L-Dex, arm volume, and symptom trajectories 24 months after breast cancer surgery

Sheila H. Ridner, Chirag Shah, John Boyages, Louise Koelmeyer, Nicolas Ajkay, Sarah M. DeSnyder, Sarah A. McLaughlin, Mary S. Dietrich

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Purpose: Study objectives were to examine: (a) biomarker trajectories (change from presurgical baseline values of Lymphedema index (L-Dex) units and arm volume difference) and symptom cluster scores 24 months after breast cancer surgery and (b) associations of these objective biomarkers and symptom cluster scores. Patient/treatment characteristics influencing trajectories were also evaluated. Methods: A secondary analysis of data from the published interim analysis of a randomized parent study was undertaken using trajectory analysis. Five hundred and eight participants included in the prior analysis with 24 months of postsurgical follow-up were initially measured with bioelectric impedance spectroscopy (BIS) and tape measure (TM) and completed self-report measures. Patients were reassessed postsurgery for continuing eligibility and then randomized to either BIS or TM groups and measured along with self-report data at regular and optional* visits 3, 6,12,15*,18, 21*, and 24-months. Results: Three subclinical trajectories were identified for each biomarker (decreasing, stable, increasing) and symptom cluster scores (stable, slight increase/decrease, increasing). Subclinical lymphedema was identified throughout the 24-month period by each biomarker. An L-Dex increase at 15 months in the BIS group was noted. The self-report sets demonstrated contingency coefficients of 0.20 (LSIDS-A soft tissue, P =.031) and 0.19 (FACTB+4, P =.044) with the L-Dex unit change trajectories. Conclusions: These data support the need for long-term (24 months) prospective surveillance with frequent assessments (every 3 months) at least 15 months after surgery. Statistically significant convergence of symptom cluster scores with L-Dex unit change supports BIS as beneficial in the early identification of subclinical lymphedema.

Original languageEnglish (US)
Pages (from-to)5164-5173
Number of pages10
JournalCancer medicine
Volume9
Issue number14
DOIs
StatePublished - Jul 1 2020

Keywords

  • biomarkers
  • breast cancer
  • quality of life
  • survival

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

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