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

Publication ,  Journal Article
Kenney, MO; Wilson, S; Rosser, M; Lanzkron, S; Kanter, J; Padrino, S; Desai, P; Manwani, D; Cohen, A; Guarino, S; Hagar, W; Field, J; Little, J
Published in: PLoS One
2025

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.

Duke Scholars

Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2025

Volume

20

Issue

5

Start / End Page

e0320889

Location

United States

Related Subject Headings

  • Young Adult
  • Severity of Illness Index
  • Registries
  • Pain Measurement
  • Pain
  • Middle Aged
  • Male
  • Humans
  • General Science & Technology
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Kenney, M. O., Wilson, S., Rosser, M., Lanzkron, S., Kanter, J., Padrino, S., … 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
Kenney, Martha O., Samuel Wilson, Morgan Rosser, Sophie Lanzkron, Julie Kanter, Susan Padrino, Payal Desai, et al. “Identifying distinct subgroups with severe pain in sickle cell disease: A cluster analysis of the GRNDaD multi-center registry.PLoS One 20, no. 5 (2025): e0320889. https://doi.org/10.1371/journal.pone.0320889.
Kenney MO, Wilson S, Rosser M, Lanzkron S, Kanter J, Padrino S, et al. Identifying distinct subgroups with severe pain in sickle cell disease: A cluster analysis of the GRNDaD multi-center registry. PLoS One. 2025;20(5):e0320889.
Kenney, Martha O., et al. “Identifying distinct subgroups with severe pain in sickle cell disease: A cluster analysis of the GRNDaD multi-center registry.PLoS One, vol. 20, no. 5, 2025, p. e0320889. Pubmed, doi:10.1371/journal.pone.0320889.
Kenney MO, Wilson S, Rosser M, Lanzkron S, Kanter J, Padrino S, Desai P, Manwani D, Cohen A, Guarino S, Hagar W, Field J, Little J. Identifying distinct subgroups with severe pain in sickle cell disease: A cluster analysis of the GRNDaD multi-center registry. PLoS One. 2025;20(5):e0320889.

Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2025

Volume

20

Issue

5

Start / End Page

e0320889

Location

United States

Related Subject Headings

  • Young Adult
  • Severity of Illness Index
  • Registries
  • Pain Measurement
  • Pain
  • Middle Aged
  • Male
  • Humans
  • General Science & Technology
  • Female