RESUMO
Objective To analyze Pseudomonas aeruginosa (PA) infection and drug resistance in the elderly with respiratory tract infection, so as to provide a basis for the control of nosocomial infection and rational use of antibiotics. Methods The samples from elderly inpatients with respiratory tract infection were collected between March 2020 and March 2022. PA infection/colonization were investigated, and the drug resistance of pathogens was determined according to CLSI criteria (2019 version). Results There were 123 strains of PA isolated from the sputum and bronchoscopy lavage fluid of elderly patients with respiratory tract infection. The main departments with positive PA detection were respiratory department, ICU ward and neurology department. The difference of PA detection in different years was not statistically significant (P>0.05). The proportion of nosocomial infection in 2021 was lower than that in 2020 (44.44% vs 63.33%, c2=4.410, P=0.036). The resistance rate of 123 isolated PA strains to piperacillin was >90.00%, and they were resistant to ceftazidime, cefotaxime, cefepime, aztreonam and gentamicin to varying degrees. There was no significant difference in resistance rate of PA to antibiotics in different years (P>0.05). In the 123 strains of pathogens, there were 17 strains (13.82%) of carbapenem-resistant PA, and their resistance to common antibiotics was significantly higher than that of carbapenem-sensitive PA (P<0.05). Conclusion The main pathogen of nosocomial infection is PA, and the proportion of nosocomial infection shows a downward trend. The detection rate of carbapenem-resistant PA is high. In clinical treatment, targeted antibiotics can be applied.
RESUMO
Objective To explore the epidemiological characteristics of pulmonary infection in elderly patients with chronic obstructive pulmonary disease (COPD), and to construct a risk prediction model. Methods Among of 125 elderly patients with COPD from May 2020 to June 2022 were selected as the research subjects. The epidemiological characteristics of infected patients were counted, and the risk factors of pulmonary infection in patients were analyzed and a prediction model was constructed. Results A total of the 125 elderly patients with COPD, there were 46 cases of pulmonary infection, with the infection rate of 36.80%. The detection rate of Gram-negative bacteria was higher than that of Gram-positive bacteria or fungi (64.44% vs 33.33% or 2.22%, P2=0.812 and P=0.295. ROC curve analysis revealed that the AUC value of the prediction model on predicting the pulmonary infection in elderly patients with COPD was 0.802. Conclusion The pathogenic bacteria of elderly patients with COPD complicated with pulmonary infection are mainly Gram-negative bacteria. The prediction model constructed according to the risk factors of pulmonary infection in patients has predictive value on pulmonary infection in patients.