Logistic regression analysis of risk factors of pulmonary infection in patients with severe brain injury and nursing countermeasures

Objective To study the risk factors and to provide preventive measures of pulmonary infection for patients with severe brain injury.Methods A total of 320 patients with severe brain injury were analyzed with hospital-based case-control study method.A total of 101 patients complicated with lung infection were set as the experimental group.Another 101 patients with no pulmonary infection according to the proportion of 1:1 choice over the same period were set as the control group.The related factors were analyzed with the univariate analysis and the multiple factors Logistic regression analysis.Results Univariate analysis showed that the occurrence of pulmonary infection of patients with severe brain injury was closely related to the old age,low GCS score,long time stay in the bed,long time hormone application,long time antibiotic application,the combined underlying disease,use of mechanic ventilation,long-term smoking history and indwelling gastric tube.Multivariable Logistic regression analysis showed that the application of mechanic ventilator,the combined underlying disease and long time stay in bed were the independent risk factors for pulmonary infection of patients with severe brain injury,but GCS score was a protective factor.Conclusions The occurrence of lung infection were related to the ventilator application,the combined underlying disease,long time stay in bed and low GCS score.Considering these risk factors,the medical staffs should take preventive measures early to control lung infection. Key words: Severe brain injury;  Pulmonary infection;  Risk factors;  Protective factors;  Logistic regression analysis