Table 3.
Diagnostic value of BMI, GCA, and skeletal muscle index for predicting low lean mass
| Sensitivity, Specificity, Positive and Negative Predictive Values and Receiver Operating Curve Model of the BMI, GCA, L3SMI, MSMI and combination of BMI, GCA and skeletal muscle index (either L3SMI or MSMI). | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Variable1 | Sensitivity | Specificity | PPV | NPV | +LR | -LR | Accuracy | SE | AUC (95%CI) |
| BMI | 0.790 | 0.628 | 0.722 | 0.733 | 2.121 | 0.335 | 0.704 | 0.051 | 0.777 (0.672, 0.863) |
| GCA | 0.684 | 0.837 | 0.788 | 0.750 | 4.203 | 0.377 | 0.765 | 0.046 | 0.820 (0.713, 0.892) |
| L3SMI | 0.622 | 0.791 | 0.719 | 0.708 | 2.970 | 0.479 | 0.713 | 0.054 | 0.757 (0.654, 0.851) |
| MSMI | 0.865 | 0.707 | 0.844 | 0.778 | 2.955 | 0.191 | 0.782 | 0.049 | 0.827 (0.732, 0.908) |
| Model 1a | 0.919 | 0.837 | 0.829 | 0.923 | 5.645 | 0.097 | 0.875 | 0.028 | 0.926 (0.844, 0.972) |
| Model 2b | 0.919 | 0.830 | 0.853 | 0.917 | 6.279 | 0.095 | 0.885 | 0.029 | 0.931 (0.857,0.979) |
Abbreviations: AUC Area under the curve, BMI Body mass index, GCA Global cortical atrophy, L3SMI L3 skeletal muscle index, MSMI Masseter skeletal muscle index, NPV Negative predictive values, PPV Positive predictive values, SE Standard error, +LR Positive likelihood ratio, −LR Negative likelihood ratio
1Significantly different with all variables (p < 0.05)
aModel 1: combination of BMI, GCA and L3SMI
bModel 2: combination of BMI, GCA and MSMI