Mortality following myocardial infarction among HIV-infected persons: the Center for AIDS Research Network Of Integrated Clinical Systems (CNICS)

Table 4 Significant predictors of mortality following type 1 and type 2 myocardial infarction among persons with HIV: Bayesian Model Averaging

Variable	Probability of inclusion in the final model (%)	HR*	95% CI*	P value	Probability of inclusion in the final model (%)	HR*	95% CI*	P value
	Type 1 MI
Statin use	3.3				4.5
ART use	8.8				11.5
Female	2.9	0.91	0.53, 1.55	0.723	6.7	1.24	0.88, 1.75	0.219
Diabetes	13.9				3.4
Treated hypertension	2.0				19.9
Age (per 10)	100.0	1.73	1.37, 2.17	< 0.001	2.5	0.97	0.84, 1.12	0.664
Black	10.8				1.8
Hispanic	3.2				6.3
Smoker	7.6				1.8
Log10(VL + 1)	95.1	1.25	1.09, 1.43	0.001	21.0
CD4 (per 100)	4.5				4.3
VL > 400	24.4				33.6	1.38	1.00, 1.91	0.047
eGFR < 30	100.0	3.02	1.77, 5.14	< 0.001	11.1
BMI < 18.5	9.1				37.9	1.62	1.02, 2.56	0.040
BMI 25 to < 30	1.9				96.7	0.55	0.35, 0.86	0.009
BMI 30+	20.0				1.8	1.05	0.68, 1.64	0.819

*Hazard ratio and confidence interval from Cox model included for potential significant predictors plus age and sex

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