Table 2 Basic participant characteristics with both serum creatinine and cystatin C available in the development, internal and external validation datasets.

From: Comparison between the EKFC-equation and machine learning models to predict Glomerular Filtration Rate

Characteristic

Development (7 cohorts, n = 4849)

Internal validation (7 cohorts, n = 1603)

External validation (6 cohorts, n = 5389)

Age (years) (mean ± SD) [range]

50.0 ± 24.0 [2.0–96.7]

48.8 ± 24.1 [2.0–94.6]

53.5 ± 24.3 [2.0–97.0]

mGFR (mL/min/1.73m2) (mean ± SD) [range]

76.6 ± 30.9 [5.7 -221.0]

78.0 ± 31.7 [4.7–254.0 ]

70.0 ± 34.5 [3—354]

SCr/Q (mean ± SD) Median [P25-P75] [range]

1.36 ± 0.82 1.11 [0.92–1.53] [0.43–11.8]

1.37 ± 0.90 1.09 [0.92–1.50] [0.27–10.59]

1.54 ± 1.15 1.15 [0.95–1.67] [0.08–12.75]

CysC/Q’ (mean ± SD) Median [P25-P75] [range]

1.31 ± 0.70 1.07 [0.87–1.47] [0.49–7.84]

1.30 ± 0.72 1.06 [0.87–1.47] [0.53–7.12]

1.62 ± 0.96 1.25 [0.99–1.92] [0.53–8.09]

% Males

56.2

55.8

51.0

BMI

24.35 ± 6.16 23.94 [19.78—28.03] [9.47—71.43]

24.33 ± 6.02 23.92 [19.92—27.96] [9.67—57.73]

25.44 ± 5.76 25.09 [21.64—28.78] [8.56—63.28]

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