Literature DB >> 30007061

Assessment of CPM reliability: quantification of the within-subject reliability of 10 different protocols.

Henrik Bjarke Vaegter1,2, Kristian Kjær Petersen3, Carsten Dahl Mørch3, Yosuke Imai4, Lars Arendt-Nielsen3.   

Abstract

Background and aims Conditioned Pain Modulation (CPM) is a well-established phenomenon and several protocols have shown acceptable between-subject reliability [based on intraclass correlation coefficient (ICC) values] in pain-free controls. Recently, it was recommended that future CPM test-retest reliability studies should explicitly report CPM reliability based on CPM responders and non-responders (within-subject reliability) based on measurement error of the test stimulus. Identification of reliable CPM paradigms based on responders and non-responders may be a step towards using CPM as a mechanistic marker in diagnosis and individualized pain management regimes. The primary aim of this paper is to investigate the frequency of CPM responders/non-responders, and to quantify the agreements in the classification of responders/non-responders between 2 different days for 10 different CPM protocols. Methods Data from a previous study investigating reliability of CPM protocols in healthy subjects was used. In 26 healthy men, the test-stimuli used on both days were: Pain thresholds to electrical stimulation, heat stimulation, manual algometry, and computer-controlled cuff algometry as well as pain tolerance to cuff algometry. Two different conditioning stimuli (CS; cold water immersion and a computer-controlled tourniquet) were used in a randomized and counterbalanced order in both sessions. CPM responders were defined as a larger increase in the test stimulus response during the CS than the standard error of measurement (SEM) for the test-stimuli between repeated baseline tests without CS. Results Frequency of responders and non-responders showed large variations across protocols. Across the studied CPM protocols, a large proportion (from 11.5 to 73.1%) of subjects was classified as CPM non-responders when the test stimuli standard error of measurements (SEM) was considered as classifier. The combination of manual pressure algometry and cold water immersion induced a CPM effect in most participants on both days (n=16). However, agreement in the classification of CPM responders versus non-responders between days was only significant when assessed with computer-controlled pressure pain threshold as test-stimulus and tourniquet cuff as CS (κ=0.36 [95% CI, 0.04-0.68], p=0.037). Conclusions and implications Agreements in classification of CPM responders/non-responders using SEM as classifier between days were generally poor suggesting considerable intra-individual variation in CPM. The most reliable paradigm was computer-controlled pressure pain threshold as test-stimulus and tourniquet cuff as conditioning stimulus. However while this CPM protocol had the greatest degree of agreement of classification of CPM responders and non-responders across days, this protocol also failed to induce a CPM response in more than half of the sample. In contrast, the commonly used combination of manual pressure algometry and cold water immersion induced a CPM effect in most participants however it was inconsistent in doing so. Further exploration of the two paradigms and classification of responders and non-responders in a larger heterogeneous sample also including women would further inform the clinical usefulness of these CPM protocols. Future research in this area may be an important step towards using CPM as a mechanistic marker in diagnosis and in developing individualized pain management regimes.

Entities:  

Keywords:  conditioned pain modulation; cuff algometry; pain sensitivity; pain threshold; pain tolerance; reliability; test-retest

Mesh:

Year:  2018        PMID: 30007061     DOI: 10.1515/sjpain-2018-0087

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


  7 in total

1.  Algometry for the assessment of central sensitisation to pain in fibromyalgia patients: a systematic review.

Authors:  Pablo de la Coba; Casandra I Montoro; Gustavo A Reyes Del Paso; Carmen M Galvez-Sánchez
Journal:  Ann Med       Date:  2022-12       Impact factor: 5.348

2.  Considerations for multi-centre conditioned pain modulation (CPM) research; an investigation of the inter-rater reliability, level of agreement and confounders for the Achilles tendon and Triceps Surae.

Authors:  Myles Murphy; William Gibson; Paola Chivers; Sean Docking; Ebonie Rio
Journal:  Br J Pain       Date:  2020-04-17

3.  Conditioned Pain Modulation Is Not Impaired in Individuals with Frozen Shoulder: A Case-Control Study.

Authors:  Marta Aguilar-Rodríguez; Lirios Dueñas; Mercè Balasch I Bernat; Mira Meeus; Filip Struyf; Enrique Lluch
Journal:  Int J Environ Res Public Health       Date:  2021-11-24       Impact factor: 3.390

4.  No relevant differences in conditioned pain modulation effects between parallel and sequential test design. A cross-sectional observational study.

Authors:  Roland R Reezigt; Sjoerd C Kielstra; Michel W Coppieters; Gwendolyne G M Scholten-Peeters
Journal:  PeerJ       Date:  2021-12-14       Impact factor: 2.984

5.  Impaired conditioned pain modulation was restored after a single exercise session in individuals with and without fibromyalgia.

Authors:  Ali Alsouhibani; Marie Hoeger Bement
Journal:  Pain Rep       Date:  2022-04-01

6.  The influence of exercise on clinical pain and pain mechanisms in patients with subacromial pain syndrome.

Authors:  Kristian Damgaard Lyng; Jonas Dahl Andersen; Steen Lund Jensen; Jens Lykkegaard Olesen; Lars Arendt-Nielsen; Niels Kragh Madsen; Kristian Kjaer Petersen
Journal:  Eur J Pain       Date:  2022-07-27       Impact factor: 3.651

7.  Greater Conditioned Pain Modulation Is Associated With Enhanced Morphine Analgesia in Healthy Individuals and Patients With Chronic Low Back Pain.

Authors:  Stephen Bruehl; Christopher R France; Amanda L Stone; Rajnish Gupta; Asokumar Buvanendran; Melissa Chont; John W Burns
Journal:  Clin J Pain       Date:  2021-01       Impact factor: 3.423

  7 in total

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