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Table 1 Clinical characteristics of enrolled study subjects

From: A machine-learning approach to predict postprandial hypoglycemia

  Type-1 diabetes (55 three-day CGM datasets in 52 patients) Type-2 diabetes (52 three-day CGM datasets in 52 patients)
Age (year) 40.0 (29.0-52.0) 63.5 (54.3-68.0)
Sex (male:female) 21:34* 21:31
Body weight (kg) 60.48 (52.35-69.41) 60.75 (54.60-70.37)
BMI (kg/ m2) 22.85 ±3.26 24.60 ±2.62
Duration of diabetes (years) 11.0 (6.0-18.0) 19.0 (13.3-25.0)
Insulin therapy (with insulin therapy: without insulin therapy) 55*:0 43:9
Insulin regimen basal:intermediate-acting: premix:MDI:CSII 3:1:6:44:1 20:3:11:9:0
Daily insulin dose (IU/day) 42.3 ±17.7 28.6 ±18.1
Daily insulin dose per body weight (IU/day/kg) 0.68 (0.53-0.82) 0.50 (0.30-0.60)
eGFR (ml/min/1.73 m2) 83.05 (71.98-96.95) 70.40 (51.30-82.50)
End stage renal disease [n (%)] 4 (7.3) 2 (3.8)
Liber cirrhosis [n (%)] 2 (3.6) 0 (0.0)
Heart failure with reduced ejection fraction [n (%)] 0 (0.0) 1 (1.9)
Pancreatic resection [n (%)] 2 (3.6)† 0 (0.0)
Acute infection [n (%)] 0 (0.0) 1 (1.9)
Pregnancy [n (%)] 1 (1.8) 0 (0.0)
Hemoglobin A1C (%) 7.94 ±1.13 8.31 ±1.32
C-peptide (ng/mL) 0.02 (0.02-0.15) 1.46 (0.80-2.44)
  1. Continuous variables with normal distributions are expressed as mean ± standard deviation, whereas continuous variables with non-normal distributions were expressed as median (interquartile range)
  2. *Three female patients on insulin therapy were included twice because they participated twice
  3. One of these two patients underwent total pancreatectomy; the other went through Whipple’s operation. Abbreviations: CGM, continuous glucose monitoring; BMI, body mass index; MDI, multiple daily injections; CSII, continuous subcutaneous insulin infusion; eGFR, estimated glomerular filtration rate