Sensory Profiles Predict Symptoms of Central Sensitization in Low Back Pain: A Predictive Model Research Study

<b>Background</b>: Acute low back pain has a high prevalence, and when persisting into chronicity, it results in enormous socio-economic consequences. Sensory preferences may be key factors in predicting central sensitization as the main mechanism of nociplastic pain and chronicity. <b>Objectives</b>: Build a model to predict central sensitization symptoms using sensory profiles based on the PROGRESS framework. <b>Methods</b>: A Prognostic Model Research study was carried out to predict central sensitization symptoms at 12 weeks, using baseline sensory profiles, based on 114 patients with acute low back pain. Independent variables were sensory profiles, state and trait anxiety, age, duration, pain severity, depressive symptoms, and pain catastrophizing. <b>Results</b>: This model, based on continuous data, significantly predicts central sensitization symptoms at 12 weeks. It contains two significantly contributing variables: sensory profile Sensory Sensitive (unstandardized B-value = 0.42; <i>p</i> = 0.01) and trait anxiety (unstandardized B-value = 0.53; <i>p</i> ≤ 0.001). The model has a predictive value of R<sup>2</sup> = 0.38. <b>Conclusions</b>: This model significantly predicts central sensitization symptoms based on sensory profile Sensory Sensitive and trait anxiety. This model may be a useful tool to intervene in a bottom-up and top-down approaches to prevent chronicity in clinical practice, including individual sensory preferences and behavioral responses to sensory stimulation in rehabilitation strategies.

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Publication Details

Journal
Journal of Clinical Medicine
Published
2024-08-09
DOI
https://doi.org/10.3390/jcm13164677
Citations
6
Primary Topic
Musculoskeletal pain and rehabilitation
Type
article
Field-Weighted Citation Impact
2.69
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article

Sensory Profiles Predict Symptoms of Central Sensitization in Low Back Pain: A Predictive Model Research Study

Pieter J. Gräper, Aldo Scafoglieri, Jacqui Clark, Joannes M. Hallegraeff
6 citations
Journal of Clinical Medicine
Musculoskeletal pain and rehabilitation
2.69
article

Sensory Profiles Predict Symptoms of Central Sensitization in Low Back Pain: A Predictive Model Research Study

Pieter J. Gräper, Aldo Scafoglieri, Jacqui Clark, Joannes M. Hallegraeff
article en
6 citations

Abstract

<b>Background</b>: Acute low back pain has a high prevalence, and when persisting into chronicity, it results in enormous socio-economic consequences. Sensory preferences may be key factors in predicting central sensitization as the main mechanism of nociplastic pain and chronicity. <b>Objectives</b>: Build a model to predict central sensitization symptoms using sensory profiles based on the PROGRESS framework. <b>Methods</b>: A Prognostic Model Research study was carried out to predict central sensitization symptoms at 12 weeks, using baseline sensory profiles, based on 114 patients with acute low back pain. Independent variables were sensory profiles, state and trait anxiety, age, duration, pain severity, depressive symptoms, and pain catastrophizing. <b>Results</b>: This model, based on continuous data, significantly predicts central sensitization symptoms at 12 weeks. It contains two significantly contributing variables: sensory profile Sensory Sensitive (unstandardized B-value = 0.42; <i>p</i> = 0.01) and trait anxiety (unstandardized B-value = 0.53; <i>p</i> ≤ 0.001). The model has a predictive value of R<sup>2</sup> = 0.38. <b>Conclusions</b>: This model significantly predicts central sensitization symptoms based on sensory profile Sensory Sensitive and trait anxiety. This model may be a useful tool to intervene in a bottom-up and top-down approaches to prevent chronicity in clinical practice, including individual sensory preferences and behavioral responses to sensory stimulation in rehabilitation strategies.

Journal of Clinical MedicineVol. 13(16)
Vrije Universiteit Brussel (BE), Pain in Motion (BE), SOMT University of Physiotherapy (NL)
Openalex Percentile: Top 10%
Musculoskeletal pain and rehabilitation
2.69
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