ObjectiveTo investigate the application value of noninvasive ventilation (NIV) performed in patients with unplanned extubation (UE) in intensive care unit (ICU).MethodsThis was a retrospective analysis. The clinical data, application of NIV, reintubation rate and prognosis of UE patients in the ICU of this hospital from January 2014 to December 2018 were reviewed, and the patients were assigned to the control group or the NIV group according to the application of NIV after UE. The data between the two groups were compared and the application effects of NIV in UE patients were evaluated.ResultsA total of 66 UE patients were enrolled in this study, including 44 males and 22 females and with an average age of (64.2±16.1) years. Out of them, 41 patients (62.1%) used nasal catheter or mask for oxygenation as the control group, 25 patients (37.9%) used NIV as the NIV group. The Acute Physiology andChronic Health EvaluationⅡ score of the control group and the NIV group were (18.6±7.7) vs. (14.8±6.3), P=0.043. The causes of respiratory failure in the control group and the NIV group were as follows: pneumonia 16 patients (39.0%) vs. 7 patients (28.0%), postoperative respiratory failure 7 patients (17.1%) vs. 8 patients (32.0%), chronic obstructive pulmonary disease 8 patients (19.5%) vs. 6 patients (24.0%), others 5 patients (12.2%) vs. 4 patients (16.0%), heart failure 3 patients (7.3%) vs. 0 patients (0%), nervous system diseases 2 (4.9%) vs. 0 patients (0%), which showed no significant difference between the two groups. Mechanical ventilation time before UE were (12.5±19.8) vs (12.7±15.2) d (P=0.966), PaO2 of the control group and the NIV group before UE was (114.9±37.4) vs. (114.4±46.3)mm Hg (P=0.964), and oxygenation index was (267.1±82.0) vs. (257.4±80.0)mm Hg (P=0.614). Reintubation rate was 65.9% in the control group and 24.0% in the NIV group (P=0.001). The duration of mechanical ventilation was (23.9±26.0) vs. (21.8±26.0)d (P=0.754), the length of stay in ICU was (34.4±36.6) vs. (28.5±25.8)d (P=0.48). The total mortality rate in this study was 19.7%. The mortality rate in the control group and NIV group were 22.0% and 16.0% (P=0.555).ConclusionPatients with UE in ICU may consider using NIV to avoid reintubation.
ObjectiveTo evaluate the effect of bundle strategies on the prevention and control of multidrug-resistant organisms (MDROs) in intensive care unit (ICU), in order to effectively prevent and control the severe situation of multiple drug-resistant bacteria in ICU.MethodsWe selected patients who admitted into the ICU from January 2016 to December 2017 as study subjects, and monitored 6 types of MDROs. Basic information was surveyed and collected from January to December 2016 (before intervention), while bundle strategies on MDROs were implemented from January to December 2017 (after intervention), including issusing isolation orders, hanging isolation marks, wearing isolation clothes, using medical articles exclusively, cleaning and disinfecting environment, implementing hand hygiene, etc. Then we compared the MDRO detection rate, nosocomial infection rate, MDRO nosocomial infection rate, and compliance rates of interventions between the two periods.ResultsThe MDRO detection rate before intervention was 77.10%, and that after intervention was 49.12%, the difference between the two periods was statistically significant (χ2=69.834, P<0.001). The nosocomial infection rate of ICU decreased from 23.51% before intervention to 15.23% after intervention, the MDRO nosocomial infection rate decreased from 13.70% before intervention to 5.84% after intervention, and the differences between the two periods were statistically significant (χ2=8.594, P=0.003; χ2=13.722, P<0.001). The compliance rates of doctor’s isolation orders, hanging isolation marks, wearing isolation clothes, using medical articles exclusively, cleaning and disinfecting environment, and hand hygiene, as well as the correct rate of hand hygiene after intervention (92.12%, 93.55%, 81.77%, 84.24%, 82.90%, 77.39%, and 96.37%) were significantly higher than those before intervention (31.94%, 52.00%, 23.43%, 48.18%, 67.16%, 59.46%, and 88.64%), and the differences were all statistically significant (P<0.001).ConclusionThe implementation of the above bundle strategies on the prevention and control of MDROs can decrease the MDRO detection rate and MDRO nosocomial infection rate.
ObjectiveTo observe the effect of bundle interventions on ventilator-associated pneumonia (VAP) in Intensive Care Unit (ICU). MethodsBaseline survey among the patients undergoing mechanical ventilation was conducted during June 2011 to August 2011. During September 2011 to May 2012, the rate of VAP was monitored every three months after taking bundle measures, which included oral care, elevation of the head of the bed, daily assessment of readiness to extubation, optimizing process of devices disinfection and hand hygiene. ResultsThrough carrying out the bundle interventions, the VAP rate decreased from 61.2‰ to 34.9‰ after six months and 22.7‰ after nine months, and the ventilator utilization ratio decreased from 26.5% to 24.6% after six months and 22.6% after nine months. The alcohol-based hand disinfectant dosage was increased from 32.6 mL to 58.8 mL and 54.4 mL for each patient bed in ICU. ConclusionThe bundle intervention has been proved to be effective. Measures such as staff education, bedside supervision and monitoring data feedback can help implement bundle interventions.
Objective To investigate the drug resistance and homogeneous analysis of Acinetobacter baumanii in emergency intensive care unit ( EICU) . Methods Four multidrug-resistant Acinetobacter baumannii ( MDR-Ab) strains isolated fromnosocomial inpatients fromJuly 25 to September 7 in 2009 were collected and tested for drug sensitivity and MIC determination as well. The A. baumannii isolates were typed with pulsed-field gel electrophoresis ( PFGE) to determine whether they derived fromthe same clone.Results Four isolates from nosocomial inpatients were resistant to multiple antibiotics including carbapenem. The PFGE types identified from four isolates were A and B. The A. baumannii isolates did not derived from the same clone. Conclusion The prevalence of nosocomial infection is not due to transmission of the same strains among different individuals in EICU.
Objective To evaluate the effect of active screening and intervention of multidrug-resistant organisms (MDROs) on control nosocomial infection in the general intensive care unit (ICU). Methods A non-concurrent control trial was conducted in patients hospitalized in the ICU for more than 24 hours in the Second Affiliated Hospital of Fujian Medical University. Patients underwent active screening of MDROs for nasal vestibular swab, throat swab and rectal swab combined with further intensive intervention for patients with positive screening result during Sept. 2014 to Aug. 2015 were included as an intervention group, patients only underwent active screening during Sept. 2013 to Aug. 2014 were included as a screening group, and patients without undergoing active screening during Sept. 2012 to Aug. 2013 were as a control group. SPSS 19.0 software was used to compare the hospital infection rate and the infection rate of MDROs among the three groups. Results A total of 1 773 patients were included, of which 655 patients were in the intervention group, 515 patients were in the screening group, and 603 patients were in the control group. The difference of hospital infection rates among the three groups was statistically significant (χ2=21.087, P < 0.001), and further pairwise comparison results showed that the intervention group was lower than the screening group (χ2=5.891, P=0.015), and the screening group was lower than the control group (χ2=4.259, P=0.039). The adjustment daily infection rate of the intervention group, screening group and control group were 6.69‰, 10.88‰, and 15.39‰, respectively. The difference of MDROs hospital infection rates among the three groups was statistically significant (χ2=21.039, P < 0.001), and further pairwise comparison results showed that the intervention group was lower than the screening group (χ2=5.936, P=0.015), and the screening group was lower than the control group (χ2=5.798, P=0.016). The MDROs thousand daily infection rate of the intervention group was lower than that of the screening group (3.90‰ vs. 7.30‰, χ2=5.999, P=0.014). Conclusion The active screening plus intensive intervention of MDROs can effectively reduce the incidence rates of nosocomial infections and MDROs infections in ICU.
ObjectiveTo analyze and discuss the importance of non-catheter-related hospital infection in intensive care unit (ICU). MethodA prospective target monitoring of all the patients in the general ICU was carried out from January 2011 to December 2013. The hospital infection cases grouped by infection types were analyzed with SPSS 17.0. ResultsA total of 5 364 patients were monitored, 455 of whom had hospital infections totaled 616 times. The hospital infection rate was 11.5%. The amount and constituent ratio of the catheter-related infections showed a declining trend year by year, while the non-catheter-related infections revealed an escalating trend year by year. In these 455 patients, the mixed infection group had the longest hospital stay, followed by the catheter-related infection group and the non-catheter-related infection group (P<0.05). The catheter-related infection group had higher crude mortality rate than both of the mixed infection group and the non-catheter-related infection group (P<0.017). ConclusionsNon-catheter-related infections which get higher and higher proportion in ICU hospital infections should be paid more attention to, while catheter-related infections which could prolong hospitalization and increase the risk of death in ICU patients, remain the focus of the target monitoring of hospital infection in ICU.
Objective To evaluate and summarize the relevant evidence of oxygenation strategies with tracheal intubation after extubation for adult in intensive care unit (ICU), and to provide evidence-based practice for the development of scientific and effective strategies tracheal intubation after extubation for ICU adult patients. Methods Evidence-based databases, related guideline websites, association websites and original databases were searched by computer for literature about oxygenation strategies with tracheal intubation after extubation for ICU adults patients was extracted. The retrieval time was from the establishment of the databases to May 2023. Two researchers trained in evidence-based practice evaluated the quality of the included literature and extracted evidence from the literature that met the quality evaluation criteria. Results A total of 18 articles were included, including 7 guidelines, 4 clinical decisions, 2 expert consensus, 4 systematic reviews and 1 randomized controlled trial. A total of 22 pieces of best evidence were formed, including 7 aspects of basic principles, evaluation, selection, parameter setting, withdrawal, effect evaluation and precautions. ConclusionThe medical staff should select the best evidence based on the actual clinical situation and the patient’s own needs, and adjust the oxygenation strategies to reduce the rate of tracheal intubation and improve the prognosis of patients.
Antimicrobial stewardship (AMS) is an important means to control bacterial resistance. The unique situation of intensive care unit (ICU) poses a challenge to AMS. This article reviews the literature on AMS in the ICU at home and abroad in recent years, and summarizes the related measures of AMS. Effective AMS measures in the ICU include setting up a multidisciplinary AMS team, using rapid microbial diagnosis technology to shorten the time of diagnosis, using non-culture methods to assess the necessity of antimicrobial therapy for patients with suspected sepsis, and evaluating the effectiveness of antimicrobial therapy as early as possible and optimizing it. These initiatives aim to increase the rational use of antimicrobials in ICU, reduce the risk of multidrug-resistant infections, and improve patients’ condition.
Objective To evaluate the clinical features and complications of bedside tracheal intubation in intensive care unit ( ICU) , and explore the suitable strategy of intubation. Methods In this retrospective study,42 patients who underwent bedside tracheal intubation in ICU during September 2008 and March 2009 were divided into a schedule group ( n =24) and an emergency group ( n =18) . The time to successful intubation, number of intubation attempts, and complications were recorded. The schedule group was defined as those with indications for intubation and fully prepared, while the emergency group was defined as those undergoing emergency intubations without full preparation due to rapid progression of disease and accidental extubation. Results The success rate for all patients was only 57. 1% on the first attempt ofintubation. The main complications during and after induction were hypotension ( 45. 2% ) and hypoxemia ( 50. 0% ) . Compared with the emergency group, the schedule group had fewer attempts to successful intubation ( 1. 71 ±1. 12 vs. 2. 67 ±1. 75) , higher success rate on the second attempt ( 87. 5% vs.61. 1%) , and lower ypoxemia incidence ( 29. 1% vs. 77. 8%, P lt; 0. 05) . Conclusions The tracheal intubation in ICU is a difficult and high risk procedure with obvious complications. Early recognition ofpatients with indications and well preparation are critical to successful bedside intubation.
ObjectiveTo systematically review the risk factors associated with sleep disorders in ICU patients.MethodsWe searched The Cochrane Library, PubMed, EMbase, Web of Science, CNKI, Wanfang Data, VIP and CBM databases to collect cohort studies, case-control studies and cross-sectional studies on the risk factors associated with sleep disorders in ICU patients from inception to October, 2018. Two reviewers independently screened literature, extracted data and evaluated the bias risk of included studies. Then, meta-analysis was performed by using RevMan 5.3 software.ResultsA total of 9 articles were included, with a total of 1 068 patients, including 12 risk factors. The results of meta-analysis showed that the combined effect of equipment noise (OR=0.42, 95%CI 0.26 to 0.68, P=0.000 4), patients’ talk (OR=0.53, 95%CI 0.42 to 0.66, P<0.000 01), patients’ noise (OR=0.39, 95%CI 0.21 to 0.74, P=0.004), light (OR=0.29, 95%CI 0.18 to 0.45, P<0.000 01), night treatment (OR=0.36, 95%CI 0.26 to 0.50, P<0.000 01), diseases and drug effects (OR=0.17,95%CI 0.08 to 0.36, P<0.000 01), pain (OR=0.37, 95%CI 0.17 to 0.82, P=0.01), comfort changes (OR=0.34,95%CI 0.17 to 0.67,P=0.002), anxiety (OR=0.31,95%CI 0.12 to 0.78, P=0.01), visit time (OR=0.72, 95%CI 0.53 to 0.98, P=0.04), economic burden (OR=0.63, 95%CI 0.48 to 0.82, P=0.000 5) were statistically significant risk factors for sleep disorders in ICU patients.ConclusionCurrent evidence shows that the risk factors for sleep disorders in ICU patients are environmental factors (talking voices of nurses, patient noise, and light), treatment factors (night treatment), disease factors (disease itself and drug effects, pain,) and psychological factors (visiting time, economic burden). Due to the limited quality and quantity of included studies, more high quality studies are needed to verify the above conclusions.