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Table 1 Main characteristics of older adults in the training cohort and the test cohort

From: A back propagation neural network approach to estimate the glomerular filtration rate in an older population

Characteristics

Training cohort (n = 978)

Test cohort (n = 244)

Age, years

71.8 ± 6.1

71.9 ± 6.3

Males, n (%)

544 (55.62)

129 (52.87)

BSA, m2

1.7 (1.6–1.9)

1.7 (1.5–1.8)

BMI, kg/m2

24.9 (22.9−27.7)

24.6 (22.2−27.5)

Serum creatinine, µmol/L

110.15 (80.0–165.0)

116.3 (78.42–173.85)

Diabetes, n (%)

461 (47.14)

121 (49.59)

CKD, n (%)

727 (74.33)

187 (76.64)

Causes of CKD, n (%)

  

Chronic glomerulonephritis

218 (30.0)

59 (31.6)

Diabetic nephropathy

145 (19.9)

46 (24.6)

Hypertensive kidney damage

72 (9.9)

20 (10.7)

Kidney tumors

112 (15.4)

19 (10.2)

Unkown

180 (24.7)

42 (23.0)

Measured GFR, ml/min/1.73 m2

49.25 (34.79–66.94)

46.81 (32.28–65.60)

≥ 90 ml/min/1.73 m2, n (%)

47 (4.81)

15 (6.15)

60–89 ml/min/1.73 m2, n (%)

276 (28.22)

61 (25.0)

30–59 ml/min/1.73 m2, n (%)

468 (47.85)

113 (46.31)

15–29 ml/min/1.73 m2, n (%)

144 (14.72)

47 (19.26)

< 15 ml/min/1.73 m2, n (%)

43 (4.4)

8 (3.28)

  1. BSA, body surface area; CKD, chronic kidney disease; GFR, glomerular filtration rate
  2. Data are expressed as mean ± standard deviation, median (interquartile range), and percent frequency