Table 4.
Sensitivity, specificity, and positive and negative predictivevalues also area under the ROC curve for quantitative variable.
| Variable | Sensitivity (%) (95% CI) | Specificity (%) (95% CI) | PPV (%) (95% CI) | NPV (%) (95% CI) | AUC ± SD, P Value |
|---|---|---|---|---|---|
| WBC | |||||
| ≥6000 mic/lit | 77 (67–84) | 37 (31–43) | 29 (24–35) | 82 (74–88) | 0.58 ± 0.033, P = 0.016 |
| HTN | 63 (54–72) | 47 (41–54) | 33 (27–40) | 76 (69–83) | |
| Family history | 32 (23–43) | 71 (65–76) | 28 (21–38) | 74 (68–79) | |
| DM | 16 (9–24) | 88 (83–91) | 32 (20–47) | 74 (69–79) | |
| Smoking | 48 (38–57) | 59 (53–65) | 32 (25–39) | 74 (67–79) | |
| BMI ≥ 29 kg/m2 | 40 (30–50) | 77 (72–82) | 40 (31–50) | 77 (71–81) | 0.55 ± 0.035, P = 0.1 |
PPV: Positive Predictive Value; NPV: Negative Predictive Value; WBC: White Blood Cell; BMI: Body Mass Index.