Objective To investigate nosocomial non-fermented bacterial infection in lower respiratory tract and the risk factors for multi-drug resistant bacterial infection. Methods 229 patients with nosocomial nonfermented bacterial infection in lower respiratory tract from January to December in 2007 in Xiangya Hospital were analyzed retrospectively. The distribution and drug sensitivity of pathogens were recorded. Of those 229 patients,183 cases were infected by non-fermented multi-drug resistant bacteria( MDRB) . The risk factors for non-fermented MDRB infection in lower respiratory tract were analyzed by multi-factor logistic multiple regression analysis.Results The top four non-fermented bacteria isolated were Pseudomonas aeruginosa( 47.6%) , Acinetobacter baumannii( 36. 3% ) , Acinetobacter spp( 8. 6% ) , and Stenotrophomonas maltophilia( 5. 1%) . Higher isolatated rate was found in neurosurgery ( 25. 7% ) and central ICU( 22. 9% ) . The isolated non-fermented bacteria except Stenotrophomonas maltophilia were resistant to all antibiotics except cefoperazone-sulbactam and meropenem. ICU stay( P lt; 0. 001) , tracheotomy or tracheal intubation( P = 0. 001) , and previous use of carbapenemantibiotics( P =0. 032) were independent risk factors for non-fermented MDRB infection. Conclusion Non-fermented bacillus were important pathogens of nosocomial infection in lower respiratory tract with high rates of antibiotic resistance. It is important to prevent non-fermented MDRB infection by strict limitation on the indication of ICU stay,tracheotomy and use of carbapenem.
Objective To investigate the antibiotic resistance distribution and profiles of multidrug resistant bacteria in respiratory intensive care unit ( RICU) , and to analyze the related risk factors for multidrug resistant bacterial infections. Methods Pathogens from79 patients in RICU from April 2008 to May 2009 were analyzed retrospectively. Meanwhile the risk factors were analyzed by multi-factor logistic analysis among three groups of patients with non-multidrug, multidrug and pandrug-resistant bacterialinfection. Results The top three in 129 isolated pathogenic bacteria were Pseudomonas aeruginosa ( 24. 0% ) , Staphylococcus aureus( 22. 5% ) , and Acinetobacter baumannii( 15. 5% ) . The top three in 76 isolated multidrug-resistant bacteria were Staphylococcus aureus ( 38. 9% ) , Pseudomonas aeruginosa ( 25. 0% ) , and Acinetobacter baumannii( 19. 4% ) . And the two main strains in 29 isolated pandrug-resistant bacteria were Pseudomonas aeruginosa ( 48. 3% ) and Acinetobacter baumannii ( 44. 8% ) . Multi-factor logistic analysis revealed that the frequency of admition to RICU, the use of carbapenem antibiotics, the time of mechanical ventilation, the time of urethral catheterization, and complicated diabetes mellitus were independent risk factors for multidrug-resistant bacterial infection( all P lt; 0. 05) . Conclusions There is a high frequency of multidrug-resistant bacterial infection in RICU. Frequency of admition in RICU, use of carbapenem antibiotics, time of mechanical ventilation, time of urethral catheterization, and complicated diabetes mellitus were closely related withmultidrug-resistant bacterial infection.
Objective To investigate the value of bronchial mucosa biopsy and quantitative culture in the differential diagnosis of lower airway bacterial colonization and infection. Methods A prospective observational cohort survey onMDR Pseudomonas aeruginosa and Acinetobacter baumannii was carried out in intubed or tracheotomized patients with invasive ventilation in respiratory intensive care unite ( RICU) . A total of 50 ICU patients were followed for the detection of MDR pathogen colonization or infection from June 2008 to October 2009. All subjects were divided into an infection group and a colonization group according to the outcome of patients discharged fromthe RICU. Baseline information, APACHEⅡ scores, and CPIS scores were recorded on individual forms for each patient untill discharge or death. Bronchial mucosa biopsy was conducted on appropriate time to identify whether the patient was comfirmed as infection. Microbiological diagnosis was performed with quantitative culture. Results Fifty patients were enrolled in this study, of which infected in 23 cases and colonized in 27 cases. The time of invasive mechanical ventilation, length ofICU stay, catheter indwelling time, and the kinds of disease were significantly different between the two groups( P lt; 0. 05) . The kinds of using antibiotics before onset of multi-drug resistance of bacteria showed that cefoxitin/ cefmetazole and mezlocillin also had significant difference between the infection group and the colonization group. The results of dynamic CPIS score of the infection group showed that scores at each timepoint were higher than those in the colonization group. However, the results of t-test showed that there was higher score in the infection group than that in the colonization group on 14 days after intubation ( P lt;0. 05) . The bronchial mucosa biopsy showed that airway inflammation was detected in 19 cases in the infection group and 9 cases in colonization group. The positive rate in the infection and the colonization group were 55. 6% and 25. 0% , respectively assessed by traditional threshold of 103 cfu/mL for PSB in quantitative bacterial culture. In addition, there was more inflammatory cells in the patients with drug-resistant pathogens infection than that in the patients without nosocomial infection. The combination of bronchial mucosa biopsy and microorganism quantitative cultures had the highest sensitivity and specificity and the highest diagnostic accuracy. Conclusions Bronchial mucosa biopsy combining microorganism quantitative culture is feasible in identifying colonized or infected bacteria. Invasive mechanical ventilation time, length of ICU stay and the catheter indwelling time extending are risk factors for bacterial colonization.
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.
目的 对烧伤层流病房多重耐药菌感染的相关因素进行分析，通过护理干预来预防和减少烧伤病房多重耐药菌感染的发生。 方法 回顾性分析2011年1月－12月收治的629例烧伤患者，其中发生多重耐药菌感染74例，感染率为11.8%。 结果 感染部位：创面分泌物培养感染占70.2%，痰液标本培养感染占9.4%，血液标本培养感染占16.2%，其他占4.2%。感染病原菌：以金黄色葡萄球菌为主，占77.0%；鲍曼不动杆菌占4.2%，铜绿假单胞菌占10.8%，肺炎克雷伯菌占6.7%，真菌感染占1.3%。 结论 对发生医院内多重耐药菌感染的原因进行分析并及时采取相应的护理干预措施，及可行的医院感染管理控制措施，对烧伤患者预后有重要的意义，可有效降低院内感染率的发生。
目的 了解新生儿患者多重耐药菌社区感染的特点和定植情况，采取预防控制措施，防止在院内传播。 方法 对2011年9月－2012年8月所有新入院新生儿患者共801例进行耐甲氧西林金黄色葡萄球菌（MRSA）、耐万古霉素肠球菌（VRE）和产超广谱β内酰胺酶（ESBL）菌入院筛查，了解多重耐药菌社区感染的特点和定植情况。并将801例新生儿患者（观察组）医院感染发生率与2010年9月－2011年8月同期801 例新生儿患者（对照组）医院感染发生率进行比较。 结果 观察组发现MRSA和产ESBL菌共321例，检出率为40.1%。其中包括单纯MRSA 45例，占14.1%；产ESBL菌238例，占74.1%；MRSA+产ESBL菌38例，占11.8%。观察组医院感染发生率为2.0%，多重耐药菌医院感染构成比为12.5%；对照组医院感染发生率为5.1%，多重耐药菌医院感染构成比为53.6%；两组医院感染发生率和多重耐药菌医院感染构成比差异均有统计学意义（P＜0.01）。 结论 新生儿患者多重耐药菌定植情况严重，应引起高度重视，加强管理可防止在医院传播，减少医院感染发生。
目的 了解综合重症监护病房（ICU）呼吸机相关性肺炎（VAP）感染率、危险因素、病原菌分布及其耐药情况，探讨有针对性的预防控制措施。 方法 2009年1月－12月综合ICU共收治患者447例，采用主动监测方法，由ICU医务人员和专职人员每日对综合ICU病房住院时间≥48 h且撤停机械通气后48 h内的患者进行VAP监测。 结果 447例患者中住院时间≥48 h的患者168例，96例患者使用呼吸机，使用呼吸机时间182 d，ICU住院总日数1 339 d，发生VAP 17例，呼吸机使用率13.59%，VAP感染率93.4例/1 000机械通气日，根据平均病情严重程度（ASIS法）调整后的VAP感染率为2.38%。呼吸机使用方式与VAP发生有关联。检出病原菌18株，全部为Gˉ杆菌，其中鲍曼不动杆菌4株，对包括硫霉素、氨曲南在内的多种抗菌药物耐药。 结论 综合ICU病房VAP感染率为2.38%，呼吸机使用不当是VAP的危险因素，VAP致病菌为Gˉ杆菌，其中鲍曼不动杆菌耐药率达100%，并呈多重耐药性；抗生素使用时间过长，预防性使用不当是致病菌产生多重耐药的重要原因。
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 analyze epidemic characteristics of multidrug-resistant organism (MDRO) in Neurosurgical Intensive Care Unit (NSICU), and to analyze the status of infection and colonization, in order to provide reference for constituting intervention measures. MethodsPatients who stayed in NSICU during January 2014 to April 2015 were actively monitored for the MDRO situation. ResultsA total of 218 MDRO pathogens were isolated from 159 patients, and 42 cases were healthcare-associated infections (HAI) among 159 patients. The Acinetobacter baumannii was the most common one in the isolated acinetobacter. Colonization rate was positively correlated with the incidence of HAI. From January to December, there was a significantly increase in the colonization rate, but not in the incidence of HAI. ConclusionThe main MDRO situation is colonization in NSICU. The obvious seasonal variation makes the HAI risk at different levels. So it is necessary that full-time and part-time HAI control staff be on alert, issue timely risk warning, and strengthen risk management. The Acinetobacter baumannii has become the number one target for HAI prevention and control in NSICU, so their apparent seasonal distribution is worthy of more attention, and strict implementation of HAI prevention and control measures should be carried out.
ObjectiveTo learn the status quo and characteristics of multi-drug resistant organism (MDRO) infection in a comprehensive hospital of the first grade in Sichuan Province, analyze the effect of prevention and control intervention, in order to provide a scientific basis for clinical MDRO prevention and control. MethodsWe collected MDRO data from January to June 2014 and from January to June 2015 through multi-drug resistance reporting software, and analyzed and compared the infection of MDRO during those two time periods. Then, we evaluated the prevention and control effect of MDRO infection. ResultsThe number of inpatients from January to June 2014 was 24709, among which 813 were detected with MDRO infection. Of those infected patients, 196 had nosocomial infection of MDRO and the other 617 had community infection/colonization. The proportion of nosocomial MDRO infection was 24.10%. The MDRO nosocomial infection case rate was 0.79%. The proportion of community MDRO infection/colonization was 75.90%. The number of inpatients from January to June 2015 was 25329, and 739 of them were found with MDRO infection, of whom 132 had nosocomial infection and 607 community infection/colonization. The proportion of nosocomial MDRO infection was 17.86%. The MDRO nosocomial infection case rate was 0.52%. The proportion of community infection/colonization was 80.14%. Compared with the first half of 2014, the proportion of nosocomial MDRO infection was lower with a statistically significant difference (χ2=9.062, P<0.001), and MDRO nosocomial infection case rate was also significantly lowered (χ2=14.220, P<0.001). There were significant differences between the first half of 2015 and the same period of 2014 in hospital department distribution of MDRO infection, patient infection site distribution and pathogen detection. ConclusionThe nosocomial MDRO infection control situation of our hospital is improved after the comprehensive prevention and control interventions, and we should focus on the prevention and control of key departments, important infection sites and major resistant bacteria in the future MDRO hospital infection control work.