ObjectiveTo develop a community-family management model for older adults with mild cognitive impairment (MCI) and to formulate detailed application specifications, and to fully leverage the initiative of communities and families under limited resource conditions, for achieving community-based early detection and early intervention for older adults with MCI. MethodsA systematic literature review was conducted to identify pertinent publications. Corpus-based research methodologies were employed to extract, refine, integrate and synthesize management elements, thereby establishing the specific content and service processes for each stage of the management model. Utilizing the 5W2H analytical framework, essential elements such as management stakeholders, target populations, content and methods for each stage were delineated. The model and its application guidelines were finalized through expert consultation and demonstration. ResultsAn expert evaluation of the management model yielded mean scores of 4.84, 4.32 and 4.84 for acceptability, feasibility and systematicity, respectively. By integrating the identified core elements with expert ratings and feedback, the final iteration of the community-family management model for older adults with MCI was formulated. This model comprised of five stages: screening and identification, comprehensive assessment, intervention planning, monitoring and referral pathways to ensure implementation, and enhanced support for communities, family members and caregivers. Additionally, it included 18 specific application guidelines. ConclusionThe proposed management model may theoretically help delay cognitive decline, improve cognitive function and potentially promote reversal from MCI to normal cognition. It may also enhance the awareness and coping capacity of older adults and their families, strengthen community healthcare professionals' ability to early identify and manage MCI.

OBJECTIVE To explore the transformation of the dispensing and drug pickup process in traditional Chinese medicine pharmacy （TCM Pharmacy） in our hospital based on data-intelligence-driven， aiming to improve pharmacists’ work efficiency and patients’ drug pickup experience. METHODS Value stream mapping and journey mapping were used to systematically identify non-value-added links in pharmacists’ dispensing process and key pain points in patients’ drug pickup under the traditional process. An intelligent dispensing and drug pickup system for the TCM Pharmacy was developed based on the C# and Android television platforms， and a machine-learning model was adopted to predict patients’ drug pickup waiting time. A comprehensive evaluation was performed from three perspectives： system performance， prediction accuracy， and satisfaction of pharmacists and patients. RESULTS The system successfully streamlined non-value-added links such as “waiting for writing on the board” and “searching for drugs”， and realized multimodal dynamic prompts of dispensing status through auditory （number calling） and visual （television terminal） channels. The constructed model for predicting drug pickup waiting time exhibited good fitting degree and generalization ability （mean absolute error＝4.28 min， R 2 ＝0.882）. The comprehensive satisfaction scores of pharmacists and patients in the traditional mode were significantly increased from （70.99±1.74） and （73.58±1.98） to （90.02±1.30） and （88.61±2.08） in the new system， respectively （ P ＜0.01）. CONCLUSIONS The transformation of the intelligent drug dispensing and pickup system for TCM pharmacy based on data-intelligence-driven effectively improves the efficiency of pharmacists’ dispensing work， realizes process transparency and waiting time predictability， and significantly enhances patients’ drug pickup experience.

AIM: To compare the effectiveness of foldable capsular body(FCB)with traditional scleral buckling(SB)in the treatment of experimental retinal detachment animal models.METHODS: After successfully establishing rhegmatogenous retinal detachment(RRD)animal models, 24 New Zealand white rabbits were randomly divided into three groups(RRD models group, SB group, and FCB group), with 8 rabbits in each group. The FCB and SB groups underwent SB and FCB surgeries for the RRD animal models, while the RRD models group only consists of RRD models without any surgical intervention during the follow-up period. The follow-up duration was 3 mo. Wide-field neonatal fundus imaging system and ophthalmic B-ultrasound were used to assess the fundus conditions before and after surgery. The Icare® TONOVET Plus tonometer was utilized to evaluate intraocular pressure changes before and after surgery. The Eaton and Draize scoring systems were selected to monitor postoperative inflammatory reactions.RESULTS: The retinal reattachment rates in the FCB and SB groups were 87.5% and 75.0%, respectively, with no statistically significant difference between the groups(P>0.05). The intraocular pressure in both the FCB and SB groups increased postoperatively compared to preoperative levels(P<0.01), and there were no significant differences in intraocular pressure at any time points during the follow-up period between the groups(P>0.05). The intraocular pressure in the RRD models group remained at a low level throughout the follow-up period. The average surgical time for the FCB group was 16.87±2.29 min, which was shorter than 46.25±4.74 min in the SB group(t=-15.166, P<0.001). According to the Eaton and Draize scoring systems, the FCB group had lower grades of conjunctival hyperemia and edema in the early postoperative period compared to the SB group, indicating milder inflammatory reactions(P<0.05).CONCLUSION: Both FCB and SB are effective in treating experimental RRD. Compared to SB, FCB is simpler to operate, and also has a shorter surgical time and milder postoperative inflammatory reactions.

The view of youth moral cultivation clearly defines the scope of “morality” and puts forward the requirement of “cultivating morality” for the youth. This is a systematic concept aligned with the main theme of the times and is worth deeply exploring and integrating into the practice of medical ethics education for medical students. With the requirements for innovation and development in medical education， the cultivation of medical students has also been endowed with new connotations. Guided by the connotations of the view of youth moral cultivation and aligned with the objective requirements of medical students’ cultivation， this paper leveraged the core values of traditional Chinese medicine as its entry point. It also explored the realization paths of medical ethics education for medical students that reflect advantages， highlight characteristics， and maintain clear orientation through strengthening the medical ethics education of “dedicated study of medicine，” “honesty and prudence in words and deeds，” “benevolence in heart and skills，” and “doctor-patient trust and harmony，” aiming to cultivate guardians of people’s health with noble medical ethics and superb medical skills.

This paper reviews the published articles of recent years on the application of deep learning methods in automatic localization of acupoint, and summarizes it from 3 key links, i.e. the dataset construction, the neural network model design, and the accuracy evaluation of acupoint localization. The significant progress has been obtained in the field of deep learning for acupoint localization, but the scale of acupoint detection needs to be expanded and the precision, the generalization ability, and the real-time performance of the model be advanced. The future research should focus on the support of standardized datasets, and the integration of 3D modeling and multimodal data fusion, so as to increase the accuracy and strengthen the personalization of acupoint localization.
Deep Learning ; Acupuncture Points ; Humans ; Neural Networks, Computer

ObjectiveTo establish preliminary diagnostic criteria for spleen and kidney deficiency syndrome in ischemic stroke patients and provide a basis for standardized diagnosis and treatment of ischemic stroke. MethodsRelevant literature on the diagnostic criteria for spleen and kidney deficiency syndrome in ischemic stroke patients was retrieved， and data were mined and extracted to form an item pool. Based on the formation of the item pool， this study used the Delphi method to initiate two rounds of questionnaire surveys with selected experts to complete the initial screening of items and the discrimination of symptom importance. A prospective clinical investigation method was adopted to collect clinical information from patients， and statistical analysis methods and data mining techniques were comprehensively used to determine their primary and secondary symptoms. Based on the clear main and secondary symptoms identified， combined with expert group discussions， the study established preliminary diagnostic criteria for spleen and kidney deficiency syndrome in ischemic stroke patients. ResultsA total of 25 relevant syndrome differentiation standards were included. After splitting， standardizing， and screening the items， the study established a pool of 48 items. The first round of questionnaire survey consulted 30 experts， with both the positive coefficient of experts and the effectiveness rate of the questionnaire reaching 100%. The Kendall's coefficient of concordance was 0.359. According to the item screening criteria， 26 items were retained in this round of questionnaire survey. A total of 176 cases were collected through clinical information investigation， including 94 cases with spleen and kidney deficiency syndrome and 82 cases without spleen and kidney deficiency syndrome. The statistical results were as follows： ① Descriptive statistics： The main symptoms with a frequency of ≥ 30% included mental fatigue and lack of strength， weakness of the lower back and knees， etc. The secondary symptoms with a frequency of ≥ 10% and ≤ 30% were lassitude and disinclination to talk， shortness of breath， etc. ② Binary logistic regression analysis： The main symptoms with an odds ratio （OR） value of ≥ 3 were mental fatigue and lack of strength， weakness of the lower back and knees， etc. The secondary symptoms with an OR value of ≥ 1 and ≤ 3 were lassitude and disinclination to talk， shortness of breath， etc. Artificial neural network： The main symptoms with a weight value（W_ij）of ≥ 0.5 and < 1 were mental fatigue and lack of strength， lassitude and disinclination to talk， etc. The secondary symptoms with W_ij of ≥ 0.3 and < 0.5 were shortness of breath， flaccid limbs， etc. In the second round of questionnaire survey， a total of 37 experts were consulted， with both the positive coefficient of experts and the effectiveness rate of the questionnaire reaching 100%. The Kendall's coefficient of concordance was 0.237. According to the criteria to determine primary and secondary symptoms based on the Delphi method， the main symptoms included in this round of the questionnaire were mental fatigue and lack of strength， lassitude and disinclination to talk， etc.， and the secondary symptoms were shortness of breath， dizziness， etc. ConclusionThe main symptoms of spleen and kidney deficiency syndrome in ischemic stroke patients are mental fatigue and lack of strength， weakness of the lower back and knees， loose stool， pale and edematous tongue texture possibly with tooth marks， and deep and thready pulse or weak pulse. The secondary symptoms include shortness of breath， dizziness， tinnitus and deafness， decreased appetite or postprandial abdominal distension， pale complexion， frequent micturition at night， dull tongue texture， and white and slippery tongue coating. The preliminarily established diagnostic criteria for spleen and kidney deficiency syndrome in ischemic stroke patients can provide a standardized and objective basis， thereby better guiding clinical diagnosis and treatment of ischemic stroke.

[Purpose]To analyze the trends of incidence and age at onset of leukemia in Jiangsu cancer registration areas from 2009 to 2019.[Methods]The continuous monitoring data of leukemia from 2009 to 2019 were collected from 16 cancer registries in Jiangsu Province.All datasets were checked and evaluated based on data quality control criteria and were included in the analysis.Crude incidence rate(CIR),age-standardized incidence rate by Chinese standard population(ASIRC),the average annual percentage change(AAPC),the standardized average age at onset,the changes in the age structure of incidence and the changes in the birth cohort by year were calculated.[Results]The incidence rate of leukemia significantly increased from 5.22/105 in 2009 to 7.88/105 in 2019,with a significant upward trend(for CIR,AAPC=4.95％,95％CI:3.82％～6.09％;for ASIRC,AAPC=2.97％,95％CI:1.52％～4.43％).The incidence rates were in-creased in all age groups and increased with the birth cohort by years.There was a tendency of backward shift for the age composition of the population,with the increasing of composition for those over 60 years old.The mean age at onset increased from 48.62 years old in 2009 to 57.96 years old in 2019,with a backward shift in the mean age(β=0.773,P＜0.001),and the mean age at onset increased with the year only in rural areas after standardization(β=0.428,P=0.017).[Conclusion]Leukemia incidence rate in Jiangsu Province increased from 2009 to 2019,and the age at onset has shifted backwards.It's important to strengthen the early prevention and control of leukemia.

Objective:To characterize the vaginal flora of pregnant women during the second trimester using full-length 16S rRNA sequencing.Methods:A total of 142 pregnant women were systematically sampled from a pregnancy cohort. Vaginal swabs were collected for full-length 16S rRNA gene sequencing，and bioinformatics analysis was performed to characterize the vaginal microbiota and identify associated influencing factors.Results:Among the 142 pregnant women，the most frequently detected species were Lactobacillus iners（83.10%，118/142）and Lactobacillus crispatus（49.30%，70/142）. The majority of samples（90.85%，129/142）were classified as Lactobacillus-dominant vagitypes，with the Lactobacillus iners vagitype accounting for 48.59%（69/142）and the Lactobacillus crispatus vagitype accounting for 38.73%（55/142）. The vaginal microbiota was clustered into five community state types（CSTs）：Ⅰa，Ⅰb，Ⅲa，Ⅲb，and Ⅳ. The most prevalent CSTs were Lactobacillus iners-dominated CST-Ⅲ（51.41%，73/142）and Lactobacillus crispatus-dominated CST-Ⅰ（24.65%，35/142）. No samples were classified as CST-Ⅱ or CST-Ⅴ. A significant negative correlation was observed between Lactobacill and vaginosis-associated bacteria. Age，alcohol consumption，smoking，and vaginal treatments showed significant associations or trends toward significance with various Alpha diversity indices. Vaginal douching was associated with CST clustering，while obstetric history（primiparity，previous miscarriage history）was associated with vagitype classification. However，no significant associations were identified between maternal baseline characteristics and Beta diversity indices. Conclusions:Full-length 16S rRNA gene sequencing reveals that the vaginal microbiota of pregnant women is dominated by Lactobacillus iners and Lactobacillus crispatus. Maternal age，lifestyle factors such as smoking and alcohol consumption，and obstetric history are significantly associated with variations in vaginal microbiota composition.

Objective:To investigate the association between adiponectin-related copy number variation (CNV) region (CNVR) and gestational diabetes mellitus (GDM).Methods:Pregnant women who had prenatal screening in Anqing Municipal Hospital, Anhui Province, from February 2018 to December 2020 were surveyed for baseline information collection, and blood samples were collected. The outcome information was obtained by post pregnancy follow-up. Latex-enhanced immunoturbidimetry and ASA-CHIA chip were used to detect serum adiponectin levels and CNV of pregnant women, respectively. After genotyping, CNV data were processed with software PennCNV 1.0.5 following standard quality control procedure. CNVR were identified and integrated by using software R 4.3.3. Then the associations between CNVR and adiponectin was evaluated, and gene annotation and over-representation analysis were conducted. The log-binomial regression model was used to adjust relevant covariates and analyze the association between adiponectin-related CNVR and GDM.Results:The detection rate of GDM was 9.54% (176/1 845) in the pregnant women. The genotyping information of 1 840 people (99.73%) passed quality evaluation. A total of 33 878 CNVs were identified, and 1 449 CNVRs were obtained after integration. After the false discovery rate method correction, CNVR_132 (CHR2: 47611743-47635062), CNVR_254 (CHR3: 10182703-10183872), CNVR_691 (CHR7: 150637053-150834539) and CNVR_1101 (CHR14: 104248431-104830620) were correlated with adiponectin levels (all P<0.05). Over- representation analysis showed that the molecular function of ribonucleotide binding [Gene Ontology (GO): 0032553] was significantly enriched based on the GO database. The log-binomial regression model, adjusting age, pre-pregnancy BMI, history of miscarriage, smoking history, and family history of diabetes, indicated that CNVR_132 (CHR2: 47611743-47635062) and CNVR_1101 (CHR14: 104248431-104830620) were not statistically associated with the risk for GDM (both P>0.05). However, CNVR_254 (CHR3: 10182703-10183872, a RR=1.83, 95% CI: 1.15-2.91) and CNVR_691 (CHR7: 150637053-150834539, a RR=1.73, 95% CI: 1.23-2.43) might be associated with an increased risk for GDM (all P<0.05). Conclusion:Adiponectin-related CNVR_254 (CHR3: 10182703-10183872) and CNVR_691 (CHR7: 150637053-150834539) might be risk factors for the incidence of GDM.

Crohn's disease (CD) is a refractory and recurrent chronic inflammatory bowel disease with an unclear etiology. In addition to intestinal symptoms, the disease is often accompanied by various extraintestinal manifestations. Studies have found that abnormalities in central nervous system activity in CD patients are closely related to the brain-gut axis, which may be one of the reasons for the high incidence of adverse emotions such as anxiety and depression. Functional magnetic resonance imaging (fMRI) has been widely used in the field of neurogastroenterology due to its non-invasiveness, high spatial resolution, and whole-brain coverage. This article reviews the application and progress of fMRI in CD brain functional study, aiming to comprehensively analyze and integrate the impact of the disease on brain function and provide a reference for clinical diagnosis, treatment, and future research.