Skip to main content
Journal cover image

Determination of Pain Phenotypes in Knee Osteoarthritis Using Latent Profile Analysis.

Publication ,  Journal Article
Kittelson, AJ; Schmiege, SJ; Maluf, K; George, SZ; Stevens-Lapsley, JE
Published in: Pain Med
March 18, 2021

OBJECTIVE: To identify clinical phenotypes of knee osteoarthritis (OA) using measures from the following domains: 1) multimorbidity; 2) psychological distress; 3) pain sensitivity; and 4) knee impairment or pathology. DESIGN: Data were collected from 152 people with knee OA and from 31 pain-free individuals. In participants with knee OA, latent profile analysis (LPA) was applied to the following measures: normalized knee extensor strength, Functional Comorbidity Index (FCI), Pain Catastrophizing Scale (PCS), and local (knee) pressure pain threshold. Comparisons were performed between empirically derived phenotypes from the LPA and healthy older adults on these measures. Comparisons were also made between pheonotypes on pain intensity, functional measures, use of health care, and history of knee injury. RESULTS: LPA resulted in a four-group solution. Compared with all other groups, group 1 (9% of the study population) had higher FCI scores. Group 2 (63%) had elevated pain sensitivity and quadriceps weakness relative to group 4 and healthy older adults. Group 3 (11%) had higher PCS scores than all other groups. Group 4 (17%) had greater leg strength, except relative to healthy older adults, and reduced pain sensitivity relative to all groups. Groups 1 and 3 demonstrated higher pain and worse function than other groups, and group 4 had higher rates of knee injury. CONCLUSION: Four phenotypes of knee OA were identified using psychological factors, comorbidity status, pain sensitivity, and leg strength. Follow-up analyses supported the replicability of this phenotype structure, but future research is needed to determine its usefulness in knee OA care.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Pain Med

DOI

EISSN

1526-4637

Publication Date

March 18, 2021

Volume

22

Issue

3

Start / End Page

653 / 662

Location

England

Related Subject Headings

  • Phenotype
  • Pain Measurement
  • Pain
  • Osteoarthritis, Knee
  • Knee Joint
  • Humans
  • Anesthesiology
  • Aged
  • 5203 Clinical and health psychology
  • 4203 Health services and systems
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Kittelson, A. J., Schmiege, S. J., Maluf, K., George, S. Z., & Stevens-Lapsley, J. E. (2021). Determination of Pain Phenotypes in Knee Osteoarthritis Using Latent Profile Analysis. Pain Med, 22(3), 653–662. https://doi.org/10.1093/pm/pnaa398
Kittelson, Andrew J., Sarah J. Schmiege, Katrina Maluf, Steven Z. George, and Jennifer E. Stevens-Lapsley. “Determination of Pain Phenotypes in Knee Osteoarthritis Using Latent Profile Analysis.Pain Med 22, no. 3 (March 18, 2021): 653–62. https://doi.org/10.1093/pm/pnaa398.
Kittelson AJ, Schmiege SJ, Maluf K, George SZ, Stevens-Lapsley JE. Determination of Pain Phenotypes in Knee Osteoarthritis Using Latent Profile Analysis. Pain Med. 2021 Mar 18;22(3):653–62.
Kittelson, Andrew J., et al. “Determination of Pain Phenotypes in Knee Osteoarthritis Using Latent Profile Analysis.Pain Med, vol. 22, no. 3, Mar. 2021, pp. 653–62. Pubmed, doi:10.1093/pm/pnaa398.
Kittelson AJ, Schmiege SJ, Maluf K, George SZ, Stevens-Lapsley JE. Determination of Pain Phenotypes in Knee Osteoarthritis Using Latent Profile Analysis. Pain Med. 2021 Mar 18;22(3):653–662.
Journal cover image

Published In

Pain Med

DOI

EISSN

1526-4637

Publication Date

March 18, 2021

Volume

22

Issue

3

Start / End Page

653 / 662

Location

England

Related Subject Headings

  • Phenotype
  • Pain Measurement
  • Pain
  • Osteoarthritis, Knee
  • Knee Joint
  • Humans
  • Anesthesiology
  • Aged
  • 5203 Clinical and health psychology
  • 4203 Health services and systems