Identifying distinct subgroups with severe pain in sickle cell disease: A cluster analysis of the GRNDaD multi-center registry.

Authors

• Martha O Kenney
• Samuel Wilson
• Morgan Rosser
• Sophie Lanzkron
• Julie Kanter
• Susan Padrino
• Payal Desai
• Deepa Manwani
• Alice Cohen
• Stephanie Guarino
• Ward Hagar
• Joshua Field
• Jane Little

Publication/Presentation Date

1-1-2025

Abstract

Sickle cell disease (SCD) affects millions of individuals worldwide, and is characterized by both acute, episodic pain and chronic, persistent pain. Despite the significant burden of the disease, clinicians continue to face significant challenges in treating SCD pain due to variability in pain experiences. The objectives of this study were (1) to identify distinct pain subgroups based on demographic and biopsychosocial characteristics and (2) to evaluate the relationship between the subgroups and pain impact - a SCD-disease specific measure of pain interference. To achieve these objectives, we performed a hierarchical cluster analysis on a cross-sectional sample of adults with SCD who are enrolled in the Globin Research Network Data and Discovery (GRNDaD) registry. Five hundred thirty-two participants (61% females and 64% with chronic pain) were included in the analysis. Six distinct subgroups were identified, 3 with chronic pain (Clusters 1-3) and 3 without chronic pain (Clusters 4-6). Despite differences in biological markers of disease severity such as genotype, hemoglobin and fetal hemoglobin percentage, chronic pain subgroups had comparable odds of reporting worse pain impact, suggesting that chronic pain has a disproportionate influence on SCD pain when compared to other factors. Longitudinal studies are needed to further validate these findings and to determine how these pain subgroups may change. Overall, our findings indicate that understanding and preventing chronic pain in SCD must be a top priority to improve the quality of life of those living with SCD.

Volume

20

Issue

5

First Page

0320889

Last Page

0320889

ISSN

1932-6203

Published In/Presented At

Kenney, M. O., Wilson, S., Rosser, M., Lanzkron, S., Kanter, J., Padrino, S., Desai, P., Manwani, D., Cohen, A., Guarino, S., Hagar, W., Field, J., & Little, J. (2025). Identifying distinct subgroups with severe pain in sickle cell disease: A cluster analysis of the GRNDaD multi-center registry. PloS one, 20(5), e0320889. https://doi.org/10.1371/journal.pone.0320889

Disciplines

Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods

PubMedID

40373037

Department(s)

Administration and Leadership

Document Type

Article