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.
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.
ObjectiveTo learn the current situation and feature of nosocomial infection (NI), so as to provide reference for making the prevention measures. MethodsPrevalence rate of nosocomial infection in patients hospitalized on December 18, 2012 was investigated by the combination of bed-side examination and medical record checking. ResultsA total of 1 083 patients were surveyed, and the prevalence rate of nosocomial infection was 6.00%. Intensive Care Unit had the highest NI prevalence (28.57%), followed by Hematology Department (20.00%) and Neurosurgery Department (20.00%). Lower respiratory tract (38.46%) was the main infection site, followed by superficial surgical incision (13.85%). The usage rate of antimicrobial agents was 30.56%, and 40 strains of pathogens were isolated, in which Klebsiella pneumonia (15.0%), Pseudomonas aeruginosa (12.5%) and Escherichia coli (10.0%) were the main ones. ConclusionTarget monitoring management of key departments and key sites should be strengthened, and the management of antimicrobial agents should be stressed and invasive procedures should be decreased.
ObjectiveTo identify the risk factors of Intensive Care Unit (ICU) nosocomial infection in ICU ward in a first-class hospital in Wuxi, and discuss the effective control measures, in order to provide evidence for making strategies in preventing and controlling nosocomial infection. MethodsAccording to the principle of random sampling and with the use of case-control study, a sample of 100 nosocomial infection patients were selected randomly from January 2012 to December 2014 as survey group, and another 100 patients without nosocomial infection as control group. The data were input using EpiData 2.0, and SPSS 13.0 was used for statistical analysis; t-test and χ2 test were conducted, and the risk factors were analyzed using multi-variate logistic regression model. The significant level of P-value was 0.05. ResultsBased on the results of univariate analysis, there were 13 risk factors for ICU nosocomial infection, including diabetes mellitus, hypoproteinemia, being bedridden, surgical operation, immunosuppression, glucocorticoids, organ transplantation, tracheal intubation, length of hospitalization, length of mechanical ventilation, length of central venous catheter, length of urinary catheter, and length of nasogastric tube indwelling. Multi-variate logistic analysis indicated that hospitalization of 7 days or longer[OR=1.106, 95%CI (1.025, 1.096), P=0.001], diabetes mellitus[OR=2.770, 95%CI (1.068, 7.186), P=0.036], surgical operation[OR=7.524, 95%CI (2.352, 24.063), P=0.001], mechanical ventilation of 7 days or longer[OR=1.222, 95%CI (1.116, 1.339), P<0.001], and nasogastric tube indwelling of 7 days or longer[OR=1.110, 95%CI (1.035, 1.190), P=0.003] were considered as independent risk factors for ICU nosocomial infection. ConclusionHospitalization of 7 days or longer, diabetes mellitus, surgical operation, tracheal intubation of 7 days or longer, and gastric intubation of 7 days or longer are the major risk factors for nosocomial infection in ICU ward. Advanced intervention and comprehensive prevention measures are helpful to reduce the nosocomial infection rate and ensure the safety of medical treatment.
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.
ObjectiveTo compare the point prevalence of nosocomial infection in a comprehensive hospital between 2014 and 2015, and to put forward prevention and control measures so as to reduce the incidence of nosocomial infection. MethodsBy means of reviewing electronical medical records and beside investigation, the prevalence rates of nosocomial infection in patients hospitalized on June 4, 2014 and June 16, 2015 were investigated. Data were collected by a uniform questionnaire and analyzed by Excel 2007 and SPSS 18.0. ResultsThe nosocomial infection rates in those two time points were respectively 4.51% and 3.21% without a significant difference (χ2=2.246, P=0.134). Intensive Care Unit, Department of Neurosurgery and Department of Orthopedics were listed in the top five in terms of nosocomial infection rate for two consecutive years. The nosocomial infection sites were mainly lower respiratory tract, and a total of 64 strains were detected including mainly G? bacteria accounting for 76.6%. Antimicrobial agent usage covered 34.05% and 33.33% at those two time points. The purpose was mainly for therapy, and the pathogenic bacteria specimen detection rate was 68.06% and 59.73%, without statistically significant difference (χ2=0.114, 3.311; P>0.05). ConclusionThe prevalence of nosocomial infection in this hospital is at average national level but higher than the average level in Sichuan Province. Infection surveillance, prevention and control measures should be strengthened in key departments and key infection sites, and antimicrobial agent should be rationally used so as to reduce the incidence of nosocomial 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.
Shortly after Wenchuan earthquake, the department of nosocomial infection control initiated the emergency response plan immediately. Based on the conditions of the wounded delivered to the hospital, especial infection control plans were designed to prevent hospital acquired infections of multi-drug resistant bacteria and infectious disease spread in hospital. The infection control persons inspected the health care workers carried out the plans every day. Through enforced the rules of standard precautions, contact precautions and disinfection methods thoroughly, an effective and efficient medical rescue service has been offered to the wounded.
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.
Objective To investigate the prognostic factors and hospitalization cost in patients diagnosed as central line-associated bloodstream infection( CLABSI) in intensive care unit( ICU) .Methods A retrospective study was made to investigate the CLABSI epidemic data in ICU from June 2006 to June 2009. Clinical and physiological parameters were summarized and compared between these patients, which were divided into two groups based on the clinical outcome. Meanwhile, events including blood transfusion,mechanical ventilation, as well as cost of hospitalization were also reviewed. Logistic regression method was introduced to investigate the potential prognostic risk factors. Results There were 49 patients were diagnosed as nosocomial CLABSI, in which 19 cases( 38. 8% ) died in the hospital and 30( 61. 2% ) weresurvival. In univariate analysis, differences in body temperature, central venous pressure, acute physiology and chronic health evaluation( APACHEⅡ ) score, blood transfusion amount, pH value, D-dimer, blood serum alanine transarninase, blood urea nitrogen level, serumcreatinine, serumpotassiumbetween the survivors andthe non-survivors were significant( P lt;0. 05) . However, no significant differences were observed between the two groups in in-hospital days, ICU days and hospitalization cost ( all P gt; 0. 05) . With multiple logistic regressions, higher APACHEⅡ score( OR 0. 78; 95% confidence interval: 0. 66-0. 94; P = 0. 007) , APTTlevel( OR 0. 87; 95% confidence interval: 0. 77-0. 98; P = 0. 026) and serum potassium( OR 0. 09; 95% confidence interval: 0. 01-0. 80; P = 0. 031) were independent predictors of worse outcome. Conclusions Disease severity and coagulation situation may directly predict the prognosis of nosocomial CLABSI patients.But current investigation did not demonstrate significant differences in ICU length of stay and respective cost between the CLABSI patients with different prognosis.