Abstract

e21619 Background: Hair loss and thinning have been reported by breast cancer patients treated with aromatase inhibitors (AIs); these side effects are documented to be reasons that patients discontinue their AI therapy and have been shown to be associated with a decrease in quality of life. Despite this knowledge, there is a paucity of detailed data on hair changes over the course of AI therapy. The purpose of this study was to examine hair changes and risk factors for hair loss among breast cancer patients initiating aromatase inhibitor therapy and followed for one year. Methods: Data were analyzed from a cohort of 146 breast cancer patients initiating AI therapy and followed over the first year of their AI treatment. At baseline (prior to AI therapy) and at 1-year, a questionnaire was administered that ascertained data on demographics, health behaviors, and symptoms. Detailed hair loss questions, including those pertaining to family history and specific location of hair loss, were added during the study period when study staff noticed that hair loss and thinning were commonly being reported on the symptom checklist after initiation of AI therapy. Multivariable logistic regression analysis was conducted to examine factors related to AI-attributed hair loss. Results: Among the 86 breast cancer patients who completed the detailed hair loss survey at 1-year (mean age = 63y), 43% reported experiencing hair loss after the initiation of AI therapy. The most frequently reported time period of onset of the AI-attributed hair loss was between 3 and 6 months post-AI initiation (43.2%), with 67.6% of patients noting hair loss in the mid-scalp (top of head). Factors significantly associated with AI-related hair loss at 1-year were: hair loss prior to AI therapy, having a BMI > 30 kg/m2(odds ratio (OR) = 6.5), being a current smoker (OR = 7.8), and maternal history of hair loss or hair thinning (OR = 9.1). ORs were similar when patients with prior chemotherapy were excluded. Conclusions: Hair loss is a common side effect of AI therapy that can negatively affect a patient’s quality of life and potentially lead to treatment discontinuation. Treatment options for this AI-related side effect should be explored, especially for patients who are at increased risk.

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