Literature DB >> 20011715

Does classification of persons with fibromyalgia into Multidimensional Pain Inventory subgroups detect differences in outcome after a standard chronic pain management program?

M L Verra1, F Angst, R Brioschi, S Lehmann, F J Keefe, J Bart Staal, R A de Bie, A Aeschlimann.   

Abstract

INTRODUCTION: The present study aimed to replicate and validate the empirically derived subgroup classification based on the Multidimensional Pain Inventory (MPI) in a sample of highly disabled fibromyalgia (FM) patients. Second, it examined how the identified subgroups differed in their response to an intensive, interdisciplinary inpatient pain management program.
METHODS: Participants were 118 persons with FM who experienced persistent pain and were disabled. Subgroup classification was conducted by cluster analysis using MPI subscale scores at entry to the program. At program entry and discharge, participants completed the MPI, Medical Outcomes Study Short Form-36, Hospital Anxiety and Depression Scale and Coping Strategies Questionnaire.
RESULTS: Cluster analysis identified three subgroups in the highly disabled sample that were similar to those described by other studies using less disabled samples of FM. The dysfunctional subgroup (DYS; 36% of the sample) showed the highest level of depression, the interpersonally distressed subgroup (ID; 24%) showed a modest level of depression and the adaptive copers subgroup (AC; 38%) showed the lowest depression scores in the MPI (negative mood), Medical Outcomes Study Short Form-36 (mental health), Hospital Anxiety and Depression Scale (depression) and Coping Strategies Questionnaire (catastrophizing). Significant differences in treatment outcome were observed among the three subgroups in terms of reduction of pain severity (as assessed using the MPI). The effect sizes were 1.42 for DYS, 1.32 for AC and 0.62 for ID (P=0.004 for pairwise comparison of ID-AC and P=0.018 for ID-DYS). DISCUSSION: These findings underscore the importance of assessing individuals' differences in how they adjust to FM.

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Year:  2009        PMID: 20011715      PMCID: PMC2807772          DOI: 10.1155/2009/137901

Source DB:  PubMed          Journal:  Pain Res Manag        ISSN: 1203-6765            Impact factor:   3.037


  45 in total

Review 1.  Active despite pain: the putative role of stop-rules and current mood.

Authors:  Johan W S Vlaeyen; Stephen Morley
Journal:  Pain       Date:  2004-08       Impact factor: 6.961

2.  Statistical significance versus clinical importance: trials on exercise therapy for chronic low back pain as example.

Authors:  Maurits van Tulder; Antti Malmivaara; Jill Hayden; Bart Koes
Journal:  Spine (Phila Pa 1976)       Date:  2007-07-15       Impact factor: 3.468

3.  Toward an empirically derived taxonomy of chronic pain patients: integration of psychological assessment data.

Authors:  D C Turk; T E Rudy
Journal:  J Consult Clin Psychol       Date:  1988-04

Review 4.  Multidisciplinary approaches for management of fibromyalgia.

Authors:  C S Burckhardt
Journal:  Curr Pharm Des       Date:  2006       Impact factor: 3.116

5.  Does it matter which exercise? A randomized control trial of exercise for low back pain.

Authors:  Audrey Long; Ron Donelson; Tak Fung
Journal:  Spine (Phila Pa 1976)       Date:  2004-12-01       Impact factor: 3.468

6.  Physical activity in daily life in patients with chronic low back pain.

Authors:  J A Verbunt; K R Westerterp; G J van der Heijden; H A Seelen; J W Vlaeyen; J A Knottnerus
Journal:  Arch Phys Med Rehabil       Date:  2001-06       Impact factor: 3.966

7.  Interdisciplinary rehabilitation in fibromyalgia and chronic back pain: a prospective outcome study.

Authors:  Felix Angst; Roberto Brioschi; Chris J Main; Susanne Lehmann; André Aeschlimann
Journal:  J Pain       Date:  2006-11       Impact factor: 5.820

8.  Differences in outcome of a multidisciplinary treatment between subgroups of chronic low back pain patients defined using two multiaxial assessment instruments: the multidimensional pain inventory and lumbar dynamometry.

Authors:  Miriam M R Vollenbroek-Hutten; Hermie J Hermens; Danël Wever; Michiel Gorter; Joost Rinket; Maarten J Ijzerman
Journal:  Clin Rehabil       Date:  2004-08       Impact factor: 3.477

9.  Effectiveness of an extension-oriented treatment approach in a subgroup of subjects with low back pain: a randomized clinical trial.

Authors:  David A Browder; John D Childs; Joshua A Cleland; Julie M Fritz
Journal:  Phys Ther       Date:  2007-09-25

10.  Disuse and physical deconditioning in the first year after the onset of back pain.

Authors:  Eric J Bousema; Jeanine A Verbunt; Henk A M Seelen; Johan W S Vlaeyen; André J Knottnerus
Journal:  Pain       Date:  2007-04-30       Impact factor: 6.961

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  15 in total

1.  Dietary aspects in fibromyalgia patients: results of a survey on food awareness, allergies, and nutritional supplementation.

Authors:  Laura-Isabel Arranz; Miguel-Ángel Canela; Magda Rafecas
Journal:  Rheumatol Int       Date:  2011-07-22       Impact factor: 2.631

2.  Pain and Fatigue Variability Patterns Distinguish Subgroups of Fibromyalgia Patients.

Authors:  Emily J Bartley; Michael E Robinson; Roland Staud
Journal:  J Pain       Date:  2017-12-15       Impact factor: 5.820

3.  Gene Expression Factor Analysis to Differentiate Pathways Linked to Fibromyalgia, Chronic Fatigue Syndrome, and Depression in a Diverse Patient Sample.

Authors:  Eli Iacob; Alan R Light; Gary W Donaldson; Akiko Okifuji; Ronald W Hughen; Andrea T White; Kathleen C Light
Journal:  Arthritis Care Res (Hoboken)       Date:  2016-01       Impact factor: 4.794

Review 4.  [Influence of depression on fibromyalgia : A systematic review].

Authors:  M Lange; F Petermann
Journal:  Schmerz       Date:  2010-08       Impact factor: 1.107

5.  Relationship between body mass index, fat mass and lean mass with SF-36 quality of life scores in a group of fibromyalgia patients.

Authors:  Laura Arranz; Miguel Angel Canela; Magda Rafecas
Journal:  Rheumatol Int       Date:  2011-11-18       Impact factor: 2.631

6.  The clinical utility of the Multidimensional Pain Inventory (MPI) in characterizing chronic disabling occupational musculoskeletal disorders.

Authors:  YunHee Choi; Tom G Mayer; Mark Williams; Robert J Gatchel
Journal:  J Occup Rehabil       Date:  2013-06

Review 7.  Fibromyalgia: A Critical and Comprehensive Review.

Authors:  Andrea T Borchers; M Eric Gershwin
Journal:  Clin Rev Allergy Immunol       Date:  2015-10       Impact factor: 8.667

8.  Subgrouping patients with fibromyalgia according to the results of the Fibromyalgia Impact Questionnaire: a replication study.

Authors:  Elena P Calandre; Jocelyne Garcia-Carrillo; Juan M Garcia-Leiva; Fernando Rico-Villademoros; Rocío Molina-Barea; Carmen M Rodriguez-Lopez
Journal:  Rheumatol Int       Date:  2010-05-20       Impact factor: 2.631

9.  Differences in pain, function and coping in Multidimensional Pain Inventory subgroups of chronic back pain: a one-group pretest-posttest study.

Authors:  Martin L Verra; Felix Angst; J Bart Staal; Roberto Brioschi; Susanne Lehmann; André Aeschlimann; Rob A de Bie
Journal:  BMC Musculoskelet Disord       Date:  2011-06-30       Impact factor: 2.362

10.  Reliability of the Multidimensional Pain Inventory and stability of the MPI classification system in chronic back pain.

Authors:  Martin L Verra; Felix Angst; J Bart Staal; Roberto Brioschi; Susanne Lehmann; André Aeschlimann; Rob A de Bie
Journal:  BMC Musculoskelet Disord       Date:  2012-08-24       Impact factor: 2.362

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