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 investigate lipid metabolism gene mutations and pathogenicity of hypertriglyceridemia acute pancreatitis (HTG-AP) patients.Methods:Clinical data of 495 HTG-AP patients admitted from June 2018 to June 2020 in the center for severe acute pancreatitis of Eastern Theater General Hospital were retrospectively analyzed. Whole-exome sequencing and mutation verification were performed by next-generation sequencing technology and Sanger sequencing. The pathogenicity of gene mutation was analyzed by population mutation ratio, pathogenicity prediction software, conservation scoring software, protein structure prediction, and in vitro experiments. Results:The mutation ratio of lipid metabolism-related genes, namely LPL, APOA5, LMF1, GPIHBP1, and APOC2, were 14.81%, 55.78%, 43.61%, 1.62%, and 0.61%, respectively. Among them, 44 heterozygous mutations in LPL gene were detected including 36 missense mutations, 5 nonsense mutations and 3 frameshift mutations, which were all rarely carried in single patient. Six HTG-AP patients carried the LPL gene heterozygous mutation c.835C>G (p.Leu279Val). The mean level of serum triglyceride at the onset of HTG-AP was 27.4 mmol/L. All of them had a history of recurrent HTG-AP, and most of them had severe acute pancreatitis. The serum LPL concentration and activity were lower than the normal level. The pathogenicity analysis results suggested that the LPL p.Leu279Val was a rare, highly possible pathogenic and highly conserved gene mutation. The in vitro results showed that the LPL p.Leu279Val could significantly reduce the synthesis and secretion ability of LPL as well as its enzymatic activity. Conclusions:The mutation ratio of lipid metabolism-related genes, including LPL, APOA5, LMF1, GPIHBP1, and APOC2, are relatively high in the HTG-AP patients. The LPL p.Leu279Val is a rare and highly possible pathogenic gene mutation, which may lead to recurrent episodes of HTG-AP.

Objective:To identify risk factors for developing infected pancreatic necrosis (IPN) in female hypertriglyceridemia-induced acute pancreatitis (HTG-AP) patients with childbearing age.Methods:A retrospective analysis was conducted on clinical data from 460 female HTG-AP patients with childbearing age admitted to Eastern Theater General Hospital of the Chinese People's Liberation Army between December 2013 and December 2022. Patients were divided into the IPN group ( n=140) and non-IPN group ( n=320) based on the occurrence of IPN. General clinical data, laboratory test results and clinical outcomes were compared between the two groups. Univariate and multivariate logistic regression models were used to analyze the risk factors for IPN in reproductive-age HTG-AP patients. Results:Among the 460 patients, 140 (30.4%) developed IPN. Compared with the non-IPN group, the IPN group had a significantly higher proportion of pregnant patients (30.0% vs 10.9%, P<0.001) and a lower proportion with a history of acute pancreatitis (12.9% vs 31.3%, P<0.001). Laboratory findings showed that patients in the IPN group had lower levels of hemoglobin and albumin, but higher levels of blood urea nitrogen and serum creatinine. Clinical outcomes showed that the IPN group had significantly higher rates of severe acute pancreatitis and mortality compared to the non-IPN group. Additionally, the median length of ICU stay and total hospital stay in the IPN group were significantly longer, at 16.5 days and 32.0 days, respectively. Univariate logistic regression analyses showed that pregnancy, previous history of acute pancreatitis, and levels of hemoglobin, total bilirubin, albumin, blood urea nitrogen and creatinine were significantly associated with IPN. Multivariate logistic regression analysis revealed that pregnancy ( OR=2.617, 95% CI 1.494-4.210, P=0.001), a history of acute pancreatitis ( OR=0.339, 95% CI 0.189-0.711, P=0.002), hemoglobin level ( OR=0.945, 95% CI 0.939-0.987, P<0.001), and blood urea nitrogen level ( OR=1.173, 95% CI 1.056-1.198, P=0.004) were independently associated with the occurrence of IPN. Conclusions:Pregnancy, a first episode of acute pancreatitis, lower hemoglobin levels and higher blood urea nitrogen levels are independent risk factors for IPN in female HTG-AP patients with childbearing age.

Objective:To investigate lipid metabolism gene mutations and pathogenicity of hypertriglyceridemia acute pancreatitis (HTG-AP) patients.Methods:Clinical data of 495 HTG-AP patients admitted from June 2018 to June 2020 in the center for severe acute pancreatitis of Eastern Theater General Hospital were retrospectively analyzed. Whole-exome sequencing and mutation verification were performed by next-generation sequencing technology and Sanger sequencing. The pathogenicity of gene mutation was analyzed by population mutation ratio, pathogenicity prediction software, conservation scoring software, protein structure prediction, and in vitro experiments. Results:The mutation ratio of lipid metabolism-related genes, namely LPL, APOA5, LMF1, GPIHBP1, and APOC2, were 14.81%, 55.78%, 43.61%, 1.62%, and 0.61%, respectively. Among them, 44 heterozygous mutations in LPL gene were detected including 36 missense mutations, 5 nonsense mutations and 3 frameshift mutations, which were all rarely carried in single patient. Six HTG-AP patients carried the LPL gene heterozygous mutation c.835C>G (p.Leu279Val). The mean level of serum triglyceride at the onset of HTG-AP was 27.4 mmol/L. All of them had a history of recurrent HTG-AP, and most of them had severe acute pancreatitis. The serum LPL concentration and activity were lower than the normal level. The pathogenicity analysis results suggested that the LPL p.Leu279Val was a rare, highly possible pathogenic and highly conserved gene mutation. The in vitro results showed that the LPL p.Leu279Val could significantly reduce the synthesis and secretion ability of LPL as well as its enzymatic activity. Conclusions:The mutation ratio of lipid metabolism-related genes, including LPL, APOA5, LMF1, GPIHBP1, and APOC2, are relatively high in the HTG-AP patients. The LPL p.Leu279Val is a rare and highly possible pathogenic gene mutation, which may lead to recurrent episodes of HTG-AP.

Objective:To identify risk factors for developing infected pancreatic necrosis (IPN) in female hypertriglyceridemia-induced acute pancreatitis (HTG-AP) patients with childbearing age.Methods:A retrospective analysis was conducted on clinical data from 460 female HTG-AP patients with childbearing age admitted to Eastern Theater General Hospital of the Chinese People's Liberation Army between December 2013 and December 2022. Patients were divided into the IPN group ( n=140) and non-IPN group ( n=320) based on the occurrence of IPN. General clinical data, laboratory test results and clinical outcomes were compared between the two groups. Univariate and multivariate logistic regression models were used to analyze the risk factors for IPN in reproductive-age HTG-AP patients. Results:Among the 460 patients, 140 (30.4%) developed IPN. Compared with the non-IPN group, the IPN group had a significantly higher proportion of pregnant patients (30.0% vs 10.9%, P<0.001) and a lower proportion with a history of acute pancreatitis (12.9% vs 31.3%, P<0.001). Laboratory findings showed that patients in the IPN group had lower levels of hemoglobin and albumin, but higher levels of blood urea nitrogen and serum creatinine. Clinical outcomes showed that the IPN group had significantly higher rates of severe acute pancreatitis and mortality compared to the non-IPN group. Additionally, the median length of ICU stay and total hospital stay in the IPN group were significantly longer, at 16.5 days and 32.0 days, respectively. Univariate logistic regression analyses showed that pregnancy, previous history of acute pancreatitis, and levels of hemoglobin, total bilirubin, albumin, blood urea nitrogen and creatinine were significantly associated with IPN. Multivariate logistic regression analysis revealed that pregnancy ( OR=2.617, 95% CI 1.494-4.210, P=0.001), a history of acute pancreatitis ( OR=0.339, 95% CI 0.189-0.711, P=0.002), hemoglobin level ( OR=0.945, 95% CI 0.939-0.987, P<0.001), and blood urea nitrogen level ( OR=1.173, 95% CI 1.056-1.198, P=0.004) were independently associated with the occurrence of IPN. Conclusions:Pregnancy, a first episode of acute pancreatitis, lower hemoglobin levels and higher blood urea nitrogen levels are independent risk factors for IPN in female HTG-AP patients with childbearing age.

Objective:To investigate the efficacy and prognosis of CLAG±DAC (Clofarabine, Cytarabine, G-CSF±Decitabine) chemotherapy in patients with relapsed/refractory acute myeloid leukemia (R/R AML) .Methods:Continuous cases of R/R AML treated with the CLAG+DAC protocol or CLAG alone at the First Affiliated Hospital of Soochow University from January 2017 to December 2021 were retrospectively analyzed. The baseline characteristics, individual treatment regimen, treatment effect, disease progression, and survival status of patients were recorded. The factors influencing the efficacy of the CLAG±DAC chemotherapy regimens were analyzed, and the overall survival (OS) time after reinduction was calculated using the Kaplan-Meier method.Results:This study included a total of 53 patients, with 33 male patients and an average age of 40.6 years. Thirty-three patients achieved complete remission (CR+CRi) of the disease after the CLAG±DAC chemotherapy regimen and six patients achieved partial remission (PR), while 14 did not. Thirty-two patients eventually underwent hematopoietic stem cell transplantation, and the median OS of the patients was 55.9 months until follow-up. Patients with disease remission after the application of the CLAG±DAC chemotherapy had a significantly longer survival time than those without remission ( P<0.001). The results of the multifactorial analysis have revealed that combined DAC ( OR=4.60, 95% CI 1.14-23.5, P=0.04) and DNMT3A mutation ( OR=0.14, 95% CI 0.01-0.89, P=0.05) were the factors influencing the efficacy of the CLAG±DAC chemotherapy regimen. The remission rate was relatively higher in patients with R/R AML combined with FLT3-ITD mutation by applying the DAC+CLAG regimen ( OR=10.84, 95% CI 1.48-288.50, P=0.04) . Conclusion:The CLAG±DAC regimen is considered effective in patients with R/R AML, whereas decitabine combined with the CLAG regimen is more suitable for patients with R/R AML combined with FLT3-ITD mutation.

Purpose/Significance To explore the application and predictive accuracy of various models in predicting the risk of ather-osclerosis in diabetic patients.Method/Process Based on the biochemical data table from the"Diabetes Complications Warning Dataset"provided by the National Population Health Science Data Center,MATLAB software is used to construct risk prediction models for diabe-tes-induced atherosclerosis.The models are built by using k-nearest neighbors(KNN),decision trees,backpropagation(BP)neural networks,and Naive Bayes algorithms,and which are subjected to comparative analysis.Result/Conclusion In terms of effectiveness,the predictive accuracy of Naive Bayes algorithm is the highest(61.6％),followed by the decision tree model(58.2％),the KNN mod-el(57.7％),and the BP neural network model(55.9％).The results of the confusion matrix and the receiver operating characteristic(ROC)curve indicate that the Naive Bayes model performs best.When comparing the models in terms of effectiveness,performance and stability,the Naive Bayes model is superior.

Objective To analyze the risk factors influencing the occurrence of atherosclerosis in patients with type 2 diabetes, and to construct and evaluate a nomogram prediction model. Methods Multivariate logistic regression was used to analyze the risk factors of atherosclerosis in type 2 diabetes mellitus, and R software was used to build a nomogram prediction model. The accuracy and clinical validity of the model were verified by using H-L fit curve, area under ROC curve and calibration curve. Results The prevalence rate of atherosclerosis was 56.37%. Independent risk factors for atherosclerosis in type 2 diabetes mellitus (P<0.05) were body weight (OR=1.42，P<0.05), glycated serum protein (OR=1.35, P<0.05), lactate dehydrogenase (OR=1.17, P<0.05), alkaline phosphatase (OR=0.79, P<0.05), hyperlipidemia (OR=2.30, P<0.05), stroke (OR=4.20, P<0.05), coronary heart disease (OR=64.54, P<0.05), lower extremity artery disease (OR=24.52, P<0.05), and other endocrine diseases (OR=1.65 , P<0.05). The area under ROC curve was 0.91, the slope of the calibration curve was close to 1, and the H-L fit curve χ²=3.11. The internal verification result of the constructed nomogram prediction model was P=0.93. External verification of patients in the test set showed that the area under ROC curve was 0.91, indicating good differentiation and accuracy of the model. Conclusion The prediction model established by using the risk factors screened in this study has a high accuracy and differentiation, and medical staff can take effective prevention measures according to the individual factors of patients.

Objective To quantitatively analyze and evaluate the content of rehabilitation policy for people with disabilities in China. Methods This study focused on ten national policies of disability rehabilitation issued from 2021 to 2023.It employed text mining techniques to process policy texts and constructed a policy modeling consistency index model for dis-ability rehabilitation policies in China.The relevant policies were evaluated and analyzed quantitatively. Results The disability rehabilitation policies in China were relatively comprehensive in terms of policy transparency,op-erational mechanisms and policy nature.However,there was still a need for optimization in terms of policy per-spectives,target groups,incentive mechanisms,and other aspects. Conclusion The overall quality of disability rehabilitation policy texts at the national level in China is relatively good.There is a need to further enhance the predictability of policy objectives,clarify the responsibilities and division of labor among various departments,and improve policy incentive mechanisms in future policy formulation,which will further refine China's disability rehabilitation policy system and contribute to high-quality develop-ment of the disability cause.

Objective To assess the elderly health-related rehabilitation services(HRRS)needs from a community and population perspective and construct a community-based elderly HRRS framework. Methods The limitation of the elderly HRRS was analyzed,a community-based elderly rehabilitation service framework based on the International Classification of Functioning,Disability,and Health(ICF)was guided,and the imple-mentation path was proposed. Results This paper analyzed the evaluation,provision and models of existing community rehabilitation services both do-mestically and internationally.It combined the background and practical requirements of China's new era to eluci-date the connotation of HRRS for the elderly in the community.It proposed constructing a community-based el-derly HRRS framework guided by ICF.The paper also offered implementation strategies for promoting communi-ty-based elderly HRRS,focusing on enhancing leadership and policy,financing,human resources,service provi-sion,technology,and digital intelligence empowerment.It provided reference and insights for advancing the na-tional strategy of population aging and implementing the Healthy China strategy. Conclusion It is suggested to continue to accelerate the development of rehabilitation capacity,and increase the supply of HRRS,to meet the diverse needs of the masses of HRRS.