Central Sensitivity Is Associated with Poor Recovery of Pain: Prediction, Cluster, and Decision Tree Analyses

Joint Authors

Shigetoh, Hayato
Koga, Masayuki
Tanaka, Yoichi
Morioka, Shu

Source

Pain Research and Management

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-10-30

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Diseases

Abstract EN

The process of pain recovery varies and can include the recovery, maintenance, or worsening of symptoms.

Many cases of patients with pain show a tendency of recovering as predicted; however, some do not.

The characteristics of cases that do not fit the prediction of pain recovery remain unclear.

We performed cluster and decision tree analyses to reveal the characteristics in cases that do not fit the prediction of pain recovery.

A total of 43 patients with musculoskeletal pain (nonoperative: 22 patients, operative: 13 patients) and central pain (brain disease: 5 patients, spinal cord disease: 3 patients) were included in this longitudinal study.

Central sensitivity syndrome (CSS) outcome measures (Central Sensitisation Inventory), pain intensity-related outcome measures (Short-Form McGill Pain Questionnaire-2 (SFMPQ-2)), and cognitive-emotional outcome measures (Hospital Anxiety and Depression Scale and Pain Catastrophising Scale-4) of all patients were assessed at baseline and after 1-2 months.

Regression analysis was used to calculate pain recovery prediction values.

A hierarchical cluster analysis based on the predicted change of SFMPQ-2 and the observed change of SFMPQ-2 was used to extract subgroups that fit and those that do not fit pain recovery prediction.

To extract the characteristics of subgroups that do not fit the prediction of pain recovery, a decision tree analysis was performed.

The level of significance was set at 5%.

In the results of cluster analysis, patients were classified into three subgroups.

Cluster 1 was characterised by worse pain intensity from baseline, cluster 2 by pain, having recovered less and mildly than the predicted value, and Cluster 3 by a marked recovery of pain.

In the results of the decision tree analysis, the CSI change was extracted as an indicator related to the classification of all clusters.

Our findings suggest that the poor improvement of CSS is characteristic in cases that do not fit the prediction of pain recovery.

American Psychological Association (APA)

Shigetoh, Hayato& Koga, Masayuki& Tanaka, Yoichi& Morioka, Shu. 2020. Central Sensitivity Is Associated with Poor Recovery of Pain: Prediction, Cluster, and Decision Tree Analyses. Pain Research and Management،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1207051

Modern Language Association (MLA)

Shigetoh, Hayato…[et al.]. Central Sensitivity Is Associated with Poor Recovery of Pain: Prediction, Cluster, and Decision Tree Analyses. Pain Research and Management No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1207051

American Medical Association (AMA)

Shigetoh, Hayato& Koga, Masayuki& Tanaka, Yoichi& Morioka, Shu. Central Sensitivity Is Associated with Poor Recovery of Pain: Prediction, Cluster, and Decision Tree Analyses. Pain Research and Management. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1207051

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1207051