PURPOSE: Aromatase inhibitors (AIs) are routinely used as first-line adjuvant treatment of breast cancer in postmenopausal women with hormone receptor positive tumors. The current recommended length of treatment with an AI is 5 years. Arthralgias have been frequently cited as the primary reason for discontinuation of AI therapy. Various treatment strategies are proposed in literature, but a standardized treatment algorithm has not been established. The initial purpose of this study was to describe the incidence and management of AI-induced arthralgias in patients treated at Kellogg Cancer Center (KCC). Further evaluation led to the development and the implementation of a treatment algorithm and electronic medical record (EMR) documentation tools. METHODS: The retrospective chart review included 206 adult patients with hormone receptor positive breast cancer who were receiving adjuvant therapy with an AI. A multidisciplinary treatment team consisting of pharmacists, collaborative practice nurses, and physicians met to develop a standardized treatment algorithm and corresponding EMR documentation tool. The treatment algorithm and documentation tool were developed after the study to better monitor and proactively treat patients with AI-induced arthralgias. RESULTS/ CONCLUSIONS: The overall incidence of arthralgias at KCC was 48% (n = 98/206). Of these patients, 32% were documented as having arthralgias within the first 6 months of therapy initiation. Patients who reported AI-induced arthralgias were younger than patients who did not report AI-induced arthralgias (61 vs. 65 years, p = 0.002). There was no statistical difference in the incidence of arthralgias in patients with a history of chemotherapy (including taxane therapy) compared to those who did not receive chemotherapy (p = 0.352). Of patients presenting with AI-induced arthralgias, 41% did not have physician-managed treatment documented in the EMR. A standardized treatment algorithm and electronic chart documentation tools were then developed by the multidisciplinary team.
PURPOSE: Aromatase inhibitors (AIs) are routinely used as first-line adjuvant treatment of breast cancer in postmenopausal women with hormone receptor positive tumors. The current recommended length of treatment with an AI is 5 years. Arthralgias have been frequently cited as the primary reason for discontinuation of AI therapy. Various treatment strategies are proposed in literature, but a standardized treatment algorithm has not been established. The initial purpose of this study was to describe the incidence and management of AI-induced arthralgias in patients treated at Kellogg Cancer Center (KCC). Further evaluation led to the development and the implementation of a treatment algorithm and electronic medical record (EMR) documentation tools. METHODS: The retrospective chart review included 206 adult patients with hormone receptor positive breast cancer who were receiving adjuvant therapy with an AI. A multidisciplinary treatment team consisting of pharmacists, collaborative practice nurses, and physicians met to develop a standardized treatment algorithm and corresponding EMR documentation tool. The treatment algorithm and documentation tool were developed after the study to better monitor and proactively treat patients with AI-induced arthralgias. RESULTS/ CONCLUSIONS: The overall incidence of arthralgias at KCC was 48% (n = 98/206). Of these patients, 32% were documented as having arthralgias within the first 6 months of therapy initiation. Patients who reported AI-induced arthralgias were younger than patients who did not report AI-induced arthralgias (61 vs. 65 years, p = 0.002). There was no statistical difference in the incidence of arthralgias in patients with a history of chemotherapy (including taxane therapy) compared to those who did not receive chemotherapy (p = 0.352). Of patients presenting with AI-induced arthralgias, 41% did not have physician-managed treatment documented in the EMR. A standardized treatment algorithm and electronic chart documentation tools were then developed by the multidisciplinary team.
Authors: Bruce Brockstein; Thomas Hensing; George W Carro; Jennifer Obel; Janardan Khandekar; Lynne Kaminer; Christine Van De Wege; Robert de Wilton Marsh Journal: J Oncol Pract Date: 2011-07 Impact factor: 3.840
Authors: Andrew Ernst; Kathryn E Flynn; Elizabeth M Weil; Bradley H Crotty; Sailaja Kamaraju; Nicole Fergestrom; Joan Neuner Journal: Clin Breast Cancer Date: 2020-07-22 Impact factor: 3.225
Authors: Tara Hyder; Christopher C Marino; Sasha Ahmad; Azadeh Nasrazadani; Adam M Brufsky Journal: Front Endocrinol (Lausanne) Date: 2021-07-27 Impact factor: 5.555