Table 1 Comparison of characteristics between hypoglycemia and non-hypoglycemia groups.

From: Predictive factors of hypoglycemia in type 2 diabetes: a prospective study using machine learning

Variables

Non-hypoglycemia (n = 887)

Hypoglycemia (n = 419)

P value

Age, years

61 [55–68]

64 [58–71]

 < 0.001

Male, n (%)

454 (51.2%)

176 (42.0%)

0.32

Diabetes duration, years

11 [6–15.42]

16.12 [13–21]

 < 0.001

Insulin therapy, n (%)

208 (22.8%)

342 (86.1%)

 < 0.001

BMI, kg/m2

28.04 [25.3–31.23]

28.26 [25.29–31.99]

0.139

HbA1C, mg/dl

7.33 [7–8.2]

8 [7–8.1]

0.024

Total cholesterol, mg/dl

149 [126–178]

144 [122–165]

 < 0.001

Triglycerides, mg/dl

138 [106–181]]

130 [97–168]

 < 0.001

eGRF, mL/min/1.73 m2

70 [60.97–84.78]

62.45 [49.84–74.35]

 < 0.001

Antidiabetic drug therapy

 IIT with SGLT2 inhibitors, DPP-4 inhibitors, or biguanide, n (%)

151 (17%)

(173) 41.2%

 < 0.001

 Basal insulin with SGLT2 inhibitors, DPP-4 inhibitors, or biguanide, n (%)

144 (16.2%)

93 (22.1%)

0.36

 IIT with sulfonylureas, n (%)

0

20 (4.7%)

0.08

 Sulfonylureas with biguanide, or SGLT2 inhibitors, n (%)

98 (11%)

133 (31.7%)

 < 0.001

 DPP-4 inhibitors with biguanide, n (%)

88 (9.9%)

0

0.003

 SGLT2 inhibitors with biguanide, n (%)

407 (45.8%)

0

 < 0.001

  1. Results are expressed as the number of participants (percentage) for categorical variables and as the median [interquartile range] for continuous variables. Between-group comparisons were performed using chi-square for categorical variables and the Mann–Whitney U Test for continuous variables. BMI: body mass index, eGFR: estimated glomerular filtration. IIT: intensive insulin therapy.