.

Authors:  Yan-Wen Xu; Chetwyn C H Chan; Chow S Lam; Cecilia W P Li-Tsang; Karen Y L Lo-Hui; Robert J Gatchel
Journal:  J Occup Rehabil       Date:  2007-10-23

3.  Directed attention alters the temporal activation patterns of back extensors during trunk flexion-extension in individuals with chronic low back pain.

Authors:  Heather L Butler; Christian Lariviere; Cheryl L Hubley-Kozey; Michael J L Sullivan
Journal:  Eur Spine J       Date:  2010-05-15       Impact factor: 3.134

4.  Report of the NIH Task Force on research standards for chronic low back pain.

Authors:  Richard A Deyo; Samuel F Dworkin; Dagmar Amtmann; Gunnar Andersson; David Borenstein; Eugene Carragee; John Carrino; Roger Chou; Karon Cook; Anthony Delitto; Christine Goertz; Partap Khalsa; John Loeser; Sean Mackey; James Panagis; James Rainville; Tor Tosteson; Dennis Turk; Michael Von Korff; Debra K Weiner
Journal:  Phys Ther       Date:  2015-02

5.  Report of the NIH Task Force on research standards for chronic low back pain.

Authors:  Richard A Deyo; Samuel F Dworkin; Dagmar Amtmann; Gunnar Andersson; David Borenstein; Eugene Carragee; John Carrino; Roger Chou; Karon Cook; Anthony DeLitto; Christine Goertz; Partap Khalsa; John Loeser; Sean Mackey; James Panagis; James Rainville; Tor Tosteson; Dennis Turk; Michael Von Korff; Debra K Weiner
Journal:  J Pain       Date:  2014-04-29       Impact factor: 5.820

6.  The prognosis of acute low back pain in primary care in the United States: a 2-year prospective cohort study.

Authors:  Wolf E Mehling; Viranjini Gopisetty; Elizabeth Bartmess; Mike Acree; Alice Pressman; Harley Goldberg; Frederick M Hecht; Tim Carey; Andrew L Avins
Journal:  Spine (Phila Pa 1976)       Date:  2012-04-15       Impact factor: 3.468

Review 7.  [Musculoskeletal pain].

Authors:  H-R Casser; H-G Schaible
Journal:  Schmerz       Date:  2015-10       Impact factor: 1.107

8.  Locally dependent latent class models with covariates: an application to under-age drinking in the USA.

Authors:  Beth A Reboussin; Edward H Ip; Mark Wolfson
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2008-10       Impact factor: 2.483

9.  Extending conceptual frameworks: life course epidemiology for the study of back pain.

Authors:  Kate M Dunn
Journal:  BMC Musculoskelet Disord       Date:  2010-02-02       Impact factor: 2.362

10.  When knee pain becomes severe: a nested case-control analysis in community-dwelling older adults.

Authors:  George Peat; Elaine Thomas
Journal:  J Pain       Date:  2009-08       Impact factor: 5.820

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