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Current and future advances in practice: aromatase inhibitor–induced arthralgia

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Abstract Aromatase inhibitors (AIs) have shown great success as adjuvant therapy for post-menopausal women with hormone receptor–positive breast cancers. AI-induced arthralgia (AIA) is a frequent AI toxicity contributing to non-adherence and discontinuation. This review aims to understand current knowledge of AIA. The mean incidence of AIA was 39.1% and the mean discontinuation of AI therapy due to AIA was 9.3%. Most of the AIAs were non-inflammatory. A shorter time since the last menstrual period and pre-existing joint pain were risk factors. Vitamin D3 supplementation may be a preventative measure and treatment with duloxetine, acupuncture and/or exercise is supported by large randomized controlled trials. There was consistent improvement in AIAs with switching to an alternate AI, and this could additionally allow continuation of cancer treatment with AI. Further research is needed to identify predictive biomarkers, better characterize AIA subcategories and study more reliable therapeutic options.
Title: Current and future advances in practice: aromatase inhibitor–induced arthralgia
Description:
Abstract Aromatase inhibitors (AIs) have shown great success as adjuvant therapy for post-menopausal women with hormone receptor–positive breast cancers.
AI-induced arthralgia (AIA) is a frequent AI toxicity contributing to non-adherence and discontinuation.
This review aims to understand current knowledge of AIA.
The mean incidence of AIA was 39.
1% and the mean discontinuation of AI therapy due to AIA was 9.
3%.
Most of the AIAs were non-inflammatory.
A shorter time since the last menstrual period and pre-existing joint pain were risk factors.
Vitamin D3 supplementation may be a preventative measure and treatment with duloxetine, acupuncture and/or exercise is supported by large randomized controlled trials.
There was consistent improvement in AIAs with switching to an alternate AI, and this could additionally allow continuation of cancer treatment with AI.
Further research is needed to identify predictive biomarkers, better characterize AIA subcategories and study more reliable therapeutic options.

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