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2. A meta-analysis of previous falls and subsequent fracture risk in cohort studies

Author

Vandenput, Liesbeth, Johansson, Helena, McCloskey, Eugene V., Liu, Enwu, Schini, Marian, Åkesson, Kristina E., Anderson, Fred A., Azagra, Rafael, Bager, Cecilie L., Beaudart, Charlotte, Bischoff-Ferrari, Heike A., Biver, Emmanuel, Bruyère, Olivier, Cauley, Jane A., Center, Jacqueline R., Chapurlat, Roland, Christiansen, Claus, Cooper, Cyrus, Crandall, Carolyn J., Cummings, Steven R., da Silva, José A. P., Dawson-Hughes, Bess, Diez-Perez, Adolfo, Dufour, Alyssa B., Eisman, John A., Elders, Petra J. M., Ferrari, Serge, Fujita, Yuki, Fujiwara, Saeko, Glüer, Claus-Christian, Goldshtein, Inbal, Goltzman, David, Gudnason, Vilmundur, Hall, Jill, Hans, Didier, Hoff, Mari, Hollick, Rosemary J., Huisman, Martijn, Iki, Masayuki, Ish-Shalom, Sophia, Jones, Graeme, Karlsson, Magnus K., Khosla, Sundeep, Kiel, Douglas P., Koh, Woon-Puay, Koromani, Fjorda, Kotowicz, Mark A., Kröger, Heikki, Kwok, Timothy, Lamy, Olivier, Langhammer, Arnulf, Larijani, Bagher, Lippuner, Kurt, McGuigan, Fiona E. A., Mellström, Dan, Merlijn, Thomas, Nguyen, Tuan V., Nordström, Anna, Nordström, Peter, O’Neill, Terence W., Obermayer-Pietsch, Barbara, Ohlsson, Claes, Orwoll, Eric S., Pasco, Julie A., Rivadeneira, Fernando, Schott, Anne-Marie, Shiroma, Eric J., Siggeirsdottir, Kristin, Simonsick, Eleanor M., Sornay-Rendu, Elisabeth, Sund, Reijo, Swart, Karin M. A., Szulc, Pawel, Tamaki, Junko, Torgerson, David J., van Schoor, Natasja M., van Staa, Tjeerd P., Vila, Joan, Wareham, Nicholas J., Wright, Nicole C., Yoshimura, Noriko, Zillikens, MCarola, Zwart, Marta, Harvey, Nicholas C., Lorentzon, Mattias, Leslie, William D., and Kanis, John A.

Published
2024
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3. A perspective on muscle phenotyping in musculoskeletal research

Author

Foessl, Ines, Ackert-Bicknell, Cheryl L., Kague, Erika, Laskou, Faidra, Jakob, Franz, Karasik, David, Obermayer-Pietsch, Barbara, Alonso, Nerea, Bjørnerem, Åshild, Brandi, Maria Luisa, Busse, Björn, Calado, Ângelo, Cebi, Alper Han, Christou, Maria, Curran, Kathleen M., Hald, Jannie Dahl, Semeraro, Maria Donatella, Douni, Eleni, Duncan, Emma L., Duran, Ivan, Formosa, Melissa M., Gabet, Yankel, Ghatan, Samuel, Gkitakou, Artemis, Hassler, Eva Maria, Högler, Wolfgang, Heino, Terhi J., Hendrickx, Gretl, Khashayar, Patricia, Kiel, Douglas P., Koromani, Fjorda, Langdahl, Bente, Lopes, Philippe, Mäkitie, Outi, Maurizi, Antonio, Medina-Gomez, Carolina, Ntzani, Evangelia, Ohlsson, Claes, Prijatelj, Vid, Rabionet, Raquel, Reppe, Sjur, Rivadeneira, Fernando, Roshchupkin, Gennady, Sharma, Neha, Søe, Kent, Styrkarsdottir, Unnur, Szulc, Pavel, Teti, Anna, Tobias, Jon, Valjevac, Amina, van de Peppel, Jeroen, van der Eerden, Bram, van Rietbergen, Bert, Zekic, Tatjana, and Zillikens, M. Carola

Published
2024
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10. Vascular calcification and osteoporosis: confounded associations or shared biologic pathways?

Author

Lu, Haojie, primary, Bos, Daniel, additional, Trajanoska, Katerina, additional, Ghatan, Samuel, additional, Koromani, Fjorda, additional, Oei, Ling, additional, Kiel, Douglas, additional, Zillikens, Carola, additional, Rivadeneira, Fernando, additional, Kavousi, Maryam, additional, Medina-Gomez, Carolina, additional, For, Charge Consortium, additional, and For, Gefos Consortium, additional

Published
2022
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11. Gut microbiome profiles identified by a machine learning algorithm are correlated with T2D and muscle strength: the Rotterdam Study

Author

Li, Ruolin, primary, Ahmadizar, Fariba, additional, Koromani, Fjorda, additional, Ghatan, Samuel, additional, Roshchupkin, Gennady, additional, Zillikens, M. Carola, additional, Oei, Ling, additional, Uitterlinden, Andre G., additional, Kraaij, Robert, additional, Kavousi, Maryam, additional, Rivadeneira, Fernando, additional, and Medina-Gomez, Carolina, additional

Published
2022
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12. Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture

Author

Zheng, Hou-Feng, Forgetta, Vincenzo, Hsu, Yi-Hsiang, Estrada, Karol, Rosello-Diez, Alberto, Leo, Paul J., Dahia, Chitra L., Park-Min, Kyung Hyun, Tobias, Jonathan H., Kooperberg, Charles, Kleinman, Aaron, Styrkarsdottir, Unnur, Liu, Ching-Ti, Uggla, Charlotta, Evans, Daniel S., Nielson, Carrie M., Walter, Klaudia, Pettersson-Kymmer, Ulrika, McCarthy, Shane, Eriksson, Joel, Kwan, Tony, Jhamai, Mila, Trajanoska, Katerina, Memari, Yasin, Min, Josine, Huang, Jie, Danecek, Petr, Wilmot, Beth, Li, Rui, Chou, Wen-Chi, Mokry, Lauren E., Moayyeri, Alireza, Claussnitzer, Melina, Cheng, Chia-Ho, Cheung, Warren, Medina-Gómez, Carolina, Ge, Bing, Chen, Shu-Huang, Choi, Kwangbom, Oei, Ling, Fraser, James, Kraaij, Robert, Hibbs, Matthew A., Gregson, Celia L., Paquette, Denis, Hofman, Albert, Wibom, Carl, Tranah, Gregory J., Marshall, Mhairi, Gardiner, Brooke B., Cremin, Katie, Auer, Paul, Hsu, Li, Ring, Sue, Tung, Joyce Y., Thorleifsson, Gudmar, Enneman, Anke W., van Schoor, Natasja M., de Groot, Lisette C. P. G. M., van der Velde, Nathalie, Melin, Beatrice, Kemp, John P., Christiansen, Claus, Sayers, Adrian, Zhou, Yanhua, Calderari, Sophie, van Rooij, Jeroen, Carlson, Chris, Peters, Ulrike, Berlivet, Soizik, Dostie, Josée, Uitterlinden, Andre G., Williams, Stephen R., Farber, Charles, Grinberg, Daniel, LaCroix, Andrea Z., Haessler, Jeff, Chasman, Daniel I., Giulianini, Franco, Rose, Lynda M., Ridker, Paul M., Eisman, John A., Nguyen, Tuan V., Center, Jacqueline R., Nogues, Xavier, Garcia-Giralt, Natalia, Launer, Lenore L., Gudnason, Vilmunder, Mellström, Dan, Vandenput, Liesbeth, Amin, Najaf, van Duijn, Cornelia M., Karlsson, Magnus K., Ljunggren, Östen, Svensson, Olle, Hallmans, Göran, Rousseau, François, Giroux, Sylvie, Bussière, Johanne, Arp, Pascal P., Koromani, Fjorda, Prince, Richard L., Lewis, Joshua R., Langdahl, Bente L., Hermann, Pernille A., Jensen, Jens-Erik B., Kaptoge, Stephen, Khaw, Kay-Tee, Reeve, Jonathan, Formosa, Melissa M., Xuereb-Anastasi, Angela, Åkesson, Kristina, McGuigan, Fiona E., Garg, Gaurav, Olmos, Jose M., Zarrabeitia, Maria T., Riancho, Jose A., Ralston, Stuart H., Alonso, Nerea, Jiang, Xi, Goltzman, David, Pastinen, Tomi, Grundberg, Elin, Gauguier, Dominique, Orwoll, Eric S., Karasik, David, Davey-Smith, George, Smith, Albert V., Siggeirsdottir, Kristin, Harris, Tamara B., Zillikens, Carola M., van Meurs, Joyce B. J., Thorsteinsdottir, Unnur, Maurano, Matthew T., Timpson, Nicholas J., Soranzo, Nicole, Durbin, Richard, Wilson, Scott G., Ntzani, Evangelia E., Brown, Matthew A., Stefansson, Kari, Hinds, David A., Spector, Tim, Cupples, Adrienne L., Ohlsson, Claes, Greenwood, Celia M. T., Jackson, Rebecca D., Rowe, David W., Loomis, Cynthia A., Evans, David M., Ackert-Bicknell, Cheryl L., Joyner, Alexandra L., Duncan, Emma L., Kiel, Douglas P., Rivadeneira, Fernando, and Richards, Brent J.

Published
2015
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13. The “GEnomics of Musculo Skeletal Traits TranslatiOnal NEtwork”: Origins, Rationale, Organization, and Prospects

Author

Koromani, Fjorda, primary, Alonso, Nerea, additional, Alves, Ines, additional, Brandi, Maria Luisa, additional, Foessl, Ines, additional, Formosa, Melissa M., additional, Morgenstern, Milana Frenkel, additional, Karasik, David, additional, Kolev, Mikhail, additional, Makitie, Outi, additional, Ntzani, Evangelia, additional, Pietsch, Barbara Obermayer, additional, Ohlsson, Claes, additional, Rauner, Martina, additional, Soe, Kent, additional, Soldatovic, Ivan, additional, Teti, Anna, additional, Valjevac, Amina, additional, and Rivadeneira, Fernando, additional

Published
2021
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15. Longitudinal changes in appendicular skeletal muscle mass among asthma and COPD subjects: The Rotterdam Study

Author

Benz, G. Elizabeth, primary, De Roos, Emmely W., additional, Trajanoska, Katerina, additional, Wijnant, Sara, additional, Van Den Berg, Marten, additional, De Ridder, Maria, additional, Van Der Burgh, Lisa, additional, Koromani, Fjorda, additional, Erler, Nicole S., additional, Williams, Ross, additional, Lahousse, Lies, additional, Verhamme, Katia, additional, Ikram, M. Arfan, additional, Stricker, Bruno, additional, Rivadeneira, Fernando, additional, and Brusselle, Guy, additional

Published
2020
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18. Vertebral Fractures in Individuals With Type 2 Diabetes: More Than Skeletal Complications Alone

Author

Koromani, Fjorda, primary, Oei, Ling, additional, Shevroja, Enisa, additional, Trajanoska, Katerina, additional, Schoufour, Josje, additional, Muka, Taulant, additional, Franco, Oscar H., additional, Ikram, M. Arfan, additional, Zillikens, M. Carola, additional, Uitterlinden, André G., additional, Krestin, Gabriel P., additional, Anastassiades, Tassos, additional, Josse, Robert, additional, Kaiser, Stephanie M., additional, Goltzman, David, additional, Lentle, Brian C., additional, Prior, Jerilynn C., additional, Leslie, William D., additional, McCloskey, Eugene, additional, Lamy, Olivier, additional, Hans, Didier, additional, Oei, Edwin H., additional, and Rivadeneira, Fernando, additional

Published
2019
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19. Do Vitamin D Level and Dietary Calcium Intake Modify the Association Between Loop Diuretics and Bone Health?

Author

Oliai Araghi, Sadaf, primary, Kiefte-de Jong, Jessica C., additional, Trajanoska, Katerina, additional, Koromani, Fjorda, additional, Rivadeneira, Fernando, additional, Zillikens, M. Carola, additional, van Schoor, Natasja M., additional, de Groot, Lisette C. P. G. M., additional, Ikram, M. Arfan, additional, Uitterlinden, André G., additional, Stricker, Bruno H., additional, and van der Velde, Nathalie, additional

Published
2019
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20. Osteoporotic Vertebral Fracture Prevalence Varies Widely Between Qualitative and Quantitative Radiological Assessment Methods:The Rotterdam Study

Author

Oei, Ling, Koromani, Fjorda, Breda, Stephan J., Schousboe, John T., Clark, Emma M., van Meurs, Joyce B.J., Ikram, M. Arfan, Waarsing, Jan H., van Rooij, Frank J.A., Zillikens, Maria C., Krestin, Gabriel P., Oei, Edwin H.G., and Rivadeneira, Fernando

Subjects
fracture, diagnosis, Epidemiology, Screening, Osteoporosis, Radiology, vertebral
Abstract

Accurate diagnosis of vertebral osteoporotic fractures is crucial for the identification of individuals at high risk of future fractures. Different methods for radiological assessment of vertebral fractures exist, but a gold standard is lacking. The aim of our study was to estimate statistical measures of agreement and prevalence of osteoporotic vertebral fractures in the population-based Rotterdam Study, across two assessment methods. The quantitative morphometry assisted by SpineAnalyzer® (QM SA) method evaluates vertebral height loss that affects vertebral shape whereas the algorithm-based qualitative (ABQ) method judges endplate integrity and includes guidelines for the differentiation of vertebral fracture and nonfracture deformities. Cross-sectional radiographs were assessed for 7582 participants aged 45 to 95 years. With QM SA, the prevalence was 14.2% (95% CI, 13.4% to 15.0%), compared to 4.0% (95% CI, 3.6% to 4.5%) with ABQ. Inter-method agreement according to kappa (κ) was 0.24. The highest agreement between methods was among females (κ = 0.31), participants age >80 years (κ = 0.40), and at the L1 level (κ = 0.40). With ABQ, most fractures were found at the thoracolumbar junction (T12–L1) followed by the T7–T8 level, whereas with QM SA, most deformities were in the mid thoracic (T7–T8) and lower thoracic spine (T11–T12), with similar number of fractures in both peaks. Excluding mild QM SA deformities (grade 1 with QM) from the analysis increased, the agreement between the methods from κ = 0.24 to 0.40, whereas reexamining mild deformities based on endplate depression increased agreement from κ = 0.24 to 0.50 (p

Published
2018

26. Do Vitamin D Level and Dietary Calcium Intake Modify the Association Between Loop Diuretics and Bone Health?

Author

Oliai Araghi, Sadaf, Kiefte-de Jong, Jessica C., Trajanoska, Katerina, Koromani, Fjorda, Rivadeneira, Fernando, Zillikens, M. Carola, van Schoor, Natasja M., de Groot, Lisette C. P. G. M., Ikram, M. Arfan, Uitterlinden, André G., Stricker, Bruno H., and van der Velde, Nathalie

Subjects
CALCIUM supplements, VITAMIN D, BONE density, CALCIUM, CANCELLOUS bone, DIURETICS, CHOLECALCIFEROL, BONE physiology, FOOD habits, BONES, PHOTON absorptiometry, DRUG-food interactions, INGESTION, SURVEYS, QUESTIONNAIRES, MEMBRANE proteins, DIETARY calcium, LUMBAR vertebrae, LONGITUDINAL method
Abstract

Loop diuretics (LD) may affect bone health by inhibiting renal calcium reuptake. However, whether vitamin D status and dietary calcium intake modify the association between LD and bone outcome is unclear. Therefore, this study aimed to evaluate whether vitamin D level or calcium intake modify the association between LD and various indices of bone health including bone mineral density (BMD) and Trabecular Bone Score (TBS). From The Rotterdam Study, a prospective population-based cohort study, we used data from 6990 participants aged > 45 year with a DXA scan (2002-2008), 6908 participants with femoral neck (FN)-BMD, 6677 participants with lumbar spine (LS)-BMD and 6476 participants with LS-TBS measurements. Use of LD was available from pharmacy dispensing records. Vitamin D (25(OH)D) level was measured in serum, and dietary calcium intake was measured with a validated food frequency questionnaire. Almost eight percent of the participants used LD. The association between LD (past-users compared to never-users) and LS-TBS was significantly different by 25(OH)D concentrations (P for interaction = 0.04). A significantly lower LS-TBS among LD past-users was observed for 25(OH)D ≥ 50 nmol/l compared to ≤ 20 and 20-50 nmol/l (β = - 0.036, 95% CI - 0.060; - 0.013 vs. β = - 0.012, 95% CI - 0.036; 0.013 and β = - 0.031, 95% CI - 0.096; 0.034, respectively). However, no other significant effect modification by 25(OH)D and dietary calcium intake was found in the associations between LD use and bone health outcomes (P-interaction > 0.13). This study suggests that the association between LD use and indices of bone health is not consistently modified by vitamin D or dietary calcium intake. [ABSTRACT FROM AUTHOR]

Published
2020
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27. Vertebral Fractures in Individuals With Type 2 Diabetes: More Than Skeletal Complications Alone.

Author

Koromani, Fjorda, Ling Oei, Shevroja, Enisa, Trajanoska, Katerina, Schoufour, Josje, Muka, Taulant, Franco, Oscar H., Ikram, M. Arfan, Zillikens, M. Carola, Uitterlinden, André G., Krestin, Gabriel P., Anastassiades, Tassos, Josse, Robert, Kaiser, Stephanie M., Goltzman, David, Lentle, Brian C., Prior, Jerilynn C., Leslie, William D., McCloskey, Eugene, and Lamy, Olivier

Abstract

Objective: We aimed to assess whether individuals with type 2 diabetes (T2D) have increased risk of vertebral fractures (VFs) and to estimate nonvertebral fracture and mortality risk among individuals with both prevalent T2D and VFs.Research Design and Methods: A systematic PubMed search was performed to identify studies that investigated the relationship between T2D and VFs. Cohorts providing individual participant data (IPD) were also included. Estimates from published summary data and IPD cohorts were pooled in a random-effects meta-analysis. Multivariate Cox regression models were used to estimate nonvertebral fracture and mortality risk among individuals with T2D and VFs.Results: Across 15 studies comprising 852,705 men and women, individuals with T2D had lower risk of prevalent (odds ratio [OR] 0.84 [95% CI 0.74-0.95]; I2 = 0.0%; Phet = 0.54) but increased risk of incident VFs (OR 1.35 [95% CI 1.27-1.44]; I2 = 0.6%; Phet = 0.43). In the IPD cohorts (N = 19,820), risk of nonvertebral fractures was higher in those with both T2D and VFs compared with those without T2D or VFs (hazard ratio [HR] 2.42 [95% CI 1.86-3.15]) or with VFs (HR 1.73 [95% CI 1.32-2.27]) or T2D (HR 1.94 [95% CI 1.46-2.59]) alone. Individuals with both T2D and VFs had increased mortality compared with individuals without T2D and VFs (HR 2.11 [95% CI 1.72-2.59]) or with VFs alone (HR 1.84 [95% CI 1.49-2.28]) and borderline increased compared with individuals with T2D alone (HR 1.23 [95% CI 0.99-1.52]).Conclusions: Based on our findings, individuals with T2D should be systematically assessed for presence of VFs, and, as in individuals without T2D, their presence constitutes an indication to start osteoporosis treatment for the prevention of future fractures. [ABSTRACT FROM AUTHOR]

Published
2020
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29. Osteoporotic Vertebral Fracture Prevalence Varies Widely Between Qualitative and Quantitative Radiological Assessment Methods: The Rotterdam Study

Author

Oei, Ling, primary, Koromani, Fjorda, additional, Breda, Stephan J, additional, Schousboe, John T, additional, Clark, Emma M, additional, van Meurs, Joyce BJ, additional, Ikram, M Arfan, additional, Waarsing, Jan H, additional, van Rooij, Frank JA, additional, Zillikens, Maria C, additional, Krestin, Gabriel P, additional, Oei, Edwin HG, additional, and Rivadeneira, Fernando, additional

Published
2017
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32. The Radiology of Osteoporotic Vertebral Fractures Revisited.

Author

Lentle, Brian, Koromani, Fjorda, Brown, Jacques P., Oei, Ling, Ward, Leanne, Goltzman, David, Rivadeneira, Fernando, Leslie, William D, Probyn, Linda, Prior, Jerilynn, Hammond, Ian, Cheung, Angela M., and Oei, Edwin H.

Abstract

Until recently there has been little evidence available to validate any method by which to make an accurate diagnosis of an osteoporotic vertebral fractures (OVFs) from plain radiographs. In part this reflects a lack of a completely satisfactory "gold standard," but primarily it relates to the absence of well‐designed prospective studies in this context. Historically, OVFs were recognized by evidence of macroscopic structural failure in vertebrae using the criteria applied elsewhere in the skeleton. This comprised altered alignment, fragmentation, cortical disruptions, and breaks, among other changes. However, these morphological criteria were replaced by vertebral morphometry, referring to the use of quantitative or quasi‐quantitative measurement tools for fracture diagnosis. Vertebral morphometry emerged as an understanding of and treatment for osteoporosis evolved, mainly in response to the need for expeditious assessments of large numbers of spine images for epidemiological and pharmaceutical purposes. Although most of the descriptions of such morphometric tools have stressed that they were not to be applied to clinical diagnosis with respect to individual patients, this constraint has been widely disregarded. Here we review the major attempts to develop a diagnostic strategy for OVF and describe their characteristics in adults and children. Recent evidence suggests that morphometric (quantitative; ie, based on measurement of dimensions and shape description) criteria are inferior to morphologic (qualitative; ie, based on structural integrity) vertebral damage assessment in identifying people with low bone density and at an increased risk of future fracture. Thus there is now an evidentiary basis for suggesting that morphological assessment is the preferred strategy for use in diagnosing OVF from radiographs. © 2019 American Society for Bone and Mineral Research. [ABSTRACT FROM AUTHOR]

Published
2019
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36. Osteoporotic Vertebral Fracture Prevalence Varies Widely Between Qualitative and Quantitative Radiological Assessment Methods: The Rotterdam Study.

Author

Oei L, Koromani F, Breda SJ, Schousboe JT, Clark EM, van Meurs JB, Ikram MA, Waarsing JH, van Rooij FJ, Zillikens MC, Krestin GP, Oei EH, and Rivadeneira F

Subjects
Aged, Female, Humans, Male, Middle Aged, Netherlands epidemiology, Osteoporosis epidemiology, Prospective Studies, Spinal Fractures epidemiology, Osteoporosis diagnostic imaging, Spinal Fractures diagnostic imaging, Spine diagnostic imaging
Abstract

Accurate diagnosis of vertebral osteoporotic fractures is crucial for the identification of individuals at high risk of future fractures. Different methods for radiological assessment of vertebral fractures exist, but a gold standard is lacking. The aim of our study was to estimate statistical measures of agreement and prevalence of osteoporotic vertebral fractures in the population-based Rotterdam Study, across two assessment methods. The quantitative morphometry assisted by SpineAnalyzer® (QM SA) method evaluates vertebral height loss that affects vertebral shape whereas the algorithm-based qualitative (ABQ) method judges endplate integrity and includes guidelines for the differentiation of vertebral fracture and nonfracture deformities. Cross-sectional radiographs were assessed for 7582 participants aged 45 to 95 years. With QM SA, the prevalence was 14.2% (95% CI, 13.4% to 15.0%), compared to 4.0% (95% CI, 3.6% to 4.5%) with ABQ. Inter-method agreement according to kappa (κ) was 0.24. The highest agreement between methods was among females (κ = 0.31), participants age >80 years (κ = 0.40), and at the L 1 level (κ = 0.40). With ABQ, most fractures were found at the thoracolumbar junction (T 12 -L 1 ) followed by the T 7 -T 8 level, whereas with QM SA, most deformities were in the mid thoracic (T 7 -T 8 ) and lower thoracic spine (T 11 -T 12 ), with similar number of fractures in both peaks. Excluding mild QM SA deformities (grade 1 with QM) from the analysis increased, the agreement between the methods from κ = 0.24 to 0.40, whereas reexamining mild deformities based on endplate depression increased agreement from κ = 0.24 to 0.50 (p <0.001). Vertebral fracture prevalence differs significantly between QM SA and ABQ; reexamining QM mild deformities based on endplate depression would increase the agreement between methods. More widespread and consistent application of an optimal method may improve clinical care. © 2017 American Society for Bone and Mineral Research., (© 2017 American Society for Bone and Mineral Research.)

Published
2018
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