Noninvasive intracranial pressure estimation by orbital subarachnoid space measurement: the Beijing Intracranial and Intraocular Pressure (iCOP) study

Table 2 Stepwise multiple linear regression analysis with lumbar CSF-P measurements as the dependent variable in the training group ( n = 42)

Regression model	r ²	Adjusted r²	F	P ^a	Independent variable	Nonstandardized beta	Standardized beta	t	P ^b
Regression model (1) derived from OSASW03	0.83	0.81	59.55	<0.0001	OSASW03	9.31	0.65	8.53	<0.0001
Regression model (1) derived from OSASW03	0.83	0.81	59.55	<0.0001	BMI	0.48	0.27	3.67	0.001
					MABP	0.14	0.22	2.89	0.006
					Constant	−19.94		−4.64	<0.0001
Regression model (2) derived from OSASW09	0.88	0.86	83.92	<0.0001	OSASW 09	16.95	0.70	10.56	<0.0001
Regression model (2) derived from OSASW09	0.88	0.86	83.92	<0.0001	BMI	0.39	0.23	3.54	0.001
					MABP	0.14	0.23	3.43	0.002
					Constant	−20.90		−5.87	<0.0001
Regression model (3) derived from OSASW15	0.81	0.79	47.40	<0.0001	OSASW15	17.54	0.65	7.64	<0.0001
Regression model (3) derived from OSASW15	0.81	0.79	47.40	<0.0001	BMI	0.47	0.27	3.27	0.002
					MABP	0.13	0.21	2.42	0.021
					Constant	−21.52		−4.54	<0.0001

A stepwise multiple linear-regression procedure was conducted to develop mathematical functions of noninvasive ICP assessment, lumbar cerebrospinal fluid pressure measurements as a dependent variable, orbital subarachnoid space width at 3 to 15 mm behind the globe, body mass index, and mean arterial blood pressure as independent variable at the same time. BMI body mass index, lumbar CSF-P lumbar cerebrospinal fluid pressure, MABP mean arterial blood pressure, OSASW03-15, orbital subarachnoid space width at 3 to 15 mm behind the globe.

ISSN: 1364-8535