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

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

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
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
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
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
  1. 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.