Analysis of Risk Factors for Pneumonia Death in ICU Environment Based on Logistic Regression

Abstract

Objective. To explore the risk and protect factors for death of pneumonia patients in intensive care unit (ICU), we conducted this logistic regression research. Methods. We collected demographic and nursing care data for 80 patients form Wuhan fourth hospital, in which 40 patients were dead and the other 40 patients were alive. Difference analysis, Pearson’s correlation matrix, and logistic regression were conducted to explore the risk and protective factors for living status of pneumonia patients in ICU. Results. A total of 40 individuals were dead from pneumonia in ICU. The demographic and nursing information had no difference between death and living groups except age. After that, correlation analysis showed that there were correlations between living status, age, and marriage. Logistic regression showed that age (odds ratio $\left(\text{OR}\right)=0.94$ , $P<0.05$ ) and no education ( $\text{OR}=0.21$ , $P<0.05$ ) may be harmful for pneumonia patients living status while high-quality nursing ( $\text{OR}=2.72$ , $P<0.05$ ) may be helpful for pneumonia patients living status. Conclusion. High-quality care plays an important role in protecting the survival of patients with pneumonia, and old age and uneducated may be the risk factors for the death of patients with pneumonia.