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Table 1 Demographic and clinical and laboratory results

From: Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance

 

All

Rapid progressors

Non-rapid progressors

p value

(n = 382)

(n = 39)

(n = 343)

Age (years)

53.6 ± 0.6

54.1 ± 1.6

53.5 ± 0.6

NS

Female gender (%)

54.19

64.10

53.06

NS

Hispanic race (%)*

31.15

15.38

32.94

0.039

Enrollment site*

382

39

343

<0.001

 Site 1

80

5

75

 Site 2

46

15

31

 Site 3

54

1

53

 Site 4

46

7

39

 Site 5

45

8

37

 Site 6

83

3

80

 Site 7

28

0

28

Hypertension (%)

248 (64.9 %)

21 (53.8 %)

227 (66.2 %)

NS

On lipid lowering therapy (%)

123 (32.4 %)

9 (23.1 %)

114 (33.4 %)

NS

Known vascular disease (%)

7 (1.8 %)

0 (0 %)

7 (2.0 %)

NS

Weight (kg)

92.8 ± 0.9

90.1 ± 2.6

93.1 ± 0.9

NS

Mean arterial pressure (mmHg)

90.7 ± 0.6

90.9 ± 1.6

90.7 ± 0.6

NS

HbA1c (%)

5.48 ± 0.02

5.37 ± 0.05

5.50 ± 0.02

NS

Plasma creatinine*

0.74 ± 0.02

0.87 ± 0.3

0.72 ± 0.03

0.025

Urine mean microalbumin*

14.6 ± 1.0

11.0 ± 2.7

15.0 ± 1.1

0.019

PAI-1*

15.2 ± 0.5

14.7 ± 3.1

15.2 ± 0.4

0.02

Pioglitazone treatment (%)

49.21

46.15

49.56

NS

Baseline CIMT (μM)

759 ± 8

750 ± 29

760 ± 08

NS

Change in CIMT (μM)*

11.1 ± 25.9

58.0 ± 17.5

5.8 ± 17.5

<0.001

  1. *p < 0.05; NS- not significant, HbA1c- glycated hemoglobin, PAI-1-plasminogen activator inhibitor-1, CIMT-carotid intima-media thickness