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. 2023 Jan 5;13:1099302. doi: 10.3389/fendo.2022.1099302

Table 5.

Model performance statistics in training dataset.

Models AUC Sensitivity Specificity PPV NPV P value
(95%CI) (95%CI) (95%CI) (95%CI) (95%CI)
Model 0.722 0.571 0.741 0.317 0.891 /
0.696-0.748 0.526-0.617 0.722-0.790 0.286-0.349 0.877-0.906
Model+SBP 0.723 0.670 0.643 0.284 0.902 0.605
0.698-0.749 0.627-0.714 0.622-0.663 0.257-0.311 0.887-0.917
Model+LDL-C 0.726 0.765 0.557 0.267 0.918 0.247
0.700-0.752 0.726-0.804 0.536-0.578 0.243-0.291 0.903-0.933
Model+HbA1c 0.721 0.563 0.752 0.324 0.891 0.107
0.695-0.747 0.517-0.608 0.734-0.770 0.291-0.356 0.876-0.905
Model+SBP+HbA1c+LDL-C 0.726 0.776 0.550 0.267 0.921 0.286
0.700-0.752 0.738-0.814 0.529-0.571 0.243-0.291 0.906-0.936

SBP, systolic blood pressure; LDL-C, low-density lipoprotein cholesterol; HbA1c, glycated hemoglobin; AUC, area under the curve; PPV, positive predictive value; NPV, negative predictive value; CI, Confidence Interval. Symbol "/" means that "Model" is used as the reference object for AUC comparison.