Objective To investigate the drug resistance and homogeneous analysis of Acinetobacter baumanii in emergency intensive care unit ( EICU) . Methods Four multidrug-resistant Acinetobacter baumannii ( MDR-Ab) strains isolated fromnosocomial inpatients fromJuly 25 to September 7 in 2009 were collected and tested for drug sensitivity and MIC determination as well. The A. baumannii isolates were typed with pulsed-field gel electrophoresis ( PFGE) to determine whether they derived fromthe same clone.Results Four isolates from nosocomial inpatients were resistant to multiple antibiotics including carbapenem. The PFGE types identified from four isolates were A and B. The A. baumannii isolates did not derived from the same clone. Conclusion The prevalence of nosocomial infection is not due to transmission of the same strains among different individuals in EICU.
ObjectiveTo evaluate the diagnostic value of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) level in bronchoalveolar lavage fluid (BALF) for discrimination of Acinetobacter baumannii (A. baumannii) colonization from infection.MethodsSixty patients with tracheal intubation or tracheotomy who were admitted in intensive care unit from July 2016 to July 2018, were divided into an infection group (n=20), a colonization group (n=20) and a control group (n=20). The serum and BALF samples were collected from the patients on the day when lower respiratory tract sample culture was positive so as to detect sTREM-1, serum procalcitonin (PCT) and interleukin-6 (IL-6). The value of serum PCT, IL-6, sTREM-1 and BALF sTREM-1 in differentiation of infection or colonization for A. baumannii was analyzed by mean of receiver operating characteristic (ROC) curve.ResultsThere were no significant differences in gender composition, age or Glasgow coma score among the three groups (P>0.05). The clinical pulmonary infection score (CPIS) of the infection group was higher than that in the control group (P<0.05). Compared with the control group, while the sTREM-1 concentration of BALF with A. baumannii colonization increased significantly but levels of PCT, IL-6 and sTREM-1 remained unchanged in serum. The levels of PCT, IL-6 and sTREM-1 in serum, and sTREM-1 in BALF increased significantly in the infection group (P<0.001). Compared with the colonization group, the levels of PCT, IL-6 and sTREM-1 in serum, and sTREM-1 in BALF increased significantly in the infection group (P<0.05). The area under the ROC curve (AUC) of serum PCT was 0.67 with the sensitivity of 0.55 and the specificity of 0.90 (95%CI 0.52 - 0.82). AUC of serum IL-6 was 0.72 with the sensitivity of 0.60 and the specificity of 0.95 (95%CI 0.58 - 0.85). AUC of serum sTREM-1 was 0.72 with the sensitivity of 0.75 and the specificity of 0.60 (95%CI 0.55 - 0.85). AUC of sTREM-1 in BALF was 0.92 with the sensitivity of 0.95 and the specificity of 0.70 (95%CI 0.79 - 0.98). The diagnostic accuracy of sTREM-1 in BALF was higher than that of PCT, IL-6 and sTREM-1 in serum (P<0.05).ConclusionssTREM-1 in BALF has good diagnostic performance in differentiating patients with infection of colonization for A. baumannii. Its sensitivity and specificity are higher than serum PCT, IL-6 and sTREM-1.
Objective To investigate the predictors for carbapenem-resistant Acinetobacter baumannii, Enterobacteriaceae and Pseudomonas aeruginosa (CR-AEP) as the pathogens of bloodstream infection (BSI) for intensive care unit (ICU) patients. Methods A retrospective case-control study based on ICU- healthcare-associated infection (HAI) research database was carried out. The patients who have been admitted to the central ICU between 2015 and 2019 in the ICU-HAI research database of West China Hospital of Sichuan University were selected. The included patients were divided into two groups, of which the patients with ICU-acquired BSI due to CR-AEP were the case group and the patients with BSI due to the pathogens other than CR-AEP were the control group. The clinical features of the two groups of patients were compared. Logistic regression model was used to identify the predictors of BSI due to CR-AEP.ResultsA total of 197 patients with BSI were included, including 83 cases in the case group and 114 cases in the control group. A total of 214 strains of pathogenic bacteria were isolated from the 197 BSI cases, including 86 CR-AEP strains. The results of multivariate logistic regression analysis showed that previous use of tigecycline [odds ratio (OR)=2.490, 95% confidence interval (CI) (1.141, 5.436), P=0.022] was associated with higher possibility for CR-AEP as the pathogens of BSI in ICU patients with BSI, while previous use of antipseudomonal penicillin [OR=0.497, 95%CI (0.256, 0.964), P=0.039] was associated with lower possibility for that. Conclusion Previous use of tigecycline or antipseudomonal penicillin is the predictor for CR-AEP as the pathogens of BSI in ICU patients with BSI.
Objective To evaluate the efficacy and safety of colistin in the treatment of severe infections. Methods PubMed, ISI Web of Knowledge and Wanfang databases were searched. The initial literatures and references listed in the literature were manually searched. Controlled studies were analyzed using RevMan 5. 0 software.Results Eleven studies were enrolled, including five prospective studies and six retrospective studies. Pooled analysis showed that, compared with other therapies, treatment with colistin in severe infections did not improve 28 or 30-day mortality, clinical symptoms, or bacteria clearance,however, increased the risk of kidney damage. Subgroup analysis showed that colistin did not improve symptoms, mortality ( which was even higher in the patients with drug resistant bacteria infection) , or kidney damage in drug resistant bacteria infections and ventilator associated pneumonia ( VAP) compared with the other antibiotic group. Conclusions Colistin is not superior to the other antibiotics in severe infections.However, there are some shortcomings in our meta-analysis due to limited high-quality RCTs, thus welldesigned RCTs are still needed before final conclusion is made.
ObjectiveTo investigate the distribution and drug resistance of Acinetobacter baumannii (AB) in a women and children's hospital. MethodsStrains of AB isolated from clinical specimens between January 2011 and December 2013 were identified with Vitek2-compact microbiology analyzer; antimicrobial susceptibility test was performed by Kirby-Bauer disk diffusion method. The resistant rate, intermediate rate and susceptibility rate of drugs were calculated according to the criteria in guidelines of Clinical and Laboratory Standards Institute. WHONET 5.6 software was used to analyze the data. ResultsA total of 167 strains of AB were isolated and tested. Neonatal ward had the highest detection proportion. Most strains of AB were isolated from sputum. The drug resistance rate of AB to piperacillin tazobactam, cefepime and carbapenem was<25%. ConclusionThe drug sensitivity rate of AB to piperacillin/tazobactam, cefepime and carbapenems was high, but drug resistence to antimicrobial drugs increased continuously in three years. Medical institutions should strengthen the monitoring of AB resistance, implement rational use of antibiotics, and carry out hand hygiene education, to reduce the generation and dissemination of AB resistant strains.
ObjectiveTo explore the prognostic risk factors of bloodstream infections caused by Acinetobacter baumannii in the hospital, to provide a basis for clinical diagnosis and treatment.MethodsA retrospective analysis was performed on the medical records of patients diagnosed with Acinetobacter baumannii bloodstream infection in Guangxi Zhuang Autonomous Region People’s Hospital between January 2013 and December 2018. The patients were divided into survival group and non-survival group according to the outcome within 30 days after blood culture was collected. Univariate and multivariate logistic analyses were used to identify the risk factors of Acinetobacter baumannii bloodstream infections.ResultsA total of 123 patients were included, including 48 in the survival group and 75 in the non-survival group. Third generation cephalosporins [odds ratio (OR)=2.492, 95% confidence interval (CI) (2.125, 2.924), P<0.001], carbapenems [OR=1.721, 95%CI (1.505, 1.969), P<0.001], multidrug resistant-Acinetobacter baumannii infection [OR=1.240, 95%CI (1.063, 1.446), P=0.006], post-operation [OR=0.515, 95%CI (0.449, 0.590), P<0.001], mechanical ventilation [OR=1.182, 95%CI (1.005, 1.388), P=0.043], indwelling central venous catheter [OR=0.116, 95%CI (0.080, 0.169), P<0.001], mixed infection or septic shock [OR=3.935, 95%CI (2.740, 5.650), P<0.001], APACHE Ⅱ score (≥15) [OR=5.939, 95%CI (5.029, 7.013), P<0.001], chronic kidney disease [OR=1.440, 95%CI (1.247, 1.662), P<0.001], immune system disease [OR=28.620, 95%CI (17.087, 47.937), P<0.001], use of corticosteroids [OR=0.520, 95%CI (0.427, 0.635), P<0.001], and combined antifungal agents [OR=0.814, 95%CI (0.668, 0.992), P=0.041] were independent factors for predicting the prognosis of patients with bloodstream infections caused by Acinetobacter baumannii.ConclusionsThe third generation cephalosporins, carbapenem, MDR-Acinetobacter baumannii infection, post-operation, mechanical ventilation, indwelling central venous catheter, mixed infection or septic shock, APACHE Ⅱ score (≥15), chronic kidney disease, immune system disease, use of corticosteroids, and combined antifungal agents were independent factors for predicting the prognosis of patients with bloodstream infections caused by Acinetobacter baumannii. In the clinical work, it is needed to carry out timely detection of microbial etiology, timely report, and reasonable treatment.
Objective To study the risk factors and prognosis of hospital acquired pneumonia( HAP)caused by carbapenem-resistant Acinetobacter baumannii( CRAB) . Methods By a case-control study, the data of 44 cases of HAP caused by CRAB fromJan 2005 to Dec 2007 in Nanfang Hospital were analyzed. 66 cases of HAP caused by Carbapenem-susceptible A. baumannii ( CSAB) were selected randomly at the same time as control. Univariate analysis( T test and chi-square test) and multivariate logistic regression were used for statistics analysis. Results Univariate analysis revealed that five factors associated with the infection caused by CRAB were APACHE Ⅱ score ≥ 16, chronic pulmonary disease ( COPD/ bronchiectasis ) , imipenem/meropenem and fluoroquinolone used 15 days before isolation of CRAB, and early combination therapy of antibiotics. Multivariate logistic regression analysis identified two independent factors as APACHEⅡ score ≥16( OR=6. 41, 95% CI 2. 20-18. 67) and imipenem/meropenemused 15 days before isolation of CRAB( OR =6. 33,95% CI 1. 83-21. 87) . Of 44 cases of CRAB infections, 14 patients died and 30 patients survived. Univariate analysis revealed that two factors associated with poor prognosis were organ failure and clinical pulmonary infection score( CPIS) rise after three-day treatment. According to multivariate logistic regression analysis, only CPIS rise after three-day treatment ( OR =7. 01, 95% CI 1. 23-40. 03) was an independent predictive factor. Conclusions APACHEⅡ score ≥ 16 and imipenem/meropenem used 15 days before isolation of CRAB were independent risk factors for CRAB infection. CPIS rise after three-day treatment was a predictive factor for the prognosis of CRAB infection.
ObjectiveTo study the clinical distribution and the change of drug resistance of Acinetobacter baumannii from different inpatient specimens sources during 2008 to 2012, and to provide guidance for rational use of antibiotics. MethodsThe identification of Acinetobacter baumannii was conducted by VITEK-2 based on clinical and laboratory standards institute (CLSI) guideline between January 2008 and December 2012. The susceptibility of antibiotics was determined by K-B test, and data analysis was conducted by Excel and SAS. ResultsA total of 3 139 stains of Acinetobacter baumannii were isolated from 2013 patients during this period. The Acinetobacter baumannii was mainly obtained from the Burn ward, Intensive Care Unit ward and Thoracic ward. Sputum was the most specimens of Acinetobacter baumannii, accounting for 48.4%. The drug resistance rates of Acinetobacter baumannii to most of the antimicrobial agents were more than 55%. Compound antibacterial is more effective than the single drug ingredient. Compared with other antimicrobial agents, β-lactams/β-lactamase inhibitor compound and carbapenems antimicrobial agents were more sensitive. ConclusionThe drug resistance of Acinetobacter baumannii is serious and has differences among hospitals. Clinicians should monitor the drug resistance of Acinetobacter baumannii timely and choose proper antibiotics according to the results of drug sensitivity.
There is a worldwide consensus that urgent action is needed to prevent and control multi-drug resistant organisms in health care settings, especially carbapenem-resistant Enterobacteriaceae (CRE), carbapenem-resistant Acinetobacter baumannii (CRAB) and carbapenem-resistant Pseudomonas aeruginosa (CRPsA). In 2017, to focus on this topic, World Health Organization organized experts worldwide to develop guidelines for the prevention and control of CRE, CRPsA and CRAB. In this paper, we introduced the background, development process, main measures, advantages and disadvantages of the guidelines to help infection prevention and control practitioners take actions properly based on the guidelines.