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2. A new FRAX model for Brazil

Author

Albergaria, B. H., Zerbini, C. A. F., Lazaretti-Castro, M., Eis, S. R., Vilaca, T., Johansson, H., Harvey, N. C., Liu, E., Vandenput, L., Lorentzon, M., Schini, M., McCloskey, E., and Kanis, J. A.

Published
2023
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4. Update of the fracture risk prediction tool FRAX: a systematic review of potential cohorts and analysis plan

Author

Vandenput, L., Johansson, H., McCloskey, E. V., Liu, E., Åkesson, K. E., Anderson, F. A., Azagra, R., Bager, C. L., Beaudart, C., Bischoff-Ferrari, H. A., Biver, E., Bruyère, O., Cauley, J. A., Center, J. R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C. J., Cummings, S. R., da Silva, J. A. P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A. B., Eisman, J. A., Elders, P. J. M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C.-C., Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R. J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M. K., Khosla, S., Kiel, D. P., Koh, W.-P., Koromani, F., Kotowicz, M. A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., Mellström, D., Merlijn, T., Nordström, A., Nordström, P., O’Neill, T. W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E. S., Pasco, J. A., Rivadeneira, F., Schei, B., Schott, A.-M., Shiroma, E. J., Siggeirsdottir, K., Simonsick, E. M., Sornay-Rendu, E., Sund, R., Swart, K. M. A., Szulc, P., Tamaki, J., Torgerson, D. J., van Schoor, N. M., van Staa, T. P., Vila, J., Wareham, N. J., Wright, N. C., Yoshimura, N., Zillikens, M. C., Zwart, M., Harvey, N. C., Lorentzon, M., Leslie, W. D., and Kanis, J. A.

Published
2022
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7. Is it time to consider population screening for fracture risk in postmenopausal women? A position paper from the International Osteoporosis Foundation Epidemiology/Quality of Life Working Group

Author

Chotiyarnwong, P., McCloskey, E. V., Harvey, N. C., Lorentzon, M., Prieto-Alhambra, D., Abrahamsen, B., Adachi, J. D., Borgström, F., Bruyere, O., Carey, J. J., Clark, P., Cooper, C., Curtis, E. M., Dennison, E., Diaz-Curiel, M., Dimai, H. P., Grigorie, D., Hiligsmann, M., Khashayar, P., Lewiecki, E. M., Lips, P., Lorenc, R. S., Ortolani, S., Papaioannou, A., Silverman, S., Sosa, M., Szulc, P., Ward, K. A., Yoshimura, N., and Kanis, J. A.

Published
2022
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10. Fracture-related hospitalisations in de novo advanced or metastatic hormone-sensitive prostate cancer: Secondary analysis of the STAMPEDE abiraterone acetate plus prednisone +/- enzalutamide and M1|RT phase 3 trials using health systems data

Author

Jones, C., primary, Dutey-Magni, P., additional, Murphy, L., additional, Murray, M., additional, Brown, J., additional, Mccloskey, E., additional, Parmar, M.K.B., additional, Parker, C., additional, Attard, G., additional, James, N.D., additional, Sydes, M.R., additional, Brown, L.C., additional, Clarke, N.W., additional, and Sachdeva, A., additional

Published
2024
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17. A meta-analysis of previous falls and subsequent fracture risk in cohort studies

Author

Vandenput, L., Johansson, H., McCloskey, E. V., Liu, E., Schini, M., Åkesson, K.E., Anderson, F. A., Azagra, R., Bager, C. L., Beaudart, C., Bischoff-Ferrari, H. A., Biver, E., Bruyère, O., Cauley, J. A., Center, J. R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C. J., Cummings, S. R., da Silva, J. A. P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A. B., Eisman, J. A., Elders, P. J. M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C. -C, Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R. J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M. K., Khosla, S., Kiel, D. P., Koh, W. -P, Koromani, F., Kotowicz, M. A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., McGuigan, F. E. A., Mellström, D., Merlijn, T., Nguyen, T. V., Nordström, Anna, Nordström, P., O’Neill, T. W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E. S., Pasco, J. A., Rivadeneira, F., Schott, A. -M, Shiroma, E. J., Siggeirsdottir, K., Simonsick, E. M., Sornay-Rendu, E., Sund, R., Swart, K. M. A., Szulc, P., Tamaki, J., Torgerson, D. J., van Schoor, N. M., van Staa, T. P., Vila, J., Wareham, N. J., Wright, N. C., Yoshimura, N., Zillikens, M. C., Zwart, M., Harvey, N. C., Lorentzon, M., Leslie, W. D., Kanis, J. A., Vandenput, L., Johansson, H., McCloskey, E. V., Liu, E., Schini, M., Åkesson, K.E., Anderson, F. A., Azagra, R., Bager, C. L., Beaudart, C., Bischoff-Ferrari, H. A., Biver, E., Bruyère, O., Cauley, J. A., Center, J. R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C. J., Cummings, S. R., da Silva, J. A. P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A. B., Eisman, J. A., Elders, P. J. M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C. -C, Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R. J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M. K., Khosla, S., Kiel, D. P., Koh, W. -P, Koromani, F., Kotowicz, M. A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., McGuigan, F. E. A., Mellström, D., Merlijn, T., Nguyen, T. V., Nordström, Anna, Nordström, P., O’Neill, T. W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E. S., Pasco, J. A., Rivadeneira, F., Schott, A. -M, Shiroma, E. J., Siggeirsdottir, K., Simonsick, E. M., Sornay-Rendu, E., Sund, R., Swart, K. M. A., Szulc, P., Tamaki, J., Torgerson, D. J., van Schoor, N. M., van Staa, T. P., Vila, J., Wareham, N. J., Wright, N. C., Yoshimura, N., Zillikens, M. C., Zwart, M., Harvey, N. C., Lorentzon, M., Leslie, W. D., and Kanis, J. A.

Abstract

Summary: The relationship between self-reported falls and fracture risk was estimated in an international meta-analysis of individual-level data from 46 prospective cohorts. Previous falls were associated with an increased fracture risk in women and men and should be considered as an additional risk factor in the FRAX® algorithm. Introduction: Previous falls are a well-documented risk factor for subsequent fracture but have not yet been incorporated into the FRAX algorithm. The aim of this study was to evaluate, in an international meta-analysis, the association between previous falls and subsequent fracture risk and its relation to sex, age, duration of follow-up, and bone mineral density (BMD). Methods: The resource comprised 906,359 women and men (66.9% female) from 46 prospective cohorts. Previous falls were uniformly defined as any fall occurring during the previous year in 43 cohorts; the remaining three cohorts had a different question construct. The association between previous falls and fracture risk (any clinical fracture, osteoporotic fracture, major osteoporotic fracture, and hip fracture) was examined using an extension of the Poisson regression model in each cohort and each sex, followed by random-effects meta-analyses of the weighted beta coefficients. Results: Falls in the past year were reported in 21.4% of individuals. During a follow-up of 9,102,207 person-years, 87,352 fractures occurred of which 19,509 were hip fractures. A previous fall was associated with a significantly increased risk of any clinical fracture both in women (hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.33–1.51) and men (HR 1.53, 95% CI 1.41–1.67). The HRs were of similar magnitude for osteoporotic, major osteoporotic fracture, and hip fracture. Sex significantly modified the association between previous fall and fracture risk, with predictive values being higher in men than in women (e.g., for major osteoporotic fracture, HR 1.53 (95% CI 1.27–1.84) in men vs. HR 1.32

Published
2024
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27. Epidemiology of hip fracture in Botswana

Author

Kebaetse, M., Nkhwa, S., Mogodi, M., Masunge, J., Gureja, Y. P., Ramabu, M., Mmopelwa, T., Sharif, I., Orford, A., Johansson, H., Harvey, N. C., McCloskey, E. V., Cauley, J. A., and Kanis, J. A.

Published
2021
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29. Algorithm for the management of patients at low, high and very high risk of osteoporotic fractures

Author

Kanis, J. A., Harvey, N. C., McCloskey, E., Bruyère, O., Veronese, N., Lorentzon, M., Cooper, C., Rizzoli, R., Adib, G., Al-Daghri, N., Campusano, C., Chandran, M., Dawson-Hughes, B., Javaid, K., Jiwa, F., Johansson, H., Lee, J. K., Liu, E., Messina, D., Mkinsi, O., Pinto, D., Prieto-Alhambra, D., Saag, K., Xia, W., Zakraoui, L., and Reginster, J. -Y.

Published
2020
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31. Impact of Femoral Neck and Lumbar Spine BMD Discordances on FRAX Probabilities in Women: A Meta-analysis of International Cohorts

Author

Johansson, H, Kanis, JA, Odén, A, Leslie, WD, Fujiwara, S, Glüer, CC, Kroger, H, LaCroix, AZ, Lau, E, Melton, LJ, Eisman, JA, O’Neill, TW, Goltzman, D, Reid, DM, and McCloskey, E

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Osteoporosis, Musculoskeletal, Adult, Aged, Aged, 80 and over, Bone Density, Female, Femur Neck, Humans, Lumbar Vertebrae, Middle Aged, Osteoporotic Fractures, Radiography, Risk, Biochemistry and Cell Biology, Biomedical Engineering, Endocrinology & Metabolism, Clinical sciences, Biomedical engineering
Abstract

There are occasional marked discordances in BMD T-scores at the lumbar spine (LS) and femoral neck (FN). We investigated whether such discordances could contribute independently to fracture prediction using FRAX. We studied 21,158 women, average age 63 years, from 10 prospective cohorts with baseline FRAX variables as well as FN and LS BMD. Incident fractures were collected by self-report and/or radiographic reports. Extended Poisson regression examined the relationship between differences in LS and FN T-scores (ΔLS-FN) and fracture risk, adjusted for age, time since baseline and other factors including FRAX 10-year probability for major osteoporotic fracture calculated using FN BMD. To examine the effect of an adjustment for ΔLS-FN on reclassification, women were separated into risk categories by their FRAX major fracture probability. High risk was classified using two approaches: being above the National Osteoporosis Guideline Group intervention threshold or, separately, being in the highest third of each cohort. The absolute ΔLS-FN was greater than 2 SD for 2.5% of women and between 1 and 2 SD for 21%. ΔLS-FN was associated with a significant risk of fracture adjusted for baseline FRAX (HR per SD change = 1.09; 95% CI = 1.04-1.15). In reclassification analyses, only 2.3-3.2% of the women moved to a higher or lower risk category when using FRAX with ΔLS-FN compared with FN-derived FRAX alone. Adjustment of estimated fracture risk for a large LS/FN discrepancy (>2SD) impacts to a large extent on only a relatively small number of individuals. More moderate (1-2SD) discordances in FN and LS T-scores have a small impact on FRAX probabilities. This might still improve clinical decision-making, particularly in women with probabilities close to an intervention threshold.

Published
2014

40. The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women

Author

Kanis, JA, Oden, A, Johnell, O, Johansson, H, De Laet, C, Brown, J, Burckhardt, P, Cooper, C, Christiansen, C, Cummings, S, Eisman, JA, Fujiwara, S, Glüer, C, Goltzman, D, Hans, D, Krieg, M-A, La Croix, A, McCloskey, E, Mellstrom, D, Melton, LJ, Pols, H, Reeve, J, Sanders, K, Schott, A-M, Silman, A, Torgerson, D, van Staa, T, Watts, NB, and Yoshimura, N

Subjects
Osteoporosis, Clinical Research, Physical Injury - Accidents and Adverse Effects, Aging, Injuries and accidents, Musculoskeletal, Age Factors, Aged, Aged, 80 and over, Area Under Curve, Bone Density, Female, Fractures, Spontaneous, Hip Fractures, Humans, Male, Middle Aged, Osteoporosis, Postmenopausal, Risk Assessment, Risk Factors, Biomedical Engineering, Clinical Sciences, Public Health and Health Services, Endocrinology & Metabolism
Abstract

UnlabelledBMD and clinical risk factors predict hip and other osteoporotic fractures. The combination of clinical risk factors and BMD provide higher specificity and sensitivity than either alone. INTRODUCTION AND HYPOTHESES: To develop a risk assessment tool based on clinical risk factors (CRFs) with and without BMD.MethodsNine population-based studies were studied in which BMD and CRFs were documented at baseline. Poisson regression models were developed for hip fracture and other osteoporotic fractures, with and without hip BMD. Fracture risk was expressed as gradient of risk (GR, risk ratio/SD change in risk score).ResultsCRFs alone predicted hip fracture with a GR of 2.1/SD at the age of 50 years and decreased with age. The use of BMD alone provided a higher GR (3.7/SD), and was improved further with the combined use of CRFs and BMD (4.2/SD). For other osteoporotic fractures, the GRs were lower than for hip fracture. The GR with CRFs alone was 1.4/SD at the age of 50 years, similar to that provided by BMD (GR = 1.4/SD) and was not markedly increased by the combination (GR = 1.4/SD). The performance characteristics of clinical risk factors with and without BMD were validated in eleven independent population-based cohorts.ConclusionsThe models developed provide the basis for the integrated use of validated clinical risk factors in men and women to aid in fracture risk prediction.

Published
2007

45. Quality of life for up to 18 months after low-energy hip, vertebral, and distal forearm fractures—results from the ICUROS

Author

Svedbom, A., Borgstöm, F., Hernlund, E., Ström, O., Alekna, V., Bianchi, M. L., Clark, P., Curiel, M. D., Dimai, H. P., Jürisson, M., Kallikorm, R., Lember, M., Lesnyak, O., McCloskey, E., Sanders, K. M., Silverman, S., Solodovnikov, A., Tamulaitiene, M., Thomas, T., Toroptsova, N., Uusküla, A., Tosteson, A. N. A., Jönsson, B., and Kanis, J. A.

Published
2018
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50. An experience- and preference-based EQ-5D-3L value set derived using 18 months of longitudinal data in patients who sustained a fracture: results from the ICUROS.

Author

Svedbom, A, Borgstöm, F, Hernlund, E, Alekna, V, Bianchi, ML, Clark, P, Diaz-Curiel, M, Dimai, HP, Jürisson, M, Lesnyak, O, McCloskey, E, Sanders, KM, Silverman, S, Tamulaitiene, M, Thomas, T, Tosteson, ANA, Jönsson, B, Kanis, JA, Svedbom, A, Borgstöm, F, Hernlund, E, Alekna, V, Bianchi, ML, Clark, P, Diaz-Curiel, M, Dimai, HP, Jürisson, M, Lesnyak, O, McCloskey, E, Sanders, KM, Silverman, S, Tamulaitiene, M, Thomas, T, Tosteson, ANA, Jönsson, B, and Kanis, JA

Abstract

INTRODUCTION: EQ-5D-3L preference-based value sets are predominately based on hypothetical health states and derived in cross-sectional settings. Therefore, we derived an experience-based value set from a prospective observational study. METHODS: The International Costs and Utilities Related to Osteoporotic fractures Study (ICUROS) was a multinational study on fragility fractures, prospectively collecting EQ-5D-3L and Time trade-off (TTO) within two weeks after fracture (including pre-fracture recall), and at 4, 12, and 18 months thereafter. We derived an EQ-5D-3L value set by regressing the TTO values on the ten impairment levels in the EQ-5D-3L. We explored the potential for response shift and whether preferences for domains vary systematically with prior impairment in that domain. Finally, we compared the value set to 25 other EQ-5D-3L preference-based value sets. RESULTS: TTO data were available for 12,954 EQ-5D-3L health states in 4683 patients. All coefficients in the value set had the expected sign, were statistically significant, and increased monotonically with severity of impairment. We found evidence for response shift in mobility, self-care, and usual activities. The value set had good agreement with the only other experience- and preference-based value set, but poor agreement with all hypothetical value sets. CONCLUSIONS: We present an experience- and preference-based value set with high face validity. The study indicates that response shift may be important to account for when deriving value sets. Furthermore, the study suggests that perspective (experienced versus hypothetical) is more important than country setting or demographics for valuation of EQ-5D-3L health states.

Published
2023

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