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.
ObjectiveTo analyze the status quo, problems and weak points of cleaning compliance in the Intensive Care Unit (ICU), and assess the intervention effects by evaluating the object surface cleaning quality in the ICU. MethodsBetween September 1st and December 1st, 2014, fluorescence marker was used to mark the surfaces of medical instruments and objects in the ward which were supposed to be cleaned by the nursing and cleaning staff. The assessment of cleaning compliance was performed through observing the residual fluorescence. Then, targeted intervention was carried out for situations with a low cleaning compliance. ResultsBefore the intervention, the thorough cleaning rates of medical instruments in the Comprehensive ICU, Neurological ICU (NICU), and Chest ICU were respectively 43.3%, 31.4%, and 23.8%, and the thorough surface cleaning rates for those units in order were 67.1%, 60.5%, and 48.4%, respectively. After the first intervention, the cleaning rate of medical instruments in the Comprehensive ICU was 47.1%, which had no significant change (P=0.345), but the rate in the NICU and Chest ICU reached respectively 65.3% and 35.1%, which was significantly improved (P<0.05). The object surface cleaning rates were 73.3% and 58.1% in the Comprehensive ICU and Chest ICU after the first intervention, and there was no significant difference compared with those before the intervention (P>0.05), but the object surface cleaning rate in the NICU was significantly improved to 85.5% (P<0.05). After the second intervention, the medical equipment cleaning rates were 66.9%, 83.3%, and 57.4%, respectively for those three units, and compared with those before intervention, all the three were significantly improved (P<0.05). The object surface cleaning rates for NICU and Chest ICU were significantly raised to 85.6% and 84.2% (P<0.05), while it was 65.7% in the Comprehensive ICU and was not significantly improved (P=0.767). ConclusionObservation and supervision through a feedback system can raise the cleaning compliance, which is helpful in controlling and preventing nosocomial infection.
ObjectiveTo carry out targeted surveillance on ventilator-associated pneumonia (VAP) newly defined by the Centers for Disease Control and Prevention of the United States in 2013, and to understand its applicability and influence on the prognosis, and infection rate and risk factors of the disease. MethodsTargeted surveillance was carried out on all patients receiving mechanical ventilation in the general ICU of our hospital between January and December 2014. VAP infection rate was studied, and patients were divided into groups based on the development of the disease. SPSS 18.0 was used for statistical analysis of the prognostic indicators. ResultsA total of 885 patients received mechanical ventilation and were monitored, 31 of whom had VAP. The VAP case infection rate was 3.5% and its daily infection rate was 3.9‰. The results of multiple factors regression analysis showed that age (OR=1.025, P=0.025) and combining other types of hospital infection (OR=4.874, P<0.001) were independent risk factors for the development of VAP. VAP was the independent risk factor for both length of stay in the ICU and length of mechanical ventilation (P<0.001), but it was not the independent risk factor for mortality in the ICU (P=0.515). ConclusionThe applicability of the newly defined ventilator-associated pneumonia may be under restrictions in developing countries. It may influence the outcomes of patients by prolonging the length of stay in ICU and the length of mechanical ventilation.