Table 1. Univariate analysis with cerebral blood flow as the outcome and the candidate predictor variables as covariates.
Candidate predictor | β1 Estimate | P |
---|---|---|
CMRO2 | 0.20 | 0.0025 |
CMRglc | 0.75 | 0.12 |
Age | −0.11 | 0.42 |
Male | −3.24 | 0.38 |
pAO2 | −0.06 | 0.66 |
Hct | 0.41 | 0.50 |
CAHgb | 0.12 | 0.91 |
CAO2 | −1.25 | 0.24 |
pACO2 | 0.20 | 0.69 |
CAglc | −0.33 | 0.28 |
OEF | −15.58 | 0.57 |
CAglc, arterial glucose concentration (mg/100 mL); CAHgb, arterial hemoglobin concentration (g/100 mL); CAO2, arterial oxygen content (mL O2/100 mL blood); CMRglc, cerebral metabolic rate of glucose (micromol/100 g per minute); CMRO2, cerebral metabolic rate of oxygen (micromol/100 g per minute); Hct, hematocrit; male, binary variable with 1 for males and 0 for females; OEF, oxygen extraction fraction; pACO2, arterial partial pressure of carbon dioxide (mm Hg); pAO2, arterial partial pressure of oxygen (mm Hg).
The second column gives parameter estimates for β1 for each predictor, and the final column shows the P values associated with the tests of H0: β1=0 versus Ha: β1 0.