Table 1 Basic participant characteristics with only serum creatinine 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 = 8473)

Internal validation (7 cohorts, n = 2778)

External validation (6 cohorts, n = 8378)

Age (years) (mean ± SD) [range]

42.4 ± 25.2 [2.0–96.7]

42.4 ± 25.1 [2.0–94.6]

50.9 ± 22.3 [2.0–97.0]

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

76.9 ± 33.1 [4–244]

77.8 ± 32.9 [5–254]

78.9 ± 32.2 [3–354]

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

1.43 ± 0.91 1.15 [0.94–1.60] [0.11–19.8]

1.43 ± 0.93 1.13 [0.94–1.55] [0.27–10.6]

1.37 ± 0.97 1.09 [0.93–1.37] [0.08–12.8]

% Males

55.8

55.9

47.2

BMI

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

24.64 ± 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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