Abstract The prevention and control of myopia in Chinese children and adolescents has become a major public health issue. While maintaining increased outdoor activity as a cornerstone intervention, there is an urgent need to explore new complementary approaches that can be effectively implemented in both indoor and outdoor settings. In recent years, environmental spatial frequency has gained increasing attention as one of the key environmental factors influencing the development and progression of myopia. Both animal studies and human research have confirmed that indoor environments lacking mid to high spatial frequency components, often characterized as "visually impoverished", can promote axial elongation and myopia through mechanisms such as disruption of retinal neural signaling, impaired accommodative function, and altered expression of related molecules. Based on the scientific consensus, it is recommended that "enriching of environmental spatial frequency" should be integrated into the myopia prevention and control framework. Following the principles of schoolled organization, family cooperation, community involvement, and student participation, specific measures are put forward in three areas：optimizing school visual settings, improving home spatial environments, and promoting healthy visual behavior. The aim is to create "visually friendly" indoor environments as an important supplement to outdoor activity, thereby providing a novel perspective and strategy for comprehensively advancing myopia prevention and control among children and adolescents.

ObjectiveTo investigate the correlation between neutrophil-to-lymphocyte ratio （NLR）， platelet-to-lymphocyte ratio （PLR）， systemic immune-inflammation index （SII） and the severity of intrauterine adhesions （IUA）. MethodsThe retrospective study included 380 patients who underwent transcervical resection of adhesions （TCRA） from December 2019 to March 2025. Based on the American Fertility Society （AFS） classification， patients were divided into mild （n=61）， moderate （n=225）， and severe （n=94） groups. NLR， PLR， and SII were calculated from preoperative blood tests. Statistical analyses included Kruskal-Wallis test and ordinal Logistic regression. ResultsNLR， PLR， and SII were significantly higher in the severe IUA group compared to the mild group （P<0.05）， with SII showing the strongest predictive ability （OR=1.004， P=0.001）. The number of intrauterine procedures was an independent risk factor （OR=1.27/level， P=0.016）. The predictive model ［Logit（P）=-0.676+0.241×operation times+0.004×SII］ effectively identified severe IUA cases. ConclusionInflammatory markers （particularly SII） are correlated with IUA severity and may serve as non-invasive tools for clinical assessment.

BACKGROUND/OBJECTIVES: Unhealthy diets are associated with chronic stress. An allostatic load (AL) is a comprehensive physiological index that measures the chronic stress response of the body. As a healthy dietary pattern, the role of Dietary Approaches to Stop Hypertension (DASH) in the development of an AL during pregnancy remains unclear. This study examined the relationship between the DASH dietary pattern and AL during pregnancy. SUBJECTS/METHODS: This study was a prospective study. From January 2024 to November 2024, 134 pregnant women in the second trimester (23–27 weeks) and third trimester (32–36 weeks) of pregnancy who met the inclusion and exclusion criteria in the obstetrics clinic of a tertiary general hospital in Anhui Province were selected for a questionnaire survey, physical examination, and laboratory examination. The DASH dietary pattern was assessed using the DASH scoring tool, and the total AL score was calculated using nine biomarkers that represent the cardiovascular, metabolic, and immune systems. Logistic regression was used to analyze the relationship between the DASH score and AL. RESULTS: One hundred and thirty-four pregnant women were included in this study. At the second and third trimesters, 41.8% and 37% of pregnant women, respectively, were in the high AL group. The binary logistic regression results showed that the DASH score was negatively correlated with the AL in the unadjusted model (odds ratio [OR], 0.878; 95% confidence interval [CI], 0.807–0.957; P = 0.003) and adjusted model (OR, 0.878; 95% CI, 0.792–0.973; P = 0.013) in the second trimester, the DASH score was negatively correlated with the AL in the unadjusted model (OR, 0.832; 95% CI, 0.758–0.913; P < 0.001) and adjusted model (OR, 0.806; 95% CI, 0.716–0.908; P < 0.001) in the third trimester. CONCLUSION The DASH score was negatively correlated with the AL in pregnant women.A low DASH score may increase the risk of a high AL, which may have adverse effects on physical and mental health.

Reform of medical insurance payment methods,make DRG cost accounting an important part of hospi-tal management work.The choice of DRG cost accounting method affects the time of the accounting results to some extent,and also affects the accuracy of the accounting results,which turn affects the hospital's understanding of the surplus of medical insurance settlement and the corresponding control means.Taking a public hospital in Yunnan Province as an example,based on the theory of service unit superposition method,the DRG cost accounting method is improved,and the project cost accounting can be carried out synchron,which can produce the accounting results more simply and quickly,and lay the foundation for the further lean management of the hospital.

Three-dimensional(3D)printing technology,which is based on computer aided design,presents innovative solutions for clinical surgical treatments and is increasingly being utilized in clinical settings.By integrating medical-image processing software and a 3D printer with customized materials,physicians can efficiently fabricate a 3D model layer by layer,thus realizing the reconstruction of human-body models with specific objectives.These models vividly showcase the anatomical structures,fracture types,and rupture severity,thereby facilitating doctors in understanding the fracture being examined.Beyond serving as a mere demonstration tool,the physi-cal model assists doctors in designing personalized implants and selecting customized surgical guide plates and fixation screws.Surgeons can improve the surgical accuracy and efficacy by refining the surgical plan via preoperative simulation operations.This article presents a summary of the application of computer-simulation surgery in conjunction with 3D printing technology in various complex surgeries.Addi-tionally,the significant potential applications of 3D printing technology in the clinical orthopedics field are discussed.

Objective To explore the basis of PERMA on the overall well-being and social support of elderly patients with maintenance hemodialysis(MHD).Methods A total of 60 elderly patients with MHD were selected from the blood purification center of a tertiary A hospital in Zhejiang Province from January to December 2022 as the study subjects.According to the different disease areas of the patients,they were randomly divided into an experimental group or a control group.Finally,30 patients were included in each group.The control group received routine care,and the experimental group received another 4-week bidirectional social support intervention based on the PERMA model.General well-being scale,social support rating scale,sleep duration,activity duration were used to evaluate the effect before intervention,4 weeks after intervention and 1 month after intervention.Results The results of repeated measurement ANOVA showed that there were statistically significant differences in general happiness score,social support score,sleep duration and activity duration in terms of time effect(P＜0.05),while there were statistically significant differences in general happiness score,social support score and sleep duration in terms of inter-group effect(P＜0.05).Social support score and sleep duration had statistically significant interac-tion effects(P＜0.05).Conclusion The bidirectional social support intervention based on well-being PERMA model can enhance the general well-being and social support level of elderly patients with MHD,and improve the sleep and activity status of elderly patients with MHD.

Objective This study examines the factors influencing oral frailty in the elderly community,develops a risk prediction model,and validates its efficacy,so as to provide references for identifying and preventing oral weakness in the elderly.Methods 556 elderly individuals from 4 communities were selected by convenience sampling from June to August 2024 in Zigong City Sichuan Province.They were randomly divided into a training group(383 cases)and a validation group(165 cases).Data were collected by a general information questionnaire,Social Frailty Scale,Geriatric Depression Scale,and the Oral Frailty Index-8 screening tool.Logistic regression was used to determine the influencing factors,and R software was used to establish a nomogram model for predicting the risk of oral frailty.Bootstrap method and the validation group were used for internally validation of the model.Calibration curve was used to evaluate the prediction performance of the model.Results 548 valid questionnaires were collected.The final model variables included whether the age ≥80 years,wearing removable dentures,reduced frequency of going out,brushing teeth less than twice a day,frequent dry mouth,increased difficulty in eating hard foods,and choking.The area under the receiver operating characteristic curve of the training group was 0.95(95％CI:0.93～0.97),and the best cutoff value was 0.687.The model achieved an accuracy of 87％,sensitivity of 91％,specificity of 85％,positive predictive value of 0.75,and negative predictive value of 0.95.The Hosmer-Lemeshow fitting test show that x2=3.036,P=0.932,indicating a good model fit.Conclusion The oral frailty prediction model demonstrated a good discrimination,calibration,and clinical utility,which can provide a scientific basis for the prevention and early screening of oral frailty in the elderly.

Reform of medical insurance payment methods,make DRG cost accounting an important part of hospi-tal management work.The choice of DRG cost accounting method affects the time of the accounting results to some extent,and also affects the accuracy of the accounting results,which turn affects the hospital's understanding of the surplus of medical insurance settlement and the corresponding control means.Taking a public hospital in Yunnan Province as an example,based on the theory of service unit superposition method,the DRG cost accounting method is improved,and the project cost accounting can be carried out synchron,which can produce the accounting results more simply and quickly,and lay the foundation for the further lean management of the hospital.

Objective:To investigate the effect of taxifolin on cartilage damage in osteoarthritis(OA)rats by regulating Sonic hedgehog(Shh)/Gli family zinc finger protein 1(Gli1)signaling pathway.Methods:Rats were randomly separated into control group,OA group,taxifolin group,Shh activator(purmorphamine)group and taxifolin+purmorphamine group,with 12 rats in each group.Except for control group,rats in all other groups were used to construct OA models by the improved Hulth method.After successful modeling,medication treatment began once a day for 4 weeks.Changes in knee joint swelling and maximum range of motion in rats were detected.Saffranine O-solid green staining was applied to detect pathological changes in knee joint cartilage tissue and to perform the Osteoarthritis Research Society International(OARSI)score.ELISA was applied to detect levels of IL-1β,TNF-α and IL-10 in tissue.Immunohistochemical staining was applied to detect expressions of ADAMTS-5 and MMP-13 in knee joint cartilage tissue.Western blot was applied to detect expressions of Shh and Gli1 proteins in knee joint cartilage tissue.Results:Compared with control group,cartilage surface of rats in OA group was damaged,cartilage erosion occurred,and cells were greatly reduced,knee joint swelling,OARSI score,levels of IL-1β and TNF-α in knee cartilage tissue,percentages of ADAMTS-5 and MMP-13 positive cells,Shh and Gli1 protein expressions were elevated,the maximum range of motion and level of IL-10 in knee cartilage tissue were decreased(P<0.05).Compared with OA group,damage to cartilage surface,cartilage erosion and cell reduction were alleviated in taxifolin group,knee joint swelling,OARSI score,levels of IL-1β and TNF-α in knee cartilage tissue,percentages of ADAMTS-5 and MMP-13 positive cells,Shh and Gli1 protein expressions were decreased,while the maximum range of motion and level of IL-10 in knee cartilage tissue were increased,the trend of changes in corresponding indicators in purmorphamine group was opposite to that in taxifolin group(P<0.05).Compared with taxifolin group,pathological damage to knee joint cartilage tissue in taxifolin+purmorphamine group was intensified,knee joint swelling,OARSI score,levels of IL-1β and TNF-α in knee cartilage tissue,percentages of ADAMTS-5 and MMP-13 positive cells,Shh and Gli1 protein expressions were increased,the maximum range of motion and level of IL-10 in knee carti-lage tissue were decreased(P<0.05).Conclusion:The improvement mechanism of taxifolin on cartilage damage in OA rats may be related to the inhibition of the Shh/Gli1 signaling pathway.

Objective This study examines the factors influencing oral frailty in the elderly community,develops a risk prediction model,and validates its efficacy,so as to provide references for identifying and preventing oral weakness in the elderly.Methods 556 elderly individuals from 4 communities were selected by convenience sampling from June to August 2024 in Zigong City Sichuan Province.They were randomly divided into a training group(383 cases)and a validation group(165 cases).Data were collected by a general information questionnaire,Social Frailty Scale,Geriatric Depression Scale,and the Oral Frailty Index-8 screening tool.Logistic regression was used to determine the influencing factors,and R software was used to establish a nomogram model for predicting the risk of oral frailty.Bootstrap method and the validation group were used for internally validation of the model.Calibration curve was used to evaluate the prediction performance of the model.Results 548 valid questionnaires were collected.The final model variables included whether the age ≥80 years,wearing removable dentures,reduced frequency of going out,brushing teeth less than twice a day,frequent dry mouth,increased difficulty in eating hard foods,and choking.The area under the receiver operating characteristic curve of the training group was 0.95(95％CI:0.93～0.97),and the best cutoff value was 0.687.The model achieved an accuracy of 87％,sensitivity of 91％,specificity of 85％,positive predictive value of 0.75,and negative predictive value of 0.95.The Hosmer-Lemeshow fitting test show that x2=3.036,P=0.932,indicating a good model fit.Conclusion The oral frailty prediction model demonstrated a good discrimination,calibration,and clinical utility,which can provide a scientific basis for the prevention and early screening of oral frailty in the elderly.