Table 2

Cox regression models to predict vascular events or total mortality

	Vascular events								Total mortality
	Model 1		Model 2		Model 3		Model 4		Model 1		Model 2		Model 3		Model 4
	HR	p Value	HR	p Value	HR	p Value	HR	p Value	HR	p Value	HR	p Value	HR	p Value	HR	p Value
(A) Improvement in prediction by adding ESRS, SPI-2 or NIH-SS scores to a Cox regression model based on lg(hsTropT)
lg(hsTropT)	3.48	<0.001	2.92	0.002	2.75	0.003	3.15	0.001	5.40	<0.001	4.13	0.001	4.08	<0.001	4.85	<0.001
ESRS			1.19	0.14							1.27	0.121
SPI-2					1.17	0.039							1.22	0.053
NIH-SS							1.05	0.321							1.14	0.019
Δ(−2* log(L))	NA		2.10		4.11		0.89		NA		2.33		3.62		4.46
p For model improvement	NA		0.147		0.043		0.345		NA		0.127		0.057		0.035

	Vascular events						Total mortality
	Model 1		Model 2		Model 3		Model 1		Model 2		Model 3
	HR	p Value	HR	p Value	HR	p Value	HR	p Value	HR	p Value	HR	p Value
(B) Improvement in prediction by adding lg(hsTropT) to individual Cox regression models based on ESRS, SPI-2 or NIH-SS scores
ESRS	1.36	0.009					1.53	0.004
SPI-2			1.27	0.001					1.35	0.002
NIH-SS					1.09	0.078					1.18	0.001
Score	1.19	0.140	1.17	0.039	1.05	0.321	1.27	0.121	1.22	0.053	1.14	0.019
lg(hsTropT)	2.92	0.002	2.75	0.001	3.15	<0.001	4.13	0.001	4.08	0.001	4.85	<0.001
Δ(−2*log(L))	9.35		8.11		10.2		10.1		9.92		11.9
p For model improvement	0.002		0.004		0.001		0.001		0.002		0.001

HRs are given per unit increase in the respective variable.
ESRS, Essen Stroke Risk Score; hsTropT, high-sensitivity troponin T; NIH-SS, National Institutes of Health Stroke Scale; SPI-2, Stroke Prognosis Instrument 2.