A random sample of 200 patients admitted to an adult ICU was collected to example factors associated with death during hospital stay for ICU patients. Data was also collected on patients age (in years), race, whether a patient had an infection at the time of admission, and whether the patient had CPR administered prior to the hospital admission. The 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 regressionBackground:Intercept: -2.76The estimated probability of death in ICU patients for 45 year old white patients who did not receive COR and didn't have an infection= 0.056The estimated probably of death in ICU patients for 75 year old white patients who received cpr and had an infection= 0.73What is the estimated adjusted odds ratio of death of 75 year old white patients who received CPR and had an infection COMPARED to 45 year old white patients who did not receive CPR and did not have an infection?

Table 1: Logistic Regression Results for Predictors of ICU Mortality Regression Coefficents (SE) 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 P=0.14 = 72 years 1.58 (0.61) 1.47 (0.64) Race White ref ref Non-white -0.68 (0.64) 0.39 (0.67) Intercept -2.76 - What is estimated adjusted odds ratio of death for the group describedfor the group described in question 21, compared to the group described in question 20? a. 0.02 ( 21 compared to 20 01 021 b. 0.08 6.732 745 C. 43.7 d. 12.4 2.745 / 0. 06 = 45, 75 23