The effect of including quantitative heel ultrasound in models for estimation of 10-year absolute risk of fracture.

TitleThe effect of including quantitative heel ultrasound in models for estimation of 10-year absolute risk of fracture.
Publication TypeJournal Article
Year of Publication2009
AuthorsMoayyeri, A, Kaptoge, S, Dalzell, N, Luben, RN, Wareham, NJ, Bingham, S, Reeve, J, Khaw, KTee
JournalBone
Volume45
Issue2
Pagination180-4
Date Published2009 Aug
ISSN1873-2763
KeywordsAdult, Aged, Calcaneus, Female, Fractures, Bone, Humans, Male, Middle Aged, Models, Biological, Proportional Hazards Models, Regression Analysis, Risk Factors, Sex Characteristics, Time Factors, Ultrasonography
Abstract

The role of quantitative ultrasound (QUS) in clinical practice is debatable. An unanswered question is that whether combining QUS and BMD measurements could improve the prediction of fracture risk. We examined this in a sample of men and women in the European Prospective Investigation into Cancer (EPIC)-Norfolk who had both heel QUS and hip DXA between 1995 and 1997 and were followed for any incident fracture up to 2007. From 1455 participants (703 men) aged 65-76 years at baseline, 79 developed a fracture over 10.3+/-1.4 years of follow-up. Two separate sex-stratified Cox proportional-hazard models were used including clinical risk factors and total hip BMD. Heel broadband ultrasound attenuation (BUA) was also included in the second model. Global measures of model fit, area under ROC curve, and the Hosmer-Lemeshow statistic showed relative superiority of the model including BUA. Using each model, we calculated 10-year absolute risk of fracture for all participants and categorized them in groups of < 5%, 5% to < 15%, and > or = 15%. Comparison of groupings showed a total re-classification of 16.6% of participants after inclusion of BUA with the greatest re-classification (30.7%) among the group with intermediate risk. Adding a QUS measurement to models based on clinical risk factors and BMD improves the predictive power of models and suggests that further attention should be paid to QUS as a clinical tool for fracture risk assessment.

DOI10.1016/j.bone.2009.05.001
Alternate JournalBone
Citation Key10.1016/j.bone.2009.05.001
PubMed ID19427923
Grant ListRG/08/014/24067 / / British Heart Foundation / United Kingdom
MC_U106179471 / / Medical Research Council / United Kingdom
G9321536 / / Medical Research Council / United Kingdom
/ / Cancer Research UK / United Kingdom
G0401527 / / Medical Research Council / United Kingdom