Table 5.

Multivariable Predictors of Test Positivity by Sex

	Models of Test Positivity* Odds Ratio (95% CI)
Important Predictors	Men‡	Women†
Age	1.01 (0.98–1.04)	1.03 (1.02–1.04)
Diabetes	1.10 (0.87–1.39)	0.92 (0.70–1.22)
Chest pain characterization (reference: non-cardiac)
Atypical	0.88 (0.51–1.49)	1.07 (0.77–1.47)
Typical	0.86 (0.26–2.89)	0.95 (0.62–1.45)
Body mass index (kg/m2)	--	1.03 (1.01–1.04)
Diamond-Forrester (2011)	1.02 (1.00–1.05)	--
Framingham risk score (2008)	1.01 (1.00–1.02)	1.02 (1.01–1.03)
History of heart failure	0.62 (0.36–1.05)	--
Sedentary lifestyle	1.17 (0.98–1.39)	--

^*Final models for women and men selected using stepwise selection (entry criterion: p-value < 0.1; exit criterion: p-value > 0.2) from the following candidate predictors: age, race, body mass index, hypertension, diabetes, metabolic syndrome, dyslipidemia, smoking (ever, never), family history of premature coronary artery disease (CAD), depression, sedentary lifestyle, cerebrovascular or peripheral vascular disease, history of heart failure, CAD equivalent, Framingham risk score (2008), ASCVD risk prediction, Diamond-Forrester, Combined Diamond-Forrester and Coronary Artery Surgery Study, Diamond-Forrester (2011), presenting symptom, and chest pain characterization. Age, diabetes, and chest pain characterization forced into each model.

^†The final model for women was well calibrated (Hosmer–Lemeshow Goodness of Fit p-value: 0.587) and had modest discriminatory capacity (AUC 0.61 [95% CI 0.–0.64]).

^‡The final model for men was well calibrated (Hosmer–Lemeshow Goodness of Fit p-value:0.450) and had modest discriminatory capacity (AUC 0.65 [95% CI 0.63–0.67]).