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©The Author(s) 2016.
World J Orthop. Sep 18, 2016; 7(9): 577-583
Published online Sep 18, 2016. doi: 10.5312/wjo.v7.i9.577
Published online Sep 18, 2016. doi: 10.5312/wjo.v7.i9.577
Table 1 Criteria for clinical decision rules and osteoporotic risk factors
SCORE | Age, body weight (kg), race, hormone therapy use, fracture history, history of rheumatoid arthritis |
ORAI | Age, body weight (kg), hormone therapy use |
OST | Age, body weight (kg) |
BW | Body weight (kg) |
OSIRIS | Age, body weight (kg), hormone therapy use, fracture history |
ABONE | Age, body size, lack of estrogen |
Table 2 Receiver operating curve analysis using international guidelines
Table 3 Receiver operating curve analysis using Greek population values for osteoporosis risk
Area | 95%CI | Cut-off | Sensitivity | Specificity | PPV | NPV | P-value | ||
SCORE1 | 0.613 | 0.576 | 0.650 | 20.75 > | 61% | 60% | 46% | 73% | < 0.0005 |
ORAI1 | 0.640 | 0.603 | 0.676 | 9.5 > | 72% | 52% | 46% | 76% | < 0.0005 |
10.5 > | 62% | 62% | 48% | 74% | |||||
ABONE1 | 0.631 | 0.595 | 0.668 | 1.5 > | 65% | 41% | 32% | 85% | < 0.0005 |
OST1 | 0.643 | 0.607 | 0.678 | -2.9 > | 77% | 46% | 45% | 78% | < 0.0005 |
BW1 | 0.592 | 0.555 | 0.630 | 70.5 < | 51% | 61% | 42% | 68% | < 0.0005 |
OSIRIS1 | 0.609 | 0.572 | 0.645 | 0.5 < | 59% | 59% | 44% | 71% | < 0.0005 |
Table 4 Receiver operating curve analysis using Greek population values for osteoporosis status
Area | 95%CI | Cut-off | Sensitivity | Specificity | PPV | NPV | P-value | ||
SCORE1 | 0.678 | 0.640 | 0.717 | 20.75 > | 72% | 60% | 36% | 87% | < 0.0005 |
ORAI1 | 0.632 | 0.591 | 0.673 | 10.5 > | 65% | 60% | 33% | 85% | < 0.0005 |
ABONE1 | 0.618 | 0.576 | 0.659 | 1.5 > | 66% | 60% | 48% | 75% | < 0.0005 |
OST1 | 0.644 | 0.604 | 0.684 | -2.9 > | 80% | 43% | 30% | 87% | < 0.0005 |
BW1 | 0.591 | 0.549 | 0.633 | 75.5 < | 69% | 41% | 26% | 81% | < 0.0005 |
OSIRIS1 | 0.641 | 0.601 | 0.681 | 0.5 < | 63% | 57% | 31% | 83% | < 0.0005 |
1.5 < | 76% | 44% | 30% | 86% | < 0.0005 |
Table 5 Multiple logistic regression model (T-score ≤ -2)
Reference category | Odds ratio | 95%CI | P-value | ||
SCORE | 20.75 < | 1.36 | 0.96 | 1.91 | 0.081 |
ORAI | 10.5 < | 1.30 | 0.8 | 2.09 | 0.287 |
ABONE | 1.5 < | 1.64 | 1.00 | 2.70 | 0.051 |
OST | -2.9 < | 1.81 | 1.14 | 2.88 | 0.012 |
BW | 70.5 > | 1.05 | 0.75 | 1.47 | 0.772 |
OSIRIS | 0.5 > | 0.78 | 0.52 | 1.16 | 0.214 |
Table 6 Multiple logistic regression model (T-score ≤ -2.5)
Reference category | Odds ratio | 95%CI | P-value | ||
SCORE | 20.75 < | 2.87 | 1.92 | 4.29 | < 0.0005 |
ORAI | 10.5 < | 1.42 | 0.81 | 2.48 | 0.215 |
ABONE | 1.5 < | 0.95 | 0.53 | 1.70 | 0.865 |
OST | -2.9 < | 1.55 | 0.90 | 2.65 | 0.115 |
BW | 70.5 > | 1.10 | 0.76 | 1.60 | 0.600 |
OSIRIS | 0.5 > | 0.88 | 0.56 | 1.39 | 0.586 |
- Citation: Christodoulou S, Drosos GI, Ververidis A, Galanos A, Anastassopoulos G, Kazakos K. Risk assessment instruments for screening bone mineral density in a Mediterranean population. World J Orthop 2016; 7(9): 577-583
- URL: https://www.wjgnet.com/2218-5836/full/v7/i9/577.htm
- DOI: https://dx.doi.org/10.5312/wjo.v7.i9.577