UNLABELLED: 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.
UNLABELLED: 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.
Authors: John A Kanis; Anders Oden; Helena Johansson; Fredrik Borgström; Oskar Ström; Eugene McCloskey Journal: Bone Date: 2009-02-03 Impact factor: 4.398
Authors: D H Solomon; M T Connelly; C J Rosen; B Dawson-Hughes; D P Kiel; S L Greenspan; E S Leib; M Holick; A H Miguel; J S Finkelstein Journal: Osteoporos Int Date: 2003-03-14 Impact factor: 4.507
Authors: John A Kanis; Olof Johnell; Chris De Laet; Bengt Jonsson; Anders Oden; Alan K Ogelsby Journal: J Bone Miner Res Date: 2002-07 Impact factor: 6.741
Authors: Rizky Suganda Prawiradilaga; Victoria Gunmalm; Trine Lund-Jacobsen; Eva Wulff Helge; Charlotte Brøns; Michael Andersson; Peter Schwarz Journal: J Osteoporos Date: 2018-10-04
Authors: Vinayak K Nahar; Kyle M Nelson; M Allison Ford; Manoj Sharma; Martha A Bass; Mary A Haskins; John C Garner Journal: J Res Health Sci Date: 2016