European Radiology Experimental

Table 3 Estimation of linear mixed model effects

From: Pulmonary CT perfusion robustly measures cardiac output in the context of multilevel pulmonary occlusion: a porcine study

Animal	Aortic			Pulmonary
	Slope			Intercept			Slope
	Value	95% CI	SD	Value	95% CIs	SD	Value	95% CI	SD
1	33.63	[22.47, 39.79]	3.14	5.93	[4.41, 7.44]	0.77	1.86	[-1.90, 5.62]	1.92
2	15.08	[11.70, 18.45]	1.72	0.41	[-4.28, 5.09]	2.39	12.16	[2.12, 22.19]	5.12
3	20.62	[18.06, 23.17]	1.30	4.56	[2.47, 6.66]	1.07	5.02	[0.82, 9.23]	2.15
4	12.13	[10.21, 14.04]	0.98	5.68	[3.78, 7.58]	0.97	1.35	[-1.52, 4.22]	1.47
5	16.13	[14.03, 18.22]	1.07	3.57	[1.15, 5.99]	1.24	5.77	[1.64, 9.90]	2.11
6	18.53	[16.33, 20.73]	1.12	1.01	[-2.15, 4.18]	1.61	12.10	[5.86, 18.35]	3.18
7	19.84	[17.43, 22.25]	1.23	8.45	[5.61, 11.28]	1.45	-3.24	[-9.57, 3.09]	3.23
8	17.33	[14.89, 19.75]	1.24	1.96	[-0.39,4.30]	1.20	9.99	[5.05, 14.93]	2.52
9	18.19	[15.79, 20.59]	1.22	1.28	[-2.46, 5.03]	1.91	10.87	[3.55, 18.20]	3.74
Fixed effect		Aortic				Pulmonary
Fixed effect		Value	95% CI	SD	p-value	value	95% CI	SD	p-value
Intercept		2.09	[1.04, 3.14]	–	< 0.001	3.65	[1.28, 6.02]	3.11	0.003
Slope		19.05	[13.00, 25.10]	6.27	< 0.001	6.21	[1.41, 11.02]	6.29	0.011

Estimated linear mixed models random and fixed effects describing the relationship between the measured right ventricle cardiac output and the perfusion computed tomography-based calculations of aortic and pulmonary blood flow at the animal and cohort levels, respectively. Since a fixed intercepts model was used for aortic flow, no random effects exist with respect to the fixed intercept
CI Confidence interval, SD Standard deviation

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