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. 2023 Dec 19;24:376. doi: 10.1186/s12882-023-03424-7

Table 3.

Subgroup analyses for prediction of ESKD at 3 years

Subgroup AUROC
LASSO regression Random forest XGBoost Neural network
eGFR

15–20 mL/min/1.73m2

(n = 413)

0.69

(0.63 to 0.74)

0.69

(0.64 to 0.75)

0.65

(0.63 to 0.74)

0.70

(0.65 to 0.75)

20–29 mL/min/1.7m2

(n = 1,747)

0.74

(0.72 to 0.77)

0.74

(0.71 to 0.76)

0.73

(0.71 to 0.76)

0.75

(0.72 to 0.77)

Sex
Female (n = 1,695)

0.79

(0.76 to 0.82)

0.78

(0.75 to 0.81)

0.77

(0.74 to 0.81)

0.79

(0.76 to 0.82)

Male (n = 1,465)

0.75

(0.71 to 0.78)

0.74

(0.71 to 0.77)

0.74

(0.71 to 0.78)

0.75

(0.72 to 0.78)

Race
Black (n = 401)

0.74

(0.68 to 0.80)

0.75

(0.69 to 0.81)

0.75

(0.66 to 0.79)

0.74

(0.68 to 0.80)

Hispanic (n = 320)

0.73

(0.66 to 0.80)

0.71

(0.64 to 0.79)

0.71

(0.65 to 0.79)

0.73

(0.66 to 0.80)

White (n = 1,211)

0.77

(0.73 to 0.81)

0.78

(0.74 to 0.81)

0.78

(0.72 to 0.81)

0.77

(0.73 to 0.81)

Others (n = 1,228)

0.78

(0.74 to 0.81)

0.76

(0.73 to 0.80)

0.76

(0.74 to 0.81)

0.78

(0.75 to 0.81)

Comorbidity
BMI ≥ 25 kg/m2 (n = 1,424)

0.78

(0.75 to 0.80)

0.78

(0.75 to 0.80)

0.77

(0.75 to 0.80)

0.78

(0.76 to 0.81)

Diabetes (n = 1,522)

0.76

(0.73 to 0.79)

0.71

(0.73 to 0.79)

0.76

(0.72 to 0.79)

0.76

(0.72 to 0.79)

Cardiovascular disease 0.75 0.77 0.76 0.77
(n = 1,447) (0.72 to 0.79) (0.73 to 0.80) (0.72 to 0.79) (0.73 to 0.80)
Laboratory value
K > 5.5 mEq/L 0.82 0.82 0.80 0.82
(n = 282) (0.75 to 0.89) (0.75 to 0.89) (0.74 to 0.88) (0.75 to 0.89)
Phosphate > 5 mg/dL 0.73 0.71 0.68 0.73
(n = 114) (0.64 to 0.81) (0.61 to 0.80) (0.62 to 0.80) (0.64 to 0.82)
Serum albumin < 3.0 0.80 0.79 0.78 0.78
(n = 110) (0.73 to 0.86) (0.72 to 0.86) (0.70 to 0.85) (0.71 to 0.85)