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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