Table 3.

Final model for predicting the diagnosis acute coronary syndrome

Predictors	Regression coefficients (SE)
Intercept	−16.246 (3.527)
Age	0.293 (0.081)
Age′	−0.391 (0.125)
Age’″	1.063 (0.395)
Female gender	2.504 (5.512)
Age*female gender	−0.096 (0.126)
Age′*female gender	0.189 (0.195)
Age″*female gender	−0.556 (0.605)
Acute chest pain shorter than 12 hours	0.290 (0.198)
Sweating	0.457 (0.178)
Radiation of chest pain	0.609 (0.176)
Pressing heavy pain	0.747 (0.200)
Call during the night (00:00–09:00)	0.504 (0.151)
Apparent c-statistic 0.79 (95% CI 0.76 to 0.81) Adjusted c-statistic 0.77 (95% CI 0.74 to 0.79) Calibration slope 0.826 (95% CI 0.658 to 0.994) Calibration −0.224 (95% CI −0.604 to 0.157) R2 0.106 Knots for cubic spline functions placed at 5, 35, 65 and 95