Skip to main content

Table 3 Onset prediction of ischemic heart disease using the logistic regression equation and the number of patients who actually developed ischemic heart disease

From: High efficient and cost-effective screening method for diabetic cardiovascular risk

 

Ischemic heart disease (+)

Ischemic heart disease (−)

Total

Logistic regression equation (+)

29

44

73

Logistic regression equation (−)

8

256

264

Total

37

300

337

  1. The cut-off value in the logistic regression equation (Y) was calculated from the receiver operating characteristic (ROC) curve. The shortest distance from the coordinates (1-specificity, sensitivity) = (0.0, 1.0) was found on the ROC curve in Figure 1. The value of the logistic regression equation (Y) corresponding to the coordinates was −1.84. The cut-off value for the logistic regression equation (Y) of −1.84 divided the outpatients into low-risk and high-risk groups according to the risk of ischemic heart disease. The outpatients were classified according to the presence or absence of ischemic heart disease.
  2. ※ Y = 2.02 × (ECG change) + 1.55 × (aortic calcification) − 1.42 × (min ABI) + 0.147 × (max IMT) − 0.041 × (LDL-C) + 0.211 × (UA) + 0.147.
Back to article page

Diabetology & Metabolic Syndrome

ISSN: 1758-5996

Contact us