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.
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.
Objective To evaluate systematically the effectiveness and safety of procalcitonin ( PCT) -guided therapy in comparison with standard therapy in patients with suspected or confirmed severe bacterial infections in intensive care unit ( ICU) . Methods Five randomized controlled trials ( 927 patients) were included for statistical analysis by the cochrane collaboration′s RevMan5. 0 software. Results PCT-guided therapy was associated with a significant reduction in duration of antibiotic therapy [ MD =- 2. 01, 95% CI ( - 2. 37, - 1. 64) , P lt;0. 00001] , but the mortality [ OR =1. 11, 95% CI ( 0. 83, 1. 49) ,P =0. 47] and length of ICU stay[ MD = 0. 49, 95% CI( - 1. 44, 2. 42) , P = 0. 62] were not significantly different. Conclusions An algorithmbased on serial PCT measurements would allow a more judicious use of antibiotics than currently traditional treatment of patients with severe infections in ICU. It can reduce the use of antibiotics and appears to be safe.
Objective To investigate the species distribution and antibiotic resistance among the bloodstream infections in intensive care unit ( ICU) . Methods A retrospective analysis was performed to review the microbiological and susceptibility test data of all bloodstream infections in ICU from January 2004 to September 2009. The patterns of antibiotic resistance among the top five bacteria were compared. Results 89 cases of bloodstream infection were detected with 112 strains, including 55 Gram-positive ( G+ ) bacteria( 49. 1% ) , 55 Gram-negative ( G- ) bacteria ( 49. 1% ) , and 2 fungi ( 1. 8% ) . The main pathogens causing bloodstream infection were Burkholderia spp. ( 33, 29. 5% ) , S. epidermidis( 31, 27. 7% ) , Klebsiella pneumoniae ( 7, 6. 3% ) , S. aureus ( 7, 6. 3% ) , S. hominis ( 6, 5. 4% ) , Acinetobacter baumannii ( 6,5. 4% ) , Pseudomonas aeruginosa( 5, 4. 5% ) and S. haemolyticus( 5, 4. 5%) , suggesting that Burkholderia spp. was predominant pathogenic G- bacteria, and coagulase-negative staphylococcus was predominant G+ bacteria. The antibiotic resistance tests demonstrated that isolated G- bacillus was highly sensitive to carbopenem, while vancomycin-resistant G+ cocci were not found. Conclusions Within the latest 5 years,the prevalence of G+ bacteria infection is almost equivalent to G- bacteria in blood stream infection.Coagulase-negative staphylococcus is the mainly G+ bacteria and Burkholderia spp. is predominant in G- bacteria. Carbopenemand glycopeptides still remain to be the first choice.
侵袭性真菌感染(IFI)不仅可发生在恶性血液病、恶性肿瘤、器官移植和AIDS等经典免疫功能缺陷患者中，近年来ICU的重症患者由于严重的基础疾病、外科手术指征和范围的扩大、各种导管的体内介入与留置，以及广谱抗生素和糖皮质激素的广泛应用等，IFI发病率也迅速增加。据统计，IFI占医院获得性感染的8％-15％。IFI病情进展快速、凶险，已13益成为导致ICU危重病患者死亡的重要原因之一。引起ICU IFI的病原体包括念珠菌、曲霉、隐球菌、镰刀霉、接合菌、肺孢子菌等，其中以念珠菌和曲霉最多见，占90％ 以上。由于ICU危重症患者多数属非经典IFI高危人群，临床表现缺乏特异性，临床诊治极为困难。本文就ICU内侵袭性念珠菌感染(Ic)和侵袭性曲霉感染(IA)的流行病学、诊断和治疗进展进行阐述，以期对临床有所裨益。
Objective To investigate the species distribution and antibiotic resistance of pathogens fromcatheter-related bloodstream infections ( CRBSI) in intensive care unit( ICU) , to provide evidence for the guidance of clinical rational administration.Methods A retrospective analysis was performed to review the microbiological and susceptibility test data of all CRBSI patients in ICU from January 2009 to December 2011. The patterns of antibiotic resistance among the top seven bacteria were compared. Results 67 cases of CRBSI were detected with 81 strains, including 40 Gram-positive ( G+ ) bacteria( 49.4% ) , 38 Gram-negative( G- ) bacteria ( 46.9% ) , and 3 fungi ( 3.7% ) . The main pathogens causing CRBSI were coagulase negative Staphylococci ( 27 strains, 33.3%) , Acinetobacter baumannii ( 12 strains, 14.8% ) , Klebsiella pneumoniae( 9 strains, 11. 1% ) , Staphylococcus aureus ( 8 strains, 9. 9% ) , Pseudomonas aeruginosa ( 7 strains, 8. 6% ) , Escherichia coli ( 6 strains, 7.4% ) , suggesting that Staphylococcus epidermidis was predominant pathogenic G+ bacteria, and Acinetobacter baumannii was predominant G- bacteria. The antibiotic resistance tests demonstrated that isolated G- bacillus was highly sensitive to carbopenem, while vancomycin-resistant G+ bacteria were not found. Conclusions Within the latest 3 years, the predominant pathogens of CRBSI in ICU are Staphylococcus epidermidis and Acinetobacter baumannii. Acinetobacter baumannii exhibited high drug resistance to all antibiotics.
Objective To investigate the clinical features, etiology and treatment strategies of patients with delirium in emergency intensive care unit ( EICU) . Methods Patients with delirium during hospitalization between January 2010 and January 2012 were recruited from respiratory group of EICU of Beijing Anzhen Hospital. Over the same period, same amount of patients without delirium were randomly collected as control. The clinical datawere retrospectively analyzed and compared. Results The incidence of delirium was 7.5% ( 42/563) . All delirium patients had more than three kinds of diseases including lung infections, hypertension, coronary heart disease, respiratory failure, heart failure, renal failure, hyponatremia, etc. 50% of delirium patients received mechanical ventilation ( invasive/noninvasive) . The mortality of both the delirium patients and the control patients was 11.9% ( 5 /42) . However, the patients with delirium exhibited longer hospital stay [ 14(11) d vs. 12(11) d, P gt;0. 05] and higher hospitalization cost [ 28, 389 ( 58,999) vs. 19, 373( 21, 457) , P lt;0.05] when compared with the control group. 52.4% ( 22/42) of delirium patients were associated with primary disease. 9. 5% ( 4/42) were associated with medication. 38. 1% (16/42) were associated with ICU environment and other factors. Conclusions Our data suggest that the causes of delirium in ICU are complex. Comprehensive treatment such as removal of the relevant aggravating factors, treating underlying diseases, enhancing patient communication, and providing counseling can shorten their hospital stay, reduce hospitalization costs, and promote rehabilitation.
ObjectiveTo explore the applicability of early goal-directed sedation (EGDS) in intensive care unit (ICU) patients with mechanical ventilation.MethodsAn prospective double blind study was conducted. ICU patients with mechanical ventilation in the First Affiliated Hospital of Jinzhou Medical University were recruited as research objects by chester sampling from September 2015 to September 2017, and divided into an experimental group and a control group by stratified randomization. Two groups were sedated on the basis of adequate analgesia. The experimental group adopted the EGDS strategy that dexmedetomidin was the first choice to be infused at the rate of 1 μg·kg–1·h–1. And the patients were given Richmond agitation-sedation score (RASS) on the interval of 4 hours: used additionally propofol and midazolam if RASS>2, or reduced right metomomidin at the speed of 0.2 μg·kg–1·h–1 per 30 min if RASS<–3, and stopped sedation until RASS of –2 to 0. The control group adopted routine sedation strategy that propofol was the first choice to be infused and combined with dexmedetomidine and midazolam until RASS score in –2 to –3. The doses of sedative drugs, mechanical ventilation time, ICU-stayed time, total hospitalization time and the incidence of adverse events such as delirium, accidental extubation, and ICU death were compared between two groups.ResultsSixty-sis cases were selected in the experimental group and 71 in the control group. The baseline data such as gender, age, acute physiology chronic health evaluation Ⅱ (APACHEⅡ), or basic diseases in two groups had no significant differences. Compared with the control group, the per capita total doses of dexmedetomidine, propofol and midazolam in the experimental group were significantly less [right metopromicine (μg): 154.45±27.86 vs. 378.85±39.76; propofol (mg): 4 490.03±479.88 vs. 7 349.76±814.31; midazolam (mg): 255.38±46.24 vs. 562.79±97.26; all P<0.01], mechanical ventilation time, ICU-stayed time, total hospitalization time were significantly lower [mechanical ventilation time (d): 7.7±3.3vs. 11.7±3.6; ICU-stayed time (d): 10.2±3.9 vs. 19.2±4.1, total hospitalization time (d): 29.9±4.6 vs. 50.4±9.1; all P<0.01]. The Kaplan-Meier survival curves showed that the incidence of delirium in the experimental group was significantly lower than that in the control group (log-rankχ2=5.481, P<0.05). The accidental extubation rate and accidental fatality rate in two groups had no significant differences (log-rankχ2=0.078, 0.999, P>0.05).ConclusionEGDS can not only reduce the dose of sedative drugs, shorten the mechanical ventilation time, the ICU-stayed time and the total hospitalization time, but also reduce the incidence of delirium, so it has a positive impact in ICU patients with mechanical ventilation.