Objective To explore the effect of “net bottom” management in the control of device-associated infections (DAIs) in elderly patients by setting infection monitoring doctors and nurses in the emergency intensive care unit (EICU). Methods Elderly patients who aged≥60 years old admitted to the EICU of the First People’s Hospital of Lianyungang between April 2018 and March 2021 were selected as the research subjects. A “net bottom” management mode was established and implemented for the purpose of infection prevention and control, taking medical and other departments as the coordination and management subjects, and infection monitoring doctors and nurses as the core. The effectiveness of the management intervention was evaluated by comparing the incidences of DAIs in elderly patients, the compliance rates of medical staff in hand hygiene, and the consumption of hand sanitizer per bed day in EICU among the primary stage (from April 2018 to March 2019), intermediate stage (from April 2019 to March 2020), and later stage (from April 2020 to March 2021). Results During the primary stage, intermediate stage, and later stage, there were 540, 497, and 507 elderly inpatients in EICU monitored, respectively, and the incidences of nosocomial infections were 7.22% (39/540), 5.84% (29/497), and 4.14% (21/507), respectively, showing a decreasing trend (χ2trend=4.557, P=0.033). The incidences of ventilator-associated pneumonia, central line-associated bloodstream infections, and catheter-associated urinary tract infections decreased from 4.82‰, 2.53‰, and 0.95‰, respectively in the primary stage, to 0.51‰, 1.01‰, and 0.53‰, respectively in the later stage, among which the difference in the incidence of ventilator-associated pneumonia was statistically significant (P<0.05). The hand hygiene compliance rate of EICU medical staff increased from 70.39% to 86.67% (P<0.05), and the consumption of hand sanitizer per bed day increased from 33.70 mL to 67.27 mL. The quarterly hand hygiene compliance rate was positively correlated with the quarterly consumption of hand sanitizer per bed day (rs=0.846, P=0.001), and negatively correlated with the quarterly incidence of nosocomial infections (rs=–0.769, P=0.003). Conclusion The “net bottom” management by setting up infection monitoring doctors and nurses in the EICU and multi-department collaboration can reduce the incidence of DAIs in elderly patients in EICU, which plays a positive role in promoting the hospital infection management and improving the quality of hospital infection management.
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 provide recommendations for the management of intensive care unit patients without novel coronavirus disease 2019 (COVID-19).MethodsWe set up a focus group urgently and identified five key clinical issues through discussion. Total 23 databases or websites including PubMed, National Guideline Clearing-House, Chinese Center for Disease Control and Prevention and so on were searched from construction of the library until February 28, 2020. After group discussion and collecting information, we used GRADE system to classify the evidence and give recommendations. Then we apply the recommendations to manage pediatric intensive care unit in the department of critical care medicine in our hospital. ResultsWe searched 13 321 articles and finally identified 21 liteteratures. We discussed twice, and five recommendations were proposed: (1) Patients should wear medical surgical masks; (2) Family members are not allowed to visit the ward and video visitation are used; (3) It doesn’t need to increase the frequency of environmental disinfection; (4) We should provide proper health education about the disease to non-medical staff (workers, cleaners); (5) Medical staff do not need wear protective clothing. We used these recommendations in intensive care unit management for 35 days and there was no novel coronavirus infection in patients, medical staff or non-medical staff. ConclusionThe use of evidence-based medicine for emergency recommendation is helpful for the scientific and efficient management of wards, and is also suitable for the management of general intensive care units in emergent public health events.
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 verify the association between admission serum phosphate level and short-term (<30 days) mortality of severe pneumonia patients admitted to intensive care unit (ICU) / respiratory intensive care unit (RICU). Methods Severe pneumonia patients admitted to the ICU/RICU of Quanzhou First Hospital Affiliated to Fujian Medical University from November 2019 to September 2021 were included in the study. Serum phosphate was demonstrated as an independent risk factor for short-term mortality of severe pneumonia patients admitted to ICU/RICU by logical analysis and receiver operator characteristic (ROC) curve. The patients were further categorized by serum phosphate concentration to explore the relationship between serum phosphate level and short-term mortality. Results Comparison of baseline indicators at admission between the survival group (n=54) and the non survival group (n=46) revealed that there was significant difference in serum phosphate level [0.9 (0.8, 1.2) mmol/L vs. 1.2 (0.9, 1.5) mmol/L, P<0.05]. Logical analysis showed serum phosphate was an independent risk factor for short-term mortality. ROC curve showed that the prediction ability of serum phosphate was close to pneumonia severity index (PSI). After combining serum phosphate with PSI score, CURB65 score, and sequential organ failure score, the predictive ability of these scores for short-term mortality was improved. Compared with the normophosphatemia group, hyperphosphatemia was found be with significantly higher short-term mortality (85.7% vs. 47.3%, P<0.05), which is absent in hypophosphatemia (25.8%). Conclusions Serum phosphate at admission has a good predictive value on short-term mortality in severe pneumonia patients admitted to the ICU/RICU. Hyperphosphatemia at admission is associated with a higher risk of short-term death.
ObjectiveTo explore the effect of closed-loop group nursing model on the makeshift intensive care unit (ICU) in a hospital specialized for coronavirus disease 2019 (COVID-19).MethodsSeveral fever wards had been shifted into ICUs and ran by the first medical team from Sichuan Province from January 30th to March 19th, 2020. Closed-loop group nursing model was utilized. The nursing model activated the nurses in management by empowerment and nursing group establishment. To ensure standard of care, measures were carried out in this model, namely, improving the physical work environment, nurse training, optimizing composition of nursing manpower, fine and standardized management of medical resources, “double-chain” medical supply system, “3S” management on first aid kit, protecting patient safety and dignity, and developing emergency nursing workforce deployment plan.ResultsThe implementation of closed-loop group nursing model showed good results in treating severe to critically ill COVID-19 patients regardless of shortages in nursing workforce and facilities. The rescue work was carried out successfully in the makeshift ICUs. All the nurses showed great teamwork and were really involved in the management of the wards. ConclusionsAs the current ICUs were not adequate for the increasing number of critically ill patients during the epidemic, it was unavoidable to transform other wards into ICUs. Closed-loop group nursing model was utilized to break the hierarchy. As a result, all nurses were empowered to participate in nursing management and their potential was fully inspired. Furthermore, this working model presented a clear working framework in multidisciplinary teamwork in a limited time, which also provided patients with dignity and safety.
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.
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 retrospectively analyze the clinical features of invasive pulmonary aspergillosis (IPA) in intensive care unit (ICU), so as to improve the level of clinical diagnosis and treatment. Methods A total of 81 patients diagnosed as IPA from March, 2017 to March, 2022 in the ICU of The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China were selected as infection group. A total of 81 non-IPA patients with pulmonary infection and Aspergillus negative sputum culture were selected as the control group. The host factors, Acute Physiology and Chronic Health Assessment Ⅱ score at admission, underlying diseases, clinical symptoms and signs, relevant laboratory test results, and lung CT findings were compared between the two groups. Univariate analysis and multivariate conditional logistic regression analysis were used to identify the risk factors for the occurrence of pulmonary aspergillosis in IPA patients in ICU. At the same time, the types of aspergillus in the IPA group and the outcomes of the two groups at 28 days after ICU admission were analyzed. Results Of the 81 IPA patients, 4 were proven diagnosed and 77 were putative diagnosed. IPA patients were mainly infected with Aspergillus fumigatus and Aspergillus flavus. Symptoms and signs such as fever, cough and expectoration, dyspnea and pulmonary rales occurred in both groups. The level of procalcitonin in IPA group was higher than that in non-IPA group, and the difference was statistically significant (P=0.016). The positive rate of serum galactomannan antigen test (GM test) in the IPA group was higher than that in the non-IPA group, and the differences was statistically significant (P=0.000). The incidence of pulmonary imaging cavities in IPA group was higher than that in non-IPA group, and the difference was statistically significant (P=0.022). Univariate analysis showed that central venous catheterization, septic shock, complete parenteral nutrition, chronic obstructive pulmonary disease, and immunosuppression were risk factors for IPA (P<0.05); Multivariate conditional logistic regression analysis showed that complete parenteral nutrition, chronic obstructive pulmonary disease, and immunosuppression were independent risk factors for IPA (P<0.05). The 28-day fatality rate in IPA group was higher than that in non-IPA group (55.6% vs. 34.6%, P=0.007). Conclusions IPA patients have no specific clinical symptoms and signs, and are mainly infected with Aspergillus fumigatus and Aspergillus flavus; GM test has guiding significance for the diagnosis of IPA. Serum GM test and pulmonary imaging have cavity findings that are helpful for the diagnosis of IPA. Patients with a history of chronic obstructive pulmonary disease, immunosuppression, or complete parenteral nutrition need to be on high alert for the possibility of IPA during ICU stay.
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.