ObjectiveTo observe the effect of different preoxygenation methods for emergency intubation in severe patients in intensive care unit (ICU). MethodsProspective randomized study was performed in the intensive care unit between June 2013 and January 2014. Forty patients were randomly divided into 4 groups:group A (control group, n=10), group B (bag-valve-mask preoxygenation group, n=10), group C (noninvasive ventilator-mask preoxygenation group, n=10), and group D (invasive ventilator-mask preoxygenation group, n=10). Standardized rapid sequence intubation was performed without preoxygenation in group A; preoxygenation was performed by using a bag-valve-mask rose pulse oxygen saturation (SpO2) to 90% before a rapid sequence intubation in group B; preoxygenation was performed by using noninvasive ventilator through a face mask rose SpO2 to 90% before a rapid sequence intubation in group C; and preoxygenation was performed by using invasive ventilator through a face mask rose SpO2 to 90% before a rapid sequence intubation in group D. We recorded the time when SpO2 was more than or equal to 90% in group B, C, and D, and arterial blood gases and complications were observed. ResultsThere was no significant difference in the basic indexes before preoxygenation among the four groups (P>0.05). The time of the patients in group D and C was significantly lower than that of group B. The arterial oxygen saturation (SaO2) and arterial oxygen partial pressure (PaO2) in the group C and D were higher than those in group B after preoxygenation (P<0.05). After intubation, SpO2 in group B, C and D was significantly higher than that in group A (P<0.05). At the same time, SpO2 in group C and D was higher than that in group B (P<0.05); PaO2 and SaO2 in group C and D were higher than in those in group A and B (P<0.05); SaO2 in group D was higher than that in group B (P<0.05). The incidence of abdominal distension in group D was significantly lower than that of group B and C (P<0.05). ConclusionFor emergency tracheal intubation in critically ill patients in the ICU, preoxygenation is more effective than the rapid sequence intubation without preoxygenation in improving oxygenation indicators. Invasive ventilator-mask preoxygenation efficacy and safety are superior to other methods.
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.
ObjectiveTo investigate the incidence and trendency of healthcare-associated infections (HAIs) in a pediatric intensive care unit (ICU) of a hospital, identify the main objectives of infection control, and formulate corresponding preventive and control measures.MethodsA prospective targeted monitoring method was adopted to investigate HAIs in the pediatric ICU of a hospital from January 2013 to December 2018.ResultsFrom January 2013 to December 2018, the number of target ICU patients was 11 898, the number of patient-days was 55 159; 226 HAIs occurred, the HAI case rate was 1.90%, the incidence of HAI per 1 000 patient-days was 4.10‰, and the adjusted incidence of HAI per 1 000 patient-days was 1.21‰. The main infection site was respiratory tract [83 cases (36.7%)], with ventilator-associated pneumonia in 73 cases (32.3%); secondly, 69 patients (30.5%) had bloodstream infection, among which 48 (21.2%) had non-catheter-related bloodstream infection.ConclusionHospital targeted monitoring is helpful to grasp the situation and trend of HAIs, define the main target of infection control, and formulate corresponding preventive and control measures, which can effectively reduce the incidence of HAIs.
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.
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.
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.
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 analyze the risk factors for the prolonged time of intensive care unit (ICU) stay after isolated heart valve replacement. MethodWe retrospectively analyzed the clinical data of 400 patients underwent heart valve replacement surgery in our hospital in 2013 year. There were 208 males and 192 females with a mean age of 50.5±11.1 years ranging from 11-85 years. We divided them into an A group with the time of ICU stay shorter than 48 hours and a B group with the time of ICU stay longer than 48 hours. We recorded the demographic characteristics, preoperative data, intraoperative data and postoperative data and analyzed those data with univariate and multivariate methods. ResultThere was a statictical difference in the demographic characteristics, preoperative data, intraoperative data and postoperative data between the 2 groups (P < 0.05). The logistic result showed that if we didn't consider the postoperative factors the prolonged time of ICU stay statistically related with age over 70 year(OR 2.024, 95%CI 1.182-3.466, P < 0.05), the cardiac grade of New York Heart Association at Ⅲ-Ⅳ(OR 3.295, 95% CI 1.030-10.544, P < 0.05), preoperative hemoglobin concentration less than 120 g/l (OR 0.500, 95%CI 0.263-0.950, P < 0.05), and the cardiopulmonary bypass time more than 180 min (OR 2.486, 95%CI 1.006-6.143, P < 0.05). If we considered the postoperitive factors, the prolonged time of ICU stay statistically linked to the cardiopulmonary bypass time longer than 180 min (OR 3.295, 95% CI 1.030-10.544, P < 0.05), the postoperative blood glucose more than 10 mmol/l (OR 2.954, 95%CI 1.334-6.543, P < 0.05), and the pulling out trachea canula 24 hours after operation (OR 6.742, 95% CI 3.005-15.124, P < 0.05). ConclusionThe prolonged time of ICU stay after valve replacement surgery is associated with a number of risk factors before, during and after heart valve replacement surgery. Targeting the risk factors, especially the postoperitive risk factors, can be effective to shorten the ICU residence time.
With the continuous development of critical care medicine, the survival rate of critical ill patients continues to increase. However, the residual dysfunction will have a far-reaching impact on the burden on patients, families, and health-care systems, and will significantly increase the demand of the follow-up rehabilitation treatment. Critical illness rehabilitation intervenes patients who are still in the intensive care unit (ICU). It can prevent complications, functional deterioration and dysfunction, improve functional activity and quality of life, shorten the time of mechanical ventilation, the length of ICU stay and hospital stay, and also reduce medical expenses. Experts at home and abroad believe that early rehabilitation of critical ill patients is safe and effective. So rehabilitation should be involved in critical ill patients as early as possible. However, the promotion of this model is still limited by the setting of safety parameters, the ICU culture, the lack of critical rehabilitation professionals, and the physiological and mental cognitive status of patients. Rehabilitation treatment in ICU is constantly being practiced at home and abroad.