Objective To investigate the antibiotic resistance distribution and profiles of multidrug resistant bacteria in respiratory intensive care unit ( RICU) , and to analyze the related risk factors for multidrug resistant bacterial infections. Methods Pathogens from79 patients in RICU from April 2008 to May 2009 were analyzed retrospectively. Meanwhile the risk factors were analyzed by multi-factor logistic analysis among three groups of patients with non-multidrug, multidrug and pandrug-resistant bacterialinfection. Results The top three in 129 isolated pathogenic bacteria were Pseudomonas aeruginosa ( 24. 0% ) , Staphylococcus aureus( 22. 5% ) , and Acinetobacter baumannii( 15. 5% ) . The top three in 76 isolated multidrug-resistant bacteria were Staphylococcus aureus ( 38. 9% ) , Pseudomonas aeruginosa ( 25. 0% ) , and Acinetobacter baumannii( 19. 4% ) . And the two main strains in 29 isolated pandrug-resistant bacteria were Pseudomonas aeruginosa ( 48. 3% ) and Acinetobacter baumannii ( 44. 8% ) . Multi-factor logistic analysis revealed that the frequency of admition to RICU, the use of carbapenem antibiotics, the time of mechanical ventilation, the time of urethral catheterization, and complicated diabetes mellitus were independent risk factors for multidrug-resistant bacterial infection( all P lt; 0. 05) . Conclusions There is a high frequency of multidrug-resistant bacterial infection in RICU. Frequency of admition in RICU, use of carbapenem antibiotics, time of mechanical ventilation, time of urethral catheterization, and complicated diabetes mellitus were closely related withmultidrug-resistant bacterial infection.
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.
Objective To investigate the differences in bacteria distribution and drug resistance of pathogens in patients with lower respiratory tract infection between respiratory general wards and respiratory intensive care unit ( RICU) .Methods All the clinical isolates fromsputumor secretion of lower respiratory tract from2007. 1-2010. 10 were analyzed retrospectively. Antibiotic susceptibility was tested by Kirby-Bauer method. Results The total number of isolated strains was 3202. Among 1254 strains isolated from respiratory general wards, Gram-positive bacteria accounted for 2. 63% , Gram-positive bacteria accounted for 42. 42% , and fungi accounted for 54. 95% . Streptococcus pneumoniae ranked first place among Gram-positive bacteria, accounting for 51. 52% . Haemophilus parainfluenzae bacillus ranked first place among Gramnegative bacteria, accounting for 21. 99% . Both were sensitive to the most commonly used antibiotics. Among 1948 strains isolated from RICU ward, Gram-positive bacteria accounted for 4. 52% , Gram-positive bacteria accounted for 37.73% , and fungi accounted for 57. 75% . Staphylococcus aureus ranked first place among Gram-positive bacteria, accounting for 52. 27% . Acinetobacter baumannii ranked first place in Gramnegative bacteria, accounting for 27. 35% . Both were resistant to most commonly used antibiotics. Pseudomonas aeruginosa had a higher rate of infection both in the general wards and RICU, and was resistant to most commonly used antibiotics.Conclusions In lower respiratory tract infection of respiratory general ward, Gram-positive bacteria with Streptococcus pneumoniae mainly and Gram-negative bacteria with Haemophilus parainfluenzae mainly are both sensitive to the most commonly used antibiotics. While in the RICU ward, Gram-positive bacteria infections with Staphylococcus aureus mainly and Gram-negative bacteria infections with Acinetobacter baumannii mainly are both resistant to most commonly used antibiotics.
ObjectiveTo analyze targeted surveillance results of nosocomial infection in Neurosurgical Intensive Care Unit (ICU) and investigate the characteristics of nosocomial infection, in order to provide reference for constituting the intervention measures. MethodsWe monitored the incidence of nosocomial infection, the application and catheter-related infection of invasive operation, and the situation of multiple resistant bacteria screening and drug resistance characteristics of each patient who stayed more than two days in neurosurgical ICU during January to December 2013. ResultsThere were a total of 1 178 patients, and the total ICU stay was 4 144 days. The nosocomial infection rate was 4.92%, and the day incidence of nosocomial infection was 13.75‰. The nosocomial infection rate was significantly higher in January and between July and December compared with other months. Ventilator utilization rate was 9.75%; ventilator-associated pneumonia incidence density was 14.85 per 1 000 catheter-days; central line utilization rate was 28.40%; central line-associated bloodstream infection incidence density was 0.85 per 1 000 catheter-days; urinary catheter utilization rate was 97.90%; and the incidence density of catheter-associated urinary tract infection was 0.25 per 1 000 catheter-days. ConclusionThe nosocomial infection rate has an obvious seasonal characteristic in neurosurgical intensive care unit, so it is necessary to make sure that the hospital infection control full-time and part-time staff should be on alert, issue timely risk warning, and strengthen the risk management of hospital infection.
ObjectiveTo explore the infection condition of Acinetobacter baumannii at the Neurosurgery Intensive Care Unit (NICU), and analyze the possible risk factors. MethodsWe retrospectively analyzed the clinical data of Acinetobacter baumannii infection patients with craniocerebral injury treated at the NICU between January 2011 and June 2013. We collected such information as infection patients' population distribution, infection site, invasive operations and patients' nurse-in-charge level and so on, and analyzed the possible risk factors for the infection. ResultsThirty-one patients were infected with Acinetobacter baumannii, and they were mainly distributed between 60 and 80 years old. The main infection site was lower respiratory tract, followed in order by urinary tract, gastrointestinal tract, skin and soft tissue. The risk factors might be related to age, invasive operation, nurse working ability, etc. ConclusionThe patients at the NICU are vulnerable to infection of Acinetobacter baumannii. Reducing invasive diagnosis and nursing procedures, providing optimal care, and carrying out specialized nurse standardization training may be the important means to effectively reduce the infection.
ObjectiveTo analyze epidemic characteristics of multidrug-resistant organism (MDRO) in Neurosurgical Intensive Care Unit (NSICU), and to analyze the status of infection and colonization, in order to provide reference for constituting intervention measures. MethodsPatients who stayed in NSICU during January 2014 to April 2015 were actively monitored for the MDRO situation. ResultsA total of 218 MDRO pathogens were isolated from 159 patients, and 42 cases were healthcare-associated infections (HAI) among 159 patients. The Acinetobacter baumannii was the most common one in the isolated acinetobacter. Colonization rate was positively correlated with the incidence of HAI. From January to December, there was a significantly increase in the colonization rate, but not in the incidence of HAI. ConclusionThe main MDRO situation is colonization in NSICU. The obvious seasonal variation makes the HAI risk at different levels. So it is necessary that full-time and part-time HAI control staff be on alert, issue timely risk warning, and strengthen risk management. The Acinetobacter baumannii has become the number one target for HAI prevention and control in NSICU, so their apparent seasonal distribution is worthy of more attention, and strict implementation of HAI prevention and control measures should be carried out.
Objective To explore risk factors related to acute kidney injury (AKI) in children who underwent corrective surgery for tetralogy of Fallot (TOF). Methods We retrospectively analyzed the clinical data of 726 children with corrective procedures for TOF aged less than 3 years in our hospital from March 1st 2010 to March 1st 2013. Children with AKI were picked using Acute Kidney Injury Network criteria. Demographic and perioperative variables of the remaining patients were reviewed. Univariate analysis was performed to compare the AKI group (240 patients) with the non-AKI group (486 patients). Multivariable analysis was carried out to identify significant determinants of AKI. Results A total of 240 children were with AKI. The result of univariate analysis showed that there was a statistical difference in age, Nakata index, McGoon ratio, left ventricular end-diastolic volume index (LVEDVI), transannular right ventricular outflow tract (RVOT) patch, or fresh frozen plasma (FFP) in prime solution between the AKI group and the non-AKI group. Multivariable logistic regression showed that in older children (OR=1.425, 95% CI 1.071 to 1.983, P=0.011) with more transfusion of FFP in the priming solution (OR=1.486, 95% CI 1.325 to 2.674, P<0.001) led to higher morbidity of mild AKI. In addition, there was an increase in morbidity related to AKI when children had less Nakata index (OR=0.282, 95% CI 0.092 to 0.869, P=0.013). Conclusion Postoperative AKI increases in older children group. Infusion of more FFP in priming solution increases morbidity of AKI. The less Nakata index is significantly associated with severe AKI.
Objective To identify the predictors for readmission in the ICU among cardiac surgery patients. Methods We conducted a retrospective cohort study of 2 799 consecutive patients under cardiac surgery, who were divided into two groups including a readmission group (47 patients, 27 males and 20 females at age of 62.0±14.4 years) and a non readmission group (2 752 patients, 1 478 males and 1 274 females at age of 55.0±13.9 years) in our hospital between January 2014 and October 2016. Results The incidence of ICU readmission was 1.68% (47/2 799). Respiratory disorders were the main reason for readmission (38.3%).Readmitted patients had a significantly higher in-hospital mortality compared to those requiring no readmission (23.4% vs. 4.6%, P<0.001). Logistic regression analysis revealed that pre-operative renal dysfunction (OR=5.243, 95%CI 1.190 to 23.093, P=0.029), the length of stay in the ICU (OR=1.002, 95%CI 1.001 to 1.004, P=0.049), B-type natriuretic peptide (BNP) in the first postoperative day (OR=1.000, 95%CI 1.000 to 1.001, P=0.038), acute physiology and chronic health evaluationⅡ (APACHEⅡ) score in the first 24 hours of admission to the ICU (OR=1.171, 95%CI 1.088 to1.259, P<0.001), and the drainage on the day of surgery (OR=1.001, 95%CI1.001 to 1.002, P<0.001) were the independent risk factors for readmission to the cardiac surgery ICU. Conclusion The early identification of high risk patients for readmission in the cardiac surgery ICU could encourage both more efficient healthcare planning and resources allocation.
In recent years, transesophageal echocardiography has a trend toward miniaturization, so it has great clinical significance and broad clinical application prospect in the management of Cardiac Surgery ICU patient. This paper presents the characteristics of miniaturized transesophageal echocardiography and its clinical application. And we also focused on the contrast between miniaturized transesophageal echocardiography and standard transesophageal echocardiography and transthoracic echocardiography.
Medical device-related pressure injury (MDRPI) is a kind of pressure injury that occurs in the course of diagnosis and treatment, and its appearance is similar to that of medical device. Neonatal intensive care unit (NICU) infants are more likely to develop MDRPI than children and adults because of the physiological characteristics of skin and the influence of disease. At present, the occurrence of MDRPI in NICU infants is attracting worldwide attention. Its treatment and nursing consume a large amount of medical resources, which not only affect the outcome of the disease, but also increase the economic burden of the family and society. This article summarizes the MDRPI from three aspects: summary, influencing factors, and evaluation tools. It is expected that NICU nurses will carry out large sample clinical investigation of MDRPI in the future, so as to provide a reference for risk prediction model and risk assessment tools to identify high-risk infants and take effective measures in advance to reduce the incidence of MDRPI.