[Validation of an algorithm to calculate the absolute risk of non-vertebral fragility fractures in a cohort of postmenopausal women]

Auteurs :	Joan Vila, Fernando Marín, Jesús González-Macías, Dionisio Martín, Sandra Tojeiro, Adolfo Díez-Pérez
Langue :	Spa.
Date :	2009-10-13
Journal :	Medicina clinica (0025-7753)
Release:	Med Clin (Barc). 2009 Oct;133(13):501-5
Abstract:	BACKGROUND AND OBJECTIVES: Absolute risk estimate for fractures in the individual subject provides meaningful information for interventions. Recently, we have described an algorithm to calculate the absolute risk for non-vertebral fractures in women from Spain, aged 65 years or older, that includes clinical parameters and quantitative bone ultrasound values of the calcaneus (URL: www.ecosap.info). We assessed the performance of the algorithm by means of the statistical analysis of the model calibration. SUBJECTS AND METHODS: The algorithm was the result of the prospective analysis of 5.195 women who were attended for any reason in Primary Care Centres and followed-up for 3 years. Model calibration was evaluated by comparing number of estimated (E) cases predicted with the equation with the number of observed (O) cases, and its accuracy to discriminate women with and without a new fracture. RESULTS: No evidence of statistically significant miscalibration of the model was observed. The E/O ratio was 1,02 (CI 95%: 0,91-1,14). Calibration chi(2) value (difference between the estimated and observed cases) did not reach statistical significance. Area under the curve-ROC was approximately 0.67. CONCLUSIONS: These results suggest a good calibration of the proposed algorithm for non-vertebral fracture prediction. It would be desirable to calibrate it with an independent cohort to definitively test its external validity.
Copyright:	Medicina clinica Unidad de Estadística, Institut Municipal d'Investigació Mèdica, Barcelona, España. jvila imim.es
Full text:	DOI - Medicina clinica (DOI) Ediciones Doyma, S.L. - HTML (a besoin d'abonnement) Elsevier Science - HTML (a besoin d'abonnement)
Sujets:	sujet âgé, algorithme, femelle, Fractures, Stress, humains, postménopause, Prospective Studies, Risk Assessment