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Comparison between real-world practice and application of the FRAX algorithm in the treatment of osteoporosis

BACKGROUND AND AIMS: The most recent guidelines suggest treating patients whose FRAX 10-year fracture risk scores are ≥ 20%. However, this method of evaluation does not take into account parameters that are nonetheless relevant to the therapeutic choice. Our aim was to compare the therapeutic choice...

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Autores principales: Zoccarato, Francesca, Ceolin, Chiara, Trevisan, Caterina, Citron, Anna, Haxhiaj, Labjona, Guarnaccia, Aurelio, Panozzo, Matteo, Campodall’Orto, Carlotta, Coin, Alessandra, Giannini, Sandro, Sergi, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675657/
https://www.ncbi.nlm.nih.gov/pubmed/35972688
http://dx.doi.org/10.1007/s40520-022-02212-x
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author Zoccarato, Francesca
Ceolin, Chiara
Trevisan, Caterina
Citron, Anna
Haxhiaj, Labjona
Guarnaccia, Aurelio
Panozzo, Matteo
Campodall’Orto, Carlotta
Coin, Alessandra
Giannini, Sandro
Sergi, Giuseppe
author_facet Zoccarato, Francesca
Ceolin, Chiara
Trevisan, Caterina
Citron, Anna
Haxhiaj, Labjona
Guarnaccia, Aurelio
Panozzo, Matteo
Campodall’Orto, Carlotta
Coin, Alessandra
Giannini, Sandro
Sergi, Giuseppe
author_sort Zoccarato, Francesca
collection PubMed
description BACKGROUND AND AIMS: The most recent guidelines suggest treating patients whose FRAX 10-year fracture risk scores are ≥ 20%. However, this method of evaluation does not take into account parameters that are nonetheless relevant to the therapeutic choice. Our aim was to compare the therapeutic choices for treatment based on a wider assessment (real-world practice) with those based on FRAX scores, taking 20% as the cut-off score. METHODS: We obtained the medical history, bone mineral density (BMD) values, and the presence of major fragility fractures in a sample of 856 postmenopausal women. The 10-year FRAX risk of major osteoporotic fracture was calculated, and patients were grouped into risk classes (“FRAX < 20%” = low, “FRAX ≥ 20%” = high); we then compared the treated and untreated patients in each class. After an average interval of 2.5 years, changes in lumbar and femoral BMD and appearances of new fragility fractures were recorded. RESULTS: 83% of high-risk patients and 57% of low-risk patients were treated. The therapeutic decision was based mainly on densitometric values and the presence of vertebral fractures. At the 2.5 year follow-up, lumbar spine and femur BMD had decreased in the untreated group; 9.9% of the treated patients developed new vertebral fragility fractures, compared with 5.3% of the untreated patients. DISCUSSION AND CONCLUSIONS: Our wider assessment designated as at high fracture risk a group of patients who had not been identified by the FRAX assessment. FRAX could underestimate the risk of fracture in older people, for which the therapeutic choice should consider a broader approach, also based on individual patient’s needs.
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spelling pubmed-96756572022-11-21 Comparison between real-world practice and application of the FRAX algorithm in the treatment of osteoporosis Zoccarato, Francesca Ceolin, Chiara Trevisan, Caterina Citron, Anna Haxhiaj, Labjona Guarnaccia, Aurelio Panozzo, Matteo Campodall’Orto, Carlotta Coin, Alessandra Giannini, Sandro Sergi, Giuseppe Aging Clin Exp Res Original Article BACKGROUND AND AIMS: The most recent guidelines suggest treating patients whose FRAX 10-year fracture risk scores are ≥ 20%. However, this method of evaluation does not take into account parameters that are nonetheless relevant to the therapeutic choice. Our aim was to compare the therapeutic choices for treatment based on a wider assessment (real-world practice) with those based on FRAX scores, taking 20% as the cut-off score. METHODS: We obtained the medical history, bone mineral density (BMD) values, and the presence of major fragility fractures in a sample of 856 postmenopausal women. The 10-year FRAX risk of major osteoporotic fracture was calculated, and patients were grouped into risk classes (“FRAX < 20%” = low, “FRAX ≥ 20%” = high); we then compared the treated and untreated patients in each class. After an average interval of 2.5 years, changes in lumbar and femoral BMD and appearances of new fragility fractures were recorded. RESULTS: 83% of high-risk patients and 57% of low-risk patients were treated. The therapeutic decision was based mainly on densitometric values and the presence of vertebral fractures. At the 2.5 year follow-up, lumbar spine and femur BMD had decreased in the untreated group; 9.9% of the treated patients developed new vertebral fragility fractures, compared with 5.3% of the untreated patients. DISCUSSION AND CONCLUSIONS: Our wider assessment designated as at high fracture risk a group of patients who had not been identified by the FRAX assessment. FRAX could underestimate the risk of fracture in older people, for which the therapeutic choice should consider a broader approach, also based on individual patient’s needs. Springer International Publishing 2022-08-16 2022 /pmc/articles/PMC9675657/ /pubmed/35972688 http://dx.doi.org/10.1007/s40520-022-02212-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Zoccarato, Francesca
Ceolin, Chiara
Trevisan, Caterina
Citron, Anna
Haxhiaj, Labjona
Guarnaccia, Aurelio
Panozzo, Matteo
Campodall’Orto, Carlotta
Coin, Alessandra
Giannini, Sandro
Sergi, Giuseppe
Comparison between real-world practice and application of the FRAX algorithm in the treatment of osteoporosis
title Comparison between real-world practice and application of the FRAX algorithm in the treatment of osteoporosis
title_full Comparison between real-world practice and application of the FRAX algorithm in the treatment of osteoporosis
title_fullStr Comparison between real-world practice and application of the FRAX algorithm in the treatment of osteoporosis
title_full_unstemmed Comparison between real-world practice and application of the FRAX algorithm in the treatment of osteoporosis
title_short Comparison between real-world practice and application of the FRAX algorithm in the treatment of osteoporosis
title_sort comparison between real-world practice and application of the frax algorithm in the treatment of osteoporosis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675657/
https://www.ncbi.nlm.nih.gov/pubmed/35972688
http://dx.doi.org/10.1007/s40520-022-02212-x
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