ABSTRACT
OBJECTIVE: To analyze the role of nosocomial infection informatics surveillance system in the prevention and control of multidrug-resistant organisms(MDROs) infections. METHODS: The First Affiliated Hospital of Guangdong Pharmaceutical University was selected as the study subjects, which had adopted the nosocomial infection informatics surveillance system since Jan.2020. The period of Jan.to Dec.2020 were regarded as the study period, and Jan.to Dec.2019 were regarded as the control period. The situation of nosocomial infection and MDROs infections in the two periods were retrospectively analyzed. RESULTS: The incidence of nosocomial infections and underreporting of nosocomial infection cases in this hospital during the study period were 2.52%(1 325/52 624) and 1.74%(23/1 325), respectively, and the incidences of ventilator associated pneumonia(VAP), catheter related bloodstream infection(CRBSI), catheter related urinary tract infection(CAUTI)were 4.10(31/7 568), 2.11(14/6 634), and 2.50(25/9 993) respectively, which were lower than those during the control period(P< 0.05). The positive rate of pathogenic examination in the hospital during the study period was 77.95%(1 269/1 628), which was higher than that during the control period(P<0.05), the overall detection rate of MDROs was 15.77%(206/1 306), the detection rates of MDROs in Escherichia coli, Acinetobacter baumannii, Klebsiella pneumoniae, Staphylococcus epidermidis, Pseudomonas aeruginosa and Staphylococcus aureus were lower than those during the control period(P<0.05). CONCLUSION: The development and application of the informatics technology-based surveillance system of nosocomial infection could effectively reduce the incidence of nosocomial infections and device related infections, decrease the under-reporting of infection cases, and also reduce the detection rate of MDROs as well as the proportion of MDROs detected in common pathogenic species.
ABSTRACT
Objective: To analyze the distribution and drug resistance of pathogenic bacteria in blood culture specimens of patients with bloodstream infections before and after COVID-19 (2018-2019 and 2020-2021), and to provide scientific basis and reference for rational treatment and effective control of bloodstream infections in the post-epidemic period. Methods: Blood culture specimens were collected from patients in Zhongnan Hospital of Wuhan University in the two years before and after the COVID-19 outbreak (2018-2021). The Automated Blood Culture Systems were used to perform blood culture on blood specimens sent for clinical inspection, and the Vitek MS automatic bacterial identification mass spectrometer was used for strain identification and the Vitek 2 automatic bacterial drug susceptibility analyzer was used for drug susceptibility testing and drug resistance analysis. Results: Blood culture specimens were performed on 28 736 patients with suspected bloodstream infection submitted for inspection from January 2018 to December 2019, and a total of 2 181 strains of pathogenic bacteria were detected after removing duplicate strains, with a positive rate of 7.69%, including 1 046 strains of Gram-negative bacteria, accounting for 47.96%. From January 2020 to December 2021, blood culture specimens from 26 083 patients with suspected bloodstream infection were submitted for inspection, and a total of 2 111 strains of pathogenic bacteria were detected after excluding duplicate strains, with a positive rate of 8.09%, including 1 000 strains of Gram-negative bacteria accounted for 47.37%. The drug resistance of Klebsiella pneumoniae was relatively serious, and the sensitivity rate to ertapenem, polymyxin B and tigecycline was more than 90%. The main non-fermentative bacteria Acinetobacter baumannii was more than 50% sensitive to piperacillin/tazobactam, amikacin and polymyxin B. The sensitivity rates of Pseudomonas aeruginosa to piperacillin/tazobactam, ceftazidime, cefepime, amikacin, gentamicin, tobramycin, ciprofloxacin, levofloxacin, piperacillin and meropenem were more than 50%. Conclusions: In the two years before and after COVID-19, there are many types of pathogenic bacteria in bloodstream infection, but the distribution do not differ significantly. The pathogens of bloodstream infection are mainly distributed in ICU, hepatobiliary research institute, and nephrology department. Among them, Gram-negative bacteria such as Escherichia coli, Klebsiella pneumoniae and Acinetobacter baumannii are the main ones, and different pathogens showed great differences in drug resistance.
ABSTRACT
Objective: To explore the distribution and correlation of pathogens in the elderly patients with AECOPD, so as to guide the rational use of antibiotics and hormones in clinic. Methods: A total of 111 patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) admitted to Nanjing First Hospital from January 2019 to January 2020 were retrospectively analyzed. The basic data such as eosinophil, neutrophil and lymphocyte count, the levels of C-reactive protein(CRP) and erythrocyte sedimentation rate (ESR)in blood routine examination were collected. Further, the pathogens were qualified by sputum fluorescence quantitative polymerase chain reaction, and the pathogens distribution was analyzed. Results: The level of ESR and the ratio of cardiovascular diseases showed significant differences between the pathogen-positive group and pathogen-negative group. In this study, the top five pathogens in AECOPD patients were EB virus (21.6%), Haemophilus influenzae (19.8%), Streptococcus pneumoniae (17.1%), herpes simplex virus(14.4%), influenza A virus(14.4%). The detection rate of influenza A virus was correlated with influenza B virus and Aspergillus (P < 0.05);The detection rate of respiratory syncytial virus was correlated with Candida, Moraxella catarrholis, Streptococcus pneumoniae and Haemophilus influenzae (P < 0.05);The detection rate of Escherichia coli was correlated with rhinovirus, adenovirus, Klebsiella pneumoniae and Acinetobacter baumannii (P < 0.05);The detection rate of Candida was correlated with that of Moraxella catarrholis and Pseudomonas aeruginosa(P<0.05);The detection rate of human coronavirus was correlated with Haemophilus influenzae, herpes simplex virus and Streptococcus pneumoniae(P < 0.05). Conclusions: AECOPD are mostly induced by different pathogens, especially mixed infection of bacteria and virus. It is helpful to guide the rational use of antibiotics by analyzing the etiological characteristics in the elderly patients with AECOPD.
ABSTRACT
Background: The pattern of bacterial infection in coronavirus disease 2019 (COVID-19) patients differ worldwide. Objectives: This study aimed to determine the patterns of bacterial infections and the antibiotic resistance profile by VITEK 2 (bioMerieux, France) in the culture of blood samples from hospitalized patients with COVID-19.
ABSTRACT
OBJECTIVE: Due to the lack of effective monitoring of microbial spectrum of medical waste collection, transport, storage and transfer path, as well as the evaluation of disinfection effects in medical institutions, this study aimed to explore the microenvironment, prevention and control difficulties and management opinions of medical waste disposal path through the microbial analysis of the medical waste disposal path in model departments. METHODS According to the standard process, the environmental samples at different time periods before and after the disinfection of the medical waste disposal path in the model department were collected and analyzed. The drug resistance and molecular typing traceability of important pathogens were analyzed. And the dynamic effect of the whole path application of the disinfection scheme for medical waste disposal in the model department were evaluated. Efficient frequency and application effect of disinfection of and hygiene of relevant places and gloves were evaluated through environmental monitoring before and after disinfection. RESULTS Most of the isolated strains were environmental microorganisms, Acinetobacter baumannii, Pseudomonas aeruginosa, Streptococcus pneumoniae, Enterococcus faecalis and Enterococcus faecium were also isolated, and a multidrug-resistant A. baumannii strain was identified. Through typing and tracing the source, the multiple strains of A. Baumannii were found to be of different genetic origins and the two strains were from the same clonal line. Using original detection technology, no contamination of Salmonella and Shigella was found in the path. The new coronavirus and norovirus were not detected. However, the environmental pollution of rotavirus was obvious. CONCLUSION The risk of random transmission of rotavirus cannot completely solved by existing hand-sterilized regents. Timely or even frequent replacement of gloves is a simple solution in the workflow. The sterilized medical waste transfer vehicles are likely to become the pollution source of rotavirus after passing through a certain medical waste path. The medical waste disposal personnel should replace the rotating vehicle in time before entering other wards. In addition, due to the weak professional ability of cleaners, simple and easy process guidelines is the most effective solution at present.
ABSTRACT
OBJECTIVE: To explore the prevalence of carbapenem-resistant gram-negative bacilli(CRO) infection and the economic burden in a tertiary general hospital of Qinghai province. METHODS: The clinical data, length of hospital stay and costs of hospitalization were retrospectively collected from the patients with Klebsiella pneumoniae, Acinetobacter baumannii and Pseudomonas aeruginosa hospital-acquired infection who were hospitalized in Qinghai Provincial Hospital from Jan 2017 to Dec 2017. The patients were divided into the drug-resistant group and the non drug-resistant group according to the result of drug susceptibility testing. The length of hospital stay and hospitalization cost were compared between the two groups of patients. RESULTS: A total of 521 patients were involved in the study, 120 of who had CRO infection(the drug-resistant group), and 40 had carbapenem-sensitive organisms infection(the non drug-resistant group). The median length of hospital stay of the drug-resistant group was 19 days, the median total hospitalization cost was 31 292 yuan;the median length of hospital stay of the non drug-resistant group was 15 days, the median total hospitalization cost was 22 610 yuan, and there were significant differences between the two groups(P<0.05). Stratified analysis showed that the median length of hospital stay of the patients with carbapenem-resistant K.pneumoniae infection was 17 days, the medial total hospitalization cost 25 227 yuan, the length of hospital stay of the non drug-resistant group was 14 day, the median total hospitalization cost 20 326 yuan;the median lengths of hospital stay of the patients with respiratory tract infection and the patients with bloodstream infection were respectively 19 days and 30 days in the drug-resistant group, the median total hospitalization costs were respectively 30 315 yuan and 30 050 yuan;the median lengths of hospital stay of the patients with respiratory tract infection and the patients with bloodstream infection were respectively 15 days and 13 days in the non drug-resistant group, the median total hospitalization costs were respectively 21 562 yuan and 24 853 yuan, and there were significant differences(P<0.05). CONCLUSION: The hospital-acquired CRO infection may lead to the increase of length of hospital stay and hospitalization cost of the hospitalized patients as well as the economic burden. It is necessary to take effective measures to reduce the incidence of hospital-acquired CRO infection.
ABSTRACT
INTRODUCTION: Acinetobacter baumannii is an important causative agent of ventilation-associated pneumonia capable of long-term survival in the hospital setting. Increasing resistance to antibiotics effective against this pathogen is of concern. In this study, the antibiotic resistance profiles of A. baumannii strains grown in endotracheal aspirate (ETA) cultures in intensive care units and the effect of the COVID-19 pandemic on the resistance profiles in our province where the highest number of cases were observed in our country for a long time were investigated. METHODS: Our study included 74 A. baumannii isolates isolated from ETA samples that was sent to our laboratory from the intensive care units of Bafra State Hospital between January 2019 and December 2020. Bacteria were identified using conventional methods and a semi automatic bacterial identification system Vitek-2 (bioMerieux, France). The antibiotic susceptibility tests of the isolated strains were studied in accordance with the European Committee for Antimicrobial Susceptibility Testing (EUCAST) standards. Antibiotic susceptibility of A. baumannii strains was tested with Vitek-2 system. RESULTS: The mean age and standard deviations of 18 patients before the COVID-19 pandemic and 56 patients after the pandemic were found to be 83.0 +or- 8.3 and 70.5 +or- 14.9 (p < 0.001), respectively. A statistically significant difference was found between the distributions of gender by years (p=0.025). While 55.6% of the patients were female in 2019, 73.2% of the patients in 2020 were male. There was no difference between the two periods in terms of death rates (p=0.628) and respiratory support needs (p=0.191). It was determined that the pandemic increased the number of isolated A. baumannii by 311%. For the two periods, resistance was greatest for piperacillin/tazobactam, ceftazidime, ciprofloxacin and against imipenem. Examinig the two periods, amikacin resistance was seen to a lesser extent in 2020. A statistically significant difference was found between tigecycline resistance rates according to years (p < 0.001). While the tigecycline susceptibility of strains was 88.9% in 2019, it was found to be 26.8% in 2020.11.1% of the strains in 2019 and 64.3% in 2020 were found to be moderately susceptible. In this study, colistin resistance was observed in one (1.4%) of all isolates, while tigecycline resistance was detected in five isolates (6.8%). One isolate (1.4%) was susceptible to all antibiotics except ceftazidime. When the multi-antibiotic resistance of 73 A. baumannii isolates was examined, multidrug resistant (MDR) was 22.9% (n: 17), extensive drug resistance (XDR) was 74.3% (n: 55), pandrug resistance (PDR) was 1.4% (n: 1). Although there was a statistical difference in amikacin, meropenem and tigecycline resistances before and after the pandemic, no difference was found between the resistance patterns (p=0.281). DISCUSSION AND CONCLUSION: It has been observed that the most effective antibiotics against A. baumannii are colistin and tigecycline. It was determined that the COVID-19 pandemic did not change the resistance pattern rates. It is thought that success in fighting this infection will increase when each hospital determines its own resistance patterns, updates empirical treatment protocols based on their results, and clinicians use appropriate antibiotics early.
ABSTRACT
This proceedings contains 13 papers focusing on the effect of green tea extract in modulating the antibacterial activity of standard antibiotics against clinical isolates of Acinetobacter baumannii, in silico screening of Ziziphus spina-christi and Strychnos ligustrine compounds as a proteinase inhibitor of SARS-COV-2, antioxidant and antifungal propterties of palu shallot (Allium ascalonicum var. aggregatum), probiotic properties and safety of lactic acid bactera isolated from South Sulawesi ethnic cheese, pharmacognostics of 2 Orthoshipon aristatus varieties and effect of honey consumption after physical exercises on electrolytes and blood sugar levels, among others.
ABSTRACT
OBJECTIVE: To understand the trend of nosocomial infection in different period of noval coronavirus pneumonia, and to provide the basis for the management of nosocomial infection under the epidemic situation. METHODS: Case study was adopted to investigate the situation of nosocomial infection in a grade III level A hospital from Nov 16, 2019 to Jul 19, 2020. And the trend of nosocomial infection was analyzed. RESULTS: During 16 Nov 2019 and 19 Jul 2020, 69101 case-times patients were identified. The hospital infection rates in the four periods of the epidemic were 1.30%, 0.90%, 0.59% and 0.58%, respectively. The age composition of patients infected during different stages of the epidemic was mainly>31 years old, and the top three infectious pathogens were Acinetobacter baumannii complex, Klebsiella pneumoniae and Escherichia coli. The invasive operation causing nosocomial infection in patients was mainly the use of ventilators, urinary tract intubation, central intravenous intubation. The nucleic acid detection rates of nosocomial infection in hospital admission patients during the four periods were 0,0.96%, 0.59%, and 0.58%, respectively. CONCLUSION: The nosocomial infection rates of the new coronavirus in the hospital was lower than the national average in different periods of COVID-19. The age composition and high-risk infection sites of infections can provide reference for hospital infection management in the future.