Spinal manipulation and modulation of pain sensitivity in persistent low back pain: a secondary cluster analysis of a randomized trial

Casper Glissmann Nim, Kenneth Arnold Weber, Gregory Neill Kawchuk, Søren O'Neill, Casper Glissmann Nim, Kenneth Arnold Weber, Gregory Neill Kawchuk, Søren O'Neill

Abstract

Background: Pain hypersensitivity can be assessed using Quantitative Sensory Testing (QST) and is associated with persistent low back pain. Spinal manipulation appears to modify pain hypersensitivity, and this could function as one mechanism leading to clinical improvements. In the current study, we applied a comprehensive QST battery to assess pain sensitivity in a cohort of low back pain patients before and after spinal manipulation to improve our understanding of the association between QST and clinical improvements. This study addresses two questions: Are clinical improvements following spinal manipulation in low back pain patients contingent on pain hypersensitivity, and does pain sensitivity change following spinal manipulation?

Methods: We performed a secondary analysis of data from a randomized clinical trial. One hundred and thirty-two participants with persistent LBP were treated with spinal manipulation four times over two weeks. Patient-reported outcomes and QST were assessed at baseline, after the fourth spinal manipulation session, and 14-days later. The clinical outcomes were changes in low back pain intensity and disability. Using latent profile analysis, we categorized the participants into clusters depending on their baseline QST scores. We used linear mixed models to examine the association between clusters and changes in patient-reported outcomes and QST.

Results: Two clusters emerged: a Sensitized and a Not sensitized. The former had significantly lower regional pressure and thermal pain thresholds, remote pressure pain tolerance, and lower inhibitory conditioned pain modulation than the Not sensitized group. However, we only found between-cluster differences for regional pressure pain threshold following spinal manipulation. Thus, the clusters were not associated with patient-reported pain and disability changes or the remaining QST outcomes.

Conclusions: We report that the baseline QST profile was not associated with clinical improvements following spinal manipulation. We did observe a substantial change for regional pressure pain threshold, which suggests that any effect of spinal manipulation on pain sensitivity is most likely to be observed as changes in regional, mechanical pain threshold. However, the mechanism that invokes clinical improvement and pain sensitivity changes appear distinct. Due to methodological caveats, we advise caution when interpreting the results.

Trial registration: Clinical.Trial.gov identifier: NCT04086667 , registered 11 September 2019 - Retrospectively registered, https://ichgcp.net/clinical-trials-registry/NCT04086667.

Keywords: Chronic pain; Low back pain; Pain modulation; Pressure pain threshold; Quantitative sensory testing; Spinal manipulation.

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Quantitative sensory tests for the two groups derived from latent profile analysis. Scaled mean values for the different QST parameters [mean = 0, standard deviation = 1]. QST: Quantitative sensory pain test. PPT: Regional pressure pain threshold. HPT: Regional heat pain threshold, rPPT: Remote pressure pain threshold, rPTT: Remote pressure pain tolerance threshold, TS: Temporal summation, CPM: Conditioned pain modulation
Fig. 2
Fig. 2
Stability patterns of quantitative sensory tests for two groups at three different time points. An overview of the cluster stability pattern in the latent profile analysis following spinal manipulation in persistent low back pain patients. The numbers above the arrows indicate the transition of patients over time. A red number indicates the transition to Sensitized, and a blue number indicates the transition to Not sensitized
Fig. 3
Fig. 3
Within-cluster mean changes in low back pain intensity and disability for each latent profile derived cluster after spinal manipulation. Estimated marginal means (95% confidence intervals) from baseline to post-SM and follow up, respectively, in the two groups derived from latent profile analysis. Low back pain intensity is measured on a numerical pain rating scale [0–10]. Disability is measured using the Oswestry disability index [0–100], * = a within-cluster p-value

Fig. 4

The association between clinical improvements…

Fig. 4

The association between clinical improvements and change in cluster classification following spinal manipulation.…

Fig. 4
The association between clinical improvements and change in cluster classification following spinal manipulation. The y-axis presents the change scores in patient-reported outcomes between follow-up and baseline. A negative value indicates improvement. The x-axis presents the stability of the clusters from baseline to follow-up. Low back pain intensity is measured on a numerical pain rating scale [0–10]. Disability is measured using the Oswestry disability index [0–100]. Stable (n = 78), Shift to Not sensitized (n = 20), Shift to Sensitized (n = 7)

Fig. 5

Within changes in regional pressure…

Fig. 5

Within changes in regional pressure pain threshold [kPa, 0–100] for each latent profile…

Fig. 5
Within changes in regional pressure pain threshold [kPa, 0–100] for each latent profile derived cluster faceted by segment allocation after spinal manipulation. Estimated marginal means (95% confidence intervals) from baseline to post-SM and follow up, respectively, in the two groups derived from latent profile analysis for each allocated SM segment group. * = a within-cluster p-value
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    1. Arendt-Nielsen L, Morlion B, Perrot S, Dahan A, Dickenson A, Kress HG, et al. Assessment and manifestation of central sensitisation across different chronic pain conditions. European Journal of Pain (London, England). 2018;22(2):216–41. - PubMed
    1. Arendt-Nielsen L, Graven-Nielsen T. Translational musculoskeletal pain research. Best Practice & Research Clinical Rheumatology [Internet]. 2011 Apr [cited 2020 May 7];25(2):209–26. Available from: https://linkinghub.elsevier.com/retrieve/pii/S1521694211000088 - PubMed
    1. Graven-Nielsen T, Arendt-Nielsen L. Assessment of mechanisms in localized and widespread musculoskeletal pain. Nature Reviews Rheumatology [Internet]. 2010 Oct [cited 2019 Sep 10];6(10):599–606. Available from: http://www.nature.com/articles/nrrheum.2010.107 - PubMed
    1. O’Neill S, Manniche C, Graven-Nielsen T, Arendt-Nielsen L. Generalized deep-tissue hyperalgesia in patients with chronic low-back pain. European Journal of Pain (London, England). 2007 May;11(4):415–20. - PubMed
    1. Marcuzzi A, Wrigley PJ, Dean CM, Graham PL, Hush JM. From acute to persistent low back pain: A longitudinal investigation of somatosensory changes using quantitative sensory testing—an exploratory study. PAIN Reports [Internet]. 2018 [cited 2019 Dec 9];3(2):e641. Available from: http://Insights.ovid.com/crossref?an=01938936-201804000-00006 - PMC - PubMed
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Fig. 4
Fig. 4
The association between clinical improvements and change in cluster classification following spinal manipulation. The y-axis presents the change scores in patient-reported outcomes between follow-up and baseline. A negative value indicates improvement. The x-axis presents the stability of the clusters from baseline to follow-up. Low back pain intensity is measured on a numerical pain rating scale [0–10]. Disability is measured using the Oswestry disability index [0–100]. Stable (n = 78), Shift to Not sensitized (n = 20), Shift to Sensitized (n = 7)
Fig. 5
Fig. 5
Within changes in regional pressure pain threshold [kPa, 0–100] for each latent profile derived cluster faceted by segment allocation after spinal manipulation. Estimated marginal means (95% confidence intervals) from baseline to post-SM and follow up, respectively, in the two groups derived from latent profile analysis for each allocated SM segment group. * = a within-cluster p-value

References

    1. Arendt-Nielsen L, Morlion B, Perrot S, Dahan A, Dickenson A, Kress HG, et al. Assessment and manifestation of central sensitisation across different chronic pain conditions. European Journal of Pain (London, England). 2018;22(2):216–41.
    1. Arendt-Nielsen L, Graven-Nielsen T. Translational musculoskeletal pain research. Best Practice & Research Clinical Rheumatology [Internet]. 2011 Apr [cited 2020 May 7];25(2):209–26. Available from:
    1. Graven-Nielsen T, Arendt-Nielsen L. Assessment of mechanisms in localized and widespread musculoskeletal pain. Nature Reviews Rheumatology [Internet]. 2010 Oct [cited 2019 Sep 10];6(10):599–606. Available from:
    1. O’Neill S, Manniche C, Graven-Nielsen T, Arendt-Nielsen L. Generalized deep-tissue hyperalgesia in patients with chronic low-back pain. European Journal of Pain (London, England). 2007 May;11(4):415–20.
    1. Marcuzzi A, Wrigley PJ, Dean CM, Graham PL, Hush JM. From acute to persistent low back pain: A longitudinal investigation of somatosensory changes using quantitative sensory testing—an exploratory study. PAIN Reports [Internet]. 2018 [cited 2019 Dec 9];3(2):e641. Available from:
    1. O’Neill S, Kjær P, Graven-Nielsen T, Manniche C, Arendt-Nielsen L. Low pressure pain thresholds are associated with, but does not predispose for, low back pain. European Spine Journal [Internet]. 2011 Dec [cited 2019 Aug 6];20(12):2120–5. Available from:
    1. Marcuzzi A, Dean CM, Wrigley PJ, Chakiath RJ, Hush JM. Prognostic value of quantitative sensory testing in low back pain: a systematic review of the literature. J Pain Res. 2016;9:599–607. doi: 10.2147/JPR.S115659.
    1. Müller M, Curatolo M, Limacher A, Neziri AY, Treichel F, Battaglia M, et al. Predicting transition from acute to chronic low back pain with quantitative sensory tests—A prospective cohort study in the primary care setting. European Journal of Pain [Internet]. 2019 May [cited 2019 Aug 6];23(5):894–907. Available from:
    1. Verne GN, Robinson ME, Vase L, Price DD. Reversal of visceral and cutaneous hyperalgesia by local rectal anesthesia in irritable bowel syndrome (IBS) patients. Pain. 2003;105(1–2):223–230. doi: 10.1016/S0304-3959(03)00210-0.
    1. Staud R, Nagel S, Robinson ME, Price DD. Enhanced central pain processing of fibromyalgia patients is maintained by muscle afferent input: a randomized, double-blind, placebo-controlled study. Pain. 2009;145(1–2):96–104. doi: 10.1016/j.pain.2009.05.020.
    1. Vaegter HB, Ussing K, Johansen JV, Stegemejer I, Palsson TS, O’Sullivan P, et al. Improvements in clinical pain and experimental pain sensitivity after cognitive functional therapy in patients with severe persistent low back pain: PAIN Reports [Internet]. 2020 [cited 2020 Apr 10];5(1):e802. Available from:
    1. Meyer A-L, Amorim M-A, Schubert M, Schweinhardt P, Leboeuf-Yde C. Unravelling functional neurology: Does spinal manipulation have an effect on the brain? - a systematic literature review. Chiropractic & Manual Therapies [Internet]. 2019 Dec [cited 2019 Nov 4];27(1). Available from:
    1. Coronado RA, Gay CW, Bialosky JE, Carnaby GD, Bishop MD, George SZ. Changes in pain sensitivity following spinal manipulation: A systematic review and meta-analysis. Journal of Electromyography and Kinesiology [Internet]. 2012 Oct [cited 2019 Dec 6];22(5):752–67. Available from:
    1. Millan M, Leboeuf-Yde C, Budgell B, Amorim M-A. The effect of spinal manipulative therapy on experimentally induced pain: A systematic literature review. Chiropractic & Manual Therapies [Internet]. 2012 Dec [cited 2019 Jun 20];20(1). Available from:
    1. Honoré M, Leboeuf-Yde C, Gagey O. The regional effect of spinal manipulation on the pressure pain threshold in asymptomatic subjects: A systematic literature review. Chiropractic & Manual Therapies [Internet]. 2018 Dec [cited 2019 Jun 20];26(1). Available from:
    1. Aspinall SL, Leboeuf-Yde C, Etherington SJ, Walker BF. Manipulation-induced hypoalgesia in musculoskeletal pain populations: A systematic critical review and meta-analysis. Chiropractic & Manual Therapies [Internet]. 2019 Dec [cited 2019 Jun 13];27(1). Available from:
    1. Nim CG, Kawchuk GN, Schiøttz-Christensen B, O’Neill S. The effect on clinical outcomes when targeting spinal manipulation at stiffness or pain sensitivity: A randomized trial. Scientific Reports [Internet]. 2020 Dec [cited 2020 Oct 22];10(1). Available from:
    1. Hadizadeh M, Kawchuk GN, Parent E. Reliability of a new loaded rolling wheel system for measuring spinal stiffness in asymptomatic participants. BMC Musculoskeletal Disorders [Internet]. 2019 Dec [cited 2019 Jun 25];20(1). Available from:
    1. Jensen K, Andersen HO, Olesen J, Lindblom U. Pressure-pain threshold in human temporal region. Evaluation of a new pressure algometer. Pain. 1986;25(3):313–323. doi: 10.1016/0304-3959(86)90235-6.
    1. Manniche C, Asmussen K, Lauritsen B, Vinterberg H, Kreiner S, Jordan A. Low Back Pain Rating scale: Validation of a tool for assessment of low back pain: Pain [Internet]. 1994 Jun [cited 2019 Aug 30];57(3):317–26. Available from:
    1. Fairbank JCT, Pynsent PB. The Oswestry disability index. SPINE. 2000;25(22):2940–2953. doi: 10.1097/00007632-200011150-00017.
    1. Lauridsen HH, Hartvigsen J, Manniche C, Korsholm L, Grunnet-Nilsson N. Danish version of the Oswestry Disability Index for patients with low back pain. Part 1: Cross-cultural adaptation, reliability and validity in two different populations. European Spine Journal [Internet]. 2006 Nov [cited 2019 Aug 30];15(11):1705–16. Available from:
    1. Arendt-Nielsen L, Yarnitsky D. Experimental and Clinical Applications of Quantitative Sensory Testing Applied to Skin, Muscles and Viscera. The Journal of Pain [Internet]. 2009 Jun [cited 2020 Feb 15];10(6):556–72. Available from:
    1. IASP Terminology - IASP [Internet]. [cited 2020 Dec 7]. Available from:
    1. Paungmali A, Sitilertpisan P, Taneyhill K, Pirunsan U, Uthaikhup S. Intrarater Reliability of Pain Intensity, Tissue Blood Flow, Thermal Pain Threshold, Pressure Pain Threshold and Lumbo-Pelvic Stability Tests in Subjects with Low Back Pain. Asian Journal of Sports Medicine [Internet]. 2012 Mar [cited 2019 Aug 30];3(1). Available from:
    1. Knutti IA, Suter MR, Opsommer E. Test–retest reliability of thermal quantitative sensory testing on two sites within the L5 dermatome of the lumbar spine and lower extremity. Neuroscience Letters [Internet]. 2014 Sep [cited 2019 Aug 6];579:157–62. Available from:
    1. Graven-Nielsen T, Vaegter HB, Finocchietti S, Handberg G, Arendt-Nielsen L. Assessment of musculoskeletal pain sensitivity and temporal summation by cuff pressure algometry: A reliability study. PAIN [Internet]. 2015 Nov [cited 2019 Aug 6];156(11):2193–202. Available from:
    1. Suveg C, Jacob ML, Whitehead M, Jones A, Kingery JN. A model-based cluster analysis of social experiences in clinically anxious youth: Links to emotional functioning. Anxiety, Stress, & Coping [Internet]. 2014 Sep [cited 2020 Mar 19];27(5):494–508. Available from:
    1. Kongsted A, Nielsen AM. Latent Profile Analysis in health research. Journal of Physiotherapy [Internet]. 2017 Jan [cited 2020 Mar 5];63(1):55–8. Available from:
    1. Scrucca L, Fop M, Murphy T Brendan, Raftery A E. Mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models. The R Journal [Internet]. 2016 [cited 2020 12];8(1):289. Available from:
    1. Schwarz G. Estimating the dimension of a model. The Annals of Statistics [Internet] 1978;6(2):461–464. doi: 10.1214/aos/1176344136.
    1. Raftery AE. Bayesian Model Selection in Social Research. Sociological Methodology [Internet]. 1995 [cited 2020 May 25];25:111. Available from:
    1. Nylund KL, Asparouhov T, Muthén BO. Deciding on the Number of Classes in Latent Profile Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study. Structural Equation Modeling: A Multidisciplinary Journal [Internet]. 2007 Oct [cited 2020 Aug 20];14(4):535–69. Available from:
    1. Morsø L, Kent P, Albert HB, Manniche C. Is the psychosocial profile of people with low back pain seeking care in Danish primary care different from those in secondary care? Manual Therapy [Internet]. 2013 Feb [cited 2020 Oct 2];18(1):54–9. Available from:
    1. Ranger TA, Cicuttini FM, Jensen TS, Manniche C, Heritier S, Urquhart DM. Catastrophization, fear of movement, anxiety, and depression are associated with persistent, severe low back pain and disability. The Spine Journal [Internet]. 2020 Jun [cited 2020 Oct 2];20(6):857–65. Available from:
    1. Kent P, Kongsted A, Jensen TS, Albert HB, Schiøttz-Christensen B, Manniche C. SpineData - a Danish clinical registry of people with chronic back pain. Clinical Epidemiology. 2015;7:369–380. doi: 10.2147/CLEP.S83830.
    1. Kent P, Mirkhil S, Keating J, Buchbinder R, Manniche C, Albert HB. The Concurrent Validity of Brief Screening Questions for Anxiety, Depression, Social Isolation, Catastrophization, and Fear of Movement in People With Low Back Pain: The Clinical Journal of Pain [Internet]. 2014 Jun [cited 2020 Oct 2];30(6):479–89. Available from:
    1. R Development Core team. R: a language and environment for statistical computing [internet]. Vienna, Austria: R Foundation for statistical Computing; 2009. Available from:
    1. Wickham H, Averick M, Bryan J, Chang W, McGowan L, François R, et al. Welcome to the Tidyverse. Journal of Open Source Software [Internet]. 2019 Nov [cited 2020 Feb 6];4(43):1686. Available from:
    1. Kuznetsova A, Brockhoff PB, Christensen RHB. lmerTest Package: Tests in Linear Mixed Effects Models. Journal of Statistical Software [Internet]. 2017 Dec [cited 2020 Mar 9];82(1):1–26. Available from:
    1. Nagin DS. Group-based Modeling of Development. Cambridge, Mass: Harvard University Press; 2005.
    1. Neziri AY, Curatolo M, Nüesch E, Scaramozzino P, Andersen OK, Arendt-Nielsen L, et al. Factor analysis of responses to thermal, electrical, and mechanical painful stimuli supports the importance of multi-modal pain assessment: Pain [Internet]. 2011 May [cited 2019 Dec 6];152(5):1146–55. Available from:
    1. Rabey M, Slater H, O’Sullivan P, Beales D, Smith A. Somatosensory nociceptive characteristics differentiate subgroups in people with chronic low back pain: A cluster analysis. PAIN [Internet]. 2015 Oct [cited 2020 Jun 11];156(10):1874–84. Available from:
    1. Nim CG, Kawchuk GN, Schiøttz-Christensen B, O’Neill S. Changes in pain sensitivity and spinal stiffness in relation to responder status following spinal manipulative therapy in chronic low Back pain: A secondary explorative analysis of a randomized trial. BMC Musculoskeletal Disorders [Internet]. 2021 [cited 2021 Jan 18];22(1):23. Available from: .
    1. Voogt L, Vries J de, Meeus M, Struyf F, Meuffels D, Nijs J. Analgesic effects of manual therapy in patients with musculoskeletal pain: A systematic review. Manual Therapy [Internet]. 2015 Apr [cited 2020 Jun 11];20(2):250–6. Available from:
    1. Staud R, Weyl EE, Riley JL, Fillingim RB. Slow Temporal Summation of Pain for Assessment of Central Pain Sensitivity and Clinical Pain of Fibromyalgia Patients. Sommer C, editor. PLoS ONE [Internet]. 2014 Feb [cited 2020 Jun 17];9(2):e89086. Available from:
    1. Aspinall SL, Jacques A, Leboeuf-Yde C, Etherington SJ, Walker BF. Pressure pain threshold and temporal summation in adults with episodic and persistent low back pain trajectories: A secondary analysis at baseline and after lumbar manipulation or sham. Chiropractic & Manual Therapies [Internet]. 2020 Dec [cited 2020 Jun 17];28(1). Available from:
    1. Yarnitsky D. Conditioned pain modulation (the diffuse noxious inhibitory control-like effect): its relevance for acute and chronic pain states. Curr Opin Anaesthesiol. 2010;23(5):611–615. doi: 10.1097/ACO.0b013e32833c348b.

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