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Using a Two-Steps Clustering and PCA Analysis for Stratified Chronic Non-Cancer Pain Care: A Retrospective
Ana M Peiró1,2, Jordi Barrachina1, Mónica Escorial1
1Neuropharmacology Applied to Pain (NED), Clinical Pharmacology Unit, Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, 03010, Spain.
This study identified six patient clusters for chronic non-cancer pain (CNCP) to guide stratified care. Findings highlight factors like age and medication impacting quality of life, aiding personalized pain management.
Area of Science:
- Pain Medicine
- Health Services Research
- Data Science in Healthcare
Background:
- Chronic non-cancer pain (CNCP) affects many individuals, straining healthcare resources.
- Effective management requires stratified care tailored to patient needs.
- Current approaches may lack detailed patient phenotyping for optimal treatment matching.
Purpose of the Study:
- To characterize chronic non-cancer pain (CNCP) patient states using unsupervised cluster analysis.
- To identify distinct patient groups requiring different pain intervention strategies.
- To inform clinical recommendations for stratified pain care.
Main Methods:
- Analysis of a real-world ambulatory CNCP cohort (n=418) using patient-reported data.
- Clustering based on pain intensity/relief, quality of life, adverse events, and ED visits.
- Principal component analysis to define clusters and intervention requirements; retrospective validation (n=120).
Main Results:
- Six distinct patient clusters were identified, indicating different monitoring and clinical status.
- Older age (>65), retirement/medical leave, opioid/anxiolytic use significantly impacted quality of life.
- No significant sex differences were observed in the impact on daily quality of life.
Conclusions:
- Identified clusters can aid in screening patients, especially where physical examination access is limited.
- This data-driven stratification supports personalized pain management strategies.
- Further analyses are needed to confirm the replicability and clinical utility of this stratified care approach.
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