Objective To investigate the effect of a real-time compliance dashboard to help reduce ventilator-associated pneumonia ( VAP) with ventilator bundle. Methods 240 patients who were admitted into the intensive care unit ( ICU) of Shougang Hospital of Peking University and had received mechanical ventilation ( MV) for over 48 hours, between January 2010 and November 2011, were studied prospectively. The patients were divided into two groups by random number table, ie. a dashboard group ( n = 120) with implementation of a real-time compliance dashboard to help reduce VAP with ventilator bundle, and a control group ( n=120) with implementation of usually routine order to help reduce VAP with ventilator bundle. The success rate of ventilator bundle implementation, incidence of VAP, duration of MV, duration within ICU, mortality within 28 days, cost within ICU were compared between two groups. Results Compared with the control group, the success rate of ventilator bundle implementation obviously increased ( 81.6% vs. 52.5%) , incidence of VAP ( 14. 5/1000 days of MV vs. 36.2 /1000 days of MV) , duration of MV [ 5( 4,7) days vs. 8( 6,11) days] , duration within ICU [ 8( 6,12) days vs. 13( 8,16) days] , mortality of 28 days ( 12.6% vs. 28.6% ) , and cost within ICU ( 36,437 vs. 58,942) in the dashboard group obviously reduced ( Plt;0.05) . Conclusions Implementation of a real time compliance dashboard to help reduce VAP with ventilator bundle can obviously improve medical personnel compliance and reduce incidence of VAP, duration of MV, duration within ICU, mortality and cost in ICU than those of routine medical order to help reduce VAP with ventilator bundle.
Objective To establish a rabbit model of ventilator-induced lung injury. Methods Fourty healthy New Zealand rabbits were randomly divided into 3 groups: ie. a routine 8 mL/kg tidal volume group( VT8 group) , 25 mL/kg large tidal volume group( VT25 group) , and 40 mL/kg large tidal volume group( VT40 group) . VT25 and VT40 group were further divided into 2 hours and 4 hours ventilation subgroups. Arterial blood gas, lung mechanical force and hemodynamic parameters were monitored. Lungtissue was sampled for evaluate lung wet/dry ratio and lung injury by HE stain. Bronchoalveolar lavage fluid ( BALF) was collected for measurement of protein concentration, total and differential cell counts. Results Compared with VT8 group, lung injury score in both VT40 and VT25 groups were elevated significantly, ofwhich 4 hour VT40 subgroup was the highest. Lung pathology examination of VT40 group revealed apparent alveolar deformation, interstitial and alveolar space exudation, inflammatory cells infiltration, pulmonary consolidation and alveolar hemorrhage. Lung pathology examination of VT25 group showed pulmonary intervalthickening, inflammatory cells infiltration, while alveolar intravasation was mild. Blood gas analysis showed that PaO2 /FiO2 was deteriorated with time in VT25 and VT40 groups, and PaO2 /FiO2 at the 3 hours in VT40 group( lt; 300 mm Hg) had met the acute lung injury standard, while which in VVT25 group was above 300 mmHg. Lung wet/dry ratio, BALF protein concentration, total nucleated cell and neutrophilic leukocyte were elevated in both VT25 and VT40 groups, of which 4 hours VT40 group was the highest. Conclusion Using 4 hours ventilation at a tidal volume of 40 mL/kg can successfully establish the rabbit model of ventilator-induced lung injury.
Objective To evaluate the effect of auto adjusted triggering mechanism on the triggering balance of sensitivity and anti-interference in non invasive ventilator field. Methods Taking the breathing simulator as the experimental platform, for the same ventilator, the experiments of "automatic adjustment mode" and "manual adjustment mode" were carried out in a self-control manner, comparing the sensitivity and anti-interference indexes of the experimental group and the control group in the triggering stage. The results were statistically analyzed. Results In case of large air leakage, for ventilator of "A40", the group of "automatic adjustment mode" presented auto-triggered cycle and the group of "manual adjustment mode" (the inspiratory trigger sensitivity was adjusted to 5 to 9 L/min) could provide breathing assistance ventilation. While for ventilator of "VENT", both the group of "automatic adjustment mode" and the group of "manual adjustment mode" (the inspiratory trigger sensitivity was adjusted to 1 to 8 arbitrary unit) appear auto-triggered cycle. In case of medium air leakage, for ventilator of "A40", the trigger delay time, trigger pressure and trigger work of the "manual adjustment mode" group (the inspiratory trigger sensitivity was adjusted to 3 to 5 L/min) were significantly less than those of the "automatic adjustment mode" group, and the trigger delay time, trigger work of the "manual adjustment mode" group (the inspiratory trigger sensitivity was adjusted to 8 to 9 L/min) were significantly higher than those of the "automatic adjustment mode" group; While for ventilator of "VENT", compared with the inspiratory trigger sensitivity of the "automatic adjustment mode" group and the "manual adjustment mode" group (the inspiratory trigger sensitivity was adjusted to 4 arbitrary unit), the trigger delay time, trigger pressure and trigger work were not statistically significant. In case of small air leakage, for ventilator of "A40", the trigger delay time and trigger work of the "manual adjustment mode" group (the inspiratory trigger sensitivity was adjusted to 2 to 6 L/min) were significantly less than those in the "automatic adjustment mode" group, and the trigger pressure of "manual adjustment mode" group (the inspiratory trigger sensitivity was adjusted to 2 to 5 L/min and 7 L/min) was significantly lower than that of "automatic adjustment mode" group. While for ventilator of "VENT", the trigger delay time, trigger pressure and trigger work of the "manual adjustment" group (the inspiratory trigger sensitivity was adjusted to 1 to 2 arbitrary unit) were less than those of the experimental group, and they were statistically significant. Conclusions In case of large air leakage, ventilator of "VENT" can not provide breathing assistance ventilation no matter which inspiratory trigger mode. While ventilator of "A40" should be used the "manual adjustment mode", and adjust the inspiratory trigger sensitivity to the less sensitive arbitrary unit to increase its performance of anti-interference. In case of medium air leakage, for both ventilator of "A40" and ventilator of "VENT", it is better to use "automatic adjustment" mode for breathing assistance ventilation. In case of small air leakage, for both ventilator of "A40" and ventilator of "VENT", it is better to use "manual adjustment" mode for breathing assistance ventilation and we should adjust the inspiratory trigger sensitivity to the higher sensitive arbitrary without auto-triggered cycle.
Objective To analyze the clinical and etiological characteristics and bacterial susceptibility in patients with ventilator-associated pneumonia (VAP) in Guangzhou area.Methods A retrospective study was conducted on VAP patients in four hospital of Guangzhou from Jan 2004 to Oct 2005.Totally 157 patients were enrolled in this study，whose flora was identified and tested by Kirby Bauer disk diffusion susceptibility test.The univariate analysis method was used to analyze the prognostic parameters.Results The average onset time of VAP was 7.7 days after mechanical ventilation with a mortality rate of 38.2%.The proportion of Gram-negative bacilli，Gram-positive cocci and eumycete was 68.0%，23.4% and 8.7% respectively in 184 isolated strains.The most common pathogens were Pseudomonas aeruginosa (18.5%)，Stenotrophomonas maltophilia (14.1％)，Burkholderia cepacia (10.9%)，Staphylococcus aureus (10.3%) and Acinetobacter baumannii (8.7%).Pseudomonas aeruginosa，Stenotrophomonas maltophilia，and Acinetobacter baumannii were resistant to most common antibacterials such as cephalosporin and imipenem.18 strains oxacillin resistant Staphylococcus aureus，7 strains oxacillin resistant Staphylococcus simulans and one vancomycin resistant Staphylococcus aureus were isolated.Expect for vancomycin，teicoplanin and fusidic acid，the resistance of Gram-positive cocci were above 50% to other 9 antibacterials.Conclusions The antibiotic resistance situation of VAP in Guangzhou is very serious with high mortality.It is important to reinforce the prevention and guidance on the proper treatment of VAP.
ObjectiveTo analyze the influencing factors of ventilator-associated pneumonia (VAP) in comprehensive intensive care units (ICUs) in a certain district of Shanghai, and to provide evidence for developing targeted measures to prevent and reduce the occurrence of VAP.MethodsThe target surveillance data of 1 567 inpatients with mechanical ventilation over 48 hours in comprehensive ICUs of 5 hospitals in the district from January 2015 to December 2017 were retrospectively analyzed to determine whether VAP occurred. The data were analyzed with SPSS 21.0 software to describe the occurrence of VAP in patients and to screen the influencing factors of VAP.ResultsThere were 133 cases of VAP in the 1 567 patients, with the incidence of 8.49% and the daily incidence of 6.01‰; the incidence of VAP decreased year by year from 2015 to 2017 (χ2trend=11.111, P=0.001). The mortality rate was 12.78% in VAP patients while was 7.25% in non-VAP patients; the difference was significant (χ2=5.223, P=0.022). A total of 203 pathogenic bacteria were detected in patients with VAP, mainly Gram-negative bacteria (153 strains, accounting for 75.37%). The most common pathogen was Pseudomonas aeruginosa. The single factor analysis showed that gender, age, Acute Physiology and Chronic Health Evaluation (APACHE) Ⅱ score, the length of ICU stay, and the length of mechanical ventilation were the influencing factors of VAP (χ2=9.572, 5.237, 34.759, 48.558, 44.960, P<0.05). Multiple logistic regression analysis found that women [odds ratio (OR)=1.608, 95% confidence interval (CI) (1.104, 2.340), P=0.013], APACHE Ⅱ score >15 [OR=4.704, 95%CI (2.655, 8.335), P<0.001], the length of ICU stay >14 days [OR=2.012, 95%CI (1.188, 3.407), P=0.009], and the length of mechanical ventilation >7 days [OR=2.646, 95%CI (1.439, 4.863), P=0.002] were independent risk factors of VAP.ConclusionsNosocomial infection caused by mechanical ventilation in this area has a downward trend, and the mortality rate of patients with VAP is higher. For the patients treated with mechanical ventilation in ICU, we should actively treat the primary disease, shorten the length of ICU stay and the length of mechanical ventilation, and strictly control the indication of withdrawal, thereby reduce the occurrence of VAP.