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

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 5 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 (. C -0.68 (0.64) (20 0)-0.39 (0.67) Intercept -2.76 Does it appear that the association between death and receiving CPR was confounded by infection status and/or age and/or race? Why or why not? a. Yes, because the adjusted odds ratio of death for those who received CPR (compared to those who did not receive CPR) is smaller in value than the unadjusted odds ratio. b. No, because the adjusted odds ratio of death for those who received CPR (compared to those who did not receive CPR) is similar in value to than unadjusted odds ratio, and the 95% CIs overlap substantially. c. Confounding cannot be assessed without having separate odds ratios estimating the relationship between death and CPR, separate by infection status and/or age and/or race