Background: Malignant vasovagal syncope (VVS) is characterized by cardiac arrest lasting more than 3 seconds during a syncope episode or head-up tilt test (HUTT). We aim to conduct a risk assessment for potential malignant VVS before the HUTT by using economic, simple and convenient demographic data, in order to prevent adverse outcomes for pediatric VVS.Purpose: To explore the correlation between demographic factors and pediatric malignant VVS, and verify the value of these factors in early risk assessment for malignant VVS before HUTT, so as to optimize test safety and reduce adverse events. Methods: We conducted a retrospective analysis of the clinical data of 3,734 children who were initially diagnosed with VVS due to unexplained syncope and presyncope. Finally, 122 children who met the diagnostic criteria for malignant VVS were included in the malignant VVS group, and 661 children who did not meet the criteria during the same period were matched as the control group. By analyzing demographic data and other factors, we attempted to clarify the association between these factors and malignant VVS. Results: Linear relationship: age and body mass index (BMI) have independent protective effects on malignant VVS. For every 1-year increase in age and every 1 kg/m2 increase in BMI, the risk of malignant VVS decreases by 12% and 9%, respectively. Nonlinear relationship: When the age is <12.9 years old, for every additional year of age, the risk of malignant VVS decreases by 20%. For ages 12.9 years and above, the efficacy is not significant. There is no significant nonlinear relationship between BMI and malignant VVS. Conclusion Age and BMI are independent protective factors for pediatric malignant VVS. Before the age of 12.9 years, the incidence of malignant VVS gradually decreases with the increase in age, and thereafter there is no significant impact.

This study reports a new species of Culicoides(Avaritia)isolated from Xunke County, Heilongjiang Province, China. The new species, Culicoides(Avaritia)dongshanensis Liu et Wang, sp. nov., was identified and illustrated based on female adults. Its diagnostic characteristics are as follows: eyes contiguous over a short distance, with short interfacetal hair, antennal ratio(AR)of 1.20, palpal ratio(PR)of 2.16, wing length of 0.83 mm, mandible with 15 teeth, one pale spot in base cell M1, one pale spot in cell M4, two pale spots in cell A, and two unequal spermathecae. Type specimens were deposited at the Center for Disease Control and Prevention of the Northern Theater Command.

Purpose To explore the predictive value of CT-enhanced for tumor mutation burden(TMB)in hepatocellular carcinoma(HCC).Materials and Methods A total of 22 patients with pathologically confirmed HCC after undergoing radical resection in the First Affiliated Hospital,Army Medical University(Third Military Medical University)from January 2020 to January 2023 were collected,all of whom were quantified for TMB.Clinical,laboratory tests,CT imaging characteristics and follow-up of patients were recorded.Variables with P<0.2 were screened by stepwise regression analysis for independent risk factors for TMB.The area under the curve of receiver operating characteristic was used to assess the diagnostic efficacy.Results High TMB level was a risk factor for disease-free survival after HCC surgery(HR=1.115,P<0.05).According to the optimal cut-off value,TMB was classified into a high-risk group(>9.25 mutation/Mb)and low-risk group(≤9.25 mutation/Mb).Univariate analysis of intratumor ischemia or necrosis was statistically different between the high-risk and low-risk groups(P=0.005),and only intratumor ischemia or necrosis was an independent risk factor for predicting high TMB level by stepwise regression analysis(P<0.05).The area under the curve for predicting disease-free survival was 0.833(95%CI 0.615-0.956,P<0.001),with a sensitivity of 100.0%and a specificity of 66.7%.Conclusion High TMB level is associated with poor prognosis after HCC resection.Intratumor ischemia or necrosis have certain clinical value in predicting high TMB level,and are expected to provide a reference basis for personalized diagnosis and treatment of HCC patients.

This study was aimed at understanding the prevalence and influencing factors of food-borne parasitic diseases in ethnic minority areas of Guizhou Province,to provide a scientific basis for the development of appropriate intervention measures based on the human-animal-environment One Health concept.In 2023,the infection status of the human population,reservoir hosts,intermediate hosts,food-borne parasitic diseases,and related social and environmental factors were investigated in Congjiang County in Qidongnan Miao and Dong Autonomous Prefecture;Luodian County in Qiannan Buyi and Miao Autonomous Prefecture;and Ceheng County in Qianxinan Buyi and Miao Autonomous Prefecture.At least 1 000 individuals were sampled from each county,along with at least 50 insect-protected host samples from each location.Food-borne parasite infections were detected with the modified Kato thick smear method.A questionnaire survey was administered to the population.Detection of food-borne parasitic metacercariae was performed in intermediate host fish through the flaking and digestion method,and in crabs through the pounding and sedimentation method.The chi-square test was used to compare rates,and logistic regression was applied for multivariate analysis.A total of 3 023 questionnaires and fecal samples were collected.Males accounted for 47.50%,females accounted for 52.50%,and members of ethnic minorities accounted for 96.06%.A total of 186 food-borne parasitic infections were identified,and the infection rate was 6.15%.Five insect species were detected,which showed an infection rate of 5.39%.The infection rate of Clonorchis sinensis was 0.33%,that of Taenia was 0.40%,that of Heteroceles was 0.17%,that of Acanthus was 0.17%,and that of Echinostoma was 0.03%.Human infections with Echinostomus colloides and Echinostomia transferoris had not previously been reported in China.Single-factor analysis revealed statistically significant differences in food-borne parasite infections according to various factors,including the consumption of untreated water,raw fish and shrimp,raw pig blood,raw cow gastric juice,and raw pork and beef,as well as raw pig and cow viscera(P<0.05).Multivariate analysis indicated that the risk factors for food-borne parasite infections among residents in minority areas of Guizhou Province included the consumption of raw pig blood(OR=2.841,95%CI:1.809-4.463),raw cow gastric juice(OR=2.122,95%CI:1.297-3.469),and raw fish and shrimp(OR=1.779,95%CI:1.049-3.018).A total of 173 fecal samples of the reservoir host were examined,which showed a rate of food-borne parasite infection of 5.2%.A total of 510 intermediate host fish were examined,which showed a 4.51%positivity rate of encysted metacercaria of Clonorchis sinensis.The crab,pig,and beef samples were not positive.In conclusion,food-borne parasitic infections were prevalent in ethnic minority regions of Guizhou Province,and consumption of raw food were influencing factors.A focus on populations with raw food consumption habits,including raw pig blood,cow gastric juice,fish and shrimp,is essential.Concurrently,monitoring of animal hosts must be strengthened to perform key interventions according to the One Health concept.

Objective:To investigate the clinical value of enhanced magnetic resonance imaging (MRI)-based deep learning model in preoperative prediction of proliferative hepatocellular carcinoma (HCC).Methods:The retrospective cohort study was conducted. The clinical data of 906 HCC patients who were admitted to The First Affiliated Hospital of Army Medical University and The Second Affiliated Hospital of Chongqing Medical University from May 2017 to October 2022 were collected. There were 769 males and 137 females, aged (53.2±10.9)years. Of the 906 patients, 815 cases who were admitted to The First Affiliated Hospital of Army Medical University were divided into the training set of 634 patients and the internal validation set of 181 patients using a random number table method with a ratio of 8:2, and 91 patients who were admitted to The Second Affiliated Hospital of Chongqing Medical University were divided into the external validation set. The training set was used to construct the prediction model, while the validation set was used to validate the prediction model. Observation indicators: (1) analysis of factors influencing the pathological classification of HCC patients; (2) deep learning imaging features of HCC patients; (3) evaluation of the efficacy of prediction model for proliferative HCC; (4) validation of the prediction model for proliferative HCC; (5) prognosis of HCC patients. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Multivariate analysis was conducted using the binary Logistic regression model. The model perfor-mance was evaluated through five-fold cross-validation, and receiver operating characteristic (ROC) curve was plotted to assess the diagnostic value of the model based on the area under curve (AUC), sensitivity, and specificity. The Delong test was used to compare the diagnostic performance of models. The Hosmer-Lemeshow test was employed to evaluate the calibration of models. The optimal cutoff value of the prediction model was determined by the maximum Youden index, with the value >0.175 indicating high-risk patients and value ≤0.175 indicating low-risk patients.The Kaplan-Meier method was used to calculate the survival rate and the Log-rank test was used for survival analysis. Results:(1) Analysis of factors influencing the pathological classification of HCC patients. Of 634 patients in the training set, there were 190 cases of proliferative HCC and 444 cases of non-proliferative HCC. Results of multivariate analysis showed that alpha fetoprotein (AFP) ≥400 μg/L and tumor diameter >5 cm were independent risk factors for pathological type of HCC as proli-ferative [ odds ratio=1.73, 1.88, 95% confidence interval ( CI) as 1.19-2.50, 1.30-2.71, P<0.05]. (2) Deep learning imaging features of HCC patients. In the training set of 634 patients, the probability predicted by MRI-based deep learning model was 84.8%(30.5%,95.4%) for proliferative HCC and 5.8%(3.2%,12.5%) for non-proliferative HCC, showing a significant difference between them ( Z=-16.01, P<0.05). (3) Evaluation of the efficacy of prediction model for proliferative HCC. In the training set, the AUC of clinical prediction model for proliferative HCC was 0.63(95% CI as 0.59-0.68, P<0.05), with sensitivity of 54.74% and specificity of 64.19%. The AUC of MRI-based deep learning prediction model was 0.90(95% CI as 0.87-0.93, P<0.05), with sensitivity of 80.53% and specificity of 86.94%. The AUC of combined MRI-based deep learning with clinical prediction model was 0.90 (95% CI as 0.87-0.93, P<0.05), with sensitivity of 83.16% and specificity of 86.04%. Results of Delong test showed that there was a significant difference between the combined MRI-based deep learning with clinical prediction model and the clinical prediction model ( P<0.05), and there was no signifi-cant difference between the combined MRI-based deep learning with clinical prediction model and the MRI-based deep learning prediction model ( P>0.05). Results of Hosmer-Lemeshow test showed good calibration for the clinical prediction model, the MRI-based deep learning prediction model and the combined MRI-based deep learning with clinical prediction model ( χ2=0.84, 6.38, 3.93, P>0.05), indicating that the predicted probabilities of these three prediction models matched the actual risk well. (4) Validation of the prediction model for proliferative HCC. Results of validation of the prediction model in internal validation set showed the AUC of MRI-based deep learning prediction model for proliferative HCC was 0.84(95% CI as 0.77-0.91, P<0.05), with sensitivity of 82.35% and specificity of 77.69%. Results of validation of the prediction model in external validation set showed the AUC of MRI-based deep learning prediction model for proliferative HCC was 0.81(95% CI as 0.71-0.92, P<0.05), with sensitivity of 70.00% and specificity of 81.69%. (5) Prognosis of HCC patients. Of the 906 patients, the 1-, 3-, and 5-year recurrence-free survival rates for 645 proliferative HCC patients were 56.9%, 31.4%, and 29.1%, respectively, and the 1-, 3-, and 5-year recurrence-free survival rates for 261 non-proliferative HCC patients were 88.8%, 68.6%, and 56.0%, respectively. There were significant differences in recurrence-free survival time between proliferative HCC and non-proliferative HCC patients of the training set, internal validation set and external validation set ( P<0.05). The 1-, 3-, 5-year recurrence-free survival rates for 331 high-risk HCC patients were 64.6%, 50.4%, 43.6%, versus 88.5%, 71.9%, 62.7% for 575 low-risk HCC patients. There were significant differences in recurrence-free survival time between high-risk HCC patients and low-risk HCC patients of the training set, internal validation set and external validation set ( P<0.05). Conclusion:The MRI-based deep learning model can effectively predict proliferative HCC and recurrence-free survival of patients before the surgery.

Objective:To explore the impact of National Metabolic Management Center (MMC) mode on the metabolic indexes in different age patients with type 2 diabetic mellitus (T2DM).Methods:A prospective study method was used. A total of 798 T2DM patients underwent the MMC mode management in Shanghai Punan Hospital of Pudong New District from May 2021 to August 2024 were selected. The patients followed the MMC one-stop diagnosis and treatment management service standards to enter the registration, treatment, examination and follow-up processes. The average follow-up time was 12.0 months. The glucose and lipid metabolism indexes, blood pressure and body mass index (BMI) before intervention and after receiving the intervention by MMC were measured. The glucose and lipid metabolism indexes included triacylglycerol, total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin. The control rates of blood glucose, blood lipid, blood pressure and BMI were calculated after intervention.Results:The triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention in patients with T2DM were significantly lower than those before intervention: (1.75 ± 1.63) mmol/L vs. (2.08 ± 1.74) mmol/L, (4.37 ± 1.11) mmol/L vs. (4.88 ± 1.24) mmol/L, (2.47 ± 0.92) mmol/L vs. (2.92 ± 0.98) mmol/L, (6.54 ± 1.71) mmol/L vs. (8.12 ± 3.05) mmol/L, (9.04 ± 3.49) mmol/L vs. (12.10 ± 5.28) mmol/L and (6.89 ± 1.23)% vs. (8.85 ± 2.31)%, the HDL-C after intervention was significantly higher than that before intervention: (1.21 ± 0.31) mmol/L vs. (1.13 ± 0.29) mmol/L, and there were statistical differences ( P<0.01). The control rates of blood lipid and blood glucose after intervention in patients with T2DM were significantly higher than those before intervention: 54.6% (436/798) vs. 37.3% (298/798) and 62.0% (495/798) vs. 26.1% (208/798), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure before intervention and after intervention ( P>0.05). In T2DM patients with age <50 years and from 50 to 59 years, the triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, the HDL-C after intervention was significantly higher than that before intervention, and there were statistical differences ( P<0.05 or <0.01); the control rates of blood lipid and blood glucose after intervention were significantly higher than those before intervention, the patients with <50 years: 44.5% (114/256) vs. 27.7% (71/256) and 76.6% (196/256) vs. 28.9% (74/256), the patients with 50 to 59 years: 54.8% (86/157) vs. 28.0% (44/157) and 66.9% (105/157) vs. 24.8% (39/157), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure between before intervention and after intervention ( P>0.05). In T2DM patients with age from 60 to 69 years, the triacylglycerol, total cholesterol, LDL-C, fasting blood glucose, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, and there were statistical differences ( P<0.05 or <0.01); there was no statistical differences in HDL-C before intervention and after intervention ( P>0.05); the control rates of blood lipid and blood glucose after intervention were significantly higher than those before intervention: 59.0% (177/300) vs. 47.3% (142/300) and 53.3% (160/300) vs. 25.7% (77/300), and there were statistical differences ( P<0.01); there were no statistical differences in the control rates of BMI and blood pressure before intervention and after intervention ( P>0.05). In T2DM patients with aged ≥70 years, the total cholesterol, LDL-C, 2 h postprandial blood glucose and glycated hemoglobin after intervention were significantly lower than those before intervention, and there were statistical differences ( P<0.05 or <0.01); there were no statistical difference in triacylglycerol, HDL-C and fasting blood glucose between before intervention and after intervention ( P>0.05); the control rate of blood glucose after intervention was significantly higher than that before intervention: 48.2% (41/85) vs. 22.4% (19/85), and there was statistical difference ( P<0.01); there were no statistical differences in the control rates of BMI, blood pressure and blood lipid between before intervention and after intervention ( P>0.05). Conclusions:The intervention based on MMC mode management could effectively improve the glucose and lipid metabolism in patients with T2DM, especially for patients with aged <70 years. However, additional health guidance is needed for patients with aged ≥ 70 years to further enhance their health benefits.

Objective:To evaluate the efficacy of gadolinium ethoxybenzyl- diethy-lenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI features in the preoperative prediction of tertiary lymphoid structures (TLS) within hepatocellular carcinoma (HCC) lesions.Methods:This retrospective cross-sectional study included clinical and pathological data from 297 HCC patients treated at the Southwest Hospital, Army Medical University between June 2021 and November 2022. Based on postoperative pathology, patients were categorized into TLS-negative ( n=93) and TLS-positive ( n=204) groups. MRI features of HCC lesions using Gd-EOB-DTPA enhancement and relevant clinical data were analyzed. Intergroup comparisons of imaging features and laboratory findings were performed using independent sample t-test, Mann-Whitney U test, χ2 test, or Fisher exact test, as appropriate. The logistic regression analysis was conducted to identify independent predictors of TLS positivity. A predictive model was constructed and visualized using a nomogram. The model′s predictive performance and clinical utility were assessed using the receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). The area under the ROC curve (AUC) was compared using the DeLong test. Results:Significant differences were observed between the TLS-negative and TLS-positive groups in alpha-fetoprotein (AFP) levels, intratumoral hemorrhage, and peritumoral satellite nodules in the hepatobiliary phase ( P<0.05). Multivariate logistic regression identified intratumoral hemorrhage ( OR=0.123, 95% CI 0.070-0.216, P<0.001) and peritumoral satellite nodules in the hepatobiliary phase ( OR=0.236, 95% CI 0.093-0.596, P=0.002) as independent predictive factors for TLS-positivity. The imaging model based on these two features yielded an AUC of 0.764 (95% CI 0.709-0.809) for predicting TLS-positivity. When combined with AFP levels, the resulting clinical-imaging model achieved a superior AUC of 0.784 (95% CI 0.732-0.829), which was significantly higher than that of the imaging model alone ( Z=2.20, P=0.028). A nomogram was constructed based on the clinical-imaging model. The calibration curve demonstrated good predictive performance of the nomogram, and the DCA showed that the curve remained above the default line across a range of reasonable threshold probabilities, indicating that patients could derive clinical benefit. Conclusion:A nomogram model based on Gd-EOB-DTPA enhanced MRI features combined with AFP levels can effectively predict the presence of TLS in HCC.

Medical ultrasound technology is widely used for diagnosis and therapy in clinical practice.Ultrasound probes,which are directly contact with patients,pose a potential risk of pathogen transmission.This expert consen-sus was developed by a multidisciplinary team based on international guidelines,standards in China,and the results of a national survey,aiming to reduce the risk of healthcare-associated infection through standardizing reprocessing of medical ultrasound probes,and formulating consensus recommendations with the Delphi method.The consensus clarifies the reprocessing principles for three types of ultrasound probes of different infection risks:external-use ul-trasound probes,interventional percutaneous ultrasound probes,and internal-use ultrasound probes,puts forward systematic suggestions on the reprocessing standards and disinfection levels of ultrasound probe isolation covers and coupling agents,the reprocessing procedures and methods of ultrasound probes,as well as architectural layout and management of reprocessing,so as to provide a scientific prevention and control framework for ensuring ultrasound diagnosis and therapy safety.

Objective To analyze the correlation between lesion volume,lesion mass,and maximum lesion diameter in the assessment of advanced hepatocarcinoma with lung metastasis,and to evaluate the application value of total volume response and total mass response of lung metastatic lesions in efficacy assessment.Methods A retrospective analysis was conducted on the CT imaging data of 20 patients clinically confirmed with hepatocarcinoma and lung metastases,followed by subsequent follow-up to monitor their survival outcomes.Volume measurement software was used to measure the volume of lesions before and after treatment.We recored lesion diameter,volume measurements and CT values,calculated the mass of the lesions.The correlation between lesion volume,mass and diameter was analyzed,as well as the correlation between the change rates of volume,mass and lesion diameter.Additionally,the total volume and total mass of all lesions were calculated.The correlation between the change rates of total volume/total mass and the change rate of pulmonary lesion diameter under the RECIST 1.1 criteria,as well as the correlation with changes in patients'tumor markers,were analyzed.Furthermore,the overall volume response and overall mass response of lesions were evaluated based on changes in total volume and total mass,and their consistencies with the RECIST 1.1 criteria for efficacy evaluation were analyzed.Finally,univariate Cox regression analysis was performed to explore the association between these variables and patient survival outcomes.Results There was strong correlation between lesion volume,mass and tumor diameter(r=0.771,0.775),between the rate of change in mass and the rate of change in lesion diameter(r=0.846),and between the rates of change in total volume/total mass and the rate of change in pulmonary lesion diameter under the RECIST 1.1 criteria(r=0.800,0.896).The correlation between the rates of change in total volume/total mass and patients'tumor markers was not statistically significant.There was moderate correlation between the rate of change in volume and the rate of change in lesion diameter(r=0.692).The evaluation results of total volume response and total mass response for pulmonary lesions in advanced hepatocarcinoma with lung metastasis were generally consistent with the RECIST 1.1 criteria(Kappa=0.486,0.426).Univariate Cox regression analysis revealed that total lesion volume(P=0.047)and total lesion mass(P=0.049)were independent prognostic factors for survival outcomes.Conclusion Lesion volume,mass,and diameter,as well as their respective change rates,were found to be interrelated.Furthermore,total lesion volume and total lesion mass were identified as independent prognostic factors for survival outcomes.The total volume response and total mass response are promising evaluation methods in evaluating the efficacy of lung metastasis of hepatocarcinoma,which are different from the RECIST 1.1 evaluation criteria.

Objective:To investigation the situation of water improvement projects in villages affected by drinking water-type endemic fluorosis in Qinghai Province and the prevalence of dental fluorosis among children, in order to provide a basis for consolidating the achievements in prevention and control of drinking water-type endemic fluorosis and adjusting prevention and control measures.Methods:The monitoring data on drinking water-type endemic fluorosis were collected from the disease prevention and control centers in various counties of Qinghai Province from 2021 to 2023, the situation of water improvement projects, the fluorine content of domestic drinking water and the prevalence of dental fluorosis in children aged 8 to 12 years old were retrospectively analyzed.Results:From 2021 to 2023, the numbers of villages affected by drinking water-type endemic fluorosis in Qinghai Province were 338, 335, and 328, respectively. The numbers of water improvement projects were 125, 127 and 124, respectively. The normal operation rates were 100%, 100% and 99.19% (123/124), respectively. The qualified rates of water fluoride level were 100%, 99.21% (126/127) and 99.19% (123/124), respectively. The detection rates of dental fluorosis among children aged 8 to 12 were 4.34% (515/11 877), 5.70% (646/11 331) and 4.48% (490/10 943), respectively. There was a statistically significant difference in the detection rate of dental fluorosis among children in different years (χ 2 = 22.79, P < 0.001). Conclusions:The overall operation status of water improvement project in villages affected by drinking water-type endemic fluorosis in Qinghai Province is generally good, but there has been some relaxation in management and maintenance in the later stage, and there is a phenomenon of project intermittency. The detection rate of dental fluorosis among children aged 8 to 12 remains low, and endemic fluorosis caused by drinking water is under continuous control.