Table 5.

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

	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

Bold values indicate statistically significant associations

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

^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