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Table 1 Patient characteristics and demographic information

From: Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomics

Parameter

Non-diabetic

Type 2 diabetic

Age

61.97 ± 2.449

61.16 ± 3.047

Sex

Male = 26, female = 4

Male = 15, female = 5

BMI (kg/m2)

29.13 ± 1.08

29.14 ± 1.448

Coronary artery disease

73.33% ± 8.212%

100% ± 0.0%*

Hypertension

86.67% ± 6.312%

94.74% ± 5.263%

Valvular disease

26.67% ± 8.212%

15.79% ± 8.595%

HbA1c

5.567 ± 0.07898

8.016 ± 0.4024*

  1. Groups are considered significantly different if P ≤ 0.05 = * compared to non-diabetic. All data are presented as the mean ± standard error of the mean (SEM)
  2. HbA1c: glycated hemoglobin
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Cardiovascular Diabetology

ISSN: 1475-2840