Objective To formulate an evidence-based nursing scheme of eye care for an unconscious patient undergoing mechanical ventilation with eye complication. Methods Under the principle of PICO, the issue was put forward aiming directly at patient’s clinical manifestations, and the following databases as The Cochrane Library (Issue 12, 2011), PubMed (January 1980 to November 2011), EMbase (1974 to 2011) and CBM (1978 to 2011) were searched. Results A total of 3 guidelines, 2 systematic reviews and 9 randomized controlled trials (RCTs) were included. The evidence showed that eye cleaning was the very important part of eye care, and the commonly-used cleaning or rinsing solutions were saline and sterile water. Both moist cover and lubricating eye drops / ointment were used to prevent dryness in the eyes. For instance, polyethylene moisture covers could effectively prevent corneal abrasion, and lubricating eye drops / ointment were beneficial to eye observation, so these two methods needed to be properly selected in combination with patient’s conditions. Nurses had to assess the ability of the patient to close eyelids daily and helped the patient to close eyes, but the passive eyelids closure was inferior to the artificial tear ointment in the effect on preventing corneal abrasions; the integrated intervention of maintaining eyelids closure and forming eyeballs moisture chamber was more effective to prevent eye complications. According to the available evidence mentioned herein and the patient’s conditions, the following nursing scheme of eye care was formulated: cleaning the eyelids and peripheral skin using 0.9% saline gauze, covering the eyes with sterile polyethylene films which were fixed by anti-allergic adhesive tapes, changing the dressing every 12 hours, and observing closure of the eyelids every day. Seven days later, eye symptoms got obviously improved, with decreasing secretion, without congestion and chemosis, and negative results of fluorescein staining test. Conclusion Eye cleaning removes secretion and bacteria from the eyes. Polyethylene film prevents tear from evaporation and fully promotes the immune function of tears which can reduce the risk of infection. Eyelids closure and local moisture environment benefit the corneal epithelial repair.
Objective To explore the distribution characteristics and prognostic risk factors of critically ill patients who has long-term hospitalization in intensive care unit ( ICU) . Methods A retrospective study was carried out to evaluate 119 critically ill patients from January 2003 to July 2009 by extracting data from computerized hospital information system. The patients were divided into a survival group and a non-survival group based on discharging outcomes. A binary logistic regression analysis wasintroduced to investigate potential risk factors of prognosis. Results Age, type of payment, entity of disease,and length of ICU stay were significantly different between the two groups ( P lt; 0. 05) in independent-Samples T test. Logistic regressions indicated that age, length of ICU stay and plasma infusion were independent predictors for worse outcome. Conclusions Age, length of ICU stay and plasma infusion may directly influence the prognosis of patients with prolonged stay in ICU. Intensive therapies should be emphasized for those patients at high risk.
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.
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.
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.
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.
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 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 analyze the etiology, risk factors, and prognosis of late-onset hospitalacquired pneumonia ( L-HAP) in respiratory ICU. Methods In this retrospective case control study, 30 L-HAP patients and 30 patients without HAP in respiratory ICU were enrolled to investigate the features and risk factors of L-HAP. Stratification was made according to the onset time of L-HAP. The etiology and pathogen distribution at each stage were described and analyzed. Results Univariate analysis revealed thatunconsciousness, aspiration, mechanical ventilation, hypoalbuminemia, and long-term use of proton pump inhibitor were significantly associated with L-HAP. Logistic regression analysis revealed that mechanical ventilation( OR = 8. 7) and hypoalbuminemia ( OR = 20. 4) were independent risk factors for L-HAP. The L-HAP patients had longer stay in hospital, long-termantibiotic use, and higher mortality compared with the patients without HAP. For the patients whose L-HAP onset time within 6-14 days, the dominated pathogens were Acinetobacter baumannii and Klebsiella pneumonia. For those within 15-28 days, the dominated pathogens were Pseudomonas aeruginosa, Acinetobacter baumanni, and Staphylococcus aureus. For those beyond 29 days, the dominated pathogens were Pseudomonas aeruginosa and Stenotrophomonas maltophilia. Conclusions Mechanical ventilation and hypoalbuminemia are independent risk factors for L-HAP. The pathogen features of L-HAP are quite different at different inhospital stage.
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.
