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 the effect of bone metabolic markers on sarcopenia in elderly patients with type 2 diabetes mellitus (T2DM). Methods A total of 412 patients with T2DM in the department of endocrinology of Nanjing Central Hospital from May 2020 to June 2025 were selected as the research subjects. According to Asian Working Group for Sarcopenia (AWGS) in 2019, these patients were evaluated for skeletal muscle mass index (ASMI), muscle strength, and muscle function, and were divided into a sarcopenia group (84 cases) and a non-sarcopenia group (328 cases). The glucolipid metabolic indexes were detected in both groups of patients, and the bone metabolic markers were evaluated, including procollagen type 1 N-terminal peptide (P1NP), beta-C-terminal telopeptide of type 1 collagen (β-CTX), and 25-hydroxy vitamin D [25-(OH)D]. The factors influencing the occurrence of sarcopenia in T2DM patients were analyzed by logistic regression analysis, and the diagnostic values of bone metabolic markers on sarcopenia in patients with T2DM were assessed by ROC curve. Results The levels of P1NP and 25-(OH)D were lower, while β-CTX level was higher in the sarcopenia group compared to the non-sarcopenia group, with statistical differences (P<0.05). After logistic correlation analysis, it was found that P1NP, β-CTX and 25-(OH)D were all influencing factors for the occurrence of sarcopenia in T2DM patients. ROC curve analysis suggested that combined detection of PINP, β-CTX, and 25-(OH)D had higher diagnostic value, with an area under the curve up to 0.805. Conclusion The abnormal expression of bone metabolic markers is associated with the increased risk of sarcopenia in patients with T2DM. The detection of serum bone metabolic markers expression level is of certain significance for the assessment of diabetes-related sarcopenia.

ObjectiveTo systematically assess the public health governance capacity in Zhejiang Province, to conduct an in-depth analysis of its strengths and weaknesses, so as to provide scientific basis and strategic recommendations for further enhancement. MethodsA systematic collection of policy documents, public information reports, and research literature related to public health governance capacity in Zhejiang Province from 2002 to 2023 was conducted (encompassing a total of 1 263 policy documents, 138 pieces of information reports and 631 research articles). Based on the evaluation criteria suitable for public health systems previously developed by the research team, the basic status and magnitude of change in public health governance capacity in Zhejiang Province was evaluated. Additionally, normative gap analyses were employed to identify the strengths and weaknesses. ResultsZhejiang Province ranked 4th nationwide in terms of public health governance capacity with a score of 733.4 points (1 000.0-point maximum). The province has effectively implemented the principle of health first (scoring 698.5 points in the assessment of health-first strategy implementation) and attached sufficient importance to health-related goals (scoring 658.2 points in the scientific rationality of goal setting). However, the implementation of inter-departmental coordination and incentive mechanisms only scored 178.7 points, the feasibility of management and monitoring mechanisms scored even lower at only 144.0 points, and the coverage of incentive mechanisms scored 286.0 points. ConclusionZhejiang Province has effectively implemented its health first strategy and attached great importance to health targets, but still needs to strengthen cross-departmental coordination mechanisms and health-oriented incentives.

ObjectiveTo develop a full-process data platform of renal rehabilitation, diagnosis and quality control information. MethodsA hierarchical architectural design was proposed, adhering to clinical pathway models and standardized data protocols. The platform comprehensively covered assessment, intervention, follow-up and quality control for maintenance hemodialysis (MHD) patients. By integrating multidisciplinary resources and standardizing rehabilitation workflows, it delivered standardized and intelligent rehabilitation services. ResultsThe platform achieved standardized and intelligent management of rehabilitation services, effectively improved the physiological function, psychological state and quality of life convenience for MHD patients, while significantly reduced the economic and care burden on patients' families and society. ConclusionThe rehabilitation service model based on a full-process data platform may provide scientific and systematic support for MHD patients.

BackgroundIndividuals with chronic multimorbidity exhibit a high prevalence of sleep disturbances， which impair their physical and psychological well-being and impede chronic disease management. Although sleep quality is closely influencing with psychological functioning， empirical evidence regarding the longitudinal trajectories of sleep quality and their influencing factors in this population remains insufficient. ObjectiveTo investigate the longitudinal trajectories of sleep quality and associated factors among patients with chronic multimorbidity from hospitalization through 6 months post-discharge， aiming to facilitate the early identification of high-risk individuals and the development of personalized sleep interventions. MethodsA total of 228 inpatients with chronic multimorbidity， primarily with cardiovascular and metabolic chronic conditions， were enrolled via random sampling at The Third People's Hospital of Fuyang from January 2023 to September 2024. Baseline assessments were conducted during hospitalization using the general socio-demographic questionnaire， the Sleep Dysfunction Rating Scale （SDRS）， the Ruminative Response Scale （RRS）， and the Hospital Anxiety and Depression Scale （HADS）. Sleep quality was further evaluated using the SDRS at 1-， 3-， and 6-month post-discharge. Latent class growth model was employed to delineate trajectories of sleep quality. Multivariate logistic regression analysis was subsequently performed to identify influencing factors of sleep quality. ResultsA total of 201 patients with chronic diseases were included.Based on four predefined assessment time points （baseline， 1 month， 3 months， 6 months post-discharge）， the latent class growth model identified three distinct trajectories of sleep quality： persistent high sleep disturbance （n=72， 35.82%）， moderate sleep disturbance-progression （n=73， 36.32%）， and low sleep disturbance （n=56， 27.86%）. Multivariate logistic regression analysis revealed that， compared with the low sleep disturbance group， multiple factors increased the odds of membership in the persistent high sleep disturbance group： per capita monthly household income of <3 000 yuan （β=13.131， P<0.01） or 3 000–5 000 yuan （β=5.913， P<0.05）， aged 45–65 years （β=9.536， P<0.05）， presence of 3 （β=7.792， P<0.05） or >3 comorbid chronic conditions （β=6.626， P<0.05）， as well as higher RRS （β=0.334， P<0.01） and HADS score （β=1.628， P<0.01）. Additionally， patients aged 45–65 years （β=2.777， P<0.05）， with 3 （β=3.802， P<0.01） or >3 comorbid chronic conditions （β=2.463， P<0.01）， and with higher RRS （β=0.111， P<0.01） and HDAS scores （β=0.350， P<0.05） also demonstrated significantly increased odds of belonging to the moderate sleep disturbance–progression group. ConclusionThere is significant population heterogeneity in sleep quality trajectories among patients with chronic multimorbidity， with age， per capita household monthly income， number of comorbidities， rumination， and anxiety/depression symptoms being identify as the primary influencing factors.

Objective This study aims to investigate the work fatigue risks of clinical nursing staff in a tertiary hospital in Xingguo County and analyze the influencing factors,providing a reference for formulating scientific work processes and systems and improving nursing quality.Methods A convenience sampling was conducted to select 179 clinical nurses from a tertiary hos-pital in Xingguo County from March to April 2025.A self-designed general information questionnaire,a clinical nursing staff work fatigue risk assessment questionnaire,and the nurse work stressor scale were used for the investigation.Univariate and multiple linear regression analyses were conducted to identify the influencing factors of work fatigue risks.Results A total of 186 ques-tionnaires were distributed,with 7 excluded as invalid and 179 valid responses(96.24％).The work fatigue risk assessment score of the 179 clinical nurses was(84.39±10.26),indicating a relatively high level of fatigue.There were significant differ-ences in work fatigue risk scores across genders,weekly working hours,years of work experience,contract types,and work stress levels(P＜0.05).Multiple linear regression analysis showed that gender(B=0.624,95％CI=0.194～1.054),weekly work-ing hours(B=0.037,95％CI=0.067～0.007),years of work experience(B=0.028,95％CI=0.010～0.046),contract type(B=-0.517,95％CI=-0.997～-0.037),and work stress(B=0.127,95％CI=0.050～0.204)were the influen-cing factors of work fatigue risks(P＜0.05).Conclusion The work fatigue risks of clinical nursing staff in a tertiary hospital in Xingguo County are at a relatively high level.Gender,weekly working hours,years of work experience,contract type,and work stress are the main influencing factors.Nursing managers should pay attention to these factors and take targeted measures to inter-vene and reduce the work fatigue risks of nursing staff.

Diabetic retinopathy(DR)-related neovascular glaucoma(NVG)is a severe ocular complication of diabe-tes,characterized by a high blindness rate and complex diagnosis and treatment.Currently,there is a lack of systematic,whole-process management guidelines for DR-NVG in China.To standardize the clinical diagnosis,treatment,and health management of DR-NVG,domestic retinal disease and glaucoma experts have developed the first expert consensus on the whole-process management of neovascular glaucoma associated with diabetic retinopathy,by integrating the latest evi-dence-based medical evidence and clinical practice experience from both domestic and intemational sources.Centering on the disease characteristics of DR-NVG,this consensus proposes scientific and standardized whole-process management strategies,encompassing early screening and risk assessment,precise diagnosis and staging,multi-mode combination ther-apy,perioperative management,and long-term follow-up.It mainly covers the screening and diagnosis of high-risk popula-tions,the timing of anti-VEGF therapy and pan-retinal photocoagulation application,and indications for surgical interven-tion.The aim is to provide standardized guidance for ophthalmologists and public health workers,improve the prevention and treatment level of DR-NVG,and reduce the incidence of irreversible visual impairment.

Medical simulation-based assessments have emerged as a vital method for evaluating the clinical competence of healthcare professionals. These assessments provide examinees with opportunities to practice clinical skills in a controlled environment that mirrors real-life medical scenarios. However, assessment organizers must implement specific measures to ensure that these assessments yield valid and reliable results. The reliability of simulation-based assessments is a crucial component of quality assurance. This article delineates twelve practical recommendations to enhance the reliability of medical simulation-based assessments across the three key dimensions of raters, simulation environment, and assessment tools. These recommendations include ① selecting raters with relevant professional backgrounds and extensive experience in simulation-based teaching and assessment; ②providing raters with standardized training for the assessment; ③conducting mock ratings and piloting to reach consensus among raters; ④preventing excessive work hours or cognitively overload while rating; ⑤providing standardized personnel with adequate training and re-training; ⑥implementing immediate and long-term quality assurance measures for standardized patient role performance; ⑦maintaining consistent operation of simulation equipment; ⑧guaranteeing the simulation provides adequate functional fidelity for the examinees; ⑨clearly defining each element and item in assessment tools while controlling their quantity; ⑩ensuring consistency when multiple assessment tools are used; 11using assessment tools with evidence of construct validity when possible; and 12establishing systems to ensure consistency in data (scoring) collection while safeguarding data security. These strategies aim to assist medical educators in developing structured and reliable simulation-based assessment schemes.

Objective:To explore the value of paediatric age-adjusted shock index（SIPA）in early identification of septic shock in children，and to evaluate the relationship between SIPA and disease severity and prognosis.Methods:The infected children admitted to the department of critical care medicine of the Children's Hospital Affiliated to Capital Institute of Pediatrics from May 2023 to July 2024 were collected. Dynamic assessment was performed 0 to 6 hours after admission. Patients diagnosed with sepsis without septic shock were classified as the sepsis group and those diagnosed with sepsis with septic shock were classified as the septic shock group. According to whether the blood pressure of the children decreased，they were divided into two groups：compensated septic shock group and decompensated septic shock group. The difference of SIPA among the three groups was analyzed，and the predictive value of SIPA on case fatality rate，lactate level，pediatric critical illness score，ventilator utilization rate and length of hospital stay were analyzed.Results:Among 203 children with sepsis，112 were males and 91 were females. There were 146 cases in the sepsis group，37 cases in the compensated septic shock group and 20 cases in the decompensated septic shock group. There was no significant difference between the three groups in gender（ P>0.05），but there was a statistically significant difference in age（ χ 2=32.905， P<0.001）. There was no significant difference in age between the sepsis group and the compensated septic shock group（ P>0.05）. The age of sepsis group and decompensated septic shock group，compensated septic shock group and decompensated septic shock group were statistically significant（ χ 2=29.431， P<0.001； χ 2=19.764， P=0.001）. The proportion of increased SIPA was statistically different among the three groups，with both the compensated septic shock group and the decompensated septic shock group being higher than the sepsis group（ χ2=20.383， P<0.001； χ2=33.600， P<0.001）. The decompensated septic shock group was higher than the compensated septic shock group（ χ2=6.555， P=0.01）. SIPA was correlated with case fatality rate，lactate level，pediatric critical illness score，ventilator use rate and length of stay of the children，with statistically significant differences（ P<0.05）. Conclusion:The increase of SIPA can be used for the early identification of septic shock in children，and it has a certain early warning value for the prognosis assessment of sepsis and septic shock.

The aim of this study was to investigate the mechanism of quercetin in inhibiting the fer-roptosis induced by zearalenone(ZEN)via mediating the nuclear factor erythroid-2-related factor 2(Nrf2)/glutathione peroxidase 4(GPX4)signaling pathway.IPEC-J2 cells were cultured in vitro and treated with ZEN(25 mg/L)and different concentrations of quercetin(10,20,40 μmol/L).Bi-ochemical methods were used to detect the levels of lactate dehydrogenase(LDH)in the cell cul-ture medium supernatant,total antioxidant capacity(T-AOC),superoxide dismutase(SOD),glu-tathione(GSH),and malondialdehyde(MDA).Fluorescence probes were used to detect the levels of Fe2+,reactive oxygen species(ROS),and lipid peroxidation.Western blot was performed to de-tect the expression levels of Nrf2,long chain acyl CoA synthetase 4(ACSL4),and GPX4.The IPEC-J2 cells were divided into the control group,ZEN group,quercetin group,and ML385(Nrf2 inhibitor)+quercetin group for further analysis.Except for the control group,the other groups were treated with ZEN in the prescence of quercetin and ML385.The changes of Nrf2/GPX4 path-way-related proteins and ferroptosis-related indexes(LDH,Fe2+,MDA,and GSH)were detected.Compared with the control group,IPEC-J2 cells in the ZEN group exhibited a decrease in cell via-bility,T-AOC,and GSH,SOD levels,Nrf2,and GPX4 protein expressions(P＜0.05),while LDH release rate,Fe2+and ROS,lipid peroxidation,MDA levels,and ACSL4 protein expression de-creased in the ZEN group(P＜0.05).Compared with ZEN group,the cell viability,the levels of T-AOC,SOD and GSH,the protein expression of Nrf2 and GPX4 in quercetin groups were increased(P＜0.05),while the LDH release rate,the levels of Fe2+,ROS,lipid peroxidation,and MDA as well as the protein expression of ACSL4 were decreased(P＜0.05).Compared with the quercetin group,the protein expression of Nrf2 and GPX4 and the level of GSH in ML385+quercetin group reduced(P＜0.05),the LDH release rate and the levels of Fe2+and MDA increased(P＜0.05).In summary,quercetin could inhibit ZEN-induced ferroptosis of IPEC-J2 cells,and its mechanism may be related to the induction of Nrf2/GPX4 signaling pathway.