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1.
BMC Musculoskelet Disord ; 17: 262, 2016 06 17.
Artículo en Inglés | MEDLINE | ID: mdl-27317560

RESUMEN

BACKGROUND: The FRAX® tool estimates the risk of a fragility fracture among the population and many countries have been evaluating its performance among their populations since its creation in 2007. The purpose of this study is to update the first FRIDEX cohort analysis comparing FRAX with the bone mineral density (BMD) model, and its predictive abilities. METHODS: The discriminatory ability of the FRAX was assessed using the 'area under curve' of the receiver operating characteristic (AUC-ROC). Predictive ability was assessed by comparing estimated risk fractures with incidence fractures after a 10-year follow up period. RESULTS: One thousand three hundred eight women ≥ 40 and ≤ 90 years followed up during a 10-year period. The AUC for major osteoporotic fractures using FRAX without DXA was 0.686 (95 % CI 0.630-0.742) and using FN T-score of DXA 0.714 (95 % CI 0.661-0.767). Using only the traditional parameters of DXA (FN T-score), the AUC was 0.706 (95 % CI 0.652-0.760). The AUC for hip osteoporotic fracture was 0.883 (95 % CI 0.827-0.938), 0.857 (95 % CI 0.773-0.941), and 0.814 (95 % CI 0.712-0.916) respectively. For major osteoporotic fractures, the overall predictive value using the ratio Observed fractures/Expected fractures calculated with FRAX without T-score of DXA was 2.29 and for hip fractures 2.28 and with the inclusion of the T-score 2.01 and 1.83 respectively. However, for hip fracture in women < 65 years was 1.53 and 1.24 respectively. CONCLUSIONS: The FRAX tool has been found to show a good discriminatory capacity for detecting women at high risk of fragility fracture, and is better for hip fracture than major fracture. The test of sensibility shows that it is, at least, not inferior than when using BMD model alone. The predictive capacity of FRAX tool needs some adjustment. This capacity is better for hip fracture prediction and better for women < 65 years. Further studies in Catalonia and other regions of Spain are needed to fine tune the FRAX tool's predictive capability.


Asunto(s)
Densidad Ósea , Toma de Decisiones Clínicas/métodos , Cuello Femoral/fisiopatología , Fracturas de Cadera/epidemiología , Fracturas Osteoporóticas/epidemiología , Absorciometría de Fotón , Anciano , Algoritmos , Área Bajo la Curva , Femenino , Cuello Femoral/diagnóstico por imagen , Estudios de Seguimiento , Humanos , Incidencia , Persona de Mediana Edad , Valor Predictivo de las Pruebas , Curva ROC , Medición de Riesgo/métodos , Factores de Riesgo , España/epidemiología
2.
Med Clin (Barc) ; 145(11): 465-70, 2015 Dec 07.
Artículo en Español | MEDLINE | ID: mdl-25978925

RESUMEN

BACKGROUND AND OBJECTIVE: To analyse differences in the incidence of hip fracture in people older than 65 years in the 17 autonomous communities (AA. CC.) (regions) of the Spanish state in the 1997-2010 period. MATERIAL AND METHODS: Ecological, observational and retrospective study that includes people≥65 year old who have suffered a hip fracture in Spain over 14 years. These records are taken from the minimum basic data set of patients treated in all hospitals of Spain. RESULTS: The analysis include 534,043 hip fractures in≥65 year olds (414,518 women and 119,525 men). A percentage of 85.4 of hip fractures occurred in people≥75 years (86.7% women; 80.7% men). The adjusted hip fracture rate/100,000/year was 722.6 in women and 284.8 in men. AA. CC. with women above the average of the country were 7, including Catalonia, Comunidad Valenciana and Castilla-La Mancha. Six AA. CC. had patients below the average, including Canary Islands and Galicia. In AA. CC. with highest and lowest adjusted hip fracture rate/100,000/year, the difference was 44% lower in women (Canary vs. Castilla-La Mancha) and 50% lower in men (Galicia vs. Catalonia). CONCLUSIONS: The analysis of the incidence of hip fracture in Spain in people≥65 year old shows a significant variability between AA. CC. Except in Canary Islands, this variability is difficult to explain only by factors such as population age, sun exposure or north-south gradient. Additional studies are needed to analyse the causes of these important differences between Spanish AA. CC.


Asunto(s)
Fracturas de Cadera/epidemiología , Distribución por Edad , Anciano , Anciano de 80 o más Años , Femenino , Geografía Médica , Humanos , Incidencia , Masculino , Fracturas Osteoporóticas/epidemiología , Sistema de Registros , Estudios Retrospectivos , Distribución por Sexo , España/epidemiología
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