Osteoporosis Epidemiology Using International Cohorts
Osteoporosis Epidemiology Using International Cohorts
Purpose of reviewThe field of osteoporosis research has been active for the past 20 years and has allowed significant advancement in the management of osteoporosis. This review will give an overview of the latest data from international cohorts that relate to current and recent osteoporosis research.Recent findingsThe clinical diagnosis of osteoporosis relies heavily on bone mineral density (BMD) measured at femoral neck or spine and although BMD has excellent predictive value for future fractures, fracture risk assessment has evolved over the years, resulting in the birth of fracture prediction tools. Fracture risk factors not currently featured in these tools are being considered for inclusion, including imminent risk fracture following a sentinel fracture, number of falls, and previous vertebral fractures. Data from groups with comorbidities such as chronic obstructive pulmonary disease are helping us understand how to best manage patients with multiple comorbidities. Finally, the prevalence of vertebral fracture in the older general population and other selected populations has been explored, alongside the global burden of osteoporosis and its consequences.SummaryOur understanding of osteoporosis continues to expand, but knowledge gaps remain.
cohort, comorbidities, epidemiology, fracture, osteoporosis
387-393
Zhang, Jean
437abe90-46ac-46de-8183-042c36ed3398
Dennison, Elaine
ee647287-edb4-4392-8361-e59fd505b1d1
Prieto-Alhambra, Daniel
e596722a-2f01-4201-bd9d-be3e180e76a9
1 July 2020
Zhang, Jean
437abe90-46ac-46de-8183-042c36ed3398
Dennison, Elaine
ee647287-edb4-4392-8361-e59fd505b1d1
Prieto-Alhambra, Daniel
e596722a-2f01-4201-bd9d-be3e180e76a9
Zhang, Jean, Dennison, Elaine and Prieto-Alhambra, Daniel
(2020)
Osteoporosis Epidemiology Using International Cohorts.
Current Opinion in Rheumatology, 32 (4), .
(doi:10.1097/BOR.0000000000000722).
Abstract
Purpose of reviewThe field of osteoporosis research has been active for the past 20 years and has allowed significant advancement in the management of osteoporosis. This review will give an overview of the latest data from international cohorts that relate to current and recent osteoporosis research.Recent findingsThe clinical diagnosis of osteoporosis relies heavily on bone mineral density (BMD) measured at femoral neck or spine and although BMD has excellent predictive value for future fractures, fracture risk assessment has evolved over the years, resulting in the birth of fracture prediction tools. Fracture risk factors not currently featured in these tools are being considered for inclusion, including imminent risk fracture following a sentinel fracture, number of falls, and previous vertebral fractures. Data from groups with comorbidities such as chronic obstructive pulmonary disease are helping us understand how to best manage patients with multiple comorbidities. Finally, the prevalence of vertebral fracture in the older general population and other selected populations has been explored, alongside the global burden of osteoporosis and its consequences.SummaryOur understanding of osteoporosis continues to expand, but knowledge gaps remain.
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More information
Accepted/In Press date: 8 May 2020
e-pub ahead of print date: July 2020
Published date: 1 July 2020
Additional Information:
Funding Information:
J.Z.’s work is supported by a BRC-NIHR grant.
Funding Information:
DPA is funded through a National Institute for Health Research (NIHR) Senior Research Fellowship (Grant number SRF-2018-11-ST2-004). The views expressed in this publication are those of the author(s) and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health.
Publisher Copyright:
© 2020 Lippincott Williams and Wilkins. All rights reserved.
Keywords:
cohort, comorbidities, epidemiology, fracture, osteoporosis
Identifiers
Local EPrints ID: 441256
URI: http://eprints.soton.ac.uk/id/eprint/441256
ISSN: 1040-8711
PURE UUID: a482081c-1ee7-425a-ad90-aa7b06b47309
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Date deposited: 08 Jun 2020 16:30
Last modified: 17 Mar 2024 05:37
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Author:
Jean Zhang
Author:
Daniel Prieto-Alhambra
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