Literature DB >> 31256070

Chronic low back pain is highly individualised: patterns of classification across three unidimensional subgrouping analyses.

Martin Rabey1, Anne Smith1, Peter Kent1, Darren Beales1, Helen Slater1, Peter O'Sullivan1.   

Abstract

BACKGROUND AND AIMS: Chronic low back pain (CLBP) is a complex disorder where central and peripheral nociceptive processes are influenced by factors from multiple dimensions associated with CLBP (e.g. movement, pain sensitivity, psychological). To date, outcomes for treatments matched to unidimensional subgroups (e.g. psychologically-based) have been poor. Therefore, unidimensional subgrouping may not reflect the complexity of CLBP presentations at an individual level. The aim of this study was therefore to explore patterns of classification at an individual level across the three previously-published, data-driven, within-dimension subgrouping studies.
METHODS: Cross-sectional, multidimensional data was collected in 294 people with CLBP. Statistical derivation of subgroups within each of three clinically-important dimensions (pain sensitivity, psychological profile, pain responses following repeated spinal bending) was briefly reviewed. Patterns of classification membership were subsequently tabulated across the three dimensions.
RESULTS: Of 27 possible patterns across these dimensions, 26 were represented across the cohort.
CONCLUSIONS: This result highlights that while unidimensional subgrouping has been thought useful to guide treatment, it is unlikely to capture the full complexity of CLBP. The amount of complexity important for best patient outcomes is currently untested. IMPLICATIONS: For clinicians this study highlights the high variability of presentations of people with CLBP at the level of the individual. For example, clinician's should not assume that those with high levels of pain sensitivity will also have high psychological distress and have pain summation following repeated spinal bending. A more flexible, multidimensional, clinically-reasoned approach to profile patient complexity may be required to inform individualised, patient-centred care. Such individualised care might improve treatment efficacy. This study also has implications for researchers; highlighting the inadequacy of unidimensional subgrouping processes and methodological difficulties in deriving subgroups across multidimensional data. ©2019 Scandinavian Association for the Study of Pain. Published by Walter de Gruyter GmbH, Berlin/Boston. All rights reserved.

Entities:  

Keywords:  biopsychosocial; low back pain; movement; pain sensitivity; subgrouping

Year:  2019        PMID: 31256070     DOI: 10.1515/sjpain-2019-0073

Source DB:  PubMed          Journal:  Scand J Pain        ISSN: 1877-8860


  7 in total

1.  Significant other interactions in people with chronic low back pain: Subgrouping and multidimensional profiles.

Authors:  Martin Rabey; Brendan Buldo; Magnus Duesund Helland; Courtenay Pang; Michelle Kendell; Darren Beales
Journal:  Br J Pain       Date:  2021-12-27

Review 2.  Back pain treatment: a new perspective.

Authors:  Anke Steinmetz
Journal:  Ther Adv Musculoskelet Dis       Date:  2022-07-04       Impact factor: 3.625

3.  Development and content validity of a rating scale for the pain and disability drivers management model.

Authors:  Florian Naye; Simon Décary; Yannick Tousignant-Laflamme
Journal:  Arch Physiother       Date:  2022-05-16

Review 4.  Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews.

Authors:  Scott D Tagliaferri; Maia Angelova; Xiaohui Zhao; Patrick J Owen; Clint T Miller; Tim Wilkin; Daniel L Belavy
Journal:  NPJ Digit Med       Date:  2020-07-09

5.  Endurance and avoidance response patterns in pain patients: Application of action control theory in pain research.

Authors:  Jana Buchmann; Nicola Baumann; Karin Meng; Jana Semrau; Julius Kuhl; Klaus Pfeifer; Miguel Kazén; Heiner Vogel; Hermann Faller
Journal:  PLoS One       Date:  2021-03-25       Impact factor: 3.240

6.  Profiling and Association over Time between Disability and Pain Features in Patients with Chronic Nonspecific Neck Pain: A Longitudinal Study.

Authors:  Gorka Ortego; Enrique Lluch; Pablo Herrero; Shellie Ann Boudreau; Victor Doménech-García
Journal:  J Clin Med       Date:  2022-02-28       Impact factor: 4.241

7.  Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning.

Authors:  Scott D Tagliaferri; Tim Wilkin; Maia Angelova; Bernadette M Fitzgibbon; Patrick J Owen; Clint T Miller; Daniel L Belavy
Journal:  Sci Rep       Date:  2022-09-07       Impact factor: 4.996

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.