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Towards data-driven biopsychosocial classification of non-specific chronic low back pain: a pilot study.


ABSTRACT: The classification of non-specific chronic low back pain (CLBP) according to multidimensional data could guide clinical management; yet recent systematic reviews show this has not been attempted. This was a prospective cross-sectional study of participants with CLBP (n = 21) and age-, sex- and height-matched pain-free controls (n = 21). Nervous system, lumbar spinal tissue and psychosocial factors were collected. Dimensionality reduction was followed by fuzzy c-means clustering to determine sub-groups. Machine learning models (Support Vector Machine, k-Nearest Neighbour, Naïve Bayes and Random Forest) were used to determine the accuracy of classification to sub-groups. The primary analysis showed that four factors (cognitive function, depressive symptoms, general self-efficacy and anxiety symptoms) and two clusters (normal versus impaired psychosocial profiles) optimally classified participants. The error rates in classification models ranged from 4.2 to 14.2% when only CLBP patients were considered and increased to 24.2 to 37.5% when pain-free controls were added. This data-driven pilot study classified participants with CLBP into sub-groups, primarily based on psychosocial factors. This contributes to the literature as it was the first study to evaluate data-driven machine learning CLBP classification based on nervous system, lumbar spinal tissue and psychosocial factors. Future studies with larger sample sizes should validate these findings.

SUBMITTER: Tagliaferri SD 

PROVIDER: S-EPMC10423241 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

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Towards data-driven biopsychosocial classification of non-specific chronic low back pain: a pilot study.

Tagliaferri Scott D SD   Owen Patrick J PJ   Miller Clint T CT   Angelova Maia M   Fitzgibbon Bernadette M BM   Wilkin Tim T   Masse-Alarie Hugo H   Van Oosterwijck Jessica J   Trudel Guy G   Connell David D   Taylor Anna A   Belavy Daniel L DL  

Scientific reports 20230812 1


The classification of non-specific chronic low back pain (CLBP) according to multidimensional data could guide clinical management; yet recent systematic reviews show this has not been attempted. This was a prospective cross-sectional study of participants with CLBP (n = 21) and age-, sex- and height-matched pain-free controls (n = 21). Nervous system, lumbar spinal tissue and psychosocial factors were collected. Dimensionality reduction was followed by fuzzy c-means clustering to determine sub-  ...[more]

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