Objective To compare the humidification effect of the MR410 humidification system and MR850 humidification system in the process of mechanical ventilation. Methods Sixty-nine patients underwent mechanical ventilation were recruited and randomly assigned to a MR850 group and a MR410 group. The temperature and relative humidity at sites where tracheal intubation or incision, the absolute humidity, the sticky degree of sputum in initial three days after admission were measured. Meanwhile the number of ventilator alarms related to sputum clogging and pipeline water, incidence of ventilator associated pneumonia, duration of mechanical ventilation, and mortality were recorded. Results In the MR850 group,the temperature of inhaled gas was ( 36. 97 ±1. 57) ℃, relative humidity was ( 98. 35 ±1. 32) % , absolute humidity was ( 43. 66 ±1. 15) mg H2O/L, which were more closer to the optimal inhaled gas for human body.The MR850 humidification system was superior to the MR410 humidification system with thinner airway secretions, less pipeline water, fewer ventilator alarms, and shorter duration of mechanical ventilation. There was no significant difference in mortality between two groups. Conclusions Compared with MR410 humidification system, MR850 humidification system is more able to provide better artificial airway humidification and better clinical effect.
The setting and adjustment of ventilator parameters need to rely on a large amount of clinical data and rich experience. This paper explored the problem of difficult decision-making of ventilator parameters due to the time-varying and sudden changes of clinical patient’s state, and proposed an expert knowledge-based strategies for ventilator parameter setting and stepless adaptive adjustment based on fuzzy control rule and neural network. Based on the method and the real-time physiological state of clinical patients, we generated a mechanical ventilation decision-making solution set with continuity and smoothness, and automatically provided explicit parameter adjustment suggestions to medical personnel. This method can solve the problems of low control precision and poor dynamic quality of the ventilator’s stepwise adjustment, handle multi-input control decision problems more rationally, and improve ventilation comfort for patients.
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 estimate the feasibility and efficacy of respiratory function score ( RFS)guided ventilator weaning in mechanical ventilated patients with respiratory failure. Methods By a prospective control study,136 patients with acute respiratory failure who had received endotracheal intubation and mechanical ventilation from January 2010 to May 2012 were randomly divided into three group, ie. a RFS-guided 3-4 group ( n=60) , a RFS-guided 5-6 group ( n = 51) , and a traditional group ( n =25) . TheRFS-guided groups underwent ventilator weaning by guidance of RFS 3-4 and 5-6 respectively. The traditional group underwent ventilator weaning by ordinary way. The ventilation and oxygenation index, RFS,direct weaning success rate, total weaning success rate, total mechanical ventilation time, re-intubation rate,and ventilator-associated pneumonia ( VAP) incidence rate were observed.Results The direct weaning success rate in the RFS-guided 3-4 group, the RFS-guided 5-6 group, and the traditional group was 98. 3%( 59/60) , 82. 4% ( 42 /51) , and 100% ( 25 /25) , respectively. The total duration of mechanical ventilation was ( 5. 2 ±2. 5) days, ( 5. 0 ±3. 0) days, and( 7. 5 ±3. 5) days, respectively. the re-intubation rate was 0( 0 /60) , 1. 9% ( 1 /51) , and 0 ( 0/25) , respectively. VAP incidence rate was 11. 7% ( 7/60) , 13. 7%( 7 /51) and 24% ( 6 /25) , respectively. Compared with the traditional group, the direct weaning success rate and total weaning success rate in the RFS-guided 3-4 group were not significant different( P gt;0. 05) , while the total mechanical ventilation time and VAP incidence rate were significantly lower ( P lt; 0. 05) . Compared with the traditional group, the direct weaning success rate and total mechanical ventilation time in the RFSguided 5-6 group were significantly lower ( P lt;0. 05) , but the total weaning success rate was not significantly different ( P gt;0. 05) . Compared with the RFS-guided 5-6 group, the directweaning success rate in the RFSguided 3-4 group was significantly increased. Conclusions Mechanical ventilator weaning of patients with respiratory failure under RFS guidance is safe and feasible. RFS 3-4 guided ventilator weaning can significantly improve the therapeutic effect.
ObjectiveTo investigate the prognostic value of high mobility group protein 1 (HMGB1) in patients with ventilator-associated pneumonia (VAP).
MethodsA total 118 VAP patients admitted between March 2013 and March 2015 were recruited in the study. The patients were divided into a death group and a survival group according to 28-day death. Baseline data, HMGB1, C-reactive protein (CRP), clinical pulmonary infection score (CPIS), acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) and sepsis-related organ failure assessment (SOFA) scores were collected on 1st day (d1), 4th day (d4), and 7th day (d7) after VAP diagnosis. The possible prognostic factors were analyzed by univariate and logistic multivariate analysis.
ResultsThere were 87 cases in the survival group and 31 cases in the death group. Age, female proportion, body mass index, HMGB1 (d1, d4, d7), APACHEⅡ (d1, d4, d7) and SOFA (d1, d4, d7) scores were all higher in the death group than those in the survival group (all P < 0.05). HMGB1 (d4, P=0.031), APACHEⅡ (d4, P=0.018), SOFA (d4, P=0.048), HMGB1(d7, P=0.087), APACHEⅡ(d7, P=0.073) and SOFA (d7, P=0.049) were closely correlated with 28-day mortality caused by VAP. Multivariate analysis revealed that HMGB1 (d4, HR=1.43, 95%CI 1.07 to 1.78, P=0.021), SOFA (d4, HR=1.15, 95%CI 1.06 to 1.21, P=0.019) and HMGB1 (d7, HR=1.27, 95%CI 1.18 to 1.40, P=0.003) were independent predictors of death in the VAP patients. ROC curve revealed HMGB1 (d4, d7) and SOFA (d4) with area under ROC curve of 0.951, 0.867 and 0.699.
ConclusionIndividual HMGB1 level can be used as a good predictor of the short-outcomes of VAP.
【Abstract】 Objective To analyze the risk factors for ventilator-associated pneumonia ( VAP) in respiratory intensive care unit ( RICU) , as well as the impact on mortality. Methods A retrospective cohort study was conducted in 105 patients who had received mechanical ventilation in RICUbetweenMay 2008 andJanuary 2010. The duration of intubation, vital signs, primary disease of respiratory failure and complications,blood biochemistry, blood routine tests, arterial blood gas analysis, APACHEⅡ score,medications, nutritional status, bronchoalveolar lavage ( BAL) , protected specimen brush ( PSB) quantitative culture, chest X-rayexamination were recorded and analyzed. Results The incidence rate of VAP was 32. 4% . Mortality in the VAP patients were significantly higher than those without VAP( 58. 8% vs. 28. 2% , P = 0. 007) . The duration of intubation, hypotension induced by intubation, cerebrovascular disease, and hypoalbuminemiawererisk factors for VAP in RICU. Conclusions Mortality of the patients with VAP increased obviously. The risk factors for VAP in RICU were the duration of intubation, hypotension after intubation, cerebrovascular disease, and hypoalbuminemia.
ObjectiveTo design a ventilator humidifier that can ensure water level and infuse fluid automatically, and evaluate its application effect in patients with mechanical ventilation.MethodsThirty-eight patients who received mechanical ventilation in ICU from March to June in 2019 were included. According to the order of admission, they were divided into a study group with 18 patients and a control group with 20 patients. Different ventilator humidifiers were used. The study group used self-designed ventilator humidifier, and the control group used the MR370 humidifier. The cases of sputum viscosity with Ⅲ degree after 48 hours’ mechanical ventilation, the times of fluid infusion and the total amount of fluid infusion were compared. The times of pouring out condensate water and the total amount of pouring out condensate water in 24 hours were also compared.ResultsThe times of infusing liquid in the study group in 24 hours was less than that in the control group (3.3±0.5 vs. 11.2±1.7, P<0.01), but the other indicators were not statistically significant between the two groups (all P>0.05).ConclusionsThe self-designed ventilator humidifier can be used for patients with mechanical ventilation, which can keep the water level at the water line all the time and is beneficial to humidification treatment. It can reduce the times of fluid infusion and nurses' workload.
ObjectiveTo systematically review the effect of selective oropharyngeal decontamination (SOD) on the prevention of ventilator-associated pneumonia (VAP).
MethodsWe electronically searched PubMed, EMbase, CBM, Wanfang, CNKI and Cochrane Central Register of Controlled Trials from the date of its establishment to September 2013. We also hand-searched some relevant references of included studies. Two independent reviewers screened the studies for inclusion, extracted data, and assessed trial quality. Meta-analysis was performed using the Cochrane Collaboration's RevMan 5.1 software.
ResultsTen randomized controlled trials involving 2 791 patients were included. Results of meta-analysis showed that, compared with control group, SOD could reduce the incidence of VAP[RR=0.53, 95% CI (0.43, 0.65), P<0.000 01]. No statistical differences between the two groups were found for all cause mortality, average duration of receiving mechanical ventilatory assistance or length of stay in intensive care unit. No severe adverse event related to study participation was identified.
ConclusionSOD can reduce the occurrence of VAP effectively and safely. Consequently, it may be considered as a good choice in the prevention of VAP.
ObjectiveTo observe the effect of target monitoring on the patients with ventilator-associated pneumonia (VAP) in intensive care unit (ICU), analyze the risk factors and take effective measures to reduce the VAP occurrence.
MethodsTarget monitoring was performed on patients with ventilator in ICU from January to July 2013 (observation group), and they were compared with those patients accepting general comprehensive monitoring in ICU from January to July 2012 (control group). The incidence of VAP was compared between the two groups.
ResultsThe incidence of VAP in the observation group and the control group was 21.73‰ and 53.33‰, respectively. There was a significant difference between the observation group and the control group (P<0.05).
ConclusionFor patients undergoing mechanical ventilation, target monitoring can control the risk factors and incidence of VAP, adjust the interference in time, and improve the curing rate.
