Bacterial distribution,drug resistance monitoring and prognostic risk factor analysis for carbapenem-resistant Enterobacteriaceae infection
Objective To explore the distribution characteristics and drug resistance of carbapenem-resistant Enterobacteriaceae(CRE)infection and analyze the risk factors affecting the prognosis of infected patients.Methods A retrospective analysis was conducted on the clinical data of 97 patients with CRE infection admitted to Deqing County Hospital of Traditional Chinese Medicine from June 2020 to July 2023.The distribution and drug resistance characteristics of pathogenic bacteria in patient body fluids and secretions were statistically analyzed.Patients were divided into a survival group(n=41)and a death group(n=56)based on their prognosis,and multivariate logistic regression analysis was used to identify independent risk factors affecting patient prognosis.Results A total of 106 strains of CRE were isolated,with the main pathogenic bacteria being Klebsiella pneumoniae(44.34%(47/106))and Escherichia coli(29.25%(31/106)),primarily derived from sputum(48.11%(51/106))and urine samples(26.42%(28/106)).The resistant rate of Klebsiella pneumoniae to antibiotics such as imipenem,meropenem,and panipenem was more than 70%and that of Escherichia coli to antibiotics such as meropenem,panipenem,and ertapenem was also over 70%.However,the latter one was not resistant to tigecycline.Indwelling intravenous catheters(OR(95%CI):1.830(1.213-2.756),P=0.004),ICU treatment(OR(95%CI):1.793(1.135-2.492),P=0.003),and septic shock(OR(95%CI):2.140(1.498-3.430),P<0.001)were identified as independent risk factors for death in patients with CRE infection.Conclusion Klebsiella pneumoniae and Escherichia coli are the main pathogenic bacteria causing CRE infection and exhibit strong drug resistance.Indwelling intravenous catheters,ICU treatment and septic shock are independent risk factors for patient death.
Carbapenem resistanceEnterobacteriaceaeBacterial infectionsDistribution of pathogenic bacteriaPrognosisRisk factor
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