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.
Objective To investigate the correlation between monocyte-lymphocyte ratio (MLR) and intensive care unit (ICU) results in ICU hospitalized patients. Methods Clinical data were extracted from Medical Information Mart for Intensive Care Ⅲ database, which contained health data of more than 50000 patients. The main result was 30-day mortality, and the secondary result was 90-day mortality. The Cox proportional hazards model was used to reveal the association between MLR and ICU results. Multivariable analyses were used to control for confounders. Results A total of 7295 ICU patients were included. For the 30-day mortality, the hazard ratio (HR) and 95% confidence interval (CI) of the second (0.23≤MLR<0.47) and the third (MLR≥0.47) groups were 1.28 (1.01, 1.61) and 2.70 (2.20, 3.31), respectively, compared to the first group (MLR<0.23). The HR and 95%CI of the third group were still significant after being adjusted by the two different models [2.26 (1.84, 2.77), adjusted by model 1; 2.05 (1.67, 2.52), adjusted by model 2]. A similar trend was observed in the 90-day mortality. Patients with a history of coronary and stroke of the third group had a significant higher 30-day mortality risk [HR and 95%CI were 3.28 (1.99, 5.40) and 3.20 (1.56, 6.56), respectively]. Conclusion MLR is a promising clinical biomarker, which has certain predictive value for the 30-day and 90-day mortality of patients in ICU.
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 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 investigate clinical characteristics and influencing factors of lower respiratory tract infection of Acinetobacter baumannii (AB-LRTI) in respiratory intensive care unit (RICU).MethodsClinical data were collected from 204 RICU patients who were isolated Acinetobacter baumannii (AB). The bacteriological specimens were derived from sputum, bronchoscopic endotracheal aspiration, bronchoalveolar lavage fluid, pleural effusion and blood. The definition of bacterial colonization was based on the responsible criteria from Centers for Disease Control and Prevention/National Medical Safety Network (CDC/NHSN). The patients were divided into three groups as follows, AB colonization group (only AB was isolated, n=40); simple AB-LRTI group (only AB was isolated and defined as infection, n=63), AB with another bacteria LRTI group (AB and another pathogen were isolated simultaneously, n=101). The epidemiology, clinical characteristics and influencing factors of each group were analyzed and compared. ResultsCompared with the AB colonization group, the AB with another bacteria LRTI group had higher proportion of patients with immunosuppression, specimens from sputum and bronchoalveolar lavage fluid, more than 4 invasive procedures, 90-day mortality, white blood cell count >10×109/L (or <4×109/L), neutrophil percent >75% (or <40%), lymphocyte count <1.1×109/L, platelet count <100×109/L, albumin <30 g/L, high sensitivity C-reactive protein >10 mg/L, and neutrophil-to-lymphocyte ratio (NLR). The frequency of bronchoscopy and days of infusing carbapenem within 90 days before isolating AB, the Acute Physiology and Chronic Health Evaluation Ⅱ score, the proportion of patients with invasive mechanical ventilation and the duration of invasive mechanical ventilation in the AB with another pathogen LRTI group were higher than those in the AB colonization group (all P<0.05). Days of infusing carbapenem and β-lactams/β-lactamase inhibitors within 90 days before isolating AB, proportion of septic shock, NLR and 90-day mortality of the patients from the AB with another pathogen LRTI group were more than those in the simple AB-LRTI group (all P<0.05). After regression analysis, more than 4 invasive procedures, or immunosuppression, or with more days of infusing carbapenem within 90 days before isolating AB were all the independent risk factors for AB-LRTI.ConclusionsThere are significant differences in epidemiology, clinical symptoms and laboratory indicators between simple AB-LRTI, AB with another pathogen LRTI and AB colonization in RICU patients. For RICU patients, who suffered more than 4 invasive procedures, immunosuppression, or with more days of infusing carbapenem within 90 days before isolating AB, are more susceptible to AB-LRTI.
Objective To explore factors affecting the shunt safety of patients in emergency intensive care unit (EICU), construct a shunt safety evaluation model, and evaluate its prediction effectiveness, so as to provide a theoretical basis for the decision-making of shunt safety in EICU. Methods The demographic data, vital signs, laboratory examinations and other indicators of patients transferred to the general ward from the EICU of West China Hospital of Sichuan University from 0:00 on August 1, 2019 to 23:59 on May 31, 2021 were collected and analyzed. The short-term poor prognosis after being transferred out of the EICU was regarded as the end-point event. Of the patients, 70% were randomly selected as the model construction cohort, and 30% were the model validation cohort. In the model construction cohort, multivariate logistic regression analysis was used to screen the influencing factors affecting shunt safety, and the shunt safety evaluation model of patients in EICU was constructed. In the validation cohort, receiver operating characteristic curve was used to evaluate the effectiveness of the model in evaluating the shunt safety of patients in EICU. Results A total of 582 patients were included, of whom 59 patients (10.1%) had a poor short-term prognosis. Multivariate logistic regression analysis showed that the patients’ respiratory rate when leaving the EICU [odds ratio (OR)=0.863, 95% confidence interval (CI) (0.794, 0.938), P=0.001], Glasgow Coma Scale scores [OR=1.575, 95%CI (1.348, 1.841), P<0.001], albumin [OR=1.137, 95%CI (1.008, 1.282), P=0.036], prothrombin time [OR=0.956, 95%CI (0.914, 1.000), P=0.048] were the influencing factors of shunt safety. Based on the above indicators, a shunt safety evaluation model for patients in EICU was created. The area under the curve for the shunt safety assessment model to predict poor short-term prognosis was 0.815, the best cut-off value was 4 points, the sensitivity was 93.3%, and the specificity was 61.5%. Conclusions The patients’ respiratory rate when leaving EICU, Glasgow Coma Scale scores, albumin and prothrombin time are factors affecting the shunt safety for patients in EICU. The shunt safety assessment model can better predict the short-term poor prognosis of patients transferred from EICU to general ward.
ObjectiveTo analyze the trend of disease spectrum and main diagnosis and therapeutic technologies in respiratory intensive care unit (RICU) in recent years, and find out the trend of change of patient’s characteristics and commonly used interventions in order to provide evidence for planning discipline development and improving personnel training program.MethodsPatients information and main diagnosis and therapeutic technologies of 1503 inpatients in RICU of Shenzhen People's Hospital from January, 2017 to December, 2020 were collected. The changes of disease spectrum and diagnosis and treatment technologies in different years were compared and analyzed.ResultsAmong all the patients, 66.3% were directly admitted into RICU, 12.1% were transferred from respiratory department, and 21.6% were transferred from other departments. The proportion of patients with non-respiratory diseases as principal diagnosis had an increasing trend, from 18.8% in 2017 to 37.3% in 2020 (P<0.05). The diseases with most obvious increasing trend were sepsis, nervous system diseases, circulatory system diseases and extra-pulmonary malignancies (P<0.05). The use of respiratory related diagnosis and therapeutic technologies was gradually increasing, meanwhile, the use of non-traditional respiratory related technologies, especially continuous renal replacement therapy, was also increasing. There was no significant difference in fatality rate among different years (P>0.05).ConclusionsThe number of patients with extra-pulmonary diseases and the use of non-traditional respiratory related diagnosis and therapeutic technologies in RICU were increasing. The development of RICU and the allocation of technical personnel needed to be improved accordingly.
ObjectiveTo investigate the protein intake of patients in the general surgery intensive care unit (ICU) and to analyze the factors, both hindering and facilitating, that affecting protein intake from the perspective of healthcare professionals. MethodsA mixed-methods approach was used in this study, including a quantitative study and a qualitative study. The quantitative study was use to assess the protein intake in the ICU patients. The qualitative study was used to analyze the perspectives of healthcare professionals via semi-structured interviews. In the quantitative study, 32 variables were analyzed, and the sample size was estimated to be 10 times the number of study variables. The qualitative study employed the maximum difference sampling strategy, with the sample size determined by data saturation. The multiple linear regression was used to identify the risk factors affecting protein intake achievement, with a significance level of α=0.05. ResultsThe quantitative study included 459 patients, with a protein intake of (0.739±0.552) g/(kg·d). Of the patients, 90 (19.6%) had a protein intake of 1.2–2.0 g/(kg·d), 11 (2.3%) had 2.0 g/(kg·d) or more, and 358 (78.0%) had less 1.2 g/(kg·d). The multiple linear regression analysis identified several risk factors influencing protein intake attainment, including male, higher body mass index, elevated blood glucose levels upon ICU admission, early initiation of enteral nutrition (≤48 h), nasoenteric tube placement, and the only use of enteral nutrition feedings. In the qualitative study, three key themes relevant protein intake attainment were identified from the interviews: inadequate infrastructure, healthcare workers’ factors, and patient-related factors. ConclusionsThe findings of this study suggest a substantial gap between the protein intake of general surgical ICU patients and the guideline-recommended intake. The study highlights patient groups at risk for inadequate protein intake based on identified risk factors. Future efforts should focus on improving the efficiency of protein supplementation, enhancing the nutritional status of patients, standardizing protein supplementation protocols, and increasing education for both healthcare workers and patients.
Objective To systematically assess the risk factors for the occurrence of multidrug-resistant organism (MDRO) infections in general intensive care units (ICU). Methods A computerized search was conducted to identify literature on the risk factors for MDRO infection in ICUs in the Chinese Biomedical Literature Service system, CNKI, Wanfang, VIP, PubMed, Web of Science, Cochrane Library, and Embase databases from January 1, 2012, to June 1, 2024. The literature meeting the inclusion and exclusion criteria was subjected to two-person data extraction and quality evaluation, and then meta-analysis was conducted by using Revman5.4 software. Results A total of 25 articles were included, with a cumulative total of 19 280 patients, including 3 945 patients with MDRO infection (20.5%). Twenty-four risk factors were analyzed, and the difference between 19 of them was statistically significant (P<0.050). The risk factors for MDRO infection included: (1) three general factors: length of hospital stay, ICU length of stay, and APACHE Ⅱ score; (2) seven invasive operation-related factors: mechanical ventilation, duration of mechanical ventilation, fiberoptic bronchoscopy, arterial intubation , length of venous catheterization, ureteral intubation, and urinary catheter retention; (3) four antibiotic-related factors: use of antimicrobials prior to ICU admission, concomitant antimicrobials, antimicrobial species, and duration of antimicrobials use; (4) five factors related to the underlying diseases: hypoproteinemia, pulmonary diseases, combined underlying diseases, number of combined underlying diseases, and mixed infections. Conclusions The current research evidence suggests that multiple factors are associated with the occurrence of MDRO infections in patients in general ICU, which may provide a basis for early screening of patients at risk for MDRO infections by ICU healthcare professionals.
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.