Work

Model-Based Patterns of Lymphedema Symptomatology: Phenotypic and Biomarker Characterization

Year: 2020
Type: article
Study design: Observational Study
Abstract: PURPOSE OF THE STUDY: More than 50% of breast cancer survivors without a diagnosis of lymphedema suffer daily from numerous and co-occurring lymphedema symptoms. This study aimed to identify lymphedema symptom patterns and the association of such patterns with phenotypic characteristics and biomarkers using latent class analysis (LCA). A prospective, descriptive, and repeated-measure design was used to enroll 140 women and collect data. RECENT FINDINGS: LCA identified three distinct lymphedema symptom classes at 8 weeks and 12 months post-surgery: low, moderate, and severe symptom classes and associated phenotypic characteristics. Participants were more likely to be in the severe symptom classes at 12 months post-surgery if they had lower education level, cording, an axillary syndrome at 8 weeks post-surgery, neoadjuvant chemotherapy, and radiation. SUMMARY: Pre-surgery level of IL1-a, IL-6, IL-8, and VEGF was associated with the severe symptom class at 8 weeks post-surgery, suggesting that such biomarkers may be used to predict risk for lymphedema symptoms.
Language: English
Subfield: Oncology
Field: Medicine
Open Access status: hybrid
Estimated APC paid: $3,260
OpenAlex ID: W3106922789
FWCI: 0.883
Cites: 27
Cited by: 17
Related to: 10