Table 4. Classification Rules for Osteoporosis at Each Site and Odds Ratios for Jointly Associated Factors.
Femoral Neck | Lumbar Spine | Total Hip | ||||
---|---|---|---|---|---|---|
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Measures | Body Weight (kg) | p=0.0024 | Body Weight (kg) | p=0.0002 | Body Weight (kg) | p<0.0001 |
OR: 0.971 (95% CI 0.952-0.989) | OR: 0.938 (95% CI 0.908-0.970) | OR: 0.929 (95% CI 0.907-0.952) | ||||
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PG-SGA Nutrition | p=0.027 | Current Prednisone Dose (mg/kg/d) | p=0.067 | |||
OR: 0.467 (95% CI 0.238-0.916) | OR: 2.478 (95% CI 1.081-5.680) | |||||
| ||||||
Platelet Count (K/μL) | p=0.0033 | Number of Prior Systemic Therapies | p=0.0093 | Platelet Count (K/μL) | p=0.002 | |
OR: 1.005 (95% CI 1.002-1.008) | OR: 0.763 (95% CI 0.596-0.976) | OR: 1.007 (95% CI 1.002-1.011) | ||||
| ||||||
Classification Rule | X=0.0298(body weight) – 0.00453(platelet count) + 0.7619(PG-SGA nutrition) | X=0.0636(body weight) – 0.9076(current pred. dose) + 0.2710(num. prior therapies) | X=0.0733(body weight) – 0.00666(platelet count) | |||
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If x≤2.15355, then osteoporosis is present | If x≤5.0543, then osteoporosis is present | If x≤2.54149, then osteoporosis is present | ||||
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Specificity | 77.4% | 75% | 73.3% | |||
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Sensitivity | 64.5% | 63.4% | 81.5% |
Multiple logistic regression modeling was used to generate models predictive for osteoporosis at each anatomical site. Classification rules were tested using the data used to generate the models, yielding specificities and sensitivities for each.