Antimicrobial stewardship (AMS) is an important means to control bacterial resistance. The unique situation of intensive care unit (ICU) poses a challenge to AMS. This article reviews the literature on AMS in the ICU at home and abroad in recent years, and summarizes the related measures of AMS. Effective AMS measures in the ICU include setting up a multidisciplinary AMS team, using rapid microbial diagnosis technology to shorten the time of diagnosis, using non-culture methods to assess the necessity of antimicrobial therapy for patients with suspected sepsis, and evaluating the effectiveness of antimicrobial therapy as early as possible and optimizing it. These initiatives aim to increase the rational use of antimicrobials in ICU, reduce the risk of multidrug-resistant infections, and improve patients’ condition.
ObjectiveTo investigate the condensate pollution in the pipeline of severe pneumonia patients undergoing mechanical ventilation.MethodsFrom January 2017 to January 2019, 120 patients with severe pneumonia treated by mechanical ventilation in our hospital were collected continuously. The lower respiratory tract secretions were collected for bacteriological examination. At the same time, the condensed water in the ventilator exhaust pipe was collected for bacteriological examination at 4, 8, 12, 16, 20 and 24 hours after tracheal intubation and mechanical ventilation. The bacterial contamination in the condensed water at different time points was analyzed and separated from the lower respiratory tract. The consistency of bacteria in secretion and drug resistance analysis of bacterial contamination in condensate water were carried out.ResultsOf the 120 patients with severe pneumonia after mechanical ventilation, isolates were cultured in the lower respiratory tract secretions of 102 patients. One strain was cultured in 88 cases, two strains were cultured in 10 cases, and three strains were cultured in 4 cases. The isolates were mainly Gram-negative bacteria (57.5%) and Gram-positive bacteria (42.5%). The most common isolates were Pseudomonas aeruginosa, Staphylococcus aureus and Acinetobacter baumannii. The contamination rate of condensate water was 5.0% at 4 hours, 37.5% at 8 hours, 60.0% at 12 hours, 76.7% at 16 hours, 95.0% at 20 hours, and 100.0% at 24 hours, respectively. The bacterial contamination rate in condensate water at different time points was statistically significant (P=0.000). The pollution rate at 4 hours was significantly lower than that at 8 hours (P=0.000). Gram-negative bacteria accounted for 57.5% and Gram-positive bacteria accounted for 42.5%. The most common isolates were Staphylococcus aureus, Pseudomonas aeruginosa and Acinetobacter baumannii. The consistency of bacteria in lower respiratory tract and condensate water was 83.3% in severe pneumonia patients undergoing mechanical ventilation. The overall resistance of Pseudomonas aeruginosa, Acinetobacter baumannii and Staphylococcus aureus was higher, but the resistance to imipenem/cilastatin was lower.ConclusionsThe bacterial contamination in the condensate of patients with severe pneumonia during mechanical ventilation is serious. The pollution rate is low within 4 hours. It is consistent with the bacterial contamination in lower respiratory tract and the bacterial resistance is high.
目的：为临床合理应用抗生素提供依据。方法：采用VITEK 32及GNS--120药敏卡、GPS -107药敏卡进行细菌的鉴定及药敏实验。结果：320 株病原菌中，革兰氏阳性菌占28.75 %，革兰氏阴性菌占71.25 %，其中大肠埃希菌、铜绿假单胞菌、鲍曼复合醋酸钙不动杆菌、阴沟肠杆菌、金黄色葡萄球菌是临床上主要致病菌。结论：临床应科学合理选用抗生素，尽量减少和延缓耐药菌的发生及发展。
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。
Objective To analyze the drug resistance genes, virulence genes and homologies of carbapenem-resistant Klebsiella pneumoniae (CRKP) colonized and infected patients in surgical intensive care unit based on whole genome sequencing. Methods Whole genome sequencing analysis was performed on CRKP infected strains isolated from the Department of General Surgery Intensive Care Unit and the Department of Liver Surgery Intensive Care Unit of Zhongshan Hospital, Fudan University in March 2021 and CRKP colonized strains isolated from the above departments between January and March 2021. The drug resistance genes, virulence genes and homologies of the strains were analyzed. ResultsA total of 16 CRKP strains were included, including 10 colonized strains and 6 infected strains. Except for the β-lactamase drug resistance gene CTX (16.7% vs. 100.0%, P<0.05), there was no significant difference in the detection rate of other drug resistance genes between CRKP infected strains and colonized strains (P>0.05). The cluster analysis of drug resistance genes of some strains was relatively close. Whole genome sequencing analysis showed that CRKP strains carried a variety of virulence genes, and the detection rates of entB, irp2, iroN, and rmpA genes were 100.0%, 87.5%, 37.5%, and 62.5%, respectively. There was no significant difference in the detection rate of virulence genes between CRKP infected strains and colonized strains (P>0.05). Homology analysis showed that some strains had close homologous relationships, and there was the possibility of cross transmission. Conclusions Some of CRKP infection strains and colonization strains in surgical intensive care unit patients have the risk of cross transmission. In the future, we should strengthen the prevention and control of nosocomial infection to reduce the incidence of infection.
ObjectiveTo investigate the molecular mechanism by which metastasis-associated protein 3 (MTA3) participates in glioma resistance through reactive oxygen species. Methods Protein expression in glioma stem cells (GSCs) and non-GSCs was detected using Western blotting. GSCs included U87 and SHG44 cells, while non-GSCs included U87s and SU-2 cells. After overexpressing MTA3, U87 and SHG44 cells were divided into Lv-scr and Lv-MTA3 groups. The self-renewal capacity of glioma cells was assessed through a neurosphere formation assay. Cell survival fractions were examined following exposure to 0, 2, 4, 6, 8, and 10 Gy X-ray irradiation under normoxic or hypoxic conditions. Apoptosis and reactive oxygen species expression were analyzed using flow cytometry. Immunofluorescence staining was performed to detect the stem cell markers CD133 and nestin, as well as the differentiation markers glial fibrillary acidic protein (GFAP, for astrocytes) and neuronal class Ⅲ β-tubulin. Results In GSCs, MTA3 expression was lower in the U87s and SU-2 groups. After MTA3 overexpression, Lv-MTA3 expression was higher in U87s and SU-2 compared to the Lv-scr group. Under normoxic or hypoxic conditions, U87 and SU-2 showed greater radioresistance compared to glioma cell lines U87 and SHG44. Compared to non-GSCs, basal reactive oxygen species formation was reduced in GSCs, while reactive oxygen species generation was increased in non-GSCs. Following exposure to different doses of X-rays under normoxic or hypoxic conditions, GSCs with MTA3 overexpression exhibited greater radiosensitivity than those with stable integration. Additionally, MTA3 overexpression slightly increased the oxygen enhancement ratio (OER) in GSCs. MTA3 overexpression reduced the immunoreactivity of CD133 and nestin in both stem cell lines, and increased immunofluorescence staining of GFAP and neuronal class Ⅲ β-tubulin, with statistically significant differences (P<0.05). Conclusions MTA3 is downregulated in GSCs. Overexpression of MTA3 reduces the radioresistance and stemness of GSCs both in vitro and in vivo. MTA3 plays a crucial role in regulating the radiosensitivity and stemness of GSCs through reactive oxygen species.
【Abstract】 Objective To detect the expression of lung resistance protein (LRP) and investigate its significance in pancreatic carcinoma cell lines (SW1990, PCT-2, PCT-3, PCT-4, Aspc-1, Capan-1, Mia-PaCa-2 and Panc-1). Methods Reverse transcription PCR (RT-PCR) and immunocytochemistry (ICC) were carried out to investigate the expression of LRP. Results LRP mRNA was absent in PCT-2 cell line by RT-PCR. Mild to moderate expression level was found in other pancreatic carcinoma cell lines. PCT-4, Aspc-1 and Panc-1 presented the highest LRP mRNA expression level, in contrast, SW1990, PCT-3, Capan-1 and Mia-PaCa-2 showed moderate LRP mRNA expression. The median value was 0.56±0.33. LRP was further validated by ICC. Absent to weak protein expression of LRP was found in PCT-2 and PCT-3. Overexpressed LRP was present in SW1990, Capan-1 and Aspc-1, furthermore, the highest expression of LRP was found in Panc-1, Mia-PaCa-2 and PCT-4 cell lines. Conclusion All these data showed that LRP might play an important role in multidrug resistance of pancreatic carcinoma.
摘要:目的:了解细菌药物敏感性以指导临床合理选用抗生素。方法:采用VITEK32及GNS120药敏卡、GPS107药敏卡完成细菌的鉴定及药敏实验。结果:葡萄球菌占72.5%。青霉素对葡萄球菌敏感性几乎为0,葡萄球菌的产酶率均在95%以上。结论:临床应了解细菌对抗生素的耐药特点,掌握好适应症,科学合理选用抗生素
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.
Objective To explore the clinical effect of failure mode and effect analysis (FMEA) combined with PDCA cycle management model in the prevention and control of multidrug-resistant organisms (MDROs) in intensive care unit (ICU), and provide evidences for drawing up improvement measures in healthcare-associated MDRO infections in ICU. Methods In January 2020, a risk assessment team was established in the Department of Critical Care Medicine, the First People’s Hospital of Longquanyi District of Chengdu, to analyze the possible risk points of MDRO infections in ICU from then on. FMEA was used to assess risks, and the failure modes with high risk priority numbers were selected to evaluate the high-risk points of MDRO infections. The causes of the high-risk points were analyzed, and improvement measures were formulated to control the risks through PDCA cycle management model. The incidence of healthcare-associated MDRO infections in ICU, improvement of high-risk events, and satisfaction of doctors and nurses after the implementation of intervention measures (from January 2020 to June 2021) were retrospectively collected and compared with those before the implementation of intervention measures (from January 2018 to December 2019). Results Six high-risk factors were screened out, namely single measures of isolation, unqualified cleaning and disinfection of bed units, irrational use of antimicrobial agents, weak consciousness of isolation among newcomers of ICU, weak awareness of pathogen inspection, and untimely disinfection. The incidence of healthcare-associated MDRO infections was 2.71% (49/1800) before intervention and 1.71% (31/1808) after intervention, and the difference between the two periods was statistically significant (χ2=4.224, P=0.040). The pathogen submission rate was 56.67% (1020/1800) before intervention and 61.23% (1107/1808) after intervention, and the difference between the two periods was statistically significant (χ2=7.755, P=0.005). The satisfaction rate of doctors and nurses was 75.0% (30/40) before intervention and 95.0% (38/40) after intervention, and the difference between the two periods was statistically significant (χ2=6.275, P=0.012). Conclusions FMEA can effectively find out the weak points in the prevention and treatment of MDRO infections in ICU, while PDCA model can effectively formulate improvement measures for the weak points and control the risks. The combined application of the two modes provides a scientific and effective guarantee for the rational prevention and treatment of MDRO infections in ICU patients.