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Table 1 Baseline characteristic of the patients

From: Building a model for predicting metabolic syndrome using artificial intelligence based on an investigation of whole-genome sequencing

 

No metabolic syndrome (N = 518)

Metabolic syndrome (N = 124)

P-value

AGE(Years)

44.48 ± 10.19

51.76 ± 10.02

< 0.001

HEIGHT(cm)

165.44 ± 7.89

165.26 ± 8.63

0.831

WEIGHT(Kg)

64.7 ± 11.44

75.92 ± 12.89

< 0.001

WAISTLINE(cm)

81.61 ± 9.11

93.03 ± 8.81

< 0.001

SBP(mmHg)

111.43 ± 13.86

130.28 ± 16.89

< 0.001

DBP(mmHg)

70.76 ± 9.69

81.92 ± 12

< 0.001

HBA1C(%)

5.57 ± 0.51

6.28 ± 1.21

< 0.001

FASTING_GLUCOSE

91.56 ± 11.69

111.7 ± 31.5

< 0.001

Total cholesterol

190.68 ± 33.28

199.02 ± 40.62

0.036

TG

93.39 ± 54.47

211.32 ± 151.67

< 0.001

HDL_C

55.47 ± 13.8

42.23 ± 9.95

< 0.001

LDL_C

120.61 ± 31.01

122.8 ± 38.01

0.553

BUN

11.98 ± 3.29

13.68 ± 3.87

< 0.001

CREATININE

0.73 ± 0.19

0.81 ± 0.28

0.005

URIC_ACID

5.43 ± 1.39

6.43 ± 1.52

< 0.001

SEX(female)

231(45%)

49(40%)

0.402

Diabetes(%)

0(0%)

15(12%)

< 0.001

  1. P values are calculated from t-test for continuous variables or from chi-square test for categorical
  2. Variables. SBP, systolic blood pressure; DBP, diastolic blood pressure; HDL_C, high density lipoprotein; LDL_C, low density lipoprotein; BUN, blood urea nitrogen