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Table 5 C-statistics for discrimination ability of the various predictive model for composite adverse events in subgroups with different glycometabolic status

From: Prognostic impact of estimated remnant-like particle cholesterol in patients with differing glycometabolic status: an observational cohort study from China

  ROC curve analysis Category-free NRI IDI
AUC 95% CI P index P index P
Non-diabetic population
 Baseline modela 0.836 0.810–0.859 reference reference reference
  + estimated RLP-C 0.838 0.813–0.861 0.311 0.022 0.517 0.002 0.169
Pre-diabetic population
 Baseline modela 0.781 0.747–0.812 reference reference reference
  + estimated RLP-C 0.781 0.747–0.812 0.581 0.017 0.842 0.001 0.642
Diabetic population
 Baseline modela 0.788 0.759–0.815 reference reference reference
  + estimated RLP-C 0.836 0.809–0.860 < 0.001 0.155 0.010 0.040 < 0.001
  1. Bold values indicate statistically significant associations
  2. ROC Receiver operating characteristics, AUC Area under the curve, CI Confidence interval, NRI Net Reclassification improvement, IDI Integrated discrimination improvement, RLP-C Remnant-like particle cholesterol
  3. aBaseline model includes traditional risk factors: age, sex (female), smoking, hypertension, prior MI, prior PCI, eGFR, HbA1c, TC, HDL-C, LVEF, left main disease and multi-vessel disease