Objective: Based on the theoretical framework of Risk Perception-Efficacy Appraisal-Behavioral Response, the study aims to explore the group heterogeneity in high temperature health risk perception and behavioral responses among college students in Chongqing, so as to provide a scientific basis for implementing differentiated health interventions. Methods: A multi stage cluster sampling method was used to select 856 students from five universities in Chongqing. Data were collected using a validated questionnaire. One way analysis of variance and independent samples t-test were used to analyze individual differences, Pearson correlation analysis was employed to examine relationships between variables, multiple linear regression was used to identify influencing factors, a structural equation model was constructed to validate the theoretical pathways, and the Bootstrap method was applied to test mediating effects. Results: In the risk perception dimension, the severity score of high temperature health hazards among college students (3.28±0.89) was higher than that of susceptibility score (2.94±0.93). Efficacy appraisal showed that the response efficacy score was the highest (3.91±0.81). In behavioral responses, adaptive behaviors were most prominent (5.43±2.75), while emergency preparedness behaviors were the lowest (2.71±1.33). The structural equation model validated the pathway of "threat appraisal → efficacy appraisal → behavioral response" ( χ 2/df=2.49, RMSEA =0.05). Self efficacy played a fully mediating role between threat appraisal and behavioral response, with a mediation effect value of 0.10 (95% CI =0.02-0.19). K means cluster analysis categorized the subjects into three groups, with the core barriers to behavior being economic constraints (22.3%), lack of motivation (34.8%), and insufficient cognition (34.1%), respectively. Conclusions Decision making regarding high temperature health behaviors among college students follows psychological pathway of "cognition-appraisal-action" with self efficacy serving as a key mediating variable driving behavioral change. Targeted interventions should be implemented for groups with different characteristics.

Objective To study the differences in living habit and blood biochemical indicators of male elderly people at different age groups in a"regional longevity"gathering area in Chongqing and the high fre-quency variation of mitochondrial DNA(mtDNA)in the elderly people(≥90 years old).Methods The male elderly people aged ≥60 years old in a"regional longevity"gathering area in Chongqing were randomly select-ed as the study subjects and divided into the group A(60-＜70 years old),group B(70-＜80 years old),group C(80-＜90 years old)and group D(≥90 years old).The differences of vegetable and fruit consump-tion,dairy bean consumption,outdoor activities,sleep time and blood biochemical indexes were compared a-mong different age groups.Then peripheral blood in the above subjects was collected for extracting mtDNA and sequencing.The meaningful mtDNA mutations between the various groups and group D were found out by the bioinformatics analysis.Results There were no statistically significant differences in consumption of vegetables and fruits,consumption of dairy beans,outdoor activities and sleep duration among different age groups(P＞0.05).There were statistically significant differences in erythrocyte and creatinine of blood bio-chemical indexes among the partial groups(P＜0.05).The mitochondria mutation analysis found 4 105 mtD-NA mutation sites,mainly single base mutation,the most common mutation was T＞C(22.57％),followed by C＞T(19.82％)and A＞G(19.36％).The average mutation rate of mtDNA in the group D was the high-est(8.392％),in which 3 mtDNA variants were found to have significant differences between different age groups and group D(P＜0.1),including mtDNA5396-5411CAACGTAAA＞C,mtDNA5414A＞T and mtD-NA5417G＞T.Conclusion There was no significant difference in the living habits of male elderly people of different ages.The mutation rate of mtDNA in the advanced age group was the highest.mtDNA5396-5411CAACGTAAA＞C,mtDNA5414A＞T and mtDNA5417G＞T variations may be related to"regional lon-gevity".

This article provides an interpretive review of the "2023 ACC/AHA/ACCP/HRS guideline for the diagnosis and management of atrial fibrillation", which was updated and published by the American College of Cardiology (ACC), the American Heart Association (AHA), the American College of Chest Physicians (ACCP), and the Heart Rhythm Society (HRS) based on the latest clinical evidence. It delves into the classification and management strategies for atrial fibrillation (AF), grounded in the most current evidence-based medical research. The guideline offers significant updates in various aspects such as the definition and staging of AF, clinical evaluation and treatment, modification of risk factors, prevention of thromboembolism, and management of specific populations. Notably, the introduction of a new staging model for AF and corresponding management strategies stands out, underscoring the importance of prevention and early intervention. This article focuses on the three pillars of integrated AF management—stroke risk assessment, modification of risk factors, and management of specific patient groups, in addition to rate and rhythm control, analyzes their substantial significance in clinical practice and guides clinicians in providing more precise treatment.

Objective To investigate the effect of lifestyle on high-altitude de-adaptation(HADA)through questionnaire during the whole process of entering and existing the plateau in order to provide scientific basis for prevention and treatment of the disease.Methods A case-control trial was conducted on 1 751 participants from a certain unit who entered and existed the plateau together during 2021 and 2022.In 1 to 2 weeks after they returning from the plateau,they were surveyed,and finally,1 544 valid questionnaires were obtained.According to the score of the plateau deacclimation scale ≥6 or not,the subjects were divided into plateau deacclimation group(n=192)and control group(n=1 352).They were further surveyed for their lifestyles and general conditions.Rank sum test was used to analyze the differences of lifestyles between the 2 groups,and unconditional logistic regression analysis was employed to identify the independent risk factors of HADA.Results Hair loss(19.95％),drowsiness(16.58％)and tiredness(12.31％)were the most common symptoms of HADA.High salt diet before entering the plateau,smoking at the plateau,altitude sickness(OR=1.893,95％CI:1.142～3.137,P=0.013),leaving the plateau by plane(OR=1.688,95％CI:1.082～2.634,P=0.021),and drinking much tea,excessive exercise intensity and insufficient sleep after leaving the plateau were independent risk factors for HADA.Conclusion Low salt diet before entering the plateau,active prevention for altitude sickness,smoking cessation at the plateau,taking a slower means of transportation to enter and leave the plateau,drinking less tea,moderate exercise intensity and keeping enough sleep after leaving the plateau can effectively reduce the risk of HADA.

Objective To investigate the differences in plasma metabolites between patients with altitude-related hypertension(ARH)and healthy individuals,and analyze the potential pathogenesis of ARH.Methods Convenient sampling was conducted on a unit of male healthy officers and soldiers who resident at altitude of＜500 m and migrated to an altitude of 4 200 m in July 2020.Twenty of them diagnosed with ARH were assigned into the ARH group,and another 30 non-ARH individuals served as the control group.Their blood pressure,body mass index(BMI),blood oxygen saturation,and heart rate were measured and recorded,and fasting venous blood samples were harvested to screen and identify plasma metabolites with ultra-high performance liquid chromatography-tandem mass spectrometry(UHPLC-MS/MS).Metabolite fingerprinting was performed using unsupervised Principal Component Analysis(PCA)and supervised Orthogonal Partial Least Squares Discrimination Analysis(OPLS-DA)models in order to assist in biomarker screening.The quality of the OPLS-DA model was assessed and validated to guarantee the stability and reliability of the model.Differential plasma metabolites were screened using independent sample t test and fold change(FC)analysis,and volcano plots were drawn.Finally,Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment pathway analysis was used to perform functional pathway enrichment and topological analysis on the screened differential metabolites.Results Compared to the control group,the ARH group showed significantly higher systolic and diastolic blood pressure and heart rate,and lower arterial oxygen saturation(P＜0.05).PCA analysis showed that 81.96％of the variance was explained in the positive ion mode and 79.25％in the negative ion mode,indicating significant metabolic differences between the 2 groups.OPLS-DA model analysis indicated that in the positive ion mode,PC1 explained 77.36％of the variance and PC2 explained 12.25％of the variance,with R2Y=0.96 and Q2Y=0.91;in the negative ion mode,PC1 explained 84.15％of the variance and PC2 explained 17.24％of the variance,with R2Y=0.99 and Q2Y=0.86.Inter-group difference exceeded 75％,and intra-group difference was less than 20％.The 7-fold cross-validation and 200 permutation test confirmed that the model was stable and reliable.In the positive ion mode,the Y-axis intercepts of the R2 and Q2 fitted lines were 0.58 and-0.48,respectively;in the negative ion mode,the Y-axis intercepts were 0.93 and-0.41,respectively.A total of 32 significantly different metabolites were screened out,including amino acids,nucleosides,fatty acids,and organic alkaloids.KEGG analysis revealed that among the 10 metabolic pathways,4 were amino acid metabolic pathways,with the aminoacyl-tRNA biosynthesis pathway having the most enriched metabolites.Conclusion Based on UHPLC-MS/MS technology,untargeted metabolomics analysis identifies 32 significantly different metabolites,which may serve as characteristic biomarkers for ARH,and the aminoacyl-tRNA biosynthesis pathway may be associated with the pathogenesis of ARH.

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 Evaluate the performance of the encephalon state index(ESI)in depth of anesthesia monitoring during clinical surgery,compared with the bispectral index(BIS).Methods ESI and BIS data were collected from 60 patients in a single-center clinical trial to compare their efficacy in measuring the depth of anesthesia.Results Consistency analysis revealed mean differences and standard deviations of-0.18±5.42 and-0.11±6.51 between ESI and BIS for awake and anesthetized states,respectively.Correlation analysis showed a correlation coefficient of 0.92 throughout the operative period.Prediction probability analysis indicated that both ESI and BIS had prediction probabilities of 0.97,effectively predicting anesthesia status.Conclusion ESI and BIS show good equivalence in monitoring depth of anesthesia during clinical surgery,which meet the requirements of clinical anesthesia.

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.

OBJECTIVE To analyze the influential factors on trough concentration （cmin） and area under the drug concentration time curve （AUC） of voriconazole （VRZ） in pediatric patients with thalassemia undergoing hematopoietic stem cell transplantation （HSCT）. METHODS A total of 60 pediatric patients with thalassemia undergoing HSCT who used VRZ for prevention or treatment of invasive fungal infection were collected in our hospital from January 2021 to January 2024. The plasma concentration of VRZ was measured by high-performance liquid chromatography and the AUC was calculated. The factors affecting cmin and AUC of VRZ were analyzed using multiple linear regression. RESULTS A total of 120 cases of VRZ cmin in 60 pediatric patients was obtained and 27 cases of VRZ AUC in 26 pediatric patients were obtained. The median concentration of VRZ cmin was 0.31 mg/L； 46 cases had a cmin in 0.5-5 mg/L（ 38.33%）， 2 cases had a cmin＞5 mg/L（ 1.67%）， and 72 cases had a cmin＜0.5 mg/L. The median AUC of VRZ was 11.68 mg·h/L. The patient’s body weight， HSCT postoperative days， lymphocyte count， and combined use of phenytoin sodium， tacrolimus or cyclosporine had significant effects on VRZ cmin （P＜0.05）. Lymphocyte count and combined use of phenytoin sodium had significant effects on VRZ AUC （P＜0.05）. CONCLUSIONS The body weight， HSCT postoperative days， lymphocyte count， and combined use of phenytoin sodium， tacrolimus or cyclosporine are independent factors affecting VRZ cmin. Lymphocyte count and combined use of phenytoin sodium are independent factors affecting VRZ AUC.