Background: Our study investigates the associations between pain distribution, biopsychosocial factors, and Patient-Reported Outcomes Measurement Information System (PROMIS) measures in patients with systemic lupus erythematosus (SLE). Employing self-reported pain body maps, we aim to characterize the distribution of pain and its impact on biopsychosocial measures.

Methods: We retrospectively analyzed the electronic health records (EHR) of 332 adult patients with SLE attending pain clinics at an academic medical center. The study included demographics, pain distribution assessed via self-reported body maps, and PROMIS assessments of biopsychosocial experiences. We used linear regression models adjusted for age and sex to investigate associations between pain distribution and PROMIS outcomes.

Results: Men, on average, indicated pain in 3.2 regions, whereas women reported pain in 5.6 regions. Women predominantly highlighted the hip, buttock, and leg region, whereas men primarily emphasized the shoulder and arm region. We found a positive correlation between pain widespreadness and worse PROMIS measures, including pain interference, behavior, fatigue, depression, anxiety, sleep disturbance, and social isolation. Additionally, widespread pain was associated with lower physical function, emotional support, and satisfaction in roles and activities. Female patients reported higher levels of pain and PROMIS measures compared to males.

Conclusion: Our findings highlight the multidimensional impact of pain on SLE patients' lives underscoring the need for holistic pain management approaches. The intricate associations between pain distribution and biopsychosocial factors emphasize the importance of considering spatial dimensions of pain in clinical interventions. Further research is warranted to explore effective interventions addressing psychosocial aspects of pain in SLE, aiming to enhance patient symptom management and quality of life.

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Source
http://dx.doi.org/10.1177/09612033241301176DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11663094PMC

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