Objective: To evaluate the intervention effectiveness of co-occurrence and prevention for myopia and obesity among primary and secondary school students, so as to provide a scientific basis for the development of comprehensive intervention measures in myopia and obesity. Methods: From September 2022 to September 2023, a cluster random sampling method was used to select 6 primary schools and 6 junior high schools from Tongzhou District, Beijing. Participants were randomly assigned to an intervention group (914 before intervention and 754 after intervention) and a control group (868 before intervention and 652 after intervention), with an expected duration of one academic year. Based on the RE-AIM framework, integrate resources from families, schools, communities, and medical institutions to develop a school-based intervention technology packagefor the co-occurrence and prevention of myopia and obesity in children. The intervention group received intervention according to the comprehensive intervention technology package, while the control group did not receive any intervention measures. Relevant health indicators during the baseline period and after intervention were measured and collected, and groups were compared by Chi quest test, t-test and Wilcoxon rank sum test. Results: After intervention, the uncorrected visual acuity of primary and secondary school students in the intervention group (4.79±0.30) and the control group (4.77±0.33) both decreased compared to those before intervention (4.80±0.30, 4.90±0.32) ( t =-7.00,-5.24); the decrease in uncorrected visual acuity in the intervention group was smaller than that in the control group( t =5.33)( P <0.01). After intervention, body mass index, waist circumference, hip circumference, and body fat percentage of primary and secondary school students in the intervention group decreased compared to those before intervention. However, the changes in these indicators were not statistically significant ( t/Z =-0.03, - 0.36，- 0.30，- 0.01, P >0.05); the above indicators in the control group increased compared to those before intervention, but only hip circumference and body fat percentage showed statistically significant changes ( t/Z =2.17, 2.62, P <0.05). After intervention, both the intervention group and the control group showed increases in systolic and diastolic blood pressure compared to those before intervention(intervention group: t =2.16,5.29; control group: t =6.84,5.07); the intervention group had lower systolic and diastolic blood pressure than the control group( t = -5.27 , -2.08)( P <0.05). After intervention, the intervention and the control groups had statistically significant differences in cognitive accuracy(92.48%, 69.33%) in terms of "outdoor exercise can prevent myopia" and "having 5 servings of adult fist sized vegetables and fruits every day" ( χ 2=6.30, 7.86, P <0.05). There was a statistically significant difference in the proportion of primary and secondary school students in the intervention group (40.98%) and the control group (35.43%) for "who did not drink sugary drinks for every day in the past 7 days" ( χ 2=4.32, P <0.05). After intervention, the intervention group and the control group showed increases in "school outdoor activity duration on school days" and "outdoor activity duration on rest days" compared to those before intervention ( t/Z =-13.32,-9.71;- 2.59，-2.69）；the behavior rate of "visual acuity measurement frequency at least once every 3 months" in the intervention group (46.68%) and the control group (52.76%) increased compared to those before intervention (36.43%, 44.01%), and the increases in the intervention group were greater than that in the control group ( χ 2=17.52,11.08) ( P <0.05). Conclusions Comprehensive intervention measures have significant intervention effects on controlling the occurrence and development of comorbidity of myopia and obesity in children. It could actively promote collaboration and cooperation among families, schools, communities and medical institutions to reduce the occurrence of myopia and obesity among primary and secondary school students.

Objective:To explore the application value of patient data-based real-time quality control (PBRTQC) in enhancing the effectiveness of internal quality control (IQC) management.Methods:From the PBRTQC real-time quality control intelligent monitoring platform integrated with the laboratory information system (LIS), a total of 35,631 test results of red blood cell (RBC) count, white blood cell (WBC) count, and dehydroepiandrosterone sulfate (DHEA-S) were collected from patients of the Department of General Xi'an Area Medical Laboratory Center from August 1, 2023, to April 1, 2024. The platform was used in patient data distribution characteristics test, EWMA real-time quality control chart procedure establishment, performance validation, effect evaluation, best procedure selection, and real-time operation. The performance evaluation indexes of the best PBRTQC procedure establishment, the cut-off limit range, weighting coefficient, cumulative mean, standard deviation (SD), coefficient of variation ( CV) of the EWMA real-time quality control chart, and the cumulative mean, SD, and CV of its internal quality control data in the same period were counted, and at the same time compared with the quality target (1/3TEa). Coefficient of variation analyses were performed to compare the quality control status of PBRTQC and conventional internal quality control in the presence of warning or alarm prompts based on quality control process records, and alarm messages. Results:The evaluation indexes of the optimal procedures for RBC count, WBC count, and DHEA-S were the probability of error detection (Ped) between 93%-97% and greater than 90%, the false positive rate (FPR) between 0.0%-0.5%, the false negative rate (FNR) between 3.0%-7.0%, and the average number of the patient sample until error detection (ANPed) between 5-11, which is in line with the optimal quality control efficacy quality requirements for the PBRTQC procedure. The patient outcome cut-off concentrations for the optimal procedure EWMA quality control charts ranged from RBC count (3.92-5.16)×10 12/L, WBC count (4.28-7.50)×10 9/L, and DHEA-S (830-2 160) μg/L; (2 160-4 210) μg/L. The weighting coefficients were 0.05, 0.03, and 0.03, respectively. The real-world application of the EWMA real-time quality control charts showed stable and excellent analytical performance of the measurement system, such as out-of-control alarm: RBC count, 1 true alarm, Ped of 95.85%, and FPR of 0%. The cumulative CV of EWMA was less than the quality target; the cumulative CV of DHEA-S was 7.66% and 9.47%, respectively, and the cumulative CV of low level was greater than the quality target (8.33%), and the cumulative CV of high and low levels were 4.12% and 6.25%. Conclusion:The PBRTQC EWMA method can monitor the patient data - in real-time and continuous way. It can also dynamically identify and provide early indication of small changes in analytical performance during the analysis process, and can be used as a supplement to quality control products to improve the efficacy of laboratory quality management.

Objective:To construct and validate a nomogram model for predicting the risk of 28-day mortality in sepsis patients.Methods:A retrospective cohort study was conducted. 281 sepsis patients admitted to the department of intensive care unit (ICU) of the 940th Hospital of the Joint Logistics Support Force of PLA from January 2017 to December 2022 were selected as the research subjects. The patients were divided into a training set (197 cases) and a validation set (84 cases) according to a 7∶3 ratio. The general information, clinical treatment measures and laboratory examination results within 24 hours after admission to ICU were collected. Patients were divided into survival group and death group based on 28-day outcomes. The differences in various data were compared between the two groups. The optimal predictive variables were selected using Lasso regression, and univariate and multivariate Logistic regression analyses were performed to identify factors influencing the mortality of sepsis patients and to establish a nomogram model. Receiver operator characteristic curve (ROC curve), calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) were used to evaluate the nomogram model.Results:Out of 281 cases of sepsis, 82 cases died with a mortality of 29.18%. The number of patients who died in the training and validation sets was 54 and 28, with a mortality of 27.41% and 33.33% respectively. Lasso regression, univariate and multivariate Logistic regression analysis screened for 5 independent predictors associated with 28-day mortality. There were use of vasoactive drugs [odds ratio ( OR) = 5.924, 95% confidence interval (95% CI) was 1.244-44.571, P = 0.043], acute physiology and chronic health evaluation Ⅱ (APACHEⅡ: OR = 1.051, 95% CI was 1.000-1.107, P = 0.050), combined with multiple organ dysfunction syndrome (MODS: OR = 17.298, 95% CI was 5.517-76.985, P < 0.001), neutrophil count (NEU: OR = 0.934, 95% CI was 0.879-0.988, P = 0.022) and oxygenation index (PaO 2/FiO 2: OR = 0.994, 95% CI was 0.988-0.998, P = 0.017). A nomogram model was constructed using the independent predictive factors mentioned above, ROC curve analysis showed that the AUC of the nomogram model was 0.899 (95% CI was 0.856-0.943) and 0.909 (95% CI was 0.845-0.972) for the training and validation sets respectively. The C-index was 0.900 and 0.920 for the training and validation sets respectively, with good discrimination. The Hosmer-Lemeshoe tests both showed P > 0.05, indicating good calibration. Both DCA and CIC plots demonstrate the model's good clinical utility. Conclusions:The use of vasoactive, APACHEⅡ score, comorbid MODS, NEU and PaO 2/FiO 2 are independent risk factors for 28-day mortality in patients with sepsis. The nomogram model based on these 5 indicators has a good predictive ability for the occurrence of mortality in sepsis patients.

Objective:To construct and validate a nomogram model for predicting sepsis-associated acute kidney injury (SA-AKI) risk in intensive care unit (ICU) patients.Methods:A retrospective cohort study was conducted. Adult sepsis patients admitted to the department of ICU of the 940th Hospital of Joint Logistic Support Force of PLA from January 2017 to December 2022 were enrolled. Demographic characteristics, clinical data within 24 hours after admission to ICU diagnosis, and clinical outcomes were collected. Patients were divided into training set and validation set according to a 7∶3 ratio. According to the consensus report of the 28th Acute Disease Quality Initiative Working Group (ADQI 28), the data were analyzed with serum creatinine as the parameter and AKI occurrence 7 days after sepsis diagnosis as the outcome. Lasso regression analysis and univariate and multivariate Logistic regression analysis were performed to construct the nomogram prediction model for SA-AKI. The discrimination and accuracy of the model were evaluated by the Hosmer-Lemeshow test, receiver operator characteristic curve (ROC curve), decision curve analysis (DCA), and clinical impact curve (CIC).Results:A total of 247 sepsis patients were enrolled, 184 patients developed SA-AKI (74.49%). The number of AKI patients in the training and validation sets were 130 (75.58%) and 54 (72.00%), respectively. After Lasso regression analysis and univariate and multivariate Logistic regression analysis, four independent predictive factors related to the occurrence of SA-AKI were selected, namely procalcitonin (PCT), prothrombin activity (PTA), platelet distribution width (PDW), and uric acid (UA) were significantly associated with the onset of SA-AKI, the odds ratio ( OR) and 95% confidence interval (95% CI) was 1.03 (1.01-1.05), 0.97 (0.55-0.99), 2.68 (1.21-5.96), 1.01 (1.00-1.01), all P < 0.05, respectively. A nomogram model was constructed using the above four variables. ROC curve analysis showed that the area under the curve (AUC) was 0.869 (95% CI was 0.870-0.930) in the training set and 0.710 (95% CI was 0.588-0.832) in the validation set. The P-values of the Hosmer-Lemeshow test were 0.384 and 0.294, respectively. In the training set, with an optimal cut-off value of 0.760, a sensitivity of 77.5% and specificity of 88.1% were achieved. Both DCA and CIC plots demonstrated the model's good clinical utility. Conclusion:A nomogram model based on clinical indicators of sepsis patients admitted to the ICU within 24 hours could be used to predict the risk of SA-AKI, which would be beneficial for early identification and treatment on SA-AKI.

Objective:To analyze the clinical characteristics and influencing factors of vascular involvement in Beh?et′s Disease (BD) to improve and provideunderstanding of insights for clinicians to better understand this condition.Methods:Clinical data from 220 BD patients admitted to the First Affiliated Hospital of Guangxi Medical University from January 2012 to May 2022 were collected. Clinical manifestations and laboratory findings were compared between BD patients with and without vascular involvement, as well as between those with improved conditions and those with progressive conditions. Binary logistic regression was used to analyze the influencing factors.Results:①The average age of the 220 BD patients was 36.5±15.3 years. Among them, 23 patients (10.5%) had vascular involvement, including 20 males (87.0%).②Compared to BD patients without vascular involvement, those with vascular involvement had significantly higher rates of smoking [6.1%(12/197) vs.34.8%(8/23), χ2=17.19, P<0.001], cardiac involvement [1.5%(3/197) vs. 13.0%(9/23), χ2=6.42, P=0.011], and elevated C-reactive protein(CRP) levels (78.3% vs. 56.3%, χ2=4.08, P=0.043).③ Among BD patients with vascular involvement, 11 cases (47.8%) had venous lesions, and 20 cases (87.0%) had arterial lesions, with 8 cases (34.8%) having both venous and arterial involvement. The most common type of vascular involvement was arterial dilatation (11 cases), mainly aneurysms (10 cases), and deep venous thrombosis of the lower extremities (7 cases).④The 23 BD patients with vascular involvement were followed up for an average of 18.3 months. Among them, 16 patients (69.6%) showed stable improvement, while 7 patients (30.4%) experienced disease progression, including 4 deaths (1 male and 3 females). A total of 91.3% (21/23) of the patients received glucocorticoid therapy. Immunosuppressive therapy was administered to 82.6% (19/23) of the patients, with 65.2% (10/23) receiving with cyclophosphamide and 43.5% receiving with thalidomide. Additionally, 13% (3/23) of the patients were treated with cyclosporine and methotrexate, respectively, and 8.7% (2/23) were treated with received mycophenolate mofetil. Anticoagulant therapy was given to 21.7% (5/23) of the patients, using either warfarin or low molecular weight heparin. Biologic therapy was administered to 17.4% (4/23) of the patients, and surgical intervention was performed in 43.5% (10/23) of the patients. ⑤Binary logistic regression analysis identified male gender [ OR(95% CI)=5.70(1.60, 20.90), P=0.009] as an indepe-ndent risk factor for vascular involvement in BD. Conclusion:The incidence of vascular involvement in BD is 10.5%, with a higher prevalence in males. Arterial involvement is more common than venous involvement, with arterial aneurysms being the most common manifestation. Clinicians should pay attention to CRP and total cholesterol levels in BD patients.

Objective To investigate the effect of aspirin on oxygen glucose deprivation/reoxygen-ation(OGD/R)-induced injury in mouse hippocampal neuron HT22 cells by regulating ferropto-sis.Methods HT22 cells were randomly divided into control group,model group,low-,medium-and high-dose groups(n=3).Cellular OGD/R injury model was established in the other 4 groups except the control group.Aspirin of 100,200 and 400 μg/ml was used to treat the cells from the above 3 treatment groups,respectively.Cell viability was detected by CCK-8 assay.The contents of TNF-α,IL-1β and IL-6 were detected by ELISA.The contents of SOD,catalase,glutathione,reac-tive oxygen species(ROS),lactate dehydrogenase(LDH),Fe2+and MDA were detected by the corresponding reagent kits.Western blot analysis was performed to determine the expression of solute carrier family 7 members 11(SLC7A11),glutathione peroxidase 4(GPX4)and Acyl-CoA synthase long chain member 4(ACSL4).Results The model group had significantly lower cell vi-ability than the control group(0.49±0.07 vs 1.00±0.12,P＜0.01),but the viability of the low-,medium-and high-dose groups were higher than that of the model group(0.72±0.10 vs 0.49±0.07,P＜0.05;0.87±0.10 vs 0.49±0.07,P＜0.01;0.93±0.07 vs 0.49±0.07,P＜0.01).Compared with the control group,the contents of TNF-α,IL-1β,IL-6,ROS,LDH,Fe2 and MDA and the protein expression of ACSL4 were significantly increased,while the contents of SOD,catalase,glutathione and protein levels of SLC7A11 and GPX4 were obviously decreased in the model group(P＜0.01).Compared with model group,aspirin treatment reversed all above indicators no matter its doses(P＜0.05,P＜0.01).Conclusion Aspirin alleviates OGD/R-induced neuronal in-jury through regulating ferroptosis in mouse neuron HT22 cells in a dose-dependent manner.

Objective:To investigate the risk factors for high-output stoma (HOS) in patients undergoing rectal cancer radical resection combined with terminal ileostomy.Methods:A retrospective analysis was conducted on the medical records of 104 patients who underwent radical resection for rectal cancer combined with terminal ileostomy at Northern Jiangsu People′s Hospital from January 2020 to December 2022. Among them, 77 were male and 27 were female, with ages ranging from 31 to 84 years and an average age of 62.60 years. HOS was defined as an average stoma output ≥1500 mL/24 h within 3 days after resuming oral intake. Based on the presence of HOS post-surgery, patients were divided into the HOS group ( n=29) and the non-HOS group ( n=77). The two groups were compared based on gender, age, body mass index (BMI), preoperative albumin, hemoglobin, fasting blood glucose, surgery duration, surgical approach, intraoperative blood loss, postoperative albumin, hemoglobin, white blood cell count, and C-reactive protein (CRP). Data were analyzed using SPSS27.0. Continuous data were expressed as mean±standard deviation( ± s), and independent t-tests or non-parametric tests were used for group comparisons. Chi-square tests were used for categorical data, and logistic regression was employed to evaluate the influence of various factors on the occurrence of HOS. Results:There were no statistically significant differences between the two groups in terms of gender, preoperative albumin, hemoglobin, fasting blood glucose, surgery duration, surgical approach, intraoperative blood loss, postoperative albumin, hemoglobin, or white blood cell count ( P>0.05). Univariate logistic regression analysis indicated that older patients were more likely to develop HOS ( P=0.037, OR=1.047), those with lower BMI were at higher risk of HOS ( P<0.001, OR=0.448), and elevated postoperative CRP was associated with an increased likelihood of HOS ( P<0.001, OR=1.027). Multivariate logistic regression analysis showed that BMI ( OR=0.302, 95% CI: 0.164-0.555, P<0.001) and postoperative CRP ( OR=1.045, 95% CI: 1.023-1.068, P<0.001) were independent risk factors for the occurrence of HOS. Conclusion:Lower BMI and elevated postoperative CRP are significant independent risk factors for the development of HOS in rectal cancer patients.

The goal of Medical Immunology is to enable students to pay attention to integration of immunology theory with clini-cal practice,be familiar with professional English,consciously pay attention to cutting-edge knowledge,and can learn independently and lifelong.However,existing teaching models lack explanation of clinical disease related events,and arrangement of experimental content and projects is seriously disconnected from clinical practice,scientific research on solving clinical problems is clearly insuffi-cient.We established a"B to B"cycle model for immunology teaching by starting from clinical practical problems(Bedside),return to basic research(Bench),and then solve clinical problem(Bedside),which will comprehensively cultivate senior medical profession-als with clinical competence,scientific research thinking ability,innovative spirit,and international perspective.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.