Exploring the Biopsychosocial Impact of Chronic Low Back Pain in Workers Through Artificial Intelligence-Driven Phenotyping.

ABSTRACT:

Study design

Cross-sectional retrospective cohort study.

Objectives

Chronic low back pain (cLBP) is a major cause of disability worldwide, significantly affecting return to work (RTW). This study aimed to assess the biopsychosocial factors influencing occupational functioning in workers with cLBP using artificial intelligence (AI) data-driven patient phenotyping.

Methods

Data of workers affected by cLBP were collected through a comprehensive assessment of demographic, clinical, and occupational factors. Hierarchical clustering was employed to identify distinct phenotypes based on patient-reported outcome measures (PROMs), including the Oswestry Disability Index (ODI), Visual Analog Scale (VAS), Work Ability Index (WAI), Nordic score, and Patient Health Questionnaire-2

SUBMITTER: Giaccone P 

PROVIDER: S-EPMC12442893 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature