. 2020 Jul 27;77(10):1–8. doi: 10.1001/jamaneurol.2020.2264

Table 2. Primary Outcome (Mortality at 6 Months) and Functional Outcomes Across cEEG vs rEEG (Poisson Regression Models for Categorical Variables [Mortality] and Linear Regression Models for Continuous Variables [Δ mRS and CPC])^a.

Outcome	rEEG (n = 182), No. (%)	cEEG (n = 182), No. (%)	Crude		Adjusted for CCI, cardiac arrest
Outcome	rEEG (n = 182), No. (%)	cEEG (n = 182), No. (%)	Relative risk (95% CI)	P value	Relative risk (95% CI)	P value
Mortality at 6 mo, No. (%)	88 (48.4)	89 (48.9)	1.01 (0.82 to 1.25)	.92	1.02 (0.83 to 1.26)	.85
	Median (range)	Median (range)	Regression coefficient	P value	Regression coefficient	P value
Δ mRS at 6 mo, survivors	1 (−5 to 4)	1 (−3 to 5)	0.65 (0.13 to 1.16)	.01	0.63 (0.13 to 1.14)	.01
CPC at 6 mo, survivors	2 (1 to 4)	2 (1 to 4)	0.08 (−0.17 to 0.34)	.52	0.08 (−0.18 to 0.33)	.55

Abbreviations: CCI, Charlson Comorbidity Index; cEEG, continuous electroencephalography; CPC, cerebral performance category; Δ mRS, evolution of modified Rankin Scale between prehospitalization and at 6 months; rEEG, routine electroencephalography.

^{^a}

Results given as crude, and adjusted for hypoxic-ischemic encephalopathy and CCI. P values less than .05 are significant.

Table 2. Primary Outcome (Mortality at 6 Months) and Functional Outcomes Across cEEG vs rEEG (Poisson Regression Models for Categorical Variables [Mortality] and Linear Regression Models for Continuous Variables [Δ mRS and CPC])a.

Table 2. Primary Outcome (Mortality at 6 Months) and Functional Outcomes Across cEEG vs rEEG (Poisson Regression Models for Categorical Variables [Mortality] and Linear Regression Models for Continuous Variables [Δ mRS and CPC])^a.