Table2 Cox Regression Models in Predicting all-cause death and cardiovascular death according to AIP at baseline
			HR (95%CI)					
End point	Baseline AIP	Events, n/Total	Unadjusted Model	Model1	Model2	Model3	Model4	
All-cause 	Tertile1	34/844	1.000	1.000	1.000	1.000	1.000	
death	Tertile2	44/843	1.301(0.832-2.036)	1.242(0.792-1.946)	1.298(0.826-2.038)	1.323(0.837-2.091)	1.317(0.833-2.082)	
	Tertil3	64/844	1.912(1.261-2.897)  	1.974(1.300-2.997)	2.160(1.415-3.295)	2.314(1.500-3.568)	2.236(1.448-3.451)	
Cardiovascular 	Tertile1	26/844	1.000	1.000	1.000	1.000	1.000	
death	Tertile2	38/843	1.470(0.892-2.420)	1.388(0.841-2.291)	1.454(0.879-2.406)	1.477(0.886-2.463)	1.468(0.880-2.447)	
	Tertile3	56/844	2.186(1.373-3.481)	2.252(1.412-3.592)	2.488(1.551-3.990)	2.730(1.684-4.427)	2.600(1.601-4.221)	
Model1 was adjusted for age, male, duration of diabetes, newly diagnosed diabetes, smoker, hypertension, family history of CAD, previous MI, previous PCI, previous CABG, previous stroke, BMI; Model 2 was adjusted for model 2 covariates plus LVEF, AMI, left main disease, multi-vessel disease, revascularization; Model3 was adjusted for model 3 covariates plus FBG, HbA1c, TC, LDL, Uric acid, hs-CRP, NT-proBNP, eGFR; Model 4 was adjusted for model 4 covariates plus aspirin, clopidogrel/ticagrelor, β-blocker, ACEI/ARB, statin, insulin