Effect Of Cluster Intervention Strategy Combined with Targeted Nursing on Prevention of Ventilator-Associated Pneumonia in Icu Patients

Background VAP is a common complication of ventilator maintenance therapy. The occurrence of VAP is related to many factors such as long duration of breathing, invasive operation, pollution of respiratory tubes and instruments, and low immunity of patients. The prevention of VAP in critically ill patients I the primary problem for clinical medical staff. Avoiding exogenous bacteria invading the respiratory tract and endogenous bacterial infection is the main method. Objective To investigate the value of optimized cluster nursing intervention combined with targeted nursing measures in reducing the incidence of ventilator-associated pneumonia (VAP) in patients with mechanical ventilation in intensive care unit (ICU). Methods 200 patients with mechanical ventilation in ICU of our institute from January 2017 to June 2020 were selected and randomly divided into study group and control group, with 100 cases in each group. The study group was treated with cluster nursing intervention combined with targeted nursing measures optimized by muItL criteria decision analysis method, and the control group was treated with targeted nursing measures. The incidence of VAP, the detection rate of pathogenic bacteria in sputum specimens and the effect of nursing execution were compared between the two groups. 200 patients were divided into VAP group and non-VAP group according to whether VAP occurred. Multivariate Logistic regression model analysis was used to explore the risk factors of VAP in AECOPD patients. Results A total of 4 strains were detected in the study group and 18 strains were detected in the control group. The detection rate of pathogenic bacteria in the study group was higher than that in the control group (y2=10.010, P=0.002<0.05). The incidence of VAP in the study group was 4.00% lower than 17.00% in the control group, and the difference was statistically significant (P<0.05). Compared with VAP group and non-VAP group, the proportion of patients with serum albumin<30g/L, diabetes mellitus rate, APACHE II score>15 points, tracheotomy rate and mechanical ventilation time≥5 days in VAP group were significantly higher than those in non-VAP group, which had statistical significance (P<0.05). The results of logistic regression model snowed that serum albumin ≥30g/L and optimized cluster nursing could effectively reduce the risk of VAP in ICU patients with mechanical ventilation (P<0.05). The risk of VAP in ICU patients with mechanical ventilation was increased by the combination of diabetes rate. APACHE II score≥15 points, tracheotomy and mechanical ventilation time ≥ 5 days (P<0.05). Conclusion The risk of VAP in ICU patients with mechanical ventilation is high, and the optimized cluster nursing intervention combined with targeted nursing measures can effectively reduce the incidence of VAP.