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.

What is the adjusted ln(odds ratio of death) and 95% CI for those who received CPR prior to ICU admission, compared to those who did not receive CPR prior to ICU admission?

A) 1.70 (0.5, 2.9)

B) 1.62 (0.38, 2.86)

C) 5.45 (1.65, 18.17)

D) 5.05 (1.46, 17.46)

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 the adjusted In(odds ratio of death) and 95% CI for those who received CPR prior to ICU admission, compared to those who did not receive CPR prior to ICU admission? a. 1.70 (0.5, 2.9) 1. 62 + 2 ( 0. 62) = 2186 b. 1.62 (0.38, 2.86)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 the adjusted In(odds ratio of death) and 95% CI for those who received CPR prior to ICU admission, compared to those who did not receive CPR prior to ICU admission? a. 1.70 (0.5, 2.9) 1. 62 + 2 ( 0. 62) = 2186 b. 1.62 (0.38, 2.86)