Erschienen in:
01.01.2011 | Original Article
Importance of bone mineral density measurements in evaluating fragility bone fracture risk in Asian Indian men
verfasst von:
K. Kuruvilla, A. M. Kenny, L. G. Raisz, J. E. Kerstetter, R. S. Feinn, T. V. Rajan
Erschienen in:
Osteoporosis International
|
Ausgabe 1/2011
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Abstract
Summary
We evaluated the effect of BMD on fracture risk prediction using FRAX® among Asian Indian men when used in conjunction with clinical risk factors. A majority of our subjects were either osteopenic or osteoporotic, and their fracture risk increased when FRAX® was used in conjunction with femur neck T-scores.
Introduction
Asian Indian men living in the United States may represent a population that is at high and underappreciated risk for fragility bone fractures.
Purpose
To evaluate the effect of BMD on fracture risk prediction using FRAX® among Asian Indian men when used in conjunction with clinical risk factors.
Methods
Forty four Asian Indian men (mean age 64.9 (±8.4) years) who had lived in the United States for an average of 33.6 (±10.6) years underwent BMD measurement at the proximal femur. Subjects were subjected to a general physical exam and history of fracture, hip fracture in a parent, current smoking and alcohol use, and diagnosis of inflammatory arthritis was obtained. Data from each subject were entered into the FRAX® algorithm and 10-year fracture probabilities were calculated using clinical risk factors (CRFs) alone and in combination with femur neck T-scores.
Results
Thirteen subjects (29.5%) had femur neck T-scores ≥ −1.0, 28 (63.6%) T-scores between −1.0 and −2.5, and three (6.8%) T-scores < −2.5. The 10-year probability of a major osteoporotic fracture based on a combination of clinical risk factors and femur neck T-scores was significantly higher than the fracture probability based on clinical risk factors alone (t(43) = 2.58, p = 0.01).
Conclusions
Among Asian Indian men, the 10-year probability of a major osteoporotic fracture increases when femur neck T-scores are added to clinical risk factors in the FRAX® algorithm, and this population have a high fracture probability even in the absence of clinical risk factors.