A random sample of 200 patients admitted to an adult intensive care unit (ICU) was collected to examine factors associated with death during hospital stay for ICU patients. Data was also collected on patient's age (in years), race, whether the patient had an infection at the time of ICU admission, and whether the patient had CPR administered prior to the hospital admission.The following table presents the unadjusted and adjusted slopes (these have not been exponentiated), and standard errors from logistic regressions, as well as the intercept for the multiple logistic regression model.

Table 1: Logistic Regression Results for Predictors of ICU Mortality
Regression Slopes (SE in parentheses) and Intercept
(These results have not been exponentiated)
Predictor	Unadjusted		Adjusted
Infection
No	ref		ref
Yes	0.92 (0.36)		0.68 (0.38)
CPR Performed
No	ref		ref
Yes	1.70 (0.60)		1.62 (0.62)
Age Quartile	p=0.04
< 47 years	ref		ref
[47, 63) year	1.21 (0.62)		0.93 (0.64)
[64, 72) year	1.06 (0.63)		0.99 (0.65)
>= 72 years	1.58 (0.61)		1.47 (0.64)
Race
White	ref		ref
Non-white	-0.68 (0.19)		-0.39 (0.67)
Intercept			-2.76

Based on the multiple logistic regression results, what is the estimated probability of death in the ICU for 45 year old White patients who did not receive CPR and did not have an infection at the time of ICU admission?

Since these variables are all reference groups, am I getting doing (exp) of the intercept -2.76 to get 0.06

then

p= 0.06/ 1+ 0.06= 0.056 making C the closest answer choice

a) 0.63

b) 0.73

c) 0.0059

d) logistic regression can only be used to estimate odds and odds ratios