Triglyceride-glucose index is associated with recurrent revascularization in patients with type 2 diabetes mellitus after percutaneous coronary intervention

Table 2 Akaike’s information criteria and likelihood ratio test to determine the best fitting model for predicting recurrent revascularization

	Akaike’s information criteria				Likelihood ratio test
	AICc	δAICc	AICcWt	Cum.wt	Model	χ²	df	P value
Established risk model	255.08	9.19	0.01	0.99	Established risk model	Ref	Ref	Ref
Established risk Model + TG	252.66	6.78	0.03	0.97	Established risk Model + TG	4.473	1	0.034
Established risk Model + HbA1c	255.95	10.06	0.01	1.00	Established risk Model + HbA1c	1.189	1	0.276
Established risk Model + FBG	254.75	8.87	0.01	0.98	Established risk Model + FBG	2.3823	1	0.123
Established risk Model + TyG	245.88	0.00	0.94	0.94	Established risk Model + TyG	11.252	1	< 0.001

Established risk model included age, BMI, Scr, bSS, rSS and insulin
TyG index the triglyceride-glucose index, TG triglyceride, FBG fasting blood glucose, AICc corrected Akaike’s information criterion, δAICc delta-AICc, AICcWt AICc weights, Cum.wt the cumulative weights of AIC

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