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. 2017 Jan 5;14:1–10. doi: 10.1016/j.euprot.2016.12.001

Table 2.

Diagnostic performance of biomarker models of microalbuminuria (ACR ≥3 mg/mmol), eGFR < 60 mL/min/1.73m2 and CKD compared to gold standard ACR and eGFR tests in type 2 diabetes.

Diagnostic Test Diagnosis AUC True Positive Rate (Sensitivity) False Positive Rate
(1-Specificity)
DOR
Gold Standard ACR eGFR < 60 mL/min/1.73m2 N/A 73% 40% 4.0
Gold Standard eGFR ACR ≥ 3 mg/mmol N/A 26% 8% 4.0



TRAIN (n = 459) BM (eGFR model)a eGFR < 60 mL/min/1.73m2 0.80 73% 25% 8.3
BM (ACR model)a ACR ≥ 3 mg/mmol 0.68 72% 42% 3.6
BM (CKD model)a CKD ≥ 1 0.68 56% 25% 3.9



TEST (n = 113) BM (eGFR model)a eGFR < 60 mL/min/1.73m2 0.81 88% 32% 14.9
BM (ACR model)a ACR ≥ 3 mg/mmol 0.71 52% 15% 6.0
BM (CKD model)a CKD ≥ 1 0.77 56% 15% 7.6
The performance of the models in the train and test sub-cohorts is shown.
  • -
    BM (eGFR model) (APOA4_Pep 2, APOC3_Pep 1, CFHR2_Pep 1, IBP3_Pep 2).
  • -
    BM (ACR model) (APOA4_Pep 1, C1QB_Pep 1, CFHR2_Pep 2, IBP3_Pep 2).
  • -
    BM (CKD model) (APOA4_Pep 1, CFHR2_Pep 2, IBP3_Pep 2).
a

BM, Biomarker model; AUC, area under curve; DOR, diagnostic odds ratio. BM models were developed in train sub-cohort and validated in test sub-cohort.