Skip to main content

Table 3 Comparative analysis of modeling indicators for patients using the training set and validation set

From: Construction and validation of a nomogram model for predicting the risk of recurrence in patients with lower extremity arteriosclerosis obliterans after surgical intervention

Characteristics

Training Set(n = 189)

Validation Set(n = 81)

P value

Age (years)

  

> 0.05

 < 60

83(43.92)

32(39.51)

 

 ≥ 60

106(56.08)

47(58.02)

 

BMI ≥ 24 kg/m2

99(52.38)

41(50.62)

> 0.05

Diabetes

115(60.85)

49(60.49)

> 0.05

Hypertension

118(62.43)

48(59.26)

> 0.05

Classification of lesion location

  

> 0.05

 Aortoiliac disease

67(35.45)

28(34.57)

 

 Femoropopliteal disease

45(23.81)

17(20.99)

 

Surrounding type

77(40.74)

31(38.27)

 

Antiplatelet drugs(used)

118(62.43)

47(58.02)

> 0.05

TG/(mmol/L)

2.16 ± 0.53

2.20 ± 0.56

> 0.05

FIB/(g/L)

3.32 ± 0.52

3.38 ± 0.53

> 0.05

D-D/(mg/L)

0.57 ± 0.09

0.58 ± 0.10

> 0.05

  1. BMI: Body Mass Index; TG: Triglyceride; FIB: Fibrinogen; D: D-dimer