Area under receiver operating characteristics (ROC) curve, postoperative acute MI
Variable	AUC	95% CI	Vs. RCRI AUC p-value
RCRI	0.590	(0.490, 0.690)	-
RCRI + hs-cTnT > 14	0.699	(0.615, 0.783)	0.025
RCRI + NT-proBNP >300	0.653	(0.553, 0.753)	0.15
RCRI + hs-cTnT > 14 + NT-proBNP >300	0.716	(0.636, 0.796)	0.015

Benefit of adding additional predictor(s) of postoperative acute MI to Lee’s RCRI
	RCRI		RCRI + hs-cTnT > 14		RCRI + NT-proBNP >300		RCRI + hs-cTnT > 14 + NT-proBNP >300
	OR (95% CI)	p-value	OR (95% CI)	p-value	OR (95% CI)	p-value	OR (95% CI)	p-value
Intercept	-	-	-	-	-	-	-	-
RCRI	1.56 (1.02, 2.37)	0.04	1.36 (0.89, 2.08)	0.15	1.38 (0.89, 2.12)	0.15	1.31 (0.84, 2.02)	0.23
hsTnT > 14 ng/L	-	-	3.63 (1.56, 8.45)	0.003	-	-	3.15 (1.26, 7.86)	0.014
NT-proBNP >300 ng/L	-	-	-	-	2.27 (1.04, 4.96)	0.04	1.43 (0.61, 3.35)	0.41
Categroy-free NRI*			0.66 (0.32, 0.99), p <.001 • 45% of MIs were   correctly   reclassified • 21% of non-MIs   were correctly   reclassified		0.46 (0.09, 0.84), p = 0.015 • 10% of MIs were   correctly   reclassified • 36% of non-MIs   were correctly   reclassified		0.66 (0.32, 0.99), p <.001 • 45% of MIs were   correctly   reclassified • 21% of non-MIs   were correctly   reclassified

^*

Correct reclassification occurs when the addition of a biomarker to RCRI leads to improved classification of events (MIs) and non-events (no MI observed) of patients.