Objective To investigate the protective effect and mechanism of heat acclimation(HA)on electromagnetic field(EMF)induced hippocampus neuron injury in mice.Methods Forty healthy BALB/c male mice(18～22 g,7 weeks old)were randomly divided into 4 groups(n=10):Control group(Con),HA group(34℃,30 d),EMF group(2 450 MHz,20 min/d,4 weeks)and HA+EMF group(HA preconditioning+EMF).Sucrose preference test was performed to evaluate sucrose preference levels of mice in each group.Tail suspension test and forced swimming test were utilized to observe the immobility time.Morris water maze test was conducted to determine the learning and memory capabilities.Pathological changes in the hippocampus were observed with HE staining.Immunohistochemical assay for Iba1(marker of microglia),CD68(marker of pro-inflammatory phenotype)and CD206(marker of anti-inflammatory phenotype)were used to detect the number and activation phenotype of microglia in the hippocampus.ELISA was applied to measure the levels of TNF-α,IL-1β,TGF-β and IL-10 in the hippocampus of each group.Western blotting was performed to determine the protein levels of HSP70 in the hippocampus.Results As compared with the Con group,the EMF group showed a decreased preference for sucrose(P<0.05),prolonged immobile time in the tail suspension test(P<0.01)as well as in the forced swimming test(P<0.01),extented escape latency on the 7th day(P<0.01),and a decreased time of crossing the platform(P<0.05).EMF exposure resulted in that the hippocampal neurons were in disordered arrangement,loose structure and irregular morphology,with swollen cytoplasm and condensed nuclei,swollen and more microglial cells in the hippocampus(P<0.01),and enhanced relative fluorescence intensity of CD68(P<0.01),but not in CD206 fluorescence intensity(P=0.885).All these findings suggested that activated microglia predominantly exhibited a pro-inflammatory M1 phenotype during this phase.In the hippocampus,the levels of TNF-α and IL-1β were significantly increased,while the levels of IL-10 and TGF-β were significantly decreased(P<0.01).HA treatment reversed the conditions induced by EMF exposure,including better preference for sucrose(P<0.01),shorten immobile time in tail suspension test(P<0.05)and forced swimming test(P<0.01),less escape latency on the 7th day(P<0.01),and improved hippocampal cell injuries.Compared with the Con group,there were more microglial cells in the hippocampus in the HA+EMF group,with increased relative fluorescence intensity of M2 phenotype marker CD206(P<0.01)and decreased CD68 fluorescence intensity(P<0.01).HA treatment also significantly decreased the expression of TNF-α and IL-1β levels(P<0.01),increased the expression of IL-10 and TGF-β(P<0.01),and elevated the protein level of HSP70(P<0.01)when compared with the EMF group.Conclusion HA may ameliorate EMF-induced hippocampus neurons injury in mice by altering the phenotype of activated microglia and inhibiting inflammatory responses.

[Abtract]Nursing safety management is crucial to patient health outcomes,and real-time monitoring and early warning systems play a vital role in enhancing nursing safety and reducing medical incidents.Wearable flexible devices enable non-invasive,continuous monitoring of various physiological parameters and provide timely alerts.These devices not only improve the efficiency and quality of nursing safety management but also offer patients more convenient,accurate,and personalized care services.This article provides a comprehensive review of the application of wearable flexible devices in nursing safety management,examining their application scenarios,advantages,and challenges,and offering insights to facilitate the further integration of this technology into nursing safety practices.

[Abtract]Nursing safety management is crucial to patient health outcomes,and real-time monitoring and early warning systems play a vital role in enhancing nursing safety and reducing medical incidents.Wearable flexible devices enable non-invasive,continuous monitoring of various physiological parameters and provide timely alerts.These devices not only improve the efficiency and quality of nursing safety management but also offer patients more convenient,accurate,and personalized care services.This article provides a comprehensive review of the application of wearable flexible devices in nursing safety management,examining their application scenarios,advantages,and challenges,and offering insights to facilitate the further integration of this technology into nursing safety practices.

Objective To explore and identify the nutritional/inflammatory indicator with the highest predictive potential for overall survival(OS)in postoperative tumor patients so as to provide guidance for postoperative rehabilitation of tumor patients.Methods Data from 3 191 surgical patients were collected,including 15 nutritional/inflammatory indicators.The maximum selection rank statistic method was used to calculate the optimal cut-off values for continuous indicators.The Kaplan-Meier method was used to assess OS,and Cox proportional hazards models were used to analyze the association between the aforementioned 15 indicators and survival.The predictive value of these 15 indicators was evaluated with receiver operating characteristic(ROC)curves and C-index.Results Multivariate analysis showed that all 15 indicators were significantly associated with poorer OS in surgical patients(P＜0.05 for all).Time-dependent area under the curve(AUC)and C-index analysis indicated that 3 indicators with the highest predictive potential in OS in postoperative tumor patients were the nutritional risk index(NRI)(C-index:0.597),C-reactive protein-to-albumin ratio(CAR)(C-index:0.587),and C-reactive protein-to-lymphocyte ratio(CLR)(C-index:0.587).The optimal cut-off value for NRI was determined to be 104.31(i.e.,NRI＜104.31 suggests malnutrition)with the maximum selection rank statistic method,the optimal cut-off value for CAR to be 0.05(i.e.,CAR≥0.05 suggests a strong inflammatory response,often accompanied by malnutrition),and the optimal cut-off value for CLR to be 1.18(i.e.,CLR≥1.18 suggests a strong inflammatory response).Subgroup analysis indicated that NRI,CAR,and CLR had good correlation with tumor staging,and there were significant differences between tumor node metastasis(TNM)Ⅲ/Ⅳ stage patients and TNM Ⅰ/Ⅱ stage patients when there was a strong inflammatory response or malnutrition.Conclusion In postoperative tumor patients,NRI,CLR,and CAR have high prognostic value.Combining these with the patient's clinical stage,it enables more precise guidance for clinical diagnosis and treatment strategies.

Objective To evaluate the effectiveness of active screening in improving the detection rate of carbape-nem-resistant Enterobacterales(CRE)in the intensive care units(ICUs).Methods From July 2023 to June 2024,active screening of rectal swab CRE was conducted on ICU patients in 10 hospitals.ICU patients who underwent ac-tive screening from July 2023 to June 2024 were selected as the study group,while those who did not undergo active screening from July 2022 to June 2023 were selected as the control group.Difference in CRE detection rates between the two groups of patients was compared.Results A total of 7 803 ICU patients were included in the study group,744 CRE strains were detected,with a detection rate of 9.53％,out of which 304 CRE strains were detected through routine detection(detection rate 3.90％),3 707 patients underwent active screen,440 CRE strains were detected(detection rate 11.87％).7 561 ICU patients were included in the control group,out of which 250 CRE strains were detected through routine detection,with a detection rate of 3.31％.There was a statistically significant difference in the overall detection rate of CRE between two groups of patients(x2=246.18,P＜0.001).In the study group,CRE detection rate of active screening(11.87％)was higher than that of routine detection(3.90％),with statistically significant difference(x2=264.26,P＜0.001).A total of 17 CRE strains were detected from the study group.The proportions of Klebsiella pneumoniae(80.92％vs 73.41％)and Serratia marcescens(2.30％vs0.23％)in the routine detection group were both higher than in the active screening group,while the proportion of Escherichia coli in the routine detection group was lower(8.22％vs 19.55％),all with statistically significant differences(all P＜0.05).Conclusion The prevalence of CRE in ICUs is relatively high,with a wide range of bac-terial species.Active screening can improve the detection rate of CRE.

Objective To evaluate the effectiveness of active screening in improving the detection rate of carbape-nem-resistant Enterobacterales(CRE)in the intensive care units(ICUs).Methods From July 2023 to June 2024,active screening of rectal swab CRE was conducted on ICU patients in 10 hospitals.ICU patients who underwent ac-tive screening from July 2023 to June 2024 were selected as the study group,while those who did not undergo active screening from July 2022 to June 2023 were selected as the control group.Difference in CRE detection rates between the two groups of patients was compared.Results A total of 7 803 ICU patients were included in the study group,744 CRE strains were detected,with a detection rate of 9.53％,out of which 304 CRE strains were detected through routine detection(detection rate 3.90％),3 707 patients underwent active screen,440 CRE strains were detected(detection rate 11.87％).7 561 ICU patients were included in the control group,out of which 250 CRE strains were detected through routine detection,with a detection rate of 3.31％.There was a statistically significant difference in the overall detection rate of CRE between two groups of patients(x2=246.18,P＜0.001).In the study group,CRE detection rate of active screening(11.87％)was higher than that of routine detection(3.90％),with statistically significant difference(x2=264.26,P＜0.001).A total of 17 CRE strains were detected from the study group.The proportions of Klebsiella pneumoniae(80.92％vs 73.41％)and Serratia marcescens(2.30％vs0.23％)in the routine detection group were both higher than in the active screening group,while the proportion of Escherichia coli in the routine detection group was lower(8.22％vs 19.55％),all with statistically significant differences(all P＜0.05).Conclusion The prevalence of CRE in ICUs is relatively high,with a wide range of bac-terial species.Active screening can improve the detection rate of CRE.

Objective To explore and identify the nutritional/inflammatory indicator with the highest predictive potential for overall survival(OS)in postoperative tumor patients so as to provide guidance for postoperative rehabilitation of tumor patients.Methods Data from 3 191 surgical patients were collected,including 15 nutritional/inflammatory indicators.The maximum selection rank statistic method was used to calculate the optimal cut-off values for continuous indicators.The Kaplan-Meier method was used to assess OS,and Cox proportional hazards models were used to analyze the association between the aforementioned 15 indicators and survival.The predictive value of these 15 indicators was evaluated with receiver operating characteristic(ROC)curves and C-index.Results Multivariate analysis showed that all 15 indicators were significantly associated with poorer OS in surgical patients(P＜0.05 for all).Time-dependent area under the curve(AUC)and C-index analysis indicated that 3 indicators with the highest predictive potential in OS in postoperative tumor patients were the nutritional risk index(NRI)(C-index:0.597),C-reactive protein-to-albumin ratio(CAR)(C-index:0.587),and C-reactive protein-to-lymphocyte ratio(CLR)(C-index:0.587).The optimal cut-off value for NRI was determined to be 104.31(i.e.,NRI＜104.31 suggests malnutrition)with the maximum selection rank statistic method,the optimal cut-off value for CAR to be 0.05(i.e.,CAR≥0.05 suggests a strong inflammatory response,often accompanied by malnutrition),and the optimal cut-off value for CLR to be 1.18(i.e.,CLR≥1.18 suggests a strong inflammatory response).Subgroup analysis indicated that NRI,CAR,and CLR had good correlation with tumor staging,and there were significant differences between tumor node metastasis(TNM)Ⅲ/Ⅳ stage patients and TNM Ⅰ/Ⅱ stage patients when there was a strong inflammatory response or malnutrition.Conclusion In postoperative tumor patients,NRI,CLR,and CAR have high prognostic value.Combining these with the patient's clinical stage,it enables more precise guidance for clinical diagnosis and treatment strategies.

Background In the Global Burden of Disease research, it has been found that atmospheric fine particulate matter (PM_2.5) pollution significantly harms human health. Currently, there is limited research on polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) that exhibit high toxicity effects in PM_2.5 . Objective By studying the spatiotemporal distribution and variation characteristics of PCDD/Fs in PM_2.5 in Pudong area of Shanghai, to assess the associated population health risk. Methods This study set up 28 sampling points in Pudong area. One sample of PM_2.5 was collected during winter (February 2022) and summer (July 2022) at each site, with a sampling period lasting 24 h. The concentration of PM_2.5 was measured by membrane filter method, and the content of 17 kinds of 2,3,7,8-substituted chlorinated PCDD/Fs in the samples was analyzed using isotope dilution. Seasonal variations (winter and summer) in the concentrations of PM_2.5 and PCDD/Fs were evaluated, sources of PCDD/Fs pollution were tracing by principal component analysis, and health risks to the population from respiratory exposure to PCDD/Fs were estimated by VLIER-HUMAAN model. Results The PM_2.5 concentrations in the 28 samples ranged from 10 to 126 μg·m⁻³, while the concentrations of PCDD/Fs in PM_2.5 ranged from 58 to 2625 fg·m⁻³. The concentration of PM_2.5 during winter (11-126 μg·m⁻³) was higher than that during summer (10-60 μg·m⁻³). The concentration range of PCDD/Fs in winter was from 58 to 2625 fg·m⁻³, which corresponded to a range of toxic equivalent quantity (WHO-TEQ) concentration from 2.99 to 40.97 fg·m⁻³ when taking World Health Organization's toxic equivalency factor (WHO-TEQ); the concentration range of PCDD/Fs in summer was from 72 to 446 fg·m⁻³, which corresponded to a range of WHO-TEQ concentration from 2.66 to 16.61 fg·m⁻³. This range in summer was significantly lower than that observed in winter. The results of principal component analysis revealed that waste incineration was the primary source of PCDD/Fs in winter PM_2.5 in the area, whereas traffic emissions emerged as the main source in summer. The assessment of Pudong residents' respiratory exposure to PCDD/Fs in PM_2.5 showed significantly higher exposure of children in summer and winter than that of adults, indicating higher susceptibility of children to air pollutants. Both the hazard ratios (HR) for children and adults were below 1, while the cancer risks (CR) ranged from 8.41×10⁻⁸ to 2.35×10⁻⁶. Notably, during winter, the CR at 4 locations slightly exceeds 1×10⁻⁶, indicating a potential carcinogenic risk. Conclusion The overall pollution level of PCDD/Fs in PM_2.5 in Pudong area is relatively low, but it shows clear seasonal patterns. Waste incineration and traffic are the main sources of PCDD/Fs in PM_2.5 in the area. Although the cancer risk of exposure to PCDD/Fs in PM_2.5 for children or adults is relatively low, there is a certain risk at some locations in winter, necessitating additional monitoring and control.

Objective To investigate the effect of microglial derived extracellular vesicles on neuronal damage in the context of heat stress.Methods After BV2 microglial cells were exposed to heat stress,the supernatant was collected and subjected to ultracentrifugation at different speeds to obtain large and small vesicles,respectively.Nano Particle Tracking and Zeta Potential Distribution Analyzer was used to measure and analyze the size distribution of the large vesicles and small vesicles.Western blotting was used to detect the expression of specific vesicle surface markers,TSG101,CD63 and flotillin-1.Microglial extracellular vesicles were labeled with PKH67 dye and then co-cultured with N2a cells to examine the uptake by capacity the neurons.After large and small vesicles derived from microglia after heat stress stimulation were co-cultured with N2a cells,respectively,CCK-8 assay,lactate dehydrogenase (LDH)assay,Trypan blue staining and TUNEL assay were employed to evaluate heat stress induced neuronal damage.Results The small vesicles were in a particle size of 30～120 nm,and highly expressed TSG101 and CD63,whereas the large vesicles,in a size of 90～1000 nm,highly expressed flotillin-1.The BV2-derived extracellular vesicles could be taken up by N2a cells and were proved to be involved in the modulation of N2a cell injury caused by heat stress.CCK-8 assay showed that both large and small vesicles of microglial cells inhibited the viability of N2a cells after heat exposure (P<0.05).The results of LDH assay,Trypan blue staining and TUNEL assay showed that both large (P<0.05)and small vesicles (P<0.01)significantly enhanced the LDH release,blue stain intensity and apoptosis of N2a cells after heat exposure,and the release,intensity and apoptosis were stronger in the cells treated with small vesicles than those group of large vesicles.Conclusion Microglia aggravate heat stress-induced neuronal damage through releasing extracellular vesicles.

OBJECTIVE: To investigate the prevalence, risk factors, duration and outcome of delirium in intensive care unit (ICU) patients. METHODS: A prospective observational study was conducted for critically ill patients admitted to the department of critical care medicine, the Affiliated Hospital of Guizhou Medical University from September to November 2021. Delirium assessments were performed twice daily using the Richmond agitation-sedation scale (RASS) and confusion assessment method of ICU (CAM-ICU) for patients who met the inclusions and exclusion criteria. Patient's age, gender, body mass index (BMI), underlying disease, acute physiologic assessment and chronic health evaluation (APACHE) at ICU admission, sequential organ failure assessment (SOFA) at ICU admission, oxygenation index (PaO₂/FiO₂), diagnosis, type of delirium, duration of delirium, outcome, etc. were recorded. Patients were divided into delirium and non-delirium groups according to whether delirium occurred during the study period. The clinical characteristics of the patients in the two groups were compared, and risk factors for the development of delirium were screened using univariate analysis and multivariate Logistic regression analysis. RESULTS: A total of 347 ICU patients were included, and delirium occurred in 57.6% (200/347) patients. The most common type was hypoactive delirium (73.0% of the total). Univariate analysis showed statistically significant differences in age, APACHE score and SOFA score at ICU admission, history of smoking, hypertension, history of cerebral infarction, immunosuppression, neurological disease, sepsis, shock, glucose (Glu), PaO₂/FiO₂ at ICU admission, length of ICU stay, and duration of mechanical ventilation between the two groups. Multivariate Logistic regression analysis showed that age [odds ratio (OR) = 1.045, 95% confidence interval (95%CI) was 1.027-1.063, P < 0.001], APACHE score at ICU admission (OR = 1.049, 95%CI was 1.008-1.091, P = 0.018), neurological disease (OR = 5.275, 95%CI was 1.825-15.248, P = 0.002), sepsis (OR = 1.941, 95%CI was 1.117-3.374, P = 0.019), and duration of mechanical ventilation (OR = 1.005, 95%CI was 1.001-1.009, P = 0.012) were all independent risk factors for the development of delirium in ICU patients. The median duration of delirium in ICU patients was 2 (1, 3) days. Delirium was still present in 52% patients when they discharged from the ICU. CONCLUSIONS The prevalence of delirium in ICU patients is over 50%, with hypoactive delirium being the most common. Age, APACHE score at ICU admission, neurological disease, sepsis and duration of mechanical ventilation were all independent risk factors for the development of delirium in ICU patients. More than half of patients with delirium were still delirious when they discharged from the ICU.
Humans ; Prevalence ; Critical Care ; Risk Factors ; Sepsis ; Intensive Care Units