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Effect of co-morbidities on fracture risk: findings from the Global Longitudinal Study of Osteoporosis in Women (GLOW)

Effect of co-morbidities on fracture risk: findings from the Global Longitudinal Study of Osteoporosis in Women (GLOW)
Effect of co-morbidities on fracture risk: findings from the Global Longitudinal Study of Osteoporosis in Women (GLOW)
Introduction: greater awareness of the relationship between co-morbidities and fracture risk may improve fracture-prediction algorithms such as FRAX.

Materials and methods: we used a large, multinational cohort study (GLOW) to investigate the effect of co-morbidities on fracture risk. Women completed a baseline questionnaire detailing past medical history, including co-morbidity history and fracture. They were re-contacted annually to determine incident clinical fractures. A co-morbidity index, defined as number of baseline co-morbidities, was derived. The effect of adding the co-morbidity index to FRAX risk factors on fracture prevention was examined using chi-squared tests, the May–Hosmer test, c index and comparison of predicted versus observed fracture rates.

Results: of 52,960 women with follow-up data, enrolled between October 2006 and February 2008, 3224 (6.1%) sustained an incident fracture over 2 years. All recorded co-morbidities were significantly associated with fracture, except for high cholesterol, hypertension, celiac disease, and cancer. The strongest association was seen with Parkinson's disease (age-adjusted hazard ratio [HR]: 2.2; 95% CI: 1.6–3.1; P < 0.001). Co-morbidities that contributed most to fracture prediction in a Cox regression model with FRAX risk factors as additional predictors were: Parkinson's disease, multiple sclerosis, chronic obstructive pulmonary disease, osteoarthritis, and heart disease.

Conclusion: co-morbidities, as captured in a co-morbidity index, contributed significantly to fracture risk in this study population. Parkinson's disease carried a particularly high risk of fracture; and increasing co-morbidity index was associated with increasing fracture risk. Addition of co-morbidity index to FRAX risk factors improved fracture prediction
8756-3282
1288-1293
Dennison, E.M.
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Compston, J.E.
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Flahive, J.
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Siris, E.S.
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Gehlbach, S.H.
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Adachi, J.D.
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Boonen, Steven
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Chapurlat, R.
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Diez-Perez, A.
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Anderson, F.A.
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Hooven, F.H.
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Lacroix, A.Z.
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Lindsey, R.
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Netelenbos, J.C.
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Pfeilschifter, J.
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Rossini, M.
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Roux, C.
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Saag, K.
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Sambrook, P.
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Silverman, S.
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Watts, N.B.
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Greenspan, S.L.
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Premaor, M.
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Cooper, C.
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Dennison, E.M.
ee647287-edb4-4392-8361-e59fd505b1d1
Compston, J.E.
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Flahive, J.
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Siris, E.S.
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Gehlbach, S.H.
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Adachi, J.D.
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Boonen, Steven
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Chapurlat, R.
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Diez-Perez, A.
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Anderson, F.A.
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Hooven, F.H.
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Lacroix, A.Z.
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Lindsey, R.
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Netelenbos, J.C.
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Pfeilschifter, J.
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Rossini, M.
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Roux, C.
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Saag, K.
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Sambrook, P.
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Silverman, S.
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Watts, N.B.
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Greenspan, S.L.
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Premaor, M.
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Cooper, C.
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Dennison, E.M., Compston, J.E., Flahive, J., Siris, E.S., Gehlbach, S.H., Adachi, J.D., Boonen, Steven, Chapurlat, R., Diez-Perez, A., Anderson, F.A., Hooven, F.H., Lacroix, A.Z., Lindsey, R., Netelenbos, J.C., Pfeilschifter, J., Rossini, M., Roux, C., Saag, K., Sambrook, P., Silverman, S., Watts, N.B., Greenspan, S.L., Premaor, M. and Cooper, C. (2012) Effect of co-morbidities on fracture risk: findings from the Global Longitudinal Study of Osteoporosis in Women (GLOW). Bone, 50 (6), 1288-1293. (doi:10.1016/j.bone.2012.02.639). (PMID:22426498)

Record type: Article

Abstract

Introduction: greater awareness of the relationship between co-morbidities and fracture risk may improve fracture-prediction algorithms such as FRAX.

Materials and methods: we used a large, multinational cohort study (GLOW) to investigate the effect of co-morbidities on fracture risk. Women completed a baseline questionnaire detailing past medical history, including co-morbidity history and fracture. They were re-contacted annually to determine incident clinical fractures. A co-morbidity index, defined as number of baseline co-morbidities, was derived. The effect of adding the co-morbidity index to FRAX risk factors on fracture prevention was examined using chi-squared tests, the May–Hosmer test, c index and comparison of predicted versus observed fracture rates.

Results: of 52,960 women with follow-up data, enrolled between October 2006 and February 2008, 3224 (6.1%) sustained an incident fracture over 2 years. All recorded co-morbidities were significantly associated with fracture, except for high cholesterol, hypertension, celiac disease, and cancer. The strongest association was seen with Parkinson's disease (age-adjusted hazard ratio [HR]: 2.2; 95% CI: 1.6–3.1; P < 0.001). Co-morbidities that contributed most to fracture prediction in a Cox regression model with FRAX risk factors as additional predictors were: Parkinson's disease, multiple sclerosis, chronic obstructive pulmonary disease, osteoarthritis, and heart disease.

Conclusion: co-morbidities, as captured in a co-morbidity index, contributed significantly to fracture risk in this study population. Parkinson's disease carried a particularly high risk of fracture; and increasing co-morbidity index was associated with increasing fracture risk. Addition of co-morbidity index to FRAX risk factors improved fracture prediction

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Published date: June 2012
Organisations: Faculty of Health Sciences

Identifiers

Local EPrints ID: 338166
URI: http://eprints.soton.ac.uk/id/eprint/338166
ISSN: 8756-3282
PURE UUID: 422d0389-02c1-4438-9ea5-fd28a7d00077
ORCID for E.M. Dennison: ORCID iD orcid.org/0000-0002-3048-4961
ORCID for C. Cooper: ORCID iD orcid.org/0000-0003-3510-0709

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Date deposited: 10 May 2012 13:31
Last modified: 18 Mar 2024 02:45

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Contributors

Author: E.M. Dennison ORCID iD
Author: J.E. Compston
Author: J. Flahive
Author: E.S. Siris
Author: S.H. Gehlbach
Author: J.D. Adachi
Author: Steven Boonen
Author: R. Chapurlat
Author: A. Diez-Perez
Author: F.A. Anderson
Author: F.H. Hooven
Author: A.Z. Lacroix
Author: R. Lindsey
Author: J.C. Netelenbos
Author: J. Pfeilschifter
Author: M. Rossini
Author: C. Roux
Author: K. Saag
Author: P. Sambrook
Author: S. Silverman
Author: N.B. Watts
Author: S.L. Greenspan
Author: M. Premaor
Author: C. Cooper ORCID iD

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