ObjectiveTo find out the major isolates distribution, drug resistance changes of multidrug-resistant organisms (MDRO) in 2013 for rational use of antibiotics and hospital infection control.
MethodsA total of 32 566 cultured bacteria samples from the patients diagnosed between January 1st and December 31st 2013 were collected, using conventional tube biochemical assays and semi-automatic automicrobic (AMS) for bacteria identification; and antimicrobial susceptibility testing, major drug resistance mechanism detection were performed according to CLSI documents. MDRO definition was made according to the 2011 international consensus from European Center for Disease Control and Prevention (CDC), American CDC, Clinical and Laboratory Standards Institute (CLSI), and Food and Drug Administration. The data was analyzed by WHOnet 5.6 software.
ResultsWe got 3 684 strains isolates, G- accounted for 76.08%, G+ 16.80%, fungi 7.11%, and fastidious bacteria 17.29%. The top ten isolates in order were:E.coli, A.baumannii, Ps.aeruginosa, H.influenzae, K.pneumoniae, S.aureus, S.pneumoniae, A.fumigatus, M.catarrhalis and C.freundii. From the first quarter 2012 to the fourth quarter 2013, the extended spectrum β lactamases (ESBL)-producing E.coli increased from 40.23% to 53.54%, ESBL-producing K.pneumonia increased from 14.28% to 34.78%, XDR-A.baumannii increased from 62.38% to 99.25%, metalloenzyme-producing Ps.aeruginosa increased from 7.37% to 25.37%, methicillin resistant staphylococcus aureus increased from 23.81% to 58.70%, and VRE increased from 0.00% to 28.12%.
ConclusionIn the isolates, the percentage of G- was the highest, and the rate of MDRO are all unremittingly raising, which suggests us should pay more attention to microbiology analysis, rational use of antibiotics, strengthening hospital infection control, reducing the bacterial resistance, and strengthening MDRO surveillance.
ObjectiveTo enhance the management of occupational exposure, improve post-exposure reporting, promote post-exposure follow-up, reduce blood-borne infections caused by exposure, and ensure occupational safety among medical staff by using comprehensive measures based on nosocomial infection management system.MethodsAll the reported cases of occupational exposure were retrospectively collected from August 2012 to July 2018. The cases were divided into the control group (from August 2012 to July 2015) in which the data were reported in paper, and the observation group (from August 2015 to July 2018) in which the data were reported by nosocomial infection management system. The report and follow up results of occupational exposure in the two groups were compared and analyzed.ResultsAfter three years application of nosocomial infection management system, the occupational exposure report increased 95.8% (increased from 16.7 cases per year to 32.7 cases per year); the follow-up ratio of occupational exposure after one month,3 months and 6 months increased from 65.0% to 93.3% (χ2=15.184, P<0.001), 45.0% to 73.3% (χ2=9.033, P=0.003), and 25.0% to 53.3% (χ2=8.522, P=0.004), respectively.ConclusionApplication of nosocomial infection management system can increase the report of occupational exposure and the follow-up ratio of occupational exposure significantly.
ObjectiveTo understand the current status of nosocomial infections in a municipal medical unit, to find problems in daily monitoring, and to provide the evidence for the prevention and control of nosocomial infection in high-risk groups and procedures.
MethodsAccording to the 2013 survey requirements made by the nosocomial infection control center of Chengdu, we made a cross-sectional survey about nosocomial infection among all the inpatients on July 25th, 2013 and statistically analyzed the results.
ResultsTotally, 1 301 cases were actually investigated within 1 307 inpatients of the time (the actual investigation rate was 99.54%). The prevalence rate of nosocomial infection was 3.38% (44 cases). The top five departments of infection rate were Respiratory Intensive Care Unit (RICU), Center of Intensive Care Unit (CICU), Department of Neurosurgery, Department of Thoracic Surgery and Department of General Surgery. The main site of infection was respiratory tract, which took possession of 62.25%. In univariate analyses, age≥60, length of hospital stay >2 weeks, invasive operation, history of diabetes, operation, radiotherapy/chemotherapy, utilization of antibiotics were found to be risk factors for infections. Multivariate analysis showed that length of hospital stay (OR=3.115, P=0.001), invasive operation (OR=14.930, P<0.001), diabetes mellitus (OR=2.157, P=0.046), radiotherapy/chemotherapy (OR=7.497, P<0.001) were independent risk factors for nosocomial infections. The utilization rate of antibiotics was 45.73%. Among them, there was 85.21% using single antibiotics, and 82.18% of them were used therapeutically.
ConclusionUnderstanding the current status of nosocomial infection in municipal hospitals helps us grasp the key and difficulty of infection control, make out prevention-control measures for high-risk groups and high-risk departments, and guide and supervise its implementation in clinical departments, which points out the direction to further reduce the incidence of nosocomial infection.
ObjectiveTo evaluate the role of CD3+CD4+T cells in patients with nosocomial infection in ICU.
MethodsOne-hundred and eleven patients who admitted in ICU and in respiratory department from March to December in 2014 were recruited in the study.There were 33 patients with community-acquired pneumonia (CAP group), 31 patients without nosocomial infection (NNI group), and 47 patients with hospital-acquired pneumonia (HAP group).The counts of T cells, B cells, CD3+CD4+ T cells, CD3+CD8+ T cells, and NK cells were compared among three groups.
ResultsThe comparison among the groups had no statistical significance in sex and age(P > 0.05).The three groups had statistical significance in APACHEⅡscore, CD3+CD4+T cells, T cells and B cells, but had no statistical significance in CD3+CD8+T cells, CD3+CD4+/CD3+CD8+ T cells, NK cells, white blood cells, neutrophils, procalcitonin or C reactive protein.CD3+CD4+T cells of HAP group were less than other two groups.The area under the ROC curve (AUC) was 0.660, with a threshold of 29.96%, a sensitivity of 93.8%, and a specificity of 40.4%.
ConclusionCD3+CD4+ T cell is an independent predictor for nosocomial infection.
ObjectiveTo explore the distribution of multidrug resistant organism in neonates admitted to the hospital through various ways, and analyze the risk factors in order to avoid cross infection of multidrug resistant organism in neonatology department.
MethodsA total of 2 124 neonates were monitored from January 2012 to July 2013, among which 1 119 were admitted from outpatient department (outpatient group), 782 were transferred from other departments (other department group), and 223 were from other hospitals (other hospital group). We analyzed their hospital stays, weight, average length of stay, and drug-resistant strains, and their relationship with nosocomial infection.
ResultsAmong the 105 drug-resistant strains, there were 57 from the outpatient group, 27 from the other department group, and 21 from the other hospital group. The positive rate in the patients transferred from other hospitals was the highest (9.42%). Neonates with the hospital stay of more than 14 days and weighing 1 500 g or less were the high-risk groups of drug-resistant strains in nosocomial infection. Drug-resistant strains of nosocomial infection detected in the patients admitted through different ways were basically identical.
ConclusionWe should strengthen screening, isolation, prevention and control work in the outpatient neonate. At the same time, we can't ignore the prevention and control of the infection in neonates from other departments or hospitals, especially the prevention and control work in neonates with the hospital stay of more than 14 days and weighing 1 500 g or less to reduce the occurrence of multiple drug-resistant strains cross infection.
ObjectiveTo investigate the incidence of nosocomial infection in acute and serious schizophrenic inpatients and its risk factors.
MethodsBetween January 1st and December 31st, 2012, we investigated 1 621 schizophrenic patients on the status of nosocomial infections according to the hospital standard of nosocomial infection diagnosis. They were divided into infected group and uninfected group according to the survey results. The risk factors were analyzed by logistic regression method.
ResultsTwenty-nine infected patients were found among the 1 621 patients, and the incidence rate was 1.79%. Among the nosocomial infections, the most common one was respiratory infection (79.31%), followed by gastrointestinal infection and urinary infection (6.90%). There were significant differences between the two groups of patients in age, hospital stay, positive and negative syndrome scale (PASS), combined somatopathy, the time of protective constraint, modified electraconvulsive therapy (MECT), using two or more antipsychotics drugs, using antibiotics and side effects of drugs (P<0.05). However, there were no statistical differences in gender, age classes, the course of disease, frequency of hospitalization and seasonal incidence of hospital infection (P>0.05). The results of multivariate analysis showed that hospital stay, positive symptom score, negative symptom score, the time of protective constraint, MECT, using two or more antipsychotics drugs and side effects of drugs were the main risk factors for nosocomial infection of inpatients with psychopathy (P<0.05).
ConclusionBased on the different traits and treatments of acute and serious schizophrenia, a screening table of infections should be set. For the high risk group of nosocomial infection, effective measures should be taken to prevent and control the nosocomial infection of patients with schizophrenia.
Objective
To understand the effect of World Health Organization(WHO) multimodal hand hygiene improvement strategy on hand hygiene compliance among acupuncturists.
Methods
All the acupuncturists in departments (Department of Acupuncture, Department of Encephalopathy, Department of Orthopedics and Traumatology) with acupuncture programs in Xi’an Hospital of TCM were chosen in this study between September 2015 and August 2016. Based on the WHO multimodal hand hygiene improvement strategy, comprehensive measures were regulated among acupuncturists. Hand hygiene compliance and accuracy, and hand hygiene knowledge score were compared before and after the strategy intervention. Then, the effects of key strategies were evaluated.
Results
Overall hand hygiene compliance rate, accuracy and knowledge scores increased from 51.07%, 19.86% and 81.90±2.86 before intervention to 72.34%, 51.70%, and 98.62±2.92 after intervention (P<0.05). Hand hygiene compliance rates also increased in various occasions such as before contacting the patient, after contacting the patient, before acupuncture treatment, and before acupuncture needle manipulation (P<0.05).
Conclusion
Hand hygiene compliance in acupuncturists can be significantly improved by the implementation of WHO multimodal hand hygiene improvement strategy.
In order to identify the incidence of nosocomial pulmonary infection in surgical critical care patients in our hospital, we studied 800 patients discharged from surgical intensive care unit between May 1992 to Dec. 1994. One hundred and six episodes of pulmonary infection were found in 96 cases, in which 20 cases had been re-infected. The infection rate was 12.0%. The age of patients, APACHE- Ⅱ score and duration in ICU were closely related to the incidence of pulmonary infection. Tracheal intubation, tracheotomy and mechanical ventilation were the predisposing factors. The prevalent pathogens were pseudomonas aeruginosa, acinetobacter, staphylococcus aureus and candida albicans. 54.7% of cases were infected with more than one pathogens, and 36.8% of cases had fungal infection. The prevention and treatment are also discussed.
ObjectiveTo explore the effect of case-based learning combined with scenario exercise on nosocomial infection prevention and control training.MethodsClinical nursing students who entered the Department of Western & Traditional Chinese Medicine between September 2018 and November 2019 were selected. These students entered in groups. According to the entry number, the groups were divided into trial group and control group by odd or even numbers. The two groups of nursing students were trained by the infection prevention and control nursing group of the department to prevent nosocomial infection on the first day of entering the department. The trial group adopted case-based learning combined with scenario exercise, while the control group adopted traditional lecture-based learning. The two groups were compared by hand hygiene compliance rate, hand hygiene accuracy rate, clinical waste classification and disposal accuracy rate, occupational exposure, nosocomial infection prevention and control assessment scores, and teaching method satisfaction.ResultsA total of 63 nursing students from 10 groups were enrolled. There were 32 students from 5 groups in the control group and 31 students from 5 groups in the trial group. The hand hygiene compliance rate (χ2=8.434, P=0.004), clinical waste classification and disposal accuracy rate (χ2=4.196, P=0.041), nosocomial infection prevention and control assessment scores (t=3.145, P=0.003) and satisfaction scores of teaching methods (t=2.446, P=0.017) in the trial group were all higher than those in the control group. There was no occupational exposure in the trial group, but 1 case in the control group. The correct hand hygiene rates of the two groups were both 100%.ConclusionCase-based learning combined with scenario exercise can effectively improve the awareness of nosocomial infection prevention and control, improve the knowledge and skills of nosocomial infection prevention and control, improve the effectiveness of nosocomial infection prevention and control training, and increase the satisfaction of clinical teaching.
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.
