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1,156 results on '"Lorentzon M"'

1. Eliminating the spin-down critical angle in polarizing neutron optics for expanding the polarization bandwidth

Author

Zubayer, A., Ghafoor, N., Glavic, A., Stahn, J., Lorentzon, M., Febvrier, A. Le, Eklund, P., Birch, J., and Eriksson, F.

Subjects
Condensed Matter - Materials Science
Abstract

Polarized neutron scattering is a very important analysis technique for studies of magnetism, spintronics, and high-sensitivity measurements, among others, offering invaluable information. Yet, the efficiency of such experiments rely on the performance of the polarizing neutron optics to provide high reflectivity and polarization. Presently, state-of-the-art polarizers like Fe/Si supermirrors are not able to polarize neutrons at low scattering angles in a monochromatic beam or able to polarize neutrons with a variety of wavelengths as for a non-monochromatic beam. To overcome this limitation, it is suggested to use Co/Ti multilayers on Ti substrates owing to their favorable scattering length density characteristics. It is shown that this approach enables a wavelength bandwidth several times larger than achievable with state-of-the-art materials on Si or glass substrates. Consequently, enabling the possibility of polarizing neutrons across an extended wavelength range, including those with very high wavelengths.

Published
2024

3. Previous fracture and subsequent fracture risk: a meta-analysis to update FRAX

Author

Kanis, J.A., 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., 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., Vandenput, L., Harvey, N.C., Lorentzon, M., and Leslie, W.D.

Published
2023
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4. 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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6. 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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10. 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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22. 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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31. 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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41. A variant near the interleukin-6 gene is associated with fat mass in Caucasian men

Author

Andersson, N, Strandberg, L, Nilsson, S, Adamovic, S, Karlsson, MK, Ljunggren, Ö, Mellström, D, Lane, NE, Zmuda, JM, Nielsen, C, Orwoll, E, Lorentzon, M, Ohlsson, C, and Jansson, J-O

Subjects
Biomedical and Clinical Sciences, Nutrition and Dietetics, Aging, Obesity, Clinical Research, Genetics, Clinical Trials and Supportive Activities, Nutrition, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Absorptiometry, Photon, Adiposity, Adolescent, Aged, Body Mass Index, Cross-Sectional Studies, Gene Frequency, Genetic Variation, Genotype, Humans, Interleukin-6, Male, Polymorphism, Single Nucleotide, Receptors, Interleukin-6, Sweden, White People, Young Adult, IL6, IL6R, SNP, rs10242595, Osteoporotic Fractures in Men MrOS Research Group, Medical and Health Sciences, Education, Endocrinology & Metabolism, Biomedical and clinical sciences, Health sciences
Abstract

ContextRegulation of fat mass appears to be associated with immune functions. Studies of knockout mice show that endogenous interleukin (IL)-6 can suppress mature-onset obesity.ObjectiveTo systematically investigate associations of single nucleotide polymorphisms (SNPs) near the IL-6 (IL6) and IL-6 receptor (IL6R) genes with body fat mass, in support for our hypothesis that variants of these genes can be associated with obesity.Design and study subjectsThe Gothenburg Osteoporosis and Obesity Determinants (GOOD) study is a population-based cross-sectional study of 18- to 20-year-old men (n=1049), from the Gothenburg area (Sweden). Major findings were confirmed in two additional cohorts consisting of elderly men from the Osteoporotic Fractures in Men (MrOS) Sweden (n=2851) and MrOS US (n=5611) multicenter population-based studies.Main outcomeThe genotype distributions and their association with fat mass in different compartments, measured with dual-energy X-ray absorptiometry.ResultsOut of 18 evaluated tag SNPs near the IL6 and IL6R genes, a recently identified SNP rs10242595 G/A (minor allele frequency=29%) 3' of the IL6 gene was negatively associated with the primary outcome total body fat mass (effect size -0.11 standard deviation (s.d.) units per A allele, P=0.02). This negative association with fat mass was also confirmed in the combined MrOS Sweden and MrOS US cohorts (effect size -0.05 s.d. units per A allele, P=0.002). When all three cohorts were combined (n=8927, Caucasian subjects), rs10242595(*)A showed a negative association with total body fat mass (effect size -0.05 s.d. units per A allele, P

Published
2010

44. Genetic insights into resting heart rate and its role in cardiovascular disease.

Author

Vegte, Y.J. van de, Eppinga, R.N., Ende, M.Y. van der, Hagemeijer, Y.P., Mahendran, Y., Salfati, E., Smith, A.V., Tan, V.Y., Arking, D.E., Ntalla, I., Appel, E.V., Schurmann, C., Brody, J.A., Rueedi, R., Polasek, O., Sveinbjornsson, G., Lecoeur, C., Ladenvall, C., Zhao, J.H., Isaacs, A., Wang, L., Luan, Jian'an, Hwang, S.J., Mononen, N., Auro, K., Jackson, A.U., Bielak, L.F., Zeng, L., Shah, N., Nethander, M., Campbell, A., Rankinen, T., Pechlivanis, S., Qi, L., Zhao, Wei, Rizzi, F., Tanaka, T., Robino, A., Cocca, M., Lange, L., Müller-Nurasyid, M., Roselli, C., Zhang, W, Kleber, M.E., Guo, X., Lin, H.J., Pavani, F., Galesloot, T.E., Noordam, R., Milaneschi, Y., Schraut, K.E., Hoed, M. den, Degenhardt, F., Trompet, S., Berg, M.E. van den, Pistis, G., Tham, Y.C., Weiss, S., Sim, X.S., Li, H.L., Most, P.J. van der, Nolte, I.M., Lyytikäinen, L.P., Said, M.A., Witte, D.R., Iribarren, C., Launer, L., Ring, S.M., Vries, P.S. de, Sever, P., Linneberg, A., Bottinger, E.P., Padmanabhan, S., Psaty, B.M., Sotoodehnia, N., Kolcic, I., Arnar, D.O., Gudbjartsson, D.F., Holm, H., Balkau, B., Silva, C.T., Newton-Cheh, C.H., Nikus, K., Salo, P., Mohlke, K.L., Peyser, P.A., Schunkert, H., Lorentzon, M., Lahti, J., Rao, D.C., Cornelis, M.C., Faul, J.D., Smith, J.A., Stolarz-Skrzypek, K., Bandinelli, S., Concas, M.P., Sinagra, G., Meitinger, T., Waldenberger, M., Sinner, M.F., Strauch, K., Delgado, G.E., Taylor, K.D., Yao, J., Foco, L., Melander, O., Graaf, J. de, Mutsert, R. de, Geus, E.J.C. de, Johansson, Å., Joshi, P.K., Lind, L., Franke, A., Macfarlane, P.W., Tarasov, K.V., Tan, N., Felix, S.B., Tai, E.S., Quek, D.Q., Snieder, H., Ormel, J., Ingelsson, M., Lindgren, C., Morris, A.P., Raitakari, O.T., Hansen, T., Assimes, T., Gudnason, V., Timpson, N.J., Morrison, A.C., Munroe, P.B., Strachan, D.P., Grarup, N., Loos, R.J.F., Heckbert, S.R., Vollenweider, P., Hayward, C., Stefansson, K., Froguel, P., Groop, L., Wareham, N.J., Duijn, C.M. van, Feitosa, M.F., O'Donnell, C.J., Kähönen, M., Perola, M., Boehnke, M., Kardia, S.L.R., Erdmann, J., Palmer, C.N.A., Ohlsson, C., Porteous, D.J., Eriksson, J.G., Bouchard, C., Moebus, S., Kraft, P., Weir, D.R., Cusi, D., Ferrucci, L., Ulivi, S., Girotto, G., Correa, A., Kääb, S., Peters, A., Chambers, J.C., Kooner, J.S., März, W., Rotter, J.I., Hicks, A.A., Smith, J.G., Kiemeney, L.A.L.M., Mook-Kanamori, D.O., Penninx, B.W.J.H., Gyllensten, U., Wilson, J.F., Burgess, S., Sundström, J., Lieb, W., Jukema, J.W., Eijgelsheim, M., Lakatta, E.L.M., Cheng, C.Y., Dörr, M., Wong, T.Y., Sabanayagam, C., Oldehinkel, A.J., Riese, H., Lehtimäki, T., Verweij, N., Harst, P. van der, Vegte, Y.J. van de, Eppinga, R.N., Ende, M.Y. van der, Hagemeijer, Y.P., Mahendran, Y., Salfati, E., Smith, A.V., Tan, V.Y., Arking, D.E., Ntalla, I., Appel, E.V., Schurmann, C., Brody, J.A., Rueedi, R., Polasek, O., Sveinbjornsson, G., Lecoeur, C., Ladenvall, C., Zhao, J.H., Isaacs, A., Wang, L., Luan, Jian'an, Hwang, S.J., Mononen, N., Auro, K., Jackson, A.U., Bielak, L.F., Zeng, L., Shah, N., Nethander, M., Campbell, A., Rankinen, T., Pechlivanis, S., Qi, L., Zhao, Wei, Rizzi, F., Tanaka, T., Robino, A., Cocca, M., Lange, L., Müller-Nurasyid, M., Roselli, C., Zhang, W, Kleber, M.E., Guo, X., Lin, H.J., Pavani, F., Galesloot, T.E., Noordam, R., Milaneschi, Y., Schraut, K.E., Hoed, M. den, Degenhardt, F., Trompet, S., Berg, M.E. van den, Pistis, G., Tham, Y.C., Weiss, S., Sim, X.S., Li, H.L., Most, P.J. van der, Nolte, I.M., Lyytikäinen, L.P., Said, M.A., Witte, D.R., Iribarren, C., Launer, L., Ring, S.M., Vries, P.S. de, Sever, P., Linneberg, A., Bottinger, E.P., Padmanabhan, S., Psaty, B.M., Sotoodehnia, N., Kolcic, I., Arnar, D.O., Gudbjartsson, D.F., Holm, H., Balkau, B., Silva, C.T., Newton-Cheh, C.H., Nikus, K., Salo, P., Mohlke, K.L., Peyser, P.A., Schunkert, H., Lorentzon, M., Lahti, J., Rao, D.C., Cornelis, M.C., Faul, J.D., Smith, J.A., Stolarz-Skrzypek, K., Bandinelli, S., Concas, M.P., Sinagra, G., Meitinger, T., Waldenberger, M., Sinner, M.F., Strauch, K., Delgado, G.E., Taylor, K.D., Yao, J., Foco, L., Melander, O., Graaf, J. de, Mutsert, R. de, Geus, E.J.C. de, Johansson, Å., Joshi, P.K., Lind, L., Franke, A., Macfarlane, P.W., Tarasov, K.V., Tan, N., Felix, S.B., Tai, E.S., Quek, D.Q., Snieder, H., Ormel, J., Ingelsson, M., Lindgren, C., Morris, A.P., Raitakari, O.T., Hansen, T., Assimes, T., Gudnason, V., Timpson, N.J., Morrison, A.C., Munroe, P.B., Strachan, D.P., Grarup, N., Loos, R.J.F., Heckbert, S.R., Vollenweider, P., Hayward, C., Stefansson, K., Froguel, P., Groop, L., Wareham, N.J., Duijn, C.M. van, Feitosa, M.F., O'Donnell, C.J., Kähönen, M., Perola, M., Boehnke, M., Kardia, S.L.R., Erdmann, J., Palmer, C.N.A., Ohlsson, C., Porteous, D.J., Eriksson, J.G., Bouchard, C., Moebus, S., Kraft, P., Weir, D.R., Cusi, D., Ferrucci, L., Ulivi, S., Girotto, G., Correa, A., Kääb, S., Peters, A., Chambers, J.C., Kooner, J.S., März, W., Rotter, J.I., Hicks, A.A., Smith, J.G., Kiemeney, L.A.L.M., Mook-Kanamori, D.O., Penninx, B.W.J.H., Gyllensten, U., Wilson, J.F., Burgess, S., Sundström, J., Lieb, W., Jukema, J.W., Eijgelsheim, M., Lakatta, E.L.M., Cheng, C.Y., Dörr, M., Wong, T.Y., Sabanayagam, C., Oldehinkel, A.J., Riese, H., Lehtimäki, T., Verweij, N., and Harst, P. van der

Abstract

Contains fulltext : 296013.pdf (Publisher’s version ) (Open Access), Resting heart rate is associated with cardiovascular diseases and mortality in observational and Mendelian randomization studies. The aims of this study are to extend the number of resting heart rate associated genetic variants and to obtain further insights in resting heart rate biology and its clinical consequences. A genome-wide meta-analysis of 100 studies in up to 835,465 individuals reveals 493 independent genetic variants in 352 loci, including 68 genetic variants outside previously identified resting heart rate associated loci. We prioritize 670 genes and in silico annotations point to their enrichment in cardiomyocytes and provide insights in their ECG signature. Two-sample Mendelian randomization analyses indicate that higher genetically predicted resting heart rate increases risk of dilated cardiomyopathy, but decreases risk of developing atrial fibrillation, ischemic stroke, and cardio-embolic stroke. We do not find evidence for a linear or non-linear genetic association between resting heart rate and all-cause mortality in contrast to our previous Mendelian randomization study. Systematic alteration of key differences between the current and previous Mendelian randomization study indicates that the most likely cause of the discrepancy between these studies arises from false positive findings in previous one-sample MR analyses caused by weak-instrument bias at lower P-value thresholds. The results extend our understanding of resting heart rate biology and give additional insights in its role in cardiovascular disease development.

Published
2023

46. Correction to: 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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49. 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

Subjects
SDG 3 - Good Health and Well-being, Bone Density, Hip Fractures, Risk Factors, Endocrinology, Diabetes and Metabolism, Humans, Osteoporosis, Prospective Studies, 610 Medicine & health, Risk Assessment, Osteoporotic Fractures
Abstract

We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. INTRODUCTION The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now incorporated into more than 100 clinical osteoporosis guidelines worldwide. The aim of this study is to determine whether the current algorithms can be further optimised with respect to current and novel risk factors. METHODS A computerised literature search was performed in PubMed from inception until May 17, 2019, to identify eligible cohorts for updating the FRAX coefficients. Additionally, we searched the abstracts of conference proceedings of the American Society for Bone and Mineral Research, European Calcified Tissue Society and World Congress of Osteoporosis. Prospective cohort studies with data on baseline clinical risk factors and incident fractures were eligible. RESULTS Of the 836 records retrieved, 53 were selected for full-text assessment after screening on title and abstract. Twelve cohorts were deemed eligible and of these, 4 novel cohorts were identified. These cohorts, together with 60 previously identified cohorts, will provide the resource for constructing an updated version of FRAX comprising 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. For each known and candidate risk factor, multivariate hazard functions for hip fracture, major osteoporotic fracture and death will be tested using extended Poisson regression. Sex- and/or ethnicity-specific differences in the weights of the risk factors will be investigated. After meta-analyses of the cohort-specific beta coefficients for each risk factor, models comprising 10-year probability of hip and major osteoporotic fracture, with or without femoral neck bone mineral density, will be computed. CONCLUSIONS These assembled cohorts and described models will provide the framework for an updated FRAX tool enabling enhanced assessment of fracture risk (PROSPERO (CRD42021227266)).

Published
2022

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