Fracture risk assessment in the general population in Spain by FRAX® algorithm. EPISER2016 study
Copyright © 2019 Elsevier España, S.L.U. All rights reserved..
OBJECTIVES: To analyse the risk of fracture calculated by FRAX® and the frequency of high risk of fracture in the general population in Spain.
METHODS: EPISER2016 is a multicentre cross-sectional population-based study of the prevalence of rheumatic diseases in the adult population in Spain. 3,154 subjects aged ≥40 years (1,184 men and 1,970 women) were selected by stratified random sampling. The questions related to fracture risk factors were asked by telephone survey. The risk of major osteoporotic fracture (MOFR) and hip fracture (HFR) were calculated with the Spanish version of the FRAX® tool, without the inclusion of bone mineral density. To define high fracture risk, the MOFR≥20%, MOFR≥10%, MOFR≥7.5% and HFR≥3% thresholds were used.
RESULTS: The median (interquartile range) of the MOFR was 2.61% (1.55-6.34%) in women and 1.67% (1.15-2.87%) in men, whereas that of the HFR was 0.39% (0.14-1.86%) and 0.18% (0.07-0.77%); 3.83% of women and no men had a MOFR≥20%; 15.71% and 1.14% had a MOFR≥10%; 20.62% and 2.21%, a MOFR≥7.5%; and 19.27% and 8.05%, an HFR≥3%. In women aged 65 and over, the HFR was high in 58.09%.
CONCLUSIONS: EPISER2016 enabled us to establish the risk of fracture calculated by FRAX® and the prevalence of high risk of fracture in the general population according to the different thresholds used in Spain.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:154 |
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| Enthalten in: |
Medicina clinica - 154(2020), 5 vom: 13. März, Seite 163-170 |
| Sprache: |
Englisch |
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| Weiterer Titel: |
Valoración del riesgo de fractura en población general en España mediante el algoritmo FRAX®: Estudio EPISER2016 |
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| Links: |
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| Themen: |
0K5C5T2QPG |
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| Anmerkungen: |
Date Completed 01.02.2021 Date Revised 01.02.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.medcli.2019.05.042 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM30382395X |
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| 245 | 1 | 0 | |a Fracture risk assessment in the general population in Spain by FRAX® algorithm. EPISER2016 study |
| 246 | 3 | 3 | |a Valoración del riesgo de fractura en población general en España mediante el algoritmo FRAX®: Estudio EPISER2016 |
| 264 | 1 | |c 2020 | |
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| 500 | |a Date Completed 01.02.2021 | ||
| 500 | |a Date Revised 01.02.2021 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2019 Elsevier España, S.L.U. All rights reserved. | ||
| 520 | |a OBJECTIVES: To analyse the risk of fracture calculated by FRAX® and the frequency of high risk of fracture in the general population in Spain | ||
| 520 | |a METHODS: EPISER2016 is a multicentre cross-sectional population-based study of the prevalence of rheumatic diseases in the adult population in Spain. 3,154 subjects aged ≥40 years (1,184 men and 1,970 women) were selected by stratified random sampling. The questions related to fracture risk factors were asked by telephone survey. The risk of major osteoporotic fracture (MOFR) and hip fracture (HFR) were calculated with the Spanish version of the FRAX® tool, without the inclusion of bone mineral density. To define high fracture risk, the MOFR≥20%, MOFR≥10%, MOFR≥7.5% and HFR≥3% thresholds were used | ||
| 520 | |a RESULTS: The median (interquartile range) of the MOFR was 2.61% (1.55-6.34%) in women and 1.67% (1.15-2.87%) in men, whereas that of the HFR was 0.39% (0.14-1.86%) and 0.18% (0.07-0.77%); 3.83% of women and no men had a MOFR≥20%; 15.71% and 1.14% had a MOFR≥10%; 20.62% and 2.21%, a MOFR≥7.5%; and 19.27% and 8.05%, an HFR≥3%. In women aged 65 and over, the HFR was high in 58.09% | ||
| 520 | |a CONCLUSIONS: EPISER2016 enabled us to establish the risk of fracture calculated by FRAX® and the prevalence of high risk of fracture in the general population according to the different thresholds used in Spain | ||
| 650 | 4 | |a Journal Article | |
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| 700 | 1 | |a Díaz-González, Federico |e verfasserin |4 aut | |
| 700 | 1 | |a Bustabad-Reyes, Sagrario |e verfasserin |4 aut | |
| 700 | 0 | |a en nombre del Grupo de Trabajo del Proyecto EPISER2016 |e verfasserin |4 aut | |
| 700 | 0 | |a Grupo de Trabajo del Proyecto EPISER2016 |e verfasserin |4 aut | |
| 700 | 1 | |a Silva-Fernández, Lucía |e investigator |4 oth | |
| 700 | 1 | |a Sivera, Francisca |e investigator |4 oth | |
| 700 | 1 | |a Quilis Martí, Neus |e investigator |4 oth | |
| 700 | 1 | |a Blanco, Francisco J |e investigator |4 oth | |
| 700 | 1 | |a Pérez Ruiz, Fernando |e investigator |4 oth | |
| 700 | 1 | |a Atxotegi Sáenz de Buruaga, Joana |e investigator |4 oth | |
| 700 | 1 | |a Urionagüena Onaindia, Irati |e investigator |4 oth | |
| 700 | 1 | |a Blanco Cáceres, Boris Anthony |e investigator |4 oth | |
| 700 | 1 | |a Juan-Mas, Antonio |e investigator |4 oth | |
| 700 | 1 | |a Pego-Reigosa, José M |e investigator |4 oth | |
| 700 | 1 | |a Narváez, Javier |e investigator |4 oth | |
| 700 | 1 | |a Cortés Verdú, Raúl |e investigator |4 oth | |
| 700 | 1 | |a Antón-Pagés, Fred |e investigator |4 oth | |
| 700 | 1 | |a Quevedo Vila, Víctor |e investigator |4 oth | |
| 700 | 1 | |a Garrido Courel, Laura |e investigator |4 oth | |
| 700 | 1 | |a Del Val Del Amo, Natividad |e investigator |4 oth | |
| 700 | 1 | |a Paniagua Zudaire, Inmaculada |e investigator |4 oth | |
| 700 | 1 | |a Añez Sturchio, Gustavo |e investigator |4 oth | |
| 700 | 1 | |a Medina Varo, Fermín |e investigator |4 oth | |
| 700 | 1 | |a Gandía Martínez, Myriam |e investigator |4 oth | |
| 700 | 1 | |a Romero Pérez, Antonio |e investigator |4 oth | |
| 700 | 1 | |a Ballina, Javier |e investigator |4 oth | |
| 700 | 1 | |a Brandy García, Anahy |e investigator |4 oth | |
| 700 | 1 | |a Fábregas Canales, Dolores |e investigator |4 oth | |
| 700 | 1 | |a Font Gayá, Teresa |e investigator |4 oth | |
| 700 | 1 | |a Bordoy Ferrer, Carolina |e investigator |4 oth | |
| 700 | 1 | |a González Álvarez, Beatriz |e investigator |4 oth | |
| 700 | 1 | |a Casas Hernández, Laura |e investigator |4 oth | |
| 700 | 1 | |a Álvarez Reyes, Fátima |e investigator |4 oth | |
| 700 | 1 | |a Delgado Sánchez, Mónica |e investigator |4 oth | |
| 700 | 1 | |a Martínez Dubois, Cristina |e investigator |4 oth | |
| 700 | 1 | |a Sánchez-Fernández, Simón Ángel |e investigator |4 oth | |
| 700 | 1 | |a Rojas Vargas, Luisa Marena |e investigator |4 oth | |
| 700 | 1 | |a García Morales, Paula Virginia |e investigator |4 oth | |
| 700 | 1 | |a Olivé, Alejandro |e investigator |4 oth | |
| 700 | 1 | |a Rubio Muñoz, Paula |e investigator |4 oth | |
| 700 | 1 | |a Larrosa, Marta |e investigator |4 oth | |
| 700 | 1 | |a Navarro Ricos, Noemí |e investigator |4 oth | |
| 700 | 1 | |a Graell Martín, Eduard |e investigator |4 oth | |
| 700 | 1 | |a Chamizo, Eugenio |e investigator |4 oth | |
| 700 | 1 | |a Chaves Chaparro, Lara |e investigator |4 oth | |
| 700 | 1 | |a Rojas Herrera, Sara |e investigator |4 oth | |
| 700 | 1 | |a Pons Dolset, Jordi |e investigator |4 oth | |
| 700 | 1 | |a Polo Ostariz, Miguel Ángel |e investigator |4 oth | |
| 700 | 1 | |a Ruiz-Alejos Garrido, Susana |e investigator |4 oth | |
| 700 | 1 | |a Macía Villa, Cristina |e investigator |4 oth | |
| 700 | 1 | |a Cruz Valenciano, Ana |e investigator |4 oth | |
| 700 | 1 | |a González Gómez, María Luisa |e investigator |4 oth | |
| 700 | 1 | |a Morcillo Valle, Mercedes |e investigator |4 oth | |
| 700 | 1 | |a Palma Sánchez, Deseada |e investigator |4 oth | |
| 700 | 1 | |a Moreno Martínez, María José |e investigator |4 oth | |
| 700 | 1 | |a Mayor González, Marta |e investigator |4 oth | |
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