Epidemiological burden of postmenopausal osteoporosis in Italy from 2010 to 2020: estimations from a disease model
Epidemiological burden of postmenopausal osteoporosis in Italy from 2010 to 2020: estimations from a disease model
The article describes the adaptation of a model to estimate the burden of postmenopausal osteoporosis in women aged 50 years and over in Italy between 2010 and 2020. For this purpose, a validated postmenopausal osteoporosis disease model developed for Sweden was adapted to Italy. For each year of the study, the ‘incident cohort’ (women experiencing a first osteoporotic fracture) was identified and run through a Markov model using 1-year cycles until 2020. Health states were based on the number of fractures and deaths. Fracture by site (hip, clinical vertebral, non-hip non-vertebral) was tracked for each health state. Transition probabilities reflected fracture site-specific risk of death and subsequent fractures. Model inputs specific to Italy included population size and life tables from 1970 to 2020, incidence of hip fracture and BMD by age in the general population (mean and standard deviation). The model estimated that the number of postmenopausal osteoporotic women would increase from 3.3 million to 3.7 million between 2010 and 2020 (+14.3 %). Assuming unchanged incidence rates by age group over time, the model predicted the overall number of osteoporotic fractures to increase from 285.0 to 335.8 thousand fractures between 2010 and 2020 (+17.8 %). The estimated expected increases in hip, vertebral and non-hip non-vertebral fractures were 22.3, 17.2 and 16.3 %, respectively. Due to demographic changes, the burden of fractures is expected to increase markedly by 2020
419-427
Piscitelli, P.
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Brandi, M.
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Cawston, H.
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Gauthier, A.
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Kanis, J.A.
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Compston, J.
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Borgstrom, F.
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Cooper, C.
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McCloskey, E.
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November 2014
Piscitelli, P.
81bbfbad-6992-4ca7-84dd-5b30b4468b29
Brandi, M.
4319c387-88ec-49dc-a0f3-9faa6cbb8444
Cawston, H.
cb858260-3df2-44b0-9c5d-9f5ca8316d94
Gauthier, A.
eaf7c1cd-495d-4352-bb14-d431c9241fcf
Kanis, J.A.
8da04a36-08a7-4310-b4b4-a6d432439587
Compston, J.
b64c0d0e-97dd-44c8-97ba-f756f0bc966d
Borgstrom, F.
c8fa813a-a664-4de4-bbc5-4ab1ca92ef55
Cooper, C.
e05f5612-b493-4273-9b71-9e0ce32bdad6
McCloskey, E.
5211de37-303a-42f8-b24b-00c475264f78
Piscitelli, P., Brandi, M., Cawston, H., Gauthier, A., Kanis, J.A., Compston, J., Borgstrom, F., Cooper, C. and McCloskey, E.
(2014)
Epidemiological burden of postmenopausal osteoporosis in Italy from 2010 to 2020: estimations from a disease model.
Calcified Tissue International, 95 (5), .
(doi:10.1007/s00223-014-9910-3.).
(PMID:25200337)
Abstract
The article describes the adaptation of a model to estimate the burden of postmenopausal osteoporosis in women aged 50 years and over in Italy between 2010 and 2020. For this purpose, a validated postmenopausal osteoporosis disease model developed for Sweden was adapted to Italy. For each year of the study, the ‘incident cohort’ (women experiencing a first osteoporotic fracture) was identified and run through a Markov model using 1-year cycles until 2020. Health states were based on the number of fractures and deaths. Fracture by site (hip, clinical vertebral, non-hip non-vertebral) was tracked for each health state. Transition probabilities reflected fracture site-specific risk of death and subsequent fractures. Model inputs specific to Italy included population size and life tables from 1970 to 2020, incidence of hip fracture and BMD by age in the general population (mean and standard deviation). The model estimated that the number of postmenopausal osteoporotic women would increase from 3.3 million to 3.7 million between 2010 and 2020 (+14.3 %). Assuming unchanged incidence rates by age group over time, the model predicted the overall number of osteoporotic fractures to increase from 285.0 to 335.8 thousand fractures between 2010 and 2020 (+17.8 %). The estimated expected increases in hip, vertebral and non-hip non-vertebral fractures were 22.3, 17.2 and 16.3 %, respectively. Due to demographic changes, the burden of fractures is expected to increase markedly by 2020
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Published date: November 2014
Organisations:
Human Development & Health
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Local EPrints ID: 370052
URI: http://eprints.soton.ac.uk/id/eprint/370052
ISSN: 0171-967X
PURE UUID: 5e4761e8-173d-4ebc-bee4-98c3127e51c6
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Date deposited: 20 Oct 2014 11:33
Last modified: 18 Mar 2024 02:45
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Author:
P. Piscitelli
Author:
M. Brandi
Author:
H. Cawston
Author:
A. Gauthier
Author:
J.A. Kanis
Author:
J. Compston
Author:
F. Borgstrom
Author:
E. McCloskey
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