The clinical analysis of 60 patients with chronic obstructive pulmonary disease and community-acquired pneumonia
10.3760/cma.j.issn.1008-6706.2014.02.031
- VernacularTitle:慢性阻塞性肺疾病伴社区获得性肺炎60例病原菌及其耐药性分析
- Author:
Xuefei OUYANG
- Publication Type:Journal Article
- Keywords:
Pulmonary disease,chronic obstructive;
Community-acquired pneumonia;
Gram-negative bacteria;
Resistance rate
- From:
Chinese Journal of Primary Medicine and Pharmacy
2014;21(2):231-233
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the pathogens and drug resistance of patients with chronic obstructive pulmonary disease and community-acquired pneumonia,in order to provide the evidence for rational drug use in the future.Methods The sputum specimens of 60 patients with chronic obstructive pulmonary disease and communityacquired pneumonia were detected for pathogens and drug sensitivity.Results 24 patients were infected with pathogens Streptococcus pneumoniae(40％).8 cases were infected with Haemophilus influenza(16.7％).10 patients were infected with Klebsiella pneumonia (13.3％).6 patients were infected with Mycoplasma lung (8.3％).5 patients were infected with alpha-hemolytic streptococcus (6.7％).4 patients were infected with Staphylococcus aureus (3.3％).Two patients were infected with Legionella pneumophila (3.3％).Unknown pathogen was one case (1.67％).Drug sensitive test showed that gram-negative bacteria had high resistance rate.Haemophilus influenzae,Streptococcus pneumonia and Legionella pneumophila had high resistance rate against penicillin.Mycoplasma lung and Klebsiella pneumoniae showed resistance to azithromycin.Staphylococcus aureus and hemolytic streptococcus showed resistance to Cefalotin.Conclusion The patients with chronic obstructive pulmonary disease and community-acquired pneumonia were mainly infected gram-negative bacteria,which had serious antibiotic-resistant.We should choose other drugs according to the results of drug sensitive test in the future,so as to improve the anti-bacteria effect and protect the health of patients.
