Objective:To develop an ultrasound multi-view fusion recognition model and evaluate its clinical value in diagnosing fetal conotruncal defects (CTD).Methods:This prospective study collected cardiac ultrasound images from fetuses at 20-32 weeks of gestation undergoing prenatal ultrasound at Dongguan Maternal and Child Health Hospital between September 2022 and May 2024. The case group comprised fetuses diagnosed with CTD, while controls with normal cardiac structures were collected at a 1∶2 ratio. Both groups were divided into modeling training and validation sets at a 3∶1 ratio. One optimal standard image each from the four-chamber view, left ventricular outflow tract view, right ventricular outflow tract view, and three vessels and trachea view was included per fetus. A deep learning-based multi-view fusion recognition model was developed to differentiate normal conotruncal anatomy from CTD. Model performance was validated against post-abortion pathology or postnatal echocardiography results. SAS software was used for statistical analysis to calculate the sensitivity and specificity of three fusion models (based on positivity in any two, three, or four views, and were designated as Fusion Model 1, Fusion Model 2, and Fusion Model 3, respectively), with the optimal model determined by the maximum Youden index. Senior, intermediate, and junior prenatal sonologists independently diagnosed cases in the validation set under blinding conditions. Their diagnostic results were compared with those of the optimal model. Paired Chi-square test (Cochran's Q test) was employed to compare the differences between the diagnostic accuracy rates of sonologists at different experience levels and the sensitivity of the optimal model, thereby analyzing the auxiliary diagnostic value of the multi-view fusion recognition model. Results:The study included 88 CTD cases, excluding six cases (non-CTD diagnosed by post-abortion pathology or postnatal echocardiography or poor image quality), divided into 60 training and 22 validation cases (12 tetralogy of Fallot, four double outlet right ventricle, three transposition of great arteries, three persistent truncus arteriosus). The control group included 176 cases, excluding 15 cases (other cardiac abnormalities confirmed postnatally or poor image quality after re-evaluation), divided into 120 training and 41 validation cases. The sensitivities of Fusion Model 1, Fusion Model 2, and Fusion Mudel 3 were 0.86, 0.64, and 0.27, while their specificities were 0.76, 0.95, and 1.00, respectively. Fusion Model 1 demonstrated the highest Youden index (0.62) and was selected as optimal. Its diagnostic sensitivity showed no significant difference from senior sonologists [86% vs. 91% (20/22), Bonferroni-corrected P>0.999], but was significantly higher than intermediate [55% (12/22), Bonferroni-corrected P=0.049] and junior sonologists [32% (7/22), Bonferroni-corrected P=0.003]. Conclusion:The deep learning multi-view fusion model achieved diagnostic performance comparable to senior sonologists, demonstrating potential value in assisting CTD diagnosis, training less experienced sonologists, and supporting research and education.

Objective To investigate the epidemiological characteristics of dengue fever in Shenzhen City in 2024, so as to provide insights into formulation of the preventive and control measures for dengue fever. Methods The epidemiological data of dengue cases reported in Shenzhen City in 2024 were extracted from the China Disease Prevention and Control Information System and field epidemiological survey data of dengue fever in Shenzhen City, and the temporal, regional and population distributions of dengue fever cases, source of acquire dengue virus infections, disease diagnosis and treatment and outbreaks were analyzed. The dengue virus nucleic acid was tested and the serotypes of dengue virus were characterized using real-time quantitative reverse transcription PCR (RT-qPCR) assay, and the dengue virus gene was sequenced using next-generation sequencing (NGS). In addition, the surveillance on the density of Aedes albopictus was performed using Breteau index (BI) and mosquito oviposition index (MOI). Results A total of 1 735 dengue fever cases were reported in Shenzhen City in 2024, including 952 local cases and 783 imported cases. Most imported dengue fever cases acquired infections from eight cities of Foshan, Guangzhou, Zhongshan, Jiangmen, Dongguan, Zhaoqing, Huizhou, and Zhuhai in the Pearl River Delta region (664 cases, 84.8% of total imported cases) into Baoan, Longgang, and Nanshan districts. The epidemic exhibited an early onset and rapid progression, peaking during the period between September and November (1 632 cases, 94.1% of total cases), and dengue fever cases were distributed across 73 subdistricts in 10 districts, with most cases reported in densely populated central and western regions. The dengue fever cases had a male-to-female ratio of 1.9∶1.0, and a median age of 37 (21) years, with a higher median age among local cases than among imported cases [40 (20) years vs. 33(15) years; Z = -10.30, P < 0.05]. Housework, unemployment, workers, and business service were predominant occupations (1 405 cases, 81.0% of total cases), and there was a significant difference in the constituent ratio of occupations between local and imported cases (χ² = 92.30, P < 0.05). Among the 1 735 dengue fever cases, the median duration from onset to definitive diagnosis was 3.3 (2.9) days, and 1 686 cases (97.2%) were identified in healthcare facilities, with a low rate of hospitalization and isolation seen in 1 701 inpatients with available epidemiological data (485 cases, 28.5% of total inpatients). A total of 29 outbreaks of dengue fever occurred in Shenzhen City across 2024, which primarily in construction sites (27 outbreaks, 93.1% of total). Dengue virus type I was the dominant serotype causing dengue fever in Shenzhen City in 2024. Sequencing showed that the genomes of dengue virus from multiple dengue fever cases in Shenzhen City shared a high sequence homology with those from cities neighboring Shenzhen City, and there might be intra-city transmission of dengue virus among multiple construction sites in Shenzhen City. The Aedes albopictus density was significantly higher in Shenzhen City in 2024 than in 2023, peaking from May to September. The annual MOI values ranged from 0.9 to 14.0, and the BI values ranged from 0.6 to 6.0. Conclusions The overall epidemic of dengue fever was severe in Shenzhen City in 2024, which was greatly affected by case importation from neighboring cities, construction sites-centered local transmission, and the effectives of routine mosquito vector control was not satisfactory. Integrated dengue fever control measures should be implemented, focusing on regional joint prevention and control mechanisms, capacity building for mosquito vector control, addressing challenges in epidemic containment at construction sites, and strengthening case detection and management systems.

Objective To analyze the risk factors for gait disorder in patients with developmental dysplasia of the hip(DDH)after total hip replacement.Methods Sixty DDH patients who underwent total hip replacement at The Second People's Hospital of Kunshan from August 2018 to August 2023 were selected as research objects.Of them,19 patients with gait disorders were assigned to observation group,and 41 without gait disorders were taken as control group.Univariate and multivariate logistic regression analyses were conducted to identify the risk factors for gait disorders in DDH patients after total hip replacement.Results There was no significant difference in the gender,age,disease duration,place of residence,educational level,American Society of Anesthesiologists(ASA)grade,surgical time,intraoperative blood loss,Tonnis classification,or symmetrical skin lines on lower limbs between the two groups(P>0.05).But there were significant differences in terms of equal length of lower limbs,anterior pelvic tilt,cerebral small vessel disease,Parkinson disease,and peripheral nerve injury in lower limbs between the two groups(P<0.05).Equal length of lower limbs,anterior pelvic tilt,cerebral small vessel disease,Parkinson disease,and peripheral nerve injury in lower limbs were risk factors for gait disorders in DDH patients after total hip replacement(P<0.05).Conclusion The occurrence of gait disorders is related to the equal length of lower limbs,anterior pelvic tilt,cerebral small vessel disease,Parkinson disease,and peripheral nerve injury in lower limbs in DDH patients after total hip replacement.Symptomatic treatment should be given timely so as to prevent gait disorders and improve the prognosis.

Objective To study the application of mesoporous silica nanoparticle(MSN)as drug carriers in the treatment of osteoarthritis(OA).Methods Core-cone structured MSN(MSN-CC)was synthesized by sol-gel method,modified by polyethyleneimine(PEI),and loaded with hyaluronic acid synthase 2(HAS2).Forty OA model rats were randomly assigned to OA group,MSN-CC-PEI group,hyaluronic acid(HA)group,or MSN-CC-PEI-HAS2 group.Ten healthy rats were assigned to control group.Normal saline 100 μL was injected into the knee joint in the control group and OA group.MSN-CC-PEI 100 μL,HA solution 100 μL,and MSN-CC-PEI-HAS2 100 μL were injected in MSN-CC-PEI group,HA group,and MSN-CC-PEI-HAS2 group,respectively.The levels of HA,interleukin-1β(IL-1β),and prostaglandin E2(PGE2)in the joint effusion and the foot swelling degree were measured at 1,2,and 3 weeks after injection.Results HA level in the MSN-CC-PEI-HAS2 group was significantly lower than that in the HA group at 1 week after intervention(P<0.05),while HA level in the MSN-CC-PEI-HAS2 group was significantly higher than that in the HA group at 2 and 3 weeks after intervention(P<0.05).With the time going on,HA level in the HA group was gradually decreased(P<0.05),but HA level in the MSN-CC-PEI-HAS2 group was gradually increased(P<0.05).At 1 and 2 weeks after intervention,compared with the HA group,IL-1β,PGE2 and foot swelling degree in the MSN-CC-PEI-HAS2 group were increased(P<0.05).At 3 weeks after intervention,compared with the HA group,IL-1β,PGE2 and foot swelling degree in the MSN-CC-PEI-HAS2 group were decreased(P<0.05).With the time going on,IL-1β,PGE2 and foot swelling degree in the HA group and MSN-CC-PEI-HAS2 group were gradually decreased(P<0.05).Conclusion MSN carrier can stably stimulate the secretion of endogenous HA,reduce the inflammatory response within joint cavity of OA rats,and improve the joint morphology and soft tissue pathological changes.

OBJECTIVE To provide standardized whole-process guidance on drug traceability codes for medical institutions in Sichuan province， ensuring medication safety and compliance with medical insurance supervision requirements. METHODS Based on evidence-based principles and expert consensus， Expert Consensus on Whole-process Management of Drug Traceability Codes in Medical Institutions of Sichuan Province （hereinafter referred to as the Consensus） was formulated through systematic literature review， field investigations， establishment of a multidisciplinary expert committee and multiple rounds of questionnare consultation via the modified Delphi method， and finalized through consensus meetings. RESULTS & CONCLUSIONS The Consensus clarifies key operating procedures for code verification， code assignment and code return， whole-process operational standards for drug warehouse acceptance and storage， drug warehouse outbound delivery and pharmacy acceptance check， drug distribution and dispensing in pharmacy and intravenous admixture center， medication administration in nursing units and examination departments， as well as drug return process. Key recommendations are proposed such as improving the core functions of the drug traceability system， unifying the hospital-wide traceability code database， strengthening the management of traceability codes for backup medications， establishing a management organization and institutional framework， and optimizing the architectural design and data governance requirements of the drug traceability system. The release of the Consensus will provide scientific， standardized and implementable practical guidelines for medical institutions of Sichuan province， helping to improve closed-loop management of the drug traceability system， strengthen medication safety and fulfil medical insurance fund supervision.

Objective:To analyze the correlation between serum uric acid-to-high-density lipoprotein cholesterol ratio (UHR) and risk of all-cause death or cardiovascular disease (CVD) death among urban and rural elderly in Beijing.Methods:Based on the Beijing Healthy Aging Cohort Study, 9 022 participants with complete baseline data were enrolled, and their survival and death outcomes were followed up. Multivariable Cox proportional hazard regression model were used to analyze the associations between the UHR level and the risks of all-cause mortality and CVD mortality.Results:As of March 31, 2021, the median follow-up time M( Q1, Q3) was 6.18 (5.36, 6.75) years. There were 1 166 all-deaths, with a death density of 19.26 per 1 000 person-years, and 562 CVD deaths, with a death density of 9.28 per 1 000 person-years. After adjusting sociodemographic characteristics and lifestyle factors, multivariable Cox proportional hazard regression model showed that the risk of all-cause mortality increased by 3% ( HR=1.03, 95% CI: 1.02-1.04) and the risk of CVD mortality increased by 4% ( HR=1.04, 95% CI: 1.02-1.06) for every 1% increase in UHR. Compared with the T1 group of UHR tertiles, the T3 group had a 42% increase in the risk of all-cause death ( HR=1.42, 95% CI: 1.22-1.66) and a 53% increase in the risk of CVD death ( HR=1.53, 95% CI: 1.21-1.94). Conclusions:The UHR level is significantly associated with the risks of all-cause mortality and CVD mortality among urban and rural older adults in Beijing. The UHR level may be one of the potential predictors of death risk in community-dwelling older adults.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To analyze the correlation between serum uric acid-to-high-density lipoprotein cholesterol ratio (UHR) and risk of all-cause death or cardiovascular disease (CVD) death among urban and rural elderly in Beijing.Methods:Based on the Beijing Healthy Aging Cohort Study, 9 022 participants with complete baseline data were enrolled, and their survival and death outcomes were followed up. Multivariable Cox proportional hazard regression model were used to analyze the associations between the UHR level and the risks of all-cause mortality and CVD mortality.Results:As of March 31, 2021, the median follow-up time M( Q1, Q3) was 6.18 (5.36, 6.75) years. There were 1 166 all-deaths, with a death density of 19.26 per 1 000 person-years, and 562 CVD deaths, with a death density of 9.28 per 1 000 person-years. After adjusting sociodemographic characteristics and lifestyle factors, multivariable Cox proportional hazard regression model showed that the risk of all-cause mortality increased by 3% ( HR=1.03, 95% CI: 1.02-1.04) and the risk of CVD mortality increased by 4% ( HR=1.04, 95% CI: 1.02-1.06) for every 1% increase in UHR. Compared with the T1 group of UHR tertiles, the T3 group had a 42% increase in the risk of all-cause death ( HR=1.42, 95% CI: 1.22-1.66) and a 53% increase in the risk of CVD death ( HR=1.53, 95% CI: 1.21-1.94). Conclusions:The UHR level is significantly associated with the risks of all-cause mortality and CVD mortality among urban and rural older adults in Beijing. The UHR level may be one of the potential predictors of death risk in community-dwelling older adults.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To develop an ultrasound multi-view fusion recognition model and evaluate its clinical value in diagnosing fetal conotruncal defects (CTD).Methods:This prospective study collected cardiac ultrasound images from fetuses at 20-32 weeks of gestation undergoing prenatal ultrasound at Dongguan Maternal and Child Health Hospital between September 2022 and May 2024. The case group comprised fetuses diagnosed with CTD, while controls with normal cardiac structures were collected at a 1∶2 ratio. Both groups were divided into modeling training and validation sets at a 3∶1 ratio. One optimal standard image each from the four-chamber view, left ventricular outflow tract view, right ventricular outflow tract view, and three vessels and trachea view was included per fetus. A deep learning-based multi-view fusion recognition model was developed to differentiate normal conotruncal anatomy from CTD. Model performance was validated against post-abortion pathology or postnatal echocardiography results. SAS software was used for statistical analysis to calculate the sensitivity and specificity of three fusion models (based on positivity in any two, three, or four views, and were designated as Fusion Model 1, Fusion Model 2, and Fusion Model 3, respectively), with the optimal model determined by the maximum Youden index. Senior, intermediate, and junior prenatal sonologists independently diagnosed cases in the validation set under blinding conditions. Their diagnostic results were compared with those of the optimal model. Paired Chi-square test (Cochran's Q test) was employed to compare the differences between the diagnostic accuracy rates of sonologists at different experience levels and the sensitivity of the optimal model, thereby analyzing the auxiliary diagnostic value of the multi-view fusion recognition model. Results:The study included 88 CTD cases, excluding six cases (non-CTD diagnosed by post-abortion pathology or postnatal echocardiography or poor image quality), divided into 60 training and 22 validation cases (12 tetralogy of Fallot, four double outlet right ventricle, three transposition of great arteries, three persistent truncus arteriosus). The control group included 176 cases, excluding 15 cases (other cardiac abnormalities confirmed postnatally or poor image quality after re-evaluation), divided into 120 training and 41 validation cases. The sensitivities of Fusion Model 1, Fusion Model 2, and Fusion Mudel 3 were 0.86, 0.64, and 0.27, while their specificities were 0.76, 0.95, and 1.00, respectively. Fusion Model 1 demonstrated the highest Youden index (0.62) and was selected as optimal. Its diagnostic sensitivity showed no significant difference from senior sonologists [86% vs. 91% (20/22), Bonferroni-corrected P>0.999], but was significantly higher than intermediate [55% (12/22), Bonferroni-corrected P=0.049] and junior sonologists [32% (7/22), Bonferroni-corrected P=0.003]. Conclusion:The deep learning multi-view fusion model achieved diagnostic performance comparable to senior sonologists, demonstrating potential value in assisting CTD diagnosis, training less experienced sonologists, and supporting research and education.