Literature DB >> 33438038

Simulated effects of early menopausal bone mineral density preservation on long-term fracture risk: a feasibility study.

E O Billington1,2, W D Leslie3, J P Brown4, J C Prior5, S N Morin6, C S Kovacs7, S M Kaiser8, B C Lentle9, T Anastassiades10, T Towheed10, G A Kline11,12.   

Abstract

Prevention of early menopausal bone loss may reduce the future burden of osteoporosis. In this modelling exercise, an osteoporosis prevention strategy involving 5-year infusions of zoledronic acid, beginning early in menopause, reduced long-term fracture risk and the proportion of aging women with femoral neck densitometric osteoporosis. This strategy warrants further evaluation.
INTRODUCTION: Preventing early menopausal bone loss may substantially reduce the future burden of osteoporosis. We modelled the effects of infrequent zoledronic acid infusions on long-term fracture risk.
METHODS: Data from the Canadian Multicentre Osteoporosis Study (CaMos) were used to determine the expected natural history of femoral neck areal bone mineral density (BMD) and fracture risk (using FRAX®) from ages 50-80 for women with no antiresorptive drug exposures. We modelled the effects of three infusions of zoledronic acid (at ages 50, 55, 60) on long-term fracture risk, assuming this intervention would preserve BMD until age 65 years, followed by losses mirroring early menopausal BMD loss.
RESULTS: At age 65, untreated women and zoledronic acid recipients had expected mean (SD) femoral neck T-scores of - 1.5(1.0) and - 0.8(1.0), 10-year major osteoporotic fracture (MOF) risks of 9.8%(5.0) and 8.0%(3.7) and hip fracture risks of 1.7%(2.4) and 0.8%(1.2), respectively. At age 80, untreated women and zoledronic acid recipients had expected femoral neck T-scores of - 1.9(0.9) and - 1.4(0.9), MOF risks of 17.9%(8.2) and 14.9%(6.4) and hip fracture risks of 6.3%(6.2) and 4.4%(4.5), respectively. The expected proportion of women with femoral neck T-score ≤ - 2.5 was 14.9% for untreated women and 3.8% for zoledronic acid recipients at age 65, increasing to 28.1% and 12.0%, respectively, at age 80. Numbers-needed-to-treat to prevent one case of densitometric osteoporosis were 9 at age 65 and 5 at age 80.
CONCLUSION: Infrequent infusions of zoledronic acid, initiated early in menopause, are expected to reduce long-term fracture risk and result in a substantial reduction in the proportion of women with densitometric osteoporosis after age 65.

Entities:  

Keywords:  Bisphosphonate; Bone mineral density; FRAX; Fracture risk; Osteoporosis; Prevention

Mesh:

Year:  2021        PMID: 33438038     DOI: 10.1007/s00198-021-05826-5

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  37 in total

Review 1.  Development and use of FRAX in osteoporosis.

Authors:  J A Kanis; E V McCloskey; H Johansson; A Oden; O Ström; F Borgström
Journal:  Osteoporos Int       Date:  2010-05-13       Impact factor: 4.507

2.  2010 clinical practice guidelines for the diagnosis and management of osteoporosis in Canada: summary.

Authors:  Alexandra Papaioannou; Suzanne Morin; Angela M Cheung; Stephanie Atkinson; Jacques P Brown; Sidney Feldman; David A Hanley; Anthony Hodsman; Sophie A Jamal; Stephanie M Kaiser; Brent Kvern; Kerry Siminoski; William D Leslie
Journal:  CMAJ       Date:  2010-10-12       Impact factor: 8.262

Review 3.  Osteoporosis treatment: recent developments and ongoing challenges.

Authors:  Sundeep Khosla; Lorenz C Hofbauer
Journal:  Lancet Diabetes Endocrinol       Date:  2017-07-07       Impact factor: 32.069

4.  Comparison of treatment strategies and thresholds for optimizing fracture prevention in Canada: a simulation analysis.

Authors:  William D Leslie; Suzanne N Morin; Lisa M Lix; Neil Binkley
Journal:  Arch Osteoporos       Date:  2019-12-19       Impact factor: 2.617

Review 5.  Epidemiology of osteoporosis and osteoporotic fractures.

Authors:  S R Cummings; J L Kelsey; M C Nevitt; K J O'Dowd
Journal:  Epidemiol Rev       Date:  1985       Impact factor: 6.222

Review 6.  A systematic review of intervention thresholds based on FRAX : A report prepared for the National Osteoporosis Guideline Group and the International Osteoporosis Foundation.

Authors:  John A Kanis; Nicholas C Harvey; Cyrus Cooper; Helena Johansson; Anders Odén; Eugene V McCloskey
Journal:  Arch Osteoporos       Date:  2016-07-27       Impact factor: 2.617

7.  Estimates of the proportion of older white women who would be recommended for pharmacologic treatment by the new U.S. National Osteoporosis Foundation Guidelines.

Authors:  Meghan G Donaldson; Peggy M Cawthon; Li-Yung Lui; John T Schousboe; Kristine E Ensrud; Brent C Taylor; Jane A Cauley; Teresa A Hillier; Dennis M Black; Doug C Bauer; Steven R Cummings
Journal:  J Bone Miner Res       Date:  2009-04       Impact factor: 6.741

8.  Case finding for the management of osteoporosis with FRAX--assessment and intervention thresholds for the UK.

Authors:  J A Kanis; E V McCloskey; H Johansson; O Strom; F Borgstrom; A Oden
Journal:  Osteoporos Int       Date:  2008-08-28       Impact factor: 4.507

9.  Clinician's Guide to Prevention and Treatment of Osteoporosis.

Authors:  F Cosman; S J de Beur; M S LeBoff; E M Lewiecki; B Tanner; S Randall; R Lindsay
Journal:  Osteoporos Int       Date:  2014-08-15       Impact factor: 4.507

10.  UK clinical guideline for the prevention and treatment of osteoporosis.

Authors:  J Compston; A Cooper; C Cooper; N Gittoes; C Gregson; N Harvey; S Hope; J A Kanis; E V McCloskey; K E S Poole; D M Reid; P Selby; F Thompson; A Thurston; N Vine
Journal:  Arch Osteoporos       Date:  2017-04-19       Impact factor: 2.617

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  2 in total

1.  Mineral-rich water consumption as a non-pharmacological intervention for early menopausal bone mineral density preservation and reduction of long-term fracture risk: comment on Billington et al. Osteoporos Int. 2021;32(7):1313-20.

Authors:  M Bernardes; R Monteiro; M J Martins
Journal:  Osteoporos Int       Date:  2022-01-12       Impact factor: 4.507

2.  Identification of combined biomarkers for predicting the risk of osteoporosis using machine learning.

Authors:  Zhenlong Zheng; Xianglan Zhang; Bong-Kyeong Oh; Ki-Yeol Kim
Journal:  Aging (Albany NY)       Date:  2022-05-17       Impact factor: 5.955

  2 in total

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