Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/48047
Title: How to optimize the use of anti-osteoporotic medication in clinical practice?
Authors: Lems, Willem F.
GEUSENS, Piet 
VAN DEN BERGH, Joop 
Issue Date: 2025
Publisher: TAYLOR & FRANCIS LTD
Source: Expert opinion on pharmacotherapy, 26 (17)
Status: Early view
Abstract: IntroductionPharmacologic treatment to reduce the risk of fractures focusses on the bone component of fracture risk. We present a narrative review for clinicians to optimize drug treatments in six frequently occurring clinical situations with a high/very high fracture risk.Areas coveredWe reviewed drug treatment in postmenopausal women according to their fracture risk before a clinical fracture, after a recent clinical non-hip and after a hip fracture, and in GC users and the treatment targets to optimize the choice and sequence of drugs and to develop lifelong follow-up and treatment strategies. New data are available to guide the choice of start and sequence of anti-resorptives and osteo-anabolics according to the level of fracture risk in postmenopausal women, in patients treated with glucocorticoids, after a hip fracture and in patients treated with a treat to target strategy.Expert opinionIntegrating FRAX, the level of aBMD, a detailed fracture history including imaging of the spine, and additional risk factors contributes to decide on treatment with antiresorptive-treatment (in high-risk subjects) and osteoanabolic-treatment (in very high-risk subjects) and their sequence to achieve a target with a low fracture risk which needs lifelong follow up for further diagnostic and treatment decisions.
Notes: Lems, WF (corresponding author), Amsterdam UMC, Dept Rheumatol, NL-AZ 1105 Amsterdam, Netherlands.
wf.lems@amsterdamumc.nl
Keywords: Osteoporosis;fractures;treat to target;glucocorticoids;long-term treatment;romosozumab;denosumab;zoledronic acid
Document URI: http://hdl.handle.net/1942/48047
ISSN: 1465-6566
e-ISSN: 1744-7666
DOI: 10.1080/14656566.2025.2594044
ISI #: 001632933100001
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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