This study aimed to compare two different classifications of the risk of fracture/osteoporosis (OP) based on quantitative ultrasound (QUS). Analyses were based on data from the Epidemiological Study on the Prevalence of Osteoporosis, a cross-sectional study conducted in 2000 aimed at assessing the risk of OP in a representative sample of the Italian population. Subjects were classified into 5 groups considering the cross-classification found in previous studies; logistic regression models were defined separately for women and men to study the fracture risk attributable to groups defined by the cross-classification, adjusting for traditional risk factors. Eight-thousand six-hundred eighty-one subjects were considered in the analyses. Logistic regression models revealed that the two classifications seem to be able to identify a common core of individuals at low and at high risk of fractures, and the importance of a multidimensional assessment in older patients to evaluate clinical risk factors together with a simple, inexpensive, radiation-free device such as QUS.
Quantitative ultrasound criteria for risk stratification in clinical practice: a comparative assessment / Accardi, A., Angeli, A., Baglio, S., Baldoncini, A., Ballardini, P., Bancheri, C., Beghe, F., Bernini, L., Bevilacqua, M., Bianchi, G., Bonomi, G., Bottai, M., Brogi, G., Candioto, G., Candiotto, S., Cecchetti, R., Serqua, R., Cervelli, S., Coaccioli, S., Coin, F., et al.. - In: ULTRASOUND IN MEDICINE AND BIOLOGY. - ISSN 0301-5629. - 38:7(2012), pp. 1138-1144. [10.1016/j.ultrasmedbio.2012.02.022]
Quantitative ultrasound criteria for risk stratification in clinical practice: a comparative assessment
SALVARANI, CARLO;
2012
Abstract
This study aimed to compare two different classifications of the risk of fracture/osteoporosis (OP) based on quantitative ultrasound (QUS). Analyses were based on data from the Epidemiological Study on the Prevalence of Osteoporosis, a cross-sectional study conducted in 2000 aimed at assessing the risk of OP in a representative sample of the Italian population. Subjects were classified into 5 groups considering the cross-classification found in previous studies; logistic regression models were defined separately for women and men to study the fracture risk attributable to groups defined by the cross-classification, adjusting for traditional risk factors. Eight-thousand six-hundred eighty-one subjects were considered in the analyses. Logistic regression models revealed that the two classifications seem to be able to identify a common core of individuals at low and at high risk of fractures, and the importance of a multidimensional assessment in older patients to evaluate clinical risk factors together with a simple, inexpensive, radiation-free device such as QUS.
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