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Risk of osteoporotic fracture in women using the FRAX tool with and without bone mineral density score in patients followed at a tertiary outpatient clinic ‒ An observational study

OBJECTIVES: Fragility fractures increase morbidity and mortality. Adding assessment of clinical risk factors independently or as a previous step to Bone Densitometry (BD) should provide better accuracy in fracture risk prediction. FRAX tool might be used to stratify patients in order to rationalize...

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Detalles Bibliográficos
Autores principales: Favarato, Maria Helena Sampaio, Almeida, Maria Flora de, Lichtenstein, Arnaldo, Martins, Milton de Arruda, Junior, Mario Ferreira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918849/
https://www.ncbi.nlm.nih.gov/pubmed/35290857
http://dx.doi.org/10.1016/j.clinsp.2022.100015
Descripción
Sumario:OBJECTIVES: Fragility fractures increase morbidity and mortality. Adding assessment of clinical risk factors independently or as a previous step to Bone Densitometry (BD) should provide better accuracy in fracture risk prediction. FRAX tool might be used to stratify patients in order to rationalize the need for BD and risk classification. The primary objective of this study is to describe and perform comparisons between the estimated risk of fractures in 10 years using the FRAX calculator based on clinical factors with and without BD results for women aged 40 or more with clinical diseases monitored in tertiary care service in internal medicine. METHODS: Cross-sectional. Women over 40 years with BD in the previous year. After medical chart review, identification of risk factors and risk estimations using FRAX-BRAZIL with (FRAX BDI) and without (FRAX BDNI) the inclusion of T-score. RESULTS: 239 women. Age 65 ± 10.35 years. BMI 29.68 ± 6.27kg/m(2). Risk factors: 32(13.4%) previous fractures; 23 (9.6%) current smoking; 78 (32.6%) corticosteroids use; 44 (18.4%) rheumatoid arthritis; 38 (15.9%) secondary causes; FRAX scores were higher when BD was not included. Spearman correlation coefficients between FRAX BDNI and FRAX BDI for major fractures r = 0.793 (95% CI 0.7388‒0.836). For hip fractures r = 0.6922 (95% CI 0.6174‒0.75446) CONCLUSION: Using FRAX to estimate 10-year fracture risk without BD data might be a reliable tool for screening, even for patients with a high prevalence of risk factors, improving accessibility and equity in health systems. The present study's data suggest an overestimation of fracture risk with FRAX BDNI, suggesting that it is safe to be widely used as a screening tool.