Study on Distribution and Influencing Factors of Pathogenic Bacteria in Patients with Chronic Obstructive Pulmonary Disease Complicated with Pulmonary Infection
Objective To study the distribution and influencing factors of pathogenic bacteria in patients with chronic obstructive pulmonary disease(COPD)complicated with pulmonary infection.Methods From June 2020 to June 2022,60 patients with COPD admitted to Taihe County Traditional Chinese Medicine Hospital were selected as the research objects.Among them,30 patients with COPD complicated with pulmonary infection were set as the infection group,and the other 30 patients without pulmonary infection were set as the uninfected group.The distribution of pathogenic bacteria in patients with COPD complicated with pulmonary infection was counted,and the influencing factors of COPD complicated with pulmonary infection were analyzed.Results A total of 30 strains of pathogenic bacteria were isolated from 30 patients with COPD complicated with pulmonary infection.Among them,gram-negative bacteria were the most common,accounting for 76.67％,gram-positive bacteria accounted for 20.00％,and fungi accounted for 3.33％.Univariate analysis showed that there were statistically significant differences in age,length of hospital stay,types of complications,history of diabetes,history of smoking,types of antibiotics used,duration of antibiotics used,and mechanical ventilation between the infected group and the uninfected group(P＜0.05).Logistic regression analysis showed that age ≥ 60 years old,type of comorbidities ≥2,history of diabetes,duration of antibiotic use ≥ 15 d,and mechanical ventilation were independent risk factors for COPD complicated with pulmonary infection.Conclusion The distribution of pathogenic bacteria in patients with COPD complicated with pulmonary infection is mainly gram-negative bacteria.Age,type of complications,history of diabetes,duration of antibiotic use and mechanical ventilation are independent risk factors for COPD complicated with pulmonary infection.
国家科技期刊平台
NSTL
万方数据
