Parkinson's disease （PD） is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD，it is urgent to establish a comprehensive and long-term traditional Chinese medicine （TCM） management model. In this paper，the conceptual framework of full-cycle management of PD is preliminarily constructed：based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD，the three-stage syndrome characteristics of the prodromal stage （predominant healthy Qi with subtle pathogenic factors），the early clinical stage （declining healthy Qi with growing pathogenic factors） and the middle and late stages （overwhelming pathogenic factors with deficient healthy Qi） are longitudinally described. Through the syndrome differentiation of visceral manifestations，the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed，while the matching treatment methods and prescriptions were inferred，and the modular scheme of the combining main symptoms，accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications （'variable syndrome'） and PD-related hyperpyrexia syndrome （'critical syndrome'） was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion，and provides new theories and research ideas for individualized and whole-process management of PD in TCM.

Parkinson's disease （PD） is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD，it is urgent to establish a comprehensive and long-term traditional Chinese medicine （TCM） management model. In this paper，the conceptual framework of full-cycle management of PD is preliminarily constructed：based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD，the three-stage syndrome characteristics of the prodromal stage （predominant healthy Qi with subtle pathogenic factors），the early clinical stage （declining healthy Qi with growing pathogenic factors） and the middle and late stages （overwhelming pathogenic factors with deficient healthy Qi） are longitudinally described. Through the syndrome differentiation of visceral manifestations，the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed，while the matching treatment methods and prescriptions were inferred，and the modular scheme of the combining main symptoms，accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications （'variable syndrome'） and PD-related hyperpyrexia syndrome （'critical syndrome'） was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion，and provides new theories and research ideas for individualized and whole-process management of PD in TCM.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

ObjectiveTo analyze the lipid characteristics and related risk factors of children with Wilson disease （WD）. MethodsThe clinical data of 315 children with WD and 248 healthy children who underwent physical examination were retrospectively collected. The differences in lipid levels between the two groups were compared. The WD group was divided into the normal lipid group （85 cases） and the dyslipidemia group （230 cases） according to lipid levels. General data and biochemical indicators were compared between the two groups， and multivariate Logistic regression analysis was used to analyze the independent risk factors for dyslipidemia in children with WD. ResultsThe incidence of dyslipidemia in children with WD was 73.0% （230/315）， comprising 77 cases （33.5%） of hypertriglyceridemia， 11 cases （4.8%） of hypercholesterolemia， 104 cases （45.2%） of combined hyperlipidemia， 9 cases （3.9%） of hyperlipoprotein（a）emia， and 29 cases （12.6%） of hypoalphalipoproteinemia. There were statistically significant differences in age distribution among different types of dyslipidemia （P<0.05）， whereas no significant differences were observed in gender distribution （P>0.05）. Compared with the normal lipid group， the dyslipidemia group showed significantly higher levels of homocysteine， superoxide dismutase （SOD）， platelet count （PLT）， fibrinogen， alanine aminotransferase， aspartate aminotransferase， γ-glutamyl transferase， uric acid， cystatin C （Cys-C）， type IV collagen （C-IV）， and laminin （all P<0.05）. Multivariate Logistic regression analysis showed that C-IV （OR=5.037， 95% CI： 2.562-9.900）， PLT （OR=2.297， 95% CI： 1.580-3.339）， Cys-C （OR=2.008， 95% CI： 1.395-2.890）， and SOD （OR=1.996， 95% CI： 1.342-2.970） were all independent risk factors for dyslipidemia in children with WD. ConclusionChildren with WD have a high incidence of dyslipidemia， which is dominated by combined hyperlipidemia and hypertriglyceridemia. C-IV， PLT， Cys-C， and SOD are independent risk factors for dyslipidemia in children with WD.

ObjectiveTo investigate the effects of Hei Xiaoyaosan on neuroinflammation in APP/PS1 mice and decipher the mechanism based on the C-X3-C chemokine ligand 1 （CX3CL1）-CX3CL1 receptor 1 （CX3CR1） signaling axis. MethodsSixty 16-week-old male APP/PS1 mice were selected and acclimatized for one week， and they were then randomly allocated into a model group， a CX3CL1 group （bilateral hippocampal injection of CX3CL1 at 0.5 g·L^-1）， and high-， medium-， and low-dose （22.10， 11.05， and 5.53 g·kg^-1， respectively） Hei Xiaoyaosan groups， with 12 mice in each group. Twelve age-matched male C57BL/6J mice served as the blank group （bilateral hippocampal injection of an equal volume of PBS）. The high-， medium-， and low-dose Hei Xiaoyaosan groups received corresponding drugs via gavage， while the blank group received an equal volume of normal saline， with an intervention period of 90 days. Morris water maze was used to assess learning and memory abilities. Nissl staining was performed to observe the pathological changes in neurons of the hippocampal CA1 region. Immunohistochemistry was adopted to detect amyloid-β_1-42 （Aβ_1-42） deposition in the hippocampal CA1 region. The immunofluorescence assay was employed to detect the expression of M1 and M2 microglial markers， including cluster of differentiation 86 （CD86）/ionized calcium-binding adapter molecule 1 （Iba-1） and arginase-1 （Arg1）/Iba1. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of interleukin-8 （IL-8） and interleukin-13 （IL-13） in the hippocampal tissue. Western blot was employed to determine the protein levels of CX3CL1， CX3CR1， CREB-binding protein （CBP）， cyclic AMP response element-binding protein （CREB）， phosphorylated （p）-CREB， and brain-derived neurotrophic factor （BDNF） in the hippocampal tissue. ResultsCompared with the blank group， the model group exhibited prolonged escape latency on day 5 and a reduced swimming distance in the target quadrant （P<0.01）， disarrangement of hippocampal neurons， with a reduced number of cells and uneven Nissl body staining， increased CD86/Iba1 expression， decreased Arg1/Iba1 expression （P<0.01）， enhanced Aβ expression （P<0.01）， an elevated IL-8 level and a declined IL-13 level （P<0.01）， and downregulated protein levels of CX3CL1， CX3CR1， CBP， p-CREB， and BDNF （P<0.01）. Compared with the model group， all treatment groups showed shortened escape latency on day 5 and an increased swimming distance in the target quadrant （P<0.05， P<0.01）， regular arrangement of neurons with an increased number and increased Nissl bodies， reduced CD86/Iba1 expression， increased Arg1/Iba1 and decreased Aβ expression （P<0.01）， and a declined IL-8 level and an elevated IL-13 level （P<0.05， P<0.01）. In the CX3CL1 group and the high- and medium-dose Hei Xiaoyaosan groups， the relative expression levels of CX3CL1， CX3CR1， CBP， and p-CREB were upregulated （P<0.01）. In the low-dose Hei Xiaoyaosan group， the relative expression levels of CX3CL1， CX3CR1， CBP， p-CREB/CREB， and BDNF were upregulated （P<0.05， P<0.01）. ConclusionHei Xiaoyaosan can improve learning and cognitive abilities in APP/PS1 mice. Specifically， it may regulate the CX3CL1/CX3CR1 signaling axis to activate the CREB/BDNF signaling pathway for the subsequent release of BDNF， modulation of microglial polarization， reduction of inflammatory cytokine levels， and attenuation of Aβ deposition.

OBJECTIVE To summarize the implementation experiences of the China Hospital Association’s Clinical Pharmacist Instructor Training Program Reform， and to evaluate the effectiveness of the reform， thus continuously enhancing the quality and standards of clinical pharmacist instructor training. METHODS The study drew on project evaluation methodologies to summarize the main characteristics of the comprehensive system and new model for clinical pharmacist instructor training established through the reform by literature review. The “learning assessment” and “reaction assessment” were conducted by using Kirkpatrick’s four-level model of evaluation in order to evaluate the effectiveness of the clinical pharmacist instructor training reform through statistically processing and analyzing the performance data and teaching evaluation data of the instructor participants. Based on problem and trend analysis， the future development directions were anticipated for the reform of clinical pharmacist instructor training. RESULTS & CONCLUSIONS The latest round of clinical pharmacist instructor training reform initiated by the Chinese Hospital Association had initially established a four-pronged training system encompassing “recruitment， training， assessment， and management”. It had also forged a training 。 model “oriented towards enhancing clinical teaching competency， with practical learning and skill-based assessment conducted on clinical teaching sites as its core”. Following a period of over three years of gradual reform， the new training system and model became increasingly mature. In both 2023 and 2024， the participants achieved relatively high average total scores in their initial completion assessments [with scores of （84.05± 5.83） and （85.82±4.35） points， respectively]. They also reported a strong sense of gain from the training reform [with self- perceived gain scores of （4.80±0.44） and （4.85±0.39） points， respectively]. The operation and implementation effects of the reform were generally satisfactory. In the future， clinical pharmacist instructor training reforms should continue to address the issues remaining from the current phase， while aligning with global trends in pharmacy education and industry development. Additionally， sustained exploration and practice will be carried out around the core objective of “enhancing clinical teaching competence”.

Objective To investigate the factors affecting the occurrence of new postoperative cardiac complications in patients undergoing esophageal cancer surgery with concomitant coronary heart disease. Methods Clinical data of patients who underwent esophageal cancer surgery with coronary heart disease at the Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University from December 2019 to June 2023 were collected. Patients were divided into two groups based on whether they experienced postoperative cardiac complications. Using the occurrence of cardiac complications as the dependent variable, a multivariate logistic regression model was established to identify related influencing factors. Results A total of 223 patients were included, comprising 148 males and 75 females, with an average age of (71.78±6.31) years (range 53-88 years). Seventy-one (31.84%) patients experienced at least one new cardiac complication postoperatively, including 2 acute coronary syndrome, 13 heart failure, and 59 new-onset postoperative arrhythmias. Univariate analysis showed that age, systemic immune-inflammation index, pulmonary infection, need for invasive mechanical ventilation due to respiratory failure, acute respiratory distress syndrome (ARDS), acute delirium, pleural effusion requiring drainage, and acute renal failure were risk factors for postoperative new-onset cardiac complications (all P<0.05). Multivariate logistic regression analysis identified age, postoperative length of hospital stay, ARDS, and systemic immune-inflammation index as independent risk factors for new cardiac complications in esophageal cancer patients with coronary heart disease. Conclusion Strengthening perioperative management of esophageal cancer patients, ranging from preoperative evaluation to postoperative complication treatment, is crucial. Particular attention should be paid to age, ARDS, and other indicators to improve postoperative prognoses in patients with coronary heart disease complicated by esophageal cancer.

INTRODUCTION: Visual impairment and obesity remain the major public health issues among school-age students in rural areas of China. Obesity is an underlying risk of vision problems. This study aimed to assess the association between visual impairment and body mass index (BMI) among school-age students in rural northwest China. METHODS: This study included 39,385 students from the 4 th to 9 th grade in rural northwest China. From 2018 to 2020, students underwent an assessment of visual acuity (VA) and completed a questionnaire on family demographics, and height and weight measurements. Multiple logistic regression analyses were used to analyse the data. RESULTS: The association between visual impairment and BMI groups was significant in the study population ( P = 0.002) and in different groups (at the different educational, provincial and national levels) ( P < 0.001, separately). Multiple logistic regression analyses revealed a positive relationship between visual impairment and obesity in the study population, including those attending primary school, Han students and the residents of Ningxia autonomous region. CONCLUSION The association between visual impairment and obesity was significant among school-age students in rural northwest China. There should be implementation of policies to address the problem about visual impairment and obesity among school-age students in rural areas.
Humans ; China/epidemiology* ; Body Mass Index ; Male ; Female ; Rural Population ; Vision Disorders/complications* ; Child ; Adolescent ; Students ; Surveys and Questionnaires ; Logistic Models ; Obesity/complications* ; Visual Acuity ; Cross-Sectional Studies