Table 2 Performance of related risk factors of CVD.

From: Study of cardiovascular disease prediction model based on random forest in eastern China

Variables

Threshold

Specificity

Sensitivity

AUC

95%CI

Age

61.50

0.7134

0.5962

0.6916

0.6515–0.7316

SBP

156.75

0.7261

0.5735

0.6478

0.6075–0.688

DBP

88.25

0.7006

0.5493

0.6525

0.6138–0.6912

FBG

6.36

0.6433

0.3997

0.5032

0.4565–0.55

HDL

1.39

0.5350

0.5023

0.5081

0.4621–0.5541

LDL

2.55

0.5924

0.4952

0.5691

0.525–0.6132

TC

4.31

0.4777

0.6556

0.5757

0.5296–0.6218

TG

1.35

0.5350

0.5123

0.5194

0.4752–0.5635

BMI

24.89

0.6433

0.4774

0.5596

0.5153–0.604

Waistline

84.05

0.5287

0.5056

0.5215

0.4756–0.5675

HR

72.25

0.4904

0.5776

0.5392

0.4903–0.5881

PEF

291.00

0.5096

0.5989

0.5659

0.5184–0.6134

  1. AUC, Area under the curve; SBP, systolic blood pressure; DBP, diastolic blood pressure; FBG, Fasting plasma glucose; HDL, High density lipoprotein; LDL, Low density lipoprotein; TC, Total cholesterol; TG, triglycerides; BMI, body mass index; HR, Heart rate; PEF, peak expiratory flow. Uni-variate ROC curve was used to analyze the prediction ability of key continuous variables.
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