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.
Objective To analyze the species distribution and resistance of the pathogens isolated fromblood cultures of the patients in intensive care unit ( ICU) , and provide a basis for prevention and control of bloodstream infections in critically ill patients. Methods The data of blood cultures of the patients in ICUduring January 2009 to December 2011 was investigated retrospectively.Results In the last 3 years, positive rate of blood cultures of ICU patients was 15. 4% , 15. 7% , and 17. 6% respectively. Among the isolates, Gram-positive bacteria were predominant ( 52. 3% ) , followed in order by gram-negative bacteria ( 33. 1% ) and fungi ( 14. 7% ) . Aerobe and facultative anaerobe were the predominant bacterial isolates ( 99. 7% ) . Enterococcus faeciumand Staphylococcus spp. were the most common gram-positive bacteria, and 4. 5% of E. faecium isolates were resistant to vancomycin. Rate of methicillin-resistance for S. aureus and S. epidermidis was 73. 5% and 93. 7% respectively. In terms of gram-negative bacteria, Acinetobacter calcoaceticus- A. baumannii complex were the leading species, 96. 9% of the isolates had multi-drug resistance and 14. 1% of the isolates had extra-drug resistance. Klebsiella pneumonia and Escherichia coli isolates were less frequently isolated and those producing extended spectrum beta-lactamases accou ted for 70. 3% and 80. 0% of the isolates respectively. Candida spp. was the most common fungi isolates ( 96. 7% )with an annual change of species distribution and declining susceptibility to azoles.Conclusions Gram-positive bacteria should be the major target for prevention and control of bloodstream infections in critically ill patients. Whereas, more attention should be paid to the infection caused by candida spp. and multidrug resistant gram-negative bacteria.
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.
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 postoperative treatment of pleuropneumonectomy for tuberculosis destroyed lung in ICU, in order to improve the therapeutical efficacy for these patients. Methods Clinical data of 52 patients who suffered from tuberculosis destroyed lung and underwent pleuropneumonectomy from June 2008 to June 2010 were analyzed retrospectively. All of subjects received routine treatment in ICU after the operation. Meanwhile，appropriate targeting treatments were applied including diagnosis and treatment of postoperative bleeding; application of fiberbronchoscope to aspirate the sputum after the operation,sequential non-invasive ventilation after the invasive ventilation for acute respiratory failure after operation ,etc.Results A total of 52 patients received the pleuropneumonectomy operation. Bleeding occurred in 11 cases after operation and stopped after the integrated therapy. 8 patients suffered from acute respiratory failure and attenuated after sequential ventilation. No patients died for postoperative bleeding or acute respiratory failure. Conclusions Patients who suffered from tuberculosis destroyed lung and received pleuropneumonectomy with postoperative bleeding and acute respiratory failure have a good prognosis after appropriate postoperative treatment in ICU.
Objective To identify the predictors of prolonged stay in the intensive care unit (ICU) in patients undergoing surgery for acute aortic dissection type A. Methods We retrospectively analyzed the clinical data of 80 patients who underwent surgery for acute aortic dissection type A in Qingdao Municipal Hospital from December 2009 through December 2013. The mean age of the patients was 48.9±12.5 years, including 54 males (67.5%) and 26 females (32.5%). The patients were divided into two groups based on their stay time in the ICU. Prolonged length of ICU stay was defined as 5 days or longer time in the ICU postoperatively. There were 67 patients with length of ICU stay shorter than 5 days, 13 patients with length of ICU stay 5 days or longer time. Univariate and multivariate analysis (logistic regression) were used to identify the predictive risk factors. Results The length of ICU stay was 63.2±17.4 hours and 206.9±25.4 hours separately. Overall in-hospital mortality was 3.0% and 15.4% respectively in the two groups. In univariate analyses, there were statistically significant differences with respect to the age, the European system for cardiac operative risk evaluation (EuroSCORE), the preoperative D-dimmer level, total cardiopulmonary bypass (CPB) time, deep hypothermic circulatory arrest (DHCA), inotropes and occurrence of postoperative stroke, acute renal failure and acute respiratory failure, ICU stay duration and hospital stay duration between the patients with length of ICU stay shorter than 5 days and longer than 5 days. Multivariate logistic analysis showed that CPB time, occurrence of postoperative stroke, acute renal failure, or acute respiratory failure were independent predictors for prolonged ICU stay. Conclusion The incidence of prolonged ICU stay is high after surgery for acute aortic dissection type A. It can be predicted by CPB time, occurrence of postoperative stroke, acute renal failure, and acute respiratory failure were independent predictors for prolonged ICU stay. For patients with these risk factors, more perioperative care strategies are needed in order to shorten the ICU stay time.
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 survey the current situation of post-intensive care syndrome (PICS) among patients in respiratory intensive careunit (RICU), and explore the effect factors of PICS.MethodsBy convenience sampling, 125 patients in the RICU of Peking University First Hospital were recruited in the study. The patients were tested for PICS using Mini-mental State Examination (MMSE), Confusion Assessment Method for the ICU (CAM-ICU), Hospital Anxiety and Depression Scale (HADS), Medical Research Council (MRC), Activities of Daily Living (ADL), Pittsburg Sleep Quality Index (PSQI), Fatigue Scale-14 (FS-14), including three aspects of cognition, psychology and physiology. The effect factors of PICS were measured through researcher-created Questionnaire on Patients’ General Information and Questionnaire on Disease-Related Information.ResultsIn this study, the actual effective sample size was 110 cases, among which 59 cases developed PICS, with an incidence of 53.6%. Logistic regression showed that effect factors of PICS were age, invasive mechanical ventilation time, noninvasive ventilator assisted ventilation time and coronary atherosclerotic heart disease (P< 0.05).ConclusionsThe incidence of PICS in RICU patients is 53.6%, which is at a high level. Advanced age, long duration of invasive mechanical ventilation, long duration of non-invasive ventilator assisted ventilation, and coronary atherosclerotic heart disease are the risk factors of PICS. Medical and nursing staff should pay more attention to PICS, intervene in the risk factors of the patient, and take targeted measures to prevent the occurrence of PICS.
Objective To explore the type and frequency of oral care practice in intensive care units (ICUs) in Mainland China, and to provide evidence and suggestions for improving oral care practice. Methods Three survey methods, including mailing questionnaires to ICUs of Grade 3A hospitals, consulting experts in this field and visiting accessible ICUs, were used to survey current oral care practice in Mainland China. Results A total of 184 questionnaires were given to the subjects, of which 79 effective ones were collected, and the response rate was 42.93%. All 79 respondents considered oral care very unimportant, and 98.7% of the ICUs performed oral care in different ways. Currently, the cotton ball wipe-off method was the most frequently used for oral care (62.5%), with an average (9.1± 5.1) min per time, twice or three times daily. The mouthwashes often used were saline (76.1%), solutions containing sodium bicarbonate (22.8%), furacilin (13.9%), and hydrogen dioxide (13.9%). Conclusion The oral care practice for the critically-ill patients in ICUs of China is unsatisfactory, although it is perceived as an important item in nursing care. More evidence–based training should be given and it is necessary to establish a national oral care guideline for critically-ill patients.
ObjectiveTo identify the risk factors of Intensive Care Unit (ICU) nosocomial infection in ICU ward in a first-class hospital in Wuxi, and discuss the effective control measures, in order to provide evidence for making strategies in preventing and controlling nosocomial infection. MethodsAccording to the principle of random sampling and with the use of case-control study, a sample of 100 nosocomial infection patients were selected randomly from January 2012 to December 2014 as survey group, and another 100 patients without nosocomial infection as control group. The data were input using EpiData 2.0, and SPSS 13.0 was used for statistical analysis; t-test and χ2 test were conducted, and the risk factors were analyzed using multi-variate logistic regression model. The significant level of P-value was 0.05. ResultsBased on the results of univariate analysis, there were 13 risk factors for ICU nosocomial infection, including diabetes mellitus, hypoproteinemia, being bedridden, surgical operation, immunosuppression, glucocorticoids, organ transplantation, tracheal intubation, length of hospitalization, length of mechanical ventilation, length of central venous catheter, length of urinary catheter, and length of nasogastric tube indwelling. Multi-variate logistic analysis indicated that hospitalization of 7 days or longer[OR=1.106, 95%CI (1.025, 1.096), P=0.001], diabetes mellitus[OR=2.770, 95%CI (1.068, 7.186), P=0.036], surgical operation[OR=7.524, 95%CI (2.352, 24.063), P=0.001], mechanical ventilation of 7 days or longer[OR=1.222, 95%CI (1.116, 1.339), P<0.001], and nasogastric tube indwelling of 7 days or longer[OR=1.110, 95%CI (1.035, 1.190), P=0.003] were considered as independent risk factors for ICU nosocomial infection. ConclusionHospitalization of 7 days or longer, diabetes mellitus, surgical operation, tracheal intubation of 7 days or longer, and gastric intubation of 7 days or longer are the major risk factors for nosocomial infection in ICU ward. Advanced intervention and comprehensive prevention measures are helpful to reduce the nosocomial infection rate and ensure the safety of medical treatment.