A model combining rest-only ECG-gated SPECT myocardial perfusion imaging and cardiovascular risk factors can effectively predict obstructive coronary artery disease

Table 2 Logistic regression analysis of factors obtained by LASSO regression analysis

Variables	Regression coefficient	OR	95% CI	P value
Age	0.030	1.03	1.00–1.07	0.092
Male	0.804	2.23	1.15–4.51	0.020
Hypertension	0.477	1.61	0.82–3.27	0.200
Diabetes	0.790	2.20	1.07–4.52	0.031
Hyperlipidemia	0.613	1.85	0.96–3.63	0.069
SRS ≥ 4	0.794	2.21	0.69–7.09	0.200
SMS ≥ 2	1.971	7.17	2.20–26.0	0.001
STS ≥ 2	0.950	2.58	0.75–9.11	0.130

SRS summed rest score, SMS summed motion score, STS summed thickening score; the OR values of categorical variables were calculated from state 1 (positive) compared to state 0 (negative)

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