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 了解2011年1月－2012年12月临床分离病原菌的分布和耐药情况，为指导临床合理用药和医院感染的控制提供依据。 方法 采用法国梅里埃API半自动微生物鉴定分析系统进行细菌鉴定和药物敏感试验，对所得数据用WHONET 5.4软件完成统计分析。 结果 送检的3 073份临床标本中共分离出病原菌696株，阳性率22.1%。其中，G+菌占31.3%，G?菌占64.1%，主要为金黄色葡萄球菌（25.6%）、大肠埃希菌（17.8%）、肺炎克雷伯菌（16.4%）、铜绿假单胞菌（11.5%）。在葡萄球菌中，青霉素、红霉素的耐药率最高，分别是95.6%、78.5%；尚无耐万古霉素菌株。肠道杆菌中，阿莫西林的耐药率最高，为95.0%；替卡西林的耐药率为91.0%；头孢噻吩的耐药率为72.0%；尚无耐亚胺培南菌株。多重耐药的大肠埃希菌、肺炎克雷伯菌对亚胺培南具有良好的敏感性。 结论 该院临床分离的致病菌耐药情况不严重，对病原菌的分布和耐药情况的研究较好地指导了临床合理用药和控制了医院感染。
Bone malignancies exhibit the characteristics of high incidence, poor prognosis, and strong chemoresistance. Exosomal microRNAs can regulate the proliferation of bone malignant cells, improve chemoresistance, influence cell communication and the microenvironment, and have significant potential in the diagnosis and treatment of bone malignancies. Due to their stability, exosomal microRNAs can serve as non-invasive biomarkers for diagnosis and prognosis. However, their widespread application in clinical settings requires standardized research. This review summarizes the progress of exosomal microRNA research in various bone malignancies including osteosarcoma, chondrosarcoma, Ewing sarcoma, and fibrosarcoma, to provide new theoretical foundations and perspectives for the field.
ObjectiveTo investigate the distribution and drug resistance of pathogens in neonates with lower respiratory tract infection, and provide evidence for clinical rational antibiotic use. MethodsA retrospective analysis on 998 strains isolated from 5 486 sputum samples during January 1, 2009 to December 31, 2012 collected from hospitalized neonates was performed. ResultsOf the 998 isolated strains, the common pathogens were Klebsiella pneumoniae (23.1%), Escherichia coli (E. coli) (21.2%), Staphylococcus aureus (19.4%), and Enterobacter cloacae (8.4%). Klebsiella pneumonia, E. coli and Enterobacter cloacae were generally resistant to penicillin, but enzyme inhibitors could reduce the resistance rate. A large proportion of Klebsiella pneumonia was resistant to the third generation cephalosporins (78.4%), while E. coli and Enterobacter cloacae had a lower resistance rate (46.7% and 46.5%, respectively). There were 7 strains (3.0%) of Klebsiella pneumoniae and 1 (1.2%) strain of Enterobacter cloacae resistant to imipenem. Twenty-three strains (13.6%) of Klebsiella pneumoniae, 1 strain (0.7%) of E.coli and 1 strain (2.5%) of Enterobacter cloacae were resistant to ertapenem. A total of 97.0% of Staphylococcus aureus was resistant to penicillin, but only 11.0% was resistant to oxacillin, and all the isolates were sensitive to vancomycin. ConclusionGram negative bacteria are the common pathogens in the hospitalized neonates in our hospital. Klebsiella pneumonia, E. coli and Staphylococcus aureus are the common pathogens. The common pathogens show a high resistant level to antibiotics. Clinicians should evaluate the potential pathogens of infections based on the results presented in our study, in order to select antibiotics rationally when treating infections.
ObjectiveTo systematically review the health economic evaluation studies in which externalities of antibacterial drug uses were identified.MethodsPubMed, EMbase, The Cochrane Library, CNKI, WanFang Data and VIP databases were electronically searched to collect health economic evaluation studies in which externalities of antibacterial drug uses were identified from inception to December 31st, 2020. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Descriptive analysis was then performed.ResultsA total of 14 studies were included. Negative externalities and their impacts on costs and/or effectiveness were examined in 13 literature, and positive externalities in terms of an improvement in disease control were included in only one study. No study was found in which both negative and positive externalities were included. The methods used to quantify negative externalities included: only costs associated with drug resistance per prescription or per unit were calculated; both costs and health impacts associated with the second/third line treatments followed a treatment failure (due to drug resistance) were calculated using a decision tree. In one study in which positive externalities were measured, both health gain and cost reduction from an improvement in disease control (as a benefit of antibacterial drug uses) were calculated by constructing a dynamic model at the population level.ConclusionsWe propose that both the positive and negative externalities should be included in health economic evaluation. This can be achieved by measuring the relevant costs and health impacts in a broader perspective, using a disease-transmission dynamic model. In addition, to achieve an improved health utility measurement, disability-adjusted-life years rather than quality-adjusted-life years should be encouraged for use. Finally, both costs and effectiveness should be discounted.
Antimicrobial resistance is a rigorous health issue around the world. Because of the short turn-around-time and broad pathogen spectrum, culture-independent metagenomic next-generation sequencing (mNGS) is a powerful and highly efficient tool for clinical pathogen detection. The increasing question is whether mNGS is practical in the prediction of antimicrobial susceptibility. This review summarizes the current mNGS-based antimicrobial susceptibility testing technologies. The critical determinants of mNGS-based antibacterial resistance prediction have been comprehensively analyzed, including antimicrobial resistance databases, sequence alignment tools, detection tools for genomic antimicrobial resistance determinants, as well as resistance prediction models. The clinical challenges for mNGS-based antibacterial resistance prediction have also been reviewed and discussed.
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。
ObjectiveTo explore the distribution and rule of pathogen strains in the third quarter and fourth quarter of 2012, and to provide the basis for clinical medication. MethodsTo retrospectively analyze the bacterial culture and drug susceptibility test results in the third quarter and the fourth quarter of 2012. ResultsThere were isolated 932 plants in the third quarter, and 915 plants isolated in the fourth quarter. Heavy drug resistance rates of detection of Pseudomonas aeruginosa decrease slightly. There was more multiple drug resistance of A. baumanii, Escherichia coli, Klebsiella pneumoniae, and methicillin-resistant Staphylococcus aureus in the fourth quarter than in the third one. ConclusionThe resistant strain increases in the fourth quarter. We should attach importance to the clinical examination, bacterial drug resistance monitoring, and rational use of antimicrobial agents.
Objective To investigate the clinical manifestations,diagnosis and treatment of extensively drug-resistant tuberculosis (XDR-TB)meningitis. Methods One case of primary tuberculousis meningitis infected with multidrug-resistant mycobacteria was analyzed retrospectively.Relevant literatures were also reviewed by retrieving information through Wanfang Database and Pubmed using key words "multiple drug resistant tuberculosis meningitis","MDR tuberculosis meningitis","multiple drug resistant TBM","mul-drug resistant tuberculous meningitis","extensively drug resistant tuberculosis meningitis","XDR TBM","extensively drug resistant TBM" both in Chinese and English. Results A 24-year-old male patient,complained of headache,vomiting for 5 days,aggravated with mental abnormalities for 10 hours,with no history of pulmonary tuberculosis,was hospitalized in the Affiliated Hospital of Zunyi Medical College.The chest plain film was normal.Craniocerebral CT scan showed mild-hydrocephalus and cisterna ambiens stenosis.The patient died after undergoing anti-TB treatments with isoniazid(INH)0.3g iv qd,INH 0.3g po qd,rifampicin(RFP)0.45g qd,pyrazinamide(PZA)1.5g qd,ethambutol(EMB)0.75g qd,and dexamethasone(DEX)15mg qd.He was diagnosed as XDR-TB meningitis(as drug-resistant to isoniazid,rifampicin,streptomycin,ciprofloxacin,paminosalicylic acid,kanamycin,and protionamide ).Mycobacteria tuberculosis was isolated from his cerebrospinal fluid after 3 months.Five cases in 4 literatures were retrieved through Wanfang database and Pubmed among which 2 cases were initial treated,3 cases was unknown about initial treatment or re-treatment. Conclusions XDR-TB meningitis is rare in clinical practice with serious condition,rapid progress and high mortality rate.It is necessary to acquire drug susceptibility test results as soon as possible and adjust treatments according different conditions.A molecular drug susceptibility test may be helpful in the future.
Objective To survey and analyze the drug resistance of clinical isolated strains of bloodborne infectious staphylococci, in order to provide references for clinical diagnosis of aureus septicemia and rational use of antimicrobial agents. Methods We retrospectively studied the clinical data of 496 patients with staphylococcal septicemia confirmed by blood culture between June 2008 and May 2015 in West China Hospital of Sichuan University. The microbiological characteristics of the disease were analyzed. Results In the included 496 cases, there were 216 (43.55%) cases of coagulase-positive Staphylococcus (CPS) septicemia and 280 (56.45%) of coagulase-negative Staphylococcus (CNS) septicemia; 85 (17.14%) cases were caused by community infection, while the other 411 (82.86%) resulted from hospital infection. The drug resistance rate of CPS and CNS toward oxacillin was respectively 27.78% (60/216) and 87.50% (245/280), with a significant difference (P < 0.05). In al l the clinical isolated strains of CPS, the drug resistance rate of community infected strains and hospital infected strains toward oxacillin was respectively 9.67% (6/62) and 35.06% (54/154), with a significant difference (P < 0.05). For the clinical isolated strains of CNS, the drug resistance rate of community infected strains and hospital infected strains toward oxacillin was respectively 69.57% (16/23) and 89.11% (229/257), also with a significant difference (P < 0.05). Conclusions The drug resistance of hospital infected staphylococcal strains is stronger than community infected strains. The CNS strains are more drug-resistant than CPS strains.