Objective To investigate the inhibitory effects of magnesium citrate(MgCit)on oxidative stress in chronic renal failure(CRF).Methods SD rats were divided into CRF model group,MgCit groups(375 and 750 mg/kg),normal control group,and MgCit control group(750 mg/kg).The morphology of mitochondria in thoracic artery vascular smooth muscle cells(VSMCs)was observed by transmission electron microscopy.The content of superoxide dismutase(SOD)and malonaldehyde(MDA)in rat aorta and plasma was detected by the kit.The VSMCs were divided into normal control group,CRF model group,and MgCit groups(1.5 and 3 mmol/L).The levels of superoxide anion(DHE)and apoptosis were quantitatively detected by flow cytometry.Results Compared with the control groups,the mitochondria were swollen and the cristae fractured or disappeared in the model group;MgCit intervention could reduce mitochondrial swelling,but not cristae fracture.In the model group,SOD level in aorta and plasma decreased(P＜0.05)while MDA level increased(P＜0.05).MgCit intervention could increase SOD in aorta and plasma,but decrease MDA level(P＜0.05).In the CRF environment,the DHE content of VSMCs and apoptosis in CRF model group increased(P＜0.05).MgCit intervention could decrease DHE content and inhibit apoptosis(P＜0.05).Conclusion MgCit inhibits oxidative stress levels in vivo and in vitro in CRF.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To explore the predictive value of CXC chemokine receptor 2(CXCR2)and Zonula occluden-1(ZO-1)for postoperative cerebral vasospasm in subarachnoid hemorrhage(SAH)patients with ruptured intracranial aneurysm.Methods A total of 215 SAH patients with ruptured intracranial aneurysm admitted to our hospital between May 2020 and October 2023 were recruited,and according to occurrence of postoperative cerebral vasospasm or not,they were separated into a spasm group(70 cases)and a non-spasm group(145 cases).The spasm group was further divided into mild,moderate and severe subgroups(14,38 and 18 cases,respectively).ELISA was applied to detect the serum levels of CXCR2 and ZO-1;Spearman and Pearson corre-lation analyses,multivariate logistic regression analysis,and ROC curve analysis were applied to test the correlation,influencing factors,and predictive value of indicators,and their AUC values were calculated.Results The spasm group had significantly higher CXCR2 and ZO-1 levels,inci-dence of intracranial hemorrhage,and larger proportions of Glasgow coma scale(GCS)score of 3-8 at admission,Hunt-Hess grade Ⅲ,and Fisher grades m and Ⅳ than the non-spasm group(P＜0.01).Intracranial hemorrhage volume,Hunt-Hess grade and Fisher grade were positively correlated with CXCR2 and ZO-1 levels,and the GCS score at admission was negatively correlated with the levels of the two indicators in the SAH patients with ruptured intracranial aneurysm(P＜0.01).CXCR2 and ZO-1 were independent risk factors for postoperative cerebral vasospasm in these patients(P＜0.01).The AUC value of CXCR2,ZO-1 and their combination in predicting postoperative cerebral vasospasm was 0.839(95％CI:0.780-0.898),0.813(95％CI:0.750-0.876),and 0.910(95％CI:0.869-0.951),with the combination showing better predictive per-formance(Z=2.391,Z=3.266,P＜0.05).The serum levels of CXCR2 and ZO-1 in the severe subgroup were significantly higher than those in the moderate subgroup and then followed by the mild subgroup in order,with statistical differences(P＜0.01).Conclusion Serum CXCR2 and ZO-1 levels are associated with postoperative cerebral vasospasm in SAH patients with ruptured intracranial aneurysm,and can be used as potential biomarkers for prognosis prediction.

Objective:To develop a risk prediction model for early cardiac arrest in emergency sepsis utilizing a machine learning algorithm to enhance the quality and efficiency of patient treatment.Methods:This study focused on patients with sepsis who received treatment at the emergency room of the First Medical Center of Chinese PLA General Hospital from January 1, 2020 to June 1, 2023. The basic clinical characteristics such as vital signs and laboratory results were collected. Patients who fulfilled the specified inclusion criteria were allocated randomly into a training group and a testing group with a ratio of 8:2. A CatBoost model was constructed using Python software, and the prediction efficiency of the model was assessed by calculating the area under the receiver operating characteristic curve (AUC). Furthermore, the performance of the model was compared to that of other widely employed clinical scores.Results:This study included a cohort of 2 131 patients diagnosed with sepsis, among whom 449 experienced cardiac arrest. The CatBoost model demonstrated an AUC of 0.760, surpassing other scores. Notably, the top 10 predictors in the model were identified as age, lactate, interleukin -6, oxygen saturation, albumin, N-terminal pro-B-type natriuretic peptide, potassium, sodium, creatinine, and platelets.Conclusions:The utilization of this machine learning algorithm-based prediction model offers a more precise basis for predicting cardiac arrest in emergency sepsis patients, thereby potentially improving the treatment efficacy for this disease.

Objective:This paper is to propose a calibration model based on sine function which enables more choices to determine the functional relationship between the absorbance and the concentration of the tested substance.Methods:This paper uses Taylor series expansion and Levenberg-Marquardt to obtain the optimal parameters for the Sine model and then summarizes the characters of the Sine model. On the basis of these characters, this paper compares and evaluates the experimental data processed by the Sine model from four aspects: correctness, precision, linearity and correlation.Results:The generated sine function calibration model achieved deviations within ±3% of the national standard substance, precision ( CV%) less than 2%, and a linear correlation coefficient greater than 0.990 within the measurement range of 32-710 mg/L. The correlation coefficients between the sine model and other well-performing linear calibration models for 104 clinical samples were all greater than 0.990. Conclusions:The performance evaluation of the prealbumin assay kit using the sine function calibration model meets industry standards and shows good correlation with the results of clinical sample measurements. This indicates that the sine function calibration model can serve as a new calibration model for in vitro diagnostic research and clinical applications.

Eucommiae Folium(EF),a traditional Chinese medicine,has been used to treat secondary hypertension,including renal hypertension and salt-sensitive hypertension,as well as hypertension caused by thoracic aortic endothelial dysfunction,a high-fat diet,and oxidized low-density lipoprotein.The antihyperten-sive components of EF are divided into four categories:flavonoids,iridoids,lignans,and phenyl-propanoids,such as chlorogenic acid,geniposide acid and pinoresinol diglucoside.EF regulates the occurrence and development of hypertension by regulating biological processes,such as inhibiting inflammation,regulating the nitric oxide synthase pathway,reducing oxidative stress levels,regulating endothelial vasoactive factors,and lowering blood pressure.However,its molecular antihypertensive mechanisms are still unclear and require further investigation.In this review,by consulting the relevant literature on the antihypertensive effects of EF and using network pharmacology,we summarized the active ingredients and pharmacological mechanisms of EF in the treatment of hypertension to clarify how EF is associated with secondary hypertension,the related components,and underlying mechanisms.The results of the network pharmacology analysis indicated that EF treats hypertension through a multi-component,multi-target and multi-pathway mechanism.In particular,we discussed the role of EF tar-gets in the treatment of hypertension,including epithelial sodium channel,heat shock protein70,rho-associated protein kinase 1,catalase,and superoxide dismutase.The relevant signal transduction path-ways,the ras homolog family member A(RhoA)/Rho-associated protein kinase(ROCK)and nicotinamide adenine dinucleotide phosphate(NADPH)oxidase/eNOS/NO/Ca2+pathways,are also discussed.

Objective: To create a model for early prediction of essential hypertension (EH) based on the TreeNet algorithm, so as to provide a tool for early monitoring of EH. Methods: The health examination data were collected from individuals receiving health examinations in Hangzhou Haiqin Health Examination Center or Shanghai Yibao Health Management Co., Ltd from 2014 to 2016, and a predictive model for EH was created based on the TreeNet algorithm. The effectiveness of the model for early prediction of EH was evaluated using root mean square error (RMSE), mean absolute deviation (MAD), coefficient of determination (R2) and receiver operating characteristic (ROC) curve. Results: A total of 12 variables were included in the model, and the highest contributing variable was body mass index (BMI), followed by BMI difference, two-year BMI difference, two-year triglyceride (TG) difference, two-year total cholesterol (TC) difference, high-density lipoprotein cholesterol (HDL-C) in 2014, TG in 2014, low-density lipoprotein cholesterol (LDL-C) in 2014, body weight in 2015, fasting blood glucose in 2015, TG in 2015, urea nitrogen difference and platelet in 2015. The highest predictive accuracy was 100.00%, and the lowest was 56.89%. The risk of EH significantly increased among individuals with BMI in 2015 of >25 kg/m2, two-year BMI difference of >0.5 kg/m2, two-year TG difference ranging from 1.3 to 3.3 mmol/L, TC in 2015 of 2.0 to 2.4 mmol/L and HDL-C in 2014 of <0.52 mmol/L. The model presented RMSE of 0.082, MAD of 0.064, R2 of 0.811, area under the ROC curve of 0.788 (95%CI: 0.741-0.815), sensitivity of 69.05% and specificity of 66.21% for prediction of EH Conclusion The TreeNet algorithm-based model is effective for early monitoring of high-risk individuals for EH.

Objective:To explore the effect of eCASH nursing model on the prevention of delirium and quality of care for patients with coronary heart disease in ICU after percutaneous coronary intervention (PCI) .Methods:A total of 188 patients with coronary heart disease who underwent PCI in Henan Provincial People's Hospital from January 2019 to December 2020 were selected by the convenient sampling method and they were admitted to ICU after surgery. Patients admitted from January to December 2019 were set as the control group ( n=94) and received routine care. Patients admitted from January to December 2020 were set as the observation group ( n=94) and received eCASH nursing mode. The incidence of delirium [Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) ], hospitalization (bed time, ICU stay time, total length of stay) , nursing quality (Inpatient Nursing Job Satisfaction Scale) and complications during hospitalization were compared between the two groups. Results:The incidence of delirium, bed time, length of stay in ICU and total length of stay in observation group were lower than those in control group and the score of Inpatient Nursing Job Satisfaction Scale was lower than that in control group, and the differences were statistically significant ( P<0.05) . During hospitalization, there was no statistically significant difference in the incidence of puncture site hematoma, skin blister, infection and limb venous thrombosis between 2 groups ( P>0.05) . The incidence of urinary retention in observation group was lower than that in control group, and the difference was statistically significant ( P<0.05) . Conclusions:The eCASH nursing mode can help ICU patients with coronary heart disease to prevent delirium after PCI, shorten the length of hospital stay, improve quality of nursing and help to reduce complications during the hospital stay.

【Objective】 To investigate the negative emotions among university students during home quarantine under the epidemic of coronavirus disease 2019 (COVID-19) so as to provide scientific basis for psychological counseling. 【Methods】 We conducted an online questionnaire survey to collect 405 undergraduates’ and postgraduates’ DASS-21 scale scores and responses to epidemic prevention knowledge, and analyzed the university students’ negative emotions during the epidemic and influencing factors. 【Results】 Of the 405 students surveyed, 178 individuals (44.0%) had depression, 171(42.2%) felt anxious, and 119(29.4%) felt stressed. Individuals in the DASS21+ group spent much time on entertainment on the cell phone daily than those in the DASS21- group (P<0.001), and the degree of impact by COVID-19 on daily life was significantly higher (P<0.001). Correlation analysis showed that entertainment time on the cell phone, the severity of COVID-19, and the impact of the epidemic were positively related to DASS-21 scores, with correlation coefficients of 0.231, 0.143 and 0.259, respectively (all P<0.01). Binary logistic regression analysis found that mobile entertainment time for over 5 hours per day (OR=3.370, 95% CI: 1.369-8.294, P=0.008) was a risk factor for negative emotions during quarantine at home. 【Conclusion】 During quarantine at home in the epidemic of COVID-19, nearly half of university students are prone to breed negative emotions, like depression, anxiety or stress, which may be related to long-term mobile phone entertainment.

Objective: To establish a quantitative assay of serum Golgi protein 73 (GP73) using xMAP technology and evaluate its performance. Methods: Monoclonal antibodies against GP73 were prepared and purified, and antibody pair screening was performed by double-antibody sandwich enzyme-linked immunosorbent assay. The screened antibodies were used to construct a Luminex liquid chip detection system, and the analysis performance of the detection system was evaluated. The serum levels of GP73 were detected in 90 clinical samples from healthy controls and patients with chronic hepatitis B infection (CHB) and hepatocellular carcinoma (HCC). Results: Five anti-GP73 monoclonal antibodies were prepared and purified, and 5 antibody pairs were successfully screened. The Luminex liquid chip detection system of GP73 was successfully constructed using 8F10D1 and 10B9F11 antibody pairs. The analytical performance evaluation showed that the sensitivity of this system was 0.25 ng/ml and the dynamic range was 0.25-100 ng/ml. No cross reactivity was observed. The intra- and inter-assay variation for GP73 was <8% and <11%, respectively. The recovery was 83%-92%. The linear regression equation was y=1.141x+ 6.436 (r²=0.998 4, P<0.001). The GP73 concentrations in the serum samples of healthy control, CHB group, and HCC group were 42.8 (38.68, 55.90) ng/ml, 61.49 (43.59, 81) ng/ml, and 122.78 (49.36 liter, 264.55) ng/ml, respectively. The levels of GP73 in HCC group were significantly higher than those in CHB group and healthy controls (P<0.05). Moreover, the levels of GP73 in CHB group were significantly higher than those in healthy controls (P<0.05). Conclusions A liquid chip detection system of GP73 was successfully constructed. It provides a powerful tool for the clinical application of GP73 in the future.