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.
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。
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 confirm the effect of comprehensive prevention and care measures in reducing the incidence of multi-drug resistance in Intensive Care Unit (ICU) patients. MethodFrom March 1 to August 31 in 2014, we took routine measures to prevent multi-drug-resistant infections in ICU patients, and from September 1 in 2014 to February 28 in 2015, We added a series of comprehensive prevention measures to prevent multi-drug resistant infections including focus on isolation, temperature control of the ward, ward disinfection, quality improvement of basic care, standardized management and disinfection of equipments in ICU. Finally, we compared the detection rate of multi-drug resistant patients before and after the comprehensive nursing intervention. ResultsAfter taking comprehensive care interventions and a six-month monitoring, the detection rate of multi-resistant bacteria occurred in 11.87‰ of the patients. Compared with the previous six months, the detection rate dropped from 16.64‰ to 11.87‰ with a significant difference (χ2=6.346,P=0.012). ConclusionsComprehensive nursing intervention measures taken by the ICU department can effectively reduce multi-drug resistant infections in ICU patients.
ObjectiveTo investigate the effect of multidrug resistant (MDR) bacterial infection in clinical course of acute pancreatitis. MethodsThe medical records of 134 patients with a diagnosis of infected pancreatic necrosis in West China Hospital from Jan. 2003 to Jun. 2010 were reviewed. ResultsMDR microorganisms were found in 78 of the 134 patients. MDR group had higher rate of transferred patients than non-MDR group (38.5% vs. 10.7%, P=0.002). The intensive care unit admission rate was significantly higher in patients with MDR bacterial infections (48.7% vs. 26.8%, P=0.01). The mean intensive care unit stay was significantly longer in patients with MDR bacterial infections (20 days vs. 3 days, P<0.001). Mortality and total hospital stay was not significantly different in the patients with MDR infections vs. those without it (20.5% vs. 14.3%, P>0.05; 78 d vs. 55 d, P>0.05). ConclusionClinicians should be aware of the high incidence and impact of MDR infections in patients with acute necrotizing pancreatitis, especially in transferred patients.
Objective To evaluate the effect of active screening and intervention of multidrug-resistant organisms (MDROs) on control nosocomial infection in the general intensive care unit (ICU). Methods A non-concurrent control trial was conducted in patients hospitalized in the ICU for more than 24 hours in the Second Affiliated Hospital of Fujian Medical University. Patients underwent active screening of MDROs for nasal vestibular swab, throat swab and rectal swab combined with further intensive intervention for patients with positive screening result during Sept. 2014 to Aug. 2015 were included as an intervention group, patients only underwent active screening during Sept. 2013 to Aug. 2014 were included as a screening group, and patients without undergoing active screening during Sept. 2012 to Aug. 2013 were as a control group. SPSS 19.0 software was used to compare the hospital infection rate and the infection rate of MDROs among the three groups. Results A total of 1 773 patients were included, of which 655 patients were in the intervention group, 515 patients were in the screening group, and 603 patients were in the control group. The difference of hospital infection rates among the three groups was statistically significant (χ2=21.087, P < 0.001), and further pairwise comparison results showed that the intervention group was lower than the screening group (χ2=5.891, P=0.015), and the screening group was lower than the control group (χ2=4.259, P=0.039). The adjustment daily infection rate of the intervention group, screening group and control group were 6.69‰, 10.88‰, and 15.39‰, respectively. The difference of MDROs hospital infection rates among the three groups was statistically significant (χ2=21.039, P < 0.001), and further pairwise comparison results showed that the intervention group was lower than the screening group (χ2=5.936, P=0.015), and the screening group was lower than the control group (χ2=5.798, P=0.016). The MDROs thousand daily infection rate of the intervention group was lower than that of the screening group (3.90‰ vs. 7.30‰, χ2=5.999, P=0.014). Conclusion The active screening plus intensive intervention of MDROs can effectively reduce the incidence rates of nosocomial infections and MDROs infections in ICU.
ObjectiveTo explore the effects of burn ward cleaning methods on multi-drug resistant bacteria infection, in order to improve and optimize the cleaning process and method. MethodsFrom November 2012 to October 2013, the cleaning and disinfection methods in our burn wards were regarded as the traditional cleaning methods, and from November 2013 to October 2014, the cleaning and disinfection methods were called the improved cleaning methods (new system cleaning methods). By retrospective analysis, we compared the infection rates of multi-drug resistant bacteria before and after the implementation of the new system cleaning methods. ResultsNew system methods were used in the ward environment cleaning and disinfection. The infection rate of multi-drug resistant bacteria before and after the implementation of the new system cleaning methods were 12.414‰ and 5.922‰ respectively. The methicillin resistant Staphylococcus aureus infection rate was 7.286‰ and 3.718‰, and the carbon-resistant Pseudomonas aeruginosa infection rate was 2.699‰ and 0.689‰. Both differences were significant (P < 0.05). The carbon-resistant Acinetobacter baumanii infection rate was 2.429‰ and 1.515‰ before and after the implementation of the new methods with no significant difference (P > 0.05). ConclusionAdopting new system to carry out cleaning can effectively reduce the infection rate of multi-drug resistant bacteria in the burn ward, and it is worthy of clinical popularization and application.