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.
Objective To evaluate the sedative and analgesic efficacy and adverse effect of dexmedetomidine versus propofol on the postoperative patients in intensive care unit (ICU). Methods The relevant randomized controlled trials (RCTs) were searched in The Cochrane Library, MEDLINE, PubMed, SCI, SpringerLinker, ScinceDirect, CNKI, VIP, WanFang Data and CBM from the date of their establishment to November 2011. The quality of the included studies was evaluated after the data were extracted by two reviewers independently, and then the meta-analysis was performed by using RevMan 5.1. Results Ten RCTs involoving 793 cases were included. The qualitative analysis results showed: within a certain range of dosage as dexmedetomidine: 0.2-2.5 μg/(kg·h), and propofol: 0.8-4 mg/(kg·h), dexmedetomidine was similar to propofol in sedative effect, but dexmedetomidine group needed smaller dosage of supplemental analgesics during the period of sedative therapy. The results of meta-analysis showed: the percentage of patients needing supplemental analgesics in dexmedetomidine group was less than that in propofol group during the period of sedative therapy (OR=0.24, 95%CI 0.08 to 0.68, P=0.008). Compared with the propofol group, the duration of ICU stay was significantly shorter in the dexmedetomidine group (WMD= –1.10, 95%CI –1.88 to –0.32, P=0.006), but the mechanical ventilated time was comparable between the two groups (WMD=0.89, 95%CI –1.15 to 2.93, P=0.39); the incidence of adverse effects had no significant difference between two groups (bradycardia: OR=3.57, 95%CI 0.86 to 14.75, P=0.08; hypotension: OR=1.00, 95%CI 0.30 to 3.32, P=1.00); respiratory depression seemed to be more frequently in propofol group, which however needed further study. Mortalities were similar in both groups after the sedative therapy (OR=1.03, 95%CI 0.54 to 1.99, P=0.92). Conclusion Within an exact range of dosage, dexmedetomidine is comparable with propofol in sedative effect. Besides, it has analgesic effect, fewer adverse effects and fewer occurrences of respiratory depression, and it can save the extra dosage of analgesics and shorten ICU stay. Still, more larger-sample, multi-center RCTs are needed to provide more evidence to support this outcome.
Objective To investigate the prognostic factors and hospitalization cost in patients diagnosed as central line-associated bloodstream infection( CLABSI) in intensive care unit( ICU) .Methods A retrospective study was made to investigate the CLABSI epidemic data in ICU from June 2006 to June 2009. Clinical and physiological parameters were summarized and compared between these patients, which were divided into two groups based on the clinical outcome. Meanwhile, events including blood transfusion,mechanical ventilation, as well as cost of hospitalization were also reviewed. Logistic regression method was introduced to investigate the potential prognostic risk factors. Results There were 49 patients were diagnosed as nosocomial CLABSI, in which 19 cases( 38. 8% ) died in the hospital and 30( 61. 2% ) weresurvival. In univariate analysis, differences in body temperature, central venous pressure, acute physiology and chronic health evaluation( APACHEⅡ ) score, blood transfusion amount, pH value, D-dimer, blood serum alanine transarninase, blood urea nitrogen level, serumcreatinine, serumpotassiumbetween the survivors andthe non-survivors were significant( P lt;0. 05) . However, no significant differences were observed between the two groups in in-hospital days, ICU days and hospitalization cost ( all P gt; 0. 05) . With multiple logistic regressions, higher APACHEⅡ score( OR 0. 78; 95% confidence interval: 0. 66-0. 94; P = 0. 007) , APTTlevel( OR 0. 87; 95% confidence interval: 0. 77-0. 98; P = 0. 026) and serum potassium( OR 0. 09; 95% confidence interval: 0. 01-0. 80; P = 0. 031) were independent predictors of worse outcome. Conclusions Disease severity and coagulation situation may directly predict the prognosis of nosocomial CLABSI patients.But current investigation did not demonstrate significant differences in ICU length of stay and respective cost between the CLABSI patients with different prognosis.
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 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.
Objective To investigate the characteristics of ventilator associated pneumonia (VAP)caused by Stenotrophomonas maltophilia(Sm)in ICU。Methods The clinical data of 39 patients with VAP caused by Sm，from Jan 2001 to Dec 2006，were retrospectively investigated．Results In 15 kinds of antibiotics sensitivity test，all cases showed 100％ resistance to 12 kinds of antibiotics except sulfamethoxazole／trimethoprim。ticarcillin／clavulanic acid and ciprofloxacin with sensitivity rate of 46．2％ ， 30．8％ and 12．8％ ．respectively．92．30％ of Sm VAP were CO—infected with other microorganisms and 79．5％ of VAP were late-onset．The use of broad-spectrum antibiotics．especially carbapenem．and prolonged mechanical ventilation more than 7 days were risk factors for Sm VAP．Morbidity of Sm VAP was 87．2％ ．Conclusions Sm VAP has an important role in ICU infections with high morbidity and CO-infection rate．It should be alerted to the possibility of Sm VAP in the case of when prolonged ventilation (gt;7 days)or carbapenem is used．
Objective To analyze risk factors for prolonged stay in intensive care unit (ICU) after cardiac valvular surgery. Methods Between January 2005 and May 2005, five hundred and seven consecutive patients undergone cardiac valvular surgery were divided into two groups based on if their length of ICU stay more than 5 days (prolonged stay in ICU was defined as 5 days or more). Group Ⅰ: 75 patients required prolonged ICU stay. Group Ⅱ: 432 patients did not require prolonged ICU stay. Univariate and multivariate analysis (logistic regression) were used to identify the risk factors. Results Seventyfive patients required prolonged ICU stay. Univariate risk factors showed that age, the proportion of previous heart surgery, smoking history and repeat cardiopulmonary bypass (CPB) support, cardiothoracicratio, the CPB time and aortic crossclamping time of group Ⅰ were higher or longer than those of group Ⅱ. The heart function, left ventricular ejection fraction (LVEF), pulmonary function of group Ⅰwere worse than those of group Ⅱ(Plt;0.05, 0.01). Logistic regression identified that preoperative age≥65 years (OR=4.399), LVEF≤0.50(OR=2.788),cardiothoracic ratio≥0.68(OR=2.411), maximal voluntary ventilation observed value/predicted value %lt;71%(OR=4.872), previous heart surgery (OR=3.241) and repeat CPB support during surgery (OR=18.656) were final risk factors for prolonged ICU stay. Conclusion Prolonged ICU stay after cardiac valvular surgery can be predicted through age, LVEF, cardiothoracic ratio, maximal voluntary ventilation, previous heart surgery and repeat CPB support during surgery. The patients with these risk factors need more preoperative care and postoperative care to reduce mortality, morbidity and avoid prolonged ICU stay after cardiac valvular surgery.
ObjectiveTo carry out targeted surveillance on ventilator-associated pneumonia (VAP) newly defined by the Centers for Disease Control and Prevention of the United States in 2013, and to understand its applicability and influence on the prognosis, and infection rate and risk factors of the disease. MethodsTargeted surveillance was carried out on all patients receiving mechanical ventilation in the general ICU of our hospital between January and December 2014. VAP infection rate was studied, and patients were divided into groups based on the development of the disease. SPSS 18.0 was used for statistical analysis of the prognostic indicators. ResultsA total of 885 patients received mechanical ventilation and were monitored, 31 of whom had VAP. The VAP case infection rate was 3.5% and its daily infection rate was 3.9‰. The results of multiple factors regression analysis showed that age (OR=1.025, P=0.025) and combining other types of hospital infection (OR=4.874, P<0.001) were independent risk factors for the development of VAP. VAP was the independent risk factor for both length of stay in the ICU and length of mechanical ventilation (P<0.001), but it was not the independent risk factor for mortality in the ICU (P=0.515). ConclusionThe applicability of the newly defined ventilator-associated pneumonia may be under restrictions in developing countries. It may influence the outcomes of patients by prolonging the length of stay in ICU and the length of mechanical ventilation.
Objective To analyze the risk factors for postoperative cognitive confusion in a surgical intensive care unit. Methods A total of 388 consecutive patients in Surgical Intensive Care Unit of General Hospital of PLA were retrospectively studied. We posed clinical questions according to the patients with older age and large dosage corticosteroid. Using “Postoperative cognitive confusion” and“Intensive Care” as key words, we searched for evidence from MEDLINE (1968-2004). Results We found 3.1% (10/388) of the patients developed postoperative cognitive confusion. Of the 10 postoperative cognitive confusion patients, 9 were over 65 years old. 6.6% (9/136) of the patients (≥ 65 years old) developed postoperative cognitive confusion. While 0.4%(1/252) of the patients (＜65 years old) developed postoperative cognitive confusion. Older age (≥ 65 years old) may induce more postoperative cognitive confusion (P＜0.05). While 7.0% (5/71) of the patients treated by large dose corticosteroids (≥1 000 mg) developed postoperative cognitive confusion. And 1.65% (5/317) of the patients received corticosteroid with large dosage (＜1 000 mg) developed postoperative cognitive confusion. Large dosage corticosteroid (≥1 000 mg) may induce more postoperative cognitive confusion (P＜0.05). Conclusion Older age (≥ 65 years old) and high dose corticosteroid (≥1 000 mg) may be the two main risk factors for postoperative cognitive confusion.