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Table 3 Baseline information

From: Discussion on machine learning technology to predict tacrolimus blood concentration in patients with nephrotic syndrome and membranous nephropathy in real-world settings

Feature

n

(%)

Independent Variable

Blood Concentration of TAC, n, Class 1

1292

70.64

Class 0

537

29.36

Demographic Information

Age, yr, median (IQR)

53 (39, 64)

–

Weight, kg, median (IQR)

72 (64, 80)

–

Height, cm, median (IQR)

170 (162, 174)

–

FK506, mg, median (IQR)

1.5 (1, 2)

–

Sex, Male

1241

67.85

Female

588

32.15

Laboratory Information

SC, μmol/L, median (IQR)

80.9 (65.8, 103.1)

–

Combined Medication

CαK, n, Class 1

158

8.64

Class 0

1671

91.36

SYKF, n, Class 1

110

6.01

Class 0

1719

93.99

SYS, n, Class 1

225

12.30

Class 0

1604

87.70

SSN, n, Class 1

119

6.51

Class 0

1710

93.49

HK, n, Class 1

824

45.05

Class 0

1005

54.95

BL, n, Class 1

724

39.58

Class 0

1105

60.42

Pidotimod, n, Class 1

851

46.53

Class 0

978

53.47

MPS, n, Class 1

537

29.36

Class 0

1292

70.64

PA, n, Class 1

294

16.07

Class 0

1535

83.93

MM, n, Class 1

19

1.04

Class 0

1810

98.96

TG, n, Class 1

43

2.35

Class 0

1786

97.65

  1. SC serum creatinine; CαK compound α-ketoacid; SYKF Shenyankangfu; SYS ShenYanShu; SSN Shenshuaining; HK Huangkui; BL Bailing; MPS methylprednisolone; PA prednisone acetate; MM mycophenolate mofetil; TG tripterygium glycoside