Objective To analyze the prevalence status of cardiometabolic risk factor (CMRF) and its aggregation among workers engaged in new forms of employment. Methods A total of 5 429 new employment workers (including couriers, online food delivery workers, and ride hailing drivers) who underwent health medical examinations at a tertiary hospital in Beijing City were selected as the research subjects using the judgment sampling method. Data on waist circumference, blood pressure, blood glucose, and blood lipid levels were collected to analyze their CMRF [central obesity, elevated blood pressure, elevated blood glucose, elevated triglycerides, and reduced high-density lipoprotein cholesterol (HDL-C)] and their aggregation (with ≥ 2 of the above 5 risk factors) status. Results The detection rates of central obesity, elevated blood pressure, elevated blood glucose, elevated triglycerides, and reduced HDL-C were 61.2%, 38.2%, 29.5%, 40.9% and 22.6%, respectively. The detection rates of CMRF aggregation was 57.8%. The result of multivariable logistic regression analysis showed that male, age ≥45 years, smoking, overweight, and obesity were risk factors for CMRF aggregation (all P<0.05). Conclusion The detection rate of CMRF and its aggregation among workers with new forms of employment in Beijing City is relatively high. Targeted prevention and control efforts should be strengthened for high-risk populations, especially males, workers aged ≥45 years, smokers, and those who are overweight or obese.

[Objective]To construct a prediction model for brucellosis by using a deep neural network algorithm to improve the early detection.[Methods]We collected the clinical data of 202 brucellosis patients and 319 non-brucellosis patients admitted to Hohhot Occupational Disease Prevention and Treatment Hospital in 2023,and analyzed data such as gender,age,blood routine indices and clinical diagnosis.A prediction model for brucellosis was constructed by using a deep neural network algorithm and optimized through 10-fold cross-validation.Performance metrics included sensitivity,false negative rate,specificity,false positive rate,accuracy,positive predictive value,negative predictive value,F1 score,and area under the receiver operating characteristic curve(AUC).The optimal model was interpreted by using SHapley Additive exPlanations(SHAP)to clarify decision-making logic and feature influencing mechanisms.[Results]Data visualization analysis revealed no significant difference between brucellosis and non-brucellosis groups.The optimal model demonstrated good performance:sensitivity(85.3%),specificity(92.1%),accuracy(89.5%),AUC(96.6%),95%CI(0.937,0.977).SHAP analysis identified age,platelet count,mean platelet volume,basophil ratio,red blood cell distribution width,and absolute basophil count as significant predictors of brucellosis.[Conclusions]The deep neural network prediction model constructed in this study has good performance and can provide reliable support for the early diagnosis,prevention and control of brucellosis.Identification of key brucellosis-related influencing features will help further understand the pathogenesis of the disease,and this model holds promise for broad clinical application in the future.

Objective:To evaluate the effect of trans-nasal humidified rapid insufflation ventilatory exchange (THRIVE) on the early postoperative atelectasis in patients undergoing prolonged non-intubated intravenous anesthesia for gastrointestinal endoscopic procedures.Methods:In this randomized double-blind controlled trial, 150 patients of either sex, aged 18-80 yr, with American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ and body mass index of 18-30 kg/m 2, scheduled for endoscopic mucosal resection of multiple colorectal polyps at Northern Jiangsu People′s Hospital Affiliated to Yangzhou University from February 18 to June 15, 2024, were divided into 2 groups ( n=75 each) using simple random allocation: THRIVE group (group T) and conventional oxygen therapy group (group C). In group T, the oxygen flow rate was 10 L/min before anesthesia induction and increased to 50 L/min after induction until the end of operation, and the inhaled oxygen concentration was 100%. Group C used conventional mask oxygen inhalation, with an oxygen flow rate of 10 L/min during anesthesia induction and maintenance. Lung ultrasonography was performed immediately before anesthesia induction and after the end of surgery, and the modified lung ultrasound score and diaphragm mobility during quiet breathing were recorded to assess the occurrence of atelectasis and diaphragmatic dysfunction. The lowest intraoperative SpO 2 value, adverse events during surgery and in the postanesthesia care unit (PACU), duration of PACU stay, adverse events within 7 days after operation, hospitalization duration, and satisfaction scores of both patients and endoscopists were recorded. Results:Compared with group C, the postoperative modified lung ultrasound score and incidence of atelectasis and diaphragmatic dysfunction were significantly decreased, the lowest intraoperative SpO 2 value was increased, the incidence of hypoxemia was decreased, the duration of PACU stay was shortened, and endoscopists′ satisfaction scores were increased ( P<0.05), and no statistically significant changes were observed in diaphragm mobility, incidence of other intraoperative adverse events, incidence of adverse events during PACU stay and within 7 days after operation, or patients′ satisfaction scores in group T ( P>0.05). Conclusions:THRIVE can reduce the risk of early postoperative atelectasis and intraoperative hypoxemia, thereby promoting postoperative recovery of patients undergoing gastrointestinal endoscopy under long-term non-intubated anesthesia.

Objective:To evaluate the effect of trans-nasal humidified rapid insufflation ventilatory exchange (THRIVE) on the early postoperative atelectasis in patients undergoing prolonged non-intubated intravenous anesthesia for gastrointestinal endoscopic procedures.Methods:In this randomized double-blind controlled trial, 150 patients of either sex, aged 18-80 yr, with American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ and body mass index of 18-30 kg/m 2, scheduled for endoscopic mucosal resection of multiple colorectal polyps at Northern Jiangsu People′s Hospital Affiliated to Yangzhou University from February 18 to June 15, 2024, were divided into 2 groups ( n=75 each) using simple random allocation: THRIVE group (group T) and conventional oxygen therapy group (group C). In group T, the oxygen flow rate was 10 L/min before anesthesia induction and increased to 50 L/min after induction until the end of operation, and the inhaled oxygen concentration was 100%. Group C used conventional mask oxygen inhalation, with an oxygen flow rate of 10 L/min during anesthesia induction and maintenance. Lung ultrasonography was performed immediately before anesthesia induction and after the end of surgery, and the modified lung ultrasound score and diaphragm mobility during quiet breathing were recorded to assess the occurrence of atelectasis and diaphragmatic dysfunction. The lowest intraoperative SpO 2 value, adverse events during surgery and in the postanesthesia care unit (PACU), duration of PACU stay, adverse events within 7 days after operation, hospitalization duration, and satisfaction scores of both patients and endoscopists were recorded. Results:Compared with group C, the postoperative modified lung ultrasound score and incidence of atelectasis and diaphragmatic dysfunction were significantly decreased, the lowest intraoperative SpO 2 value was increased, the incidence of hypoxemia was decreased, the duration of PACU stay was shortened, and endoscopists′ satisfaction scores were increased ( P<0.05), and no statistically significant changes were observed in diaphragm mobility, incidence of other intraoperative adverse events, incidence of adverse events during PACU stay and within 7 days after operation, or patients′ satisfaction scores in group T ( P>0.05). Conclusions:THRIVE can reduce the risk of early postoperative atelectasis and intraoperative hypoxemia, thereby promoting postoperative recovery of patients undergoing gastrointestinal endoscopy under long-term non-intubated anesthesia.

[Objective]To construct a prediction model for brucellosis by using a deep neural network algorithm to improve the early detection.[Methods]We collected the clinical data of 202 brucellosis patients and 319 non-brucellosis patients admitted to Hohhot Occupational Disease Prevention and Treatment Hospital in 2023,and analyzed data such as gender,age,blood routine indices and clinical diagnosis.A prediction model for brucellosis was constructed by using a deep neural network algorithm and optimized through 10-fold cross-validation.Performance metrics included sensitivity,false negative rate,specificity,false positive rate,accuracy,positive predictive value,negative predictive value,F1 score,and area under the receiver operating characteristic curve(AUC).The optimal model was interpreted by using SHapley Additive exPlanations(SHAP)to clarify decision-making logic and feature influencing mechanisms.[Results]Data visualization analysis revealed no significant difference between brucellosis and non-brucellosis groups.The optimal model demonstrated good performance:sensitivity(85.3%),specificity(92.1%),accuracy(89.5%),AUC(96.6%),95%CI(0.937,0.977).SHAP analysis identified age,platelet count,mean platelet volume,basophil ratio,red blood cell distribution width,and absolute basophil count as significant predictors of brucellosis.[Conclusions]The deep neural network prediction model constructed in this study has good performance and can provide reliable support for the early diagnosis,prevention and control of brucellosis.Identification of key brucellosis-related influencing features will help further understand the pathogenesis of the disease,and this model holds promise for broad clinical application in the future.

Objective To observe the value of anatomical characteristics of femoral intercondylar notch of knee joint for predicting non-contact anterior cruciate ligament tear(NC-ACLT).Methods MRI data of knee joint of 55 patients with NC-ACLT(NC-ACLT group)and 55 controls(control group)were retrospectively analyzed.The parameters of intercondylar notch,including depth,width,depth/width ratio,opening width,opening width index,area and width of the femoral condyle's outer edge at the same level were measured between groups,and the types of intercondylar notch(type A,U and W)were recorded.Univariate and multivariate logistic regression analysis were used to screen the independent impact factors of NC-ACLT.Receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the efficacy of each intercondylar notch parameter for predicting NC-ACLT.Results The depth and depth/width ratio of intercondylar notch in NC-ACLT group were both higher,while the opening width and opening width index of intercondylar notch in NC-ACLT group were both lower than those in control group(all P＜0.05).Multivariate logistic regression analysis revealed that the depth of intercondylar notch was an independent impact factors of NC-ACLT(P＜0.05).Taken 29.55 mm in depth of intercondylar notch,1.45 in depth/width ratio of intercondylar notch,21.15 mm in opening width of intercondylar notch and 0.29 in opening width index as the optimal cut-off value,respectively,the sensitivity of the above parameters for predicting NC-ACLT was 74.55％,58.18％,67.27％and 67.27％,the specificity was 69.09％,80.00％,61.82％and 78.18％,and the AUC was 0.720,0.713,0.652 and 0.710,respectively.Conclusion The anatomical characteristics of femoral intercondylar notch of knee joint could be used to predict NC-ACLT.The depth,depth/width ratio,opening width and opening width index of intercondylar notch could be used as predictive indicators.

Objective To understand the research situation of animal model of chronic heart failure(CHF)based on visualization software and bibliometrics methods,and to explore the research hotspots of animal models of CHF and guide the design of animal experiments and scientific research.Methods Literature related to animal model of CHF included in Web of Science core collection from January 1,2001 to October 10,2022 were retrieved.After reading the full text and obtaining the final included literature,VOSviewer and CiteSpace software were used to analyze the contents of institutions,journals and co-cited journals,authors and co-cited authors,keywords.Results A total of 961 papers were included,and the number of published papers increased steadily.The United States and China are the main research countries.Johns Hopkins University and Harvard University are major research institutions.The most frequently published and cited journals are AM J PHYSIOL-HEART C and CIRCULATION,etc..Schultz Harold D and Sabbah Hani N are more influential in author selection."Myocardial infarction","cardiac hypertrophy",and"rat"are the most frequent keywords,10 clusters and 18 emergent words were formed.Conclusion The research in this field is numerous,high quality but scattered.Commonly used animal models are rodents and dogs.The main modeling methods are surgery and drugs.The main pathological mechanisms are mainly myocardial hypertrophy,oxidative stress,and myocardial fibrosis.

Objective:To analyze the intervention effect of rehabilitation platform-based online psycho-education on patients with bipolar disorder (BD) in remission stage.Methods:In this randomized controlled study, 91 patients with BD in remission stage who attended the community health center in Xicheng District, Beijing from July to August 2021 were randomly divided into a test group (46 cases) and a control group (45 cases) according to a 1∶1 ratio using the random number table. Baseline data were collected from both groups, and the control group received conventional medication and community telephone follow-up, while the test group was given online mental health education in the form of a WeChat subscription number on this basis, including BD mental health education course push (twice a week) and disease self-management (daily recording of mood, sleep, medication, exercise and gratitude diary), and the intervention period was 6 months in both groups. During the intervention, one patient in the test group was admitted to hospital due to exacerbation of mental illness and the trial was terminated. A total of 90 cases were included in the study. The scores of Medication Adherence Rating Scale (MARS), Hamilton Depression Scale (HAMD), Young Mania Rating Scale (YMRS) and Perceived Devaluation-Discrimination Scale (PDD) were assessed at baseline, after 3 months and 6 months of intervention in both groups, respectively. And the differences in baseline data between the two groups were compared using two independent samples t test and χ2 test, and the repeated-measures ANOVA was used to compare the differences in MARS, HAMD, YMRS, and PDD scores between the two groups before and after the intervention, and to analyze the intervention effects of network mental health education based on the rehabilitation platform on patients in remission stage of BD. Results:After 6 months of intervention, MARS scores in the test group was significantly higher than that in the control group [(8.47±1.75) vs (7.47±1.85)], and was significantly higher than that at baseline (7.36±2.13) and after 3 months of intervention (8.04±1.68) (all P<0.05). YMRS and PDD scores in the test group were significantly lower than those at baseline after 3 and 6 months of intervention [YMRS, 2.0(1.0,4.0),2.0(0,3.0) vs 3.0(1.0,5.5); PDD, (31.18±4.65), (30.13±4.76) vs (32.51±4.51)] (all P<0.05); the differences in YMRS and PDD scores in the control group were not statistically significant (all P>0.05). There was no statistically significant difference in HAMD scores between the two groups before and after the intervention (all P>0.05). Conclusion:Combining mental health education based on rehabilitation platform with conventional medication and community management can significantly improve the medication compliance of patients with BD in remission stage, and improve their manic symptoms and reduce the stigma of the disease.

Objective:To evaluate the clinical outcomes of excimer laser atherectomy (ELA) in the treatment of diabetic foot with below-the-knee(BTK) lesions.Methods:The clinical data of 11 patients with diabetic foot with BTK lesions who underwent ELA at Department of Vascular Surgery,Zhongshan Hospital of Fudan University and Department of Vascular and Wound Treatment Center,Jinshan Hospital of Fudan University from September 2019 to May 2021 were retrospectively analyzed.There were 10 males and 1 female,aged 70.5 years(range:41 to 83 years).There were 20 lesions in 12 limbs,including 19 chronic total occlusion.All of the limbs were classified as Rutherford class 5 and suffered ulceration.The surgical efficacy,complications and ankle brachial index(ABI) after operation were record.Results:All patients underwent the operation successfully,the technical success rate was 12/12.No distal embolization,flow-limiting dissection,perforation or bailout stenting was occurred.The follow-up period was 8.2 months(range:3 to 13 months).The ABI increased from 0.58(range:0.24 to 1.57) before operation to 0.88(range:0.68 to 1.05) after operation.At 3 months after the operation,1 limb (1/12) underwent endovascular operation again due to restenosis,ulcers were healed in 5 limbs(5/12),and no amputation (limb/toe),death or loss of follow-up patients.Six months after the operation,2 patients were lost to follow-up and 2 died,ulcers were healed in 6 limbs(6/8),1 limb (1/8) underwent toe amputation due to prolonged healing of ulcers of toe.Conclusion:ELA is feasible and effective in the treatment of DF with BTK lesions,providing a new option of debulking atherectomy in such a group of patients.