Neonatal diabetes mellitus （NDM） is a rare monogenic disorder primarily caused by insufficient insulin secretion resulting from mutations in the KCNJ11 and ABCC8 genes. Sulfonylureas， represented by glibenclamide， have become the standard therapy for this type of NDM by precisely closing the mutated ATP-sensitive potassium channels in pancreatic β cells， thereby restoring insulin secretion. Clinical studies confirm that sulfonylureas enable over 90% of patients to successfully transition from insulin to oral treatment， achieving long-term stable glycemic control and improving neurological outcomes to a certain extent. In terms of safety， severe hypoglycemia induced by sulfonylureas is relatively rare and gastrointestinal reactions are mild； moreover， sulfonylureas show good long-term tolerability， and have no adverse effects on child growth and development. In the future， by further refining the full-chain management pathway of “rapid genetic diagnosis-early intervention-specialized dosage forms-long-term follow-up”， the clinical application of sulfonylureas is expected to provide NDM patients with an optimized treatment regimen and maximize their health benefits.

Objective: To investigate the relationship between physical development indicators and the onset and progression of myopia among children and adolescents, so as to provide theoretical support for coordinated vision and physical health management. Methods: A prospective cohort study was conducted. In September 2022, 3 102 students from grade one in primary school to grade three in junior high school (five year primary school and four year junior high school) from six schools in Huantai County, Shandong Province, were selected using multistage cluster random sampling method to participate in an epidemiological survey on myopia, with follow up completed in September 2023. Follow up value minus baseline value( d ) was used to assess changes in physical development and vision indicators. Multivariate Logistic regression analysis was used to examine the relationship between physical development indicators and the incidence of myopia. Generalized linear models were established to analyze the relationship between physical development indicators and changes in d spherical equivalent (SE) and d axial length (AL) . Results: Multivariate Logistic regression analysis showed that, after adjusting for factors such as gender, age, and baseline body mass index, the third ( Q 3)and fourth ( Q 4)quartiles of d height showed increased risks of myopia onset within one year compared to the first quartile( Q 1) ( OR =1.85,95% CI =1.18-2.88; OR =1.74,95% CI =1.09-2.78,both P ＜0.05). Results from the generalized linear model indicated that, after adjusting for confounding factors such as gender, age, and baseline SE, d SE was negatively correlated with d height and d weight in children and adolescents ( β =-0.024, 95% CI =-0.031 to -0.018; β =-0.006, 95% CI =-0.011 to -0.001), d AL was positively correlated with d height and d weight in children and adolescents ( β =0.011, 95% CI =0.008-0.013; β =0.005, 95% CI =0.003-0.007) (all P ＜0.05). Conclusions Physical development indicators in children and adolescents were associated with the onset and progression of myopia. Dynamic monitoring and early intervention of myopia should be strengthened for children and adolescents with rapid height and weight gain to achieve coordinated management of myopia and physical development.

Objective: To analyze the characteristics and key risk factors of abnormal blood disposal throughout the 2024-2025 blood collection and supply process based on nationwide multi-site monitoring data, develop a comprehensive prevention and control strategy across the entire chain, reduce preventable blood waste, and ensure clinical blood safety. Methods: According to the Guidelines for Haemovigilance (T/CSBT 001-2026), we extracted 74 cases of abnormal blood disposal events reported by the China Blood Transfusion Association′s Blood Safety Monitoring System from January 1 2024, to December 31 2025, and conducted descriptive statistical analysis on the distribution of events, types of deviations, root causes, and classifications of disposal manifestations. Results: A total of 664 adverse events related to blood collection and supply were reported over two years, with 74 cases involving discarded abnormal blood units, accounting for 11.1% of the total. Among these, blood component preparation (40.5%) and blood collection (37.8%) remained traditional high-risk stages. The proportion of blood waste occurring during storage, distribution, and transportation increased from 7.7% in 2024 to 34.3% in 2025. Deviations from standard operating procedures (SOP) by personnel were the primary cause, accounting for 74.3% of cases. Discarded blood units were categorized into four types: compromised closed blood bag systems (40 cases), mainly due to inadequate heat sealing, physical damage, or dropped bags; blood out of the cold chain (12 cases), primarily resulting from blood being left at work sites; imbalanced proportion of preservation solution (10 cases), mostly caused by blood collection volumes exceeding the standard capacity of blood bags; and other causes (12 cases). Conclusion: Human operational errors are the core cause of abnormal blood waste. The collection and preparation stages have long been at high-risk, and the risks in the storage and transportation stages have been increasing year by year. We should focus on standardizing personnel management, improving specialized operation norms such as heat sealing, transportation, and storage, establishing a full-process intelligent cold chain monitoring and multi-node visual verification mechanism, and systematically reducing the occurrence rate of abnormal blood waste through a closed-loop quality intervention system, thereby improving the utilization efficiency of voluntary blood donation resources.

Objective To investigate the risk factors of adverse events in elderly patients with painless gastroenteroscopy,and construct a nomogram model for predicting the risk of adverse events.Methods 302 patients who underwent painless gastroenteroscopy from September 2023 to March 2024 were retrospectively enrolled and randomly divided into training set(211 cases)and validation set(91 cases)according to the 7∶3 ratio.The training set was divided into adverse event group(64 cases)and non-adverse event group(147 cases)according to whether adverse events occurred.Multivariate Logistic regression analysis was used to screen the risk factors for adverse events in elderly painless gastroenteroscopy patients,R 3.4.3 software was used to construct a nomogram model,and the validation set was used for external verification.The nomogram model discrimination was evaluated by drawing the receiver operator characteristic curve(ROC curve),and the calibration curve was drawn to evaluate the calibration degree of the nomogram model.Results Univariate analysis showed that,the comparison of overweight or obesity,smoking,hypertension,coronary heart disease,education level,pre examination sleep time,and exercise habits between the adverse event group and the non-adverse event group were statistically significant(P＜0.05);Multivariate Logistic regression analysis showed that overweight or obesity(OR=4.821,95％CI:1.052～11.651),smoking(OR=1.056,95％CI:1.313～3.109),hypertension(OR=1.356,95％CI:1.175～2.677),and coronary heart disease(OR=1.385,95％CI:1.168～2.765)were risk factors for adverse events during painless gastroenteroscopy in elderly patients(P＜0.05);The areas under the ROC curves for the training and validation sets were 0.921 and 0.795,respectively.The sensitivity was 90.62％(95％CI:0.846～0.965)and 82.14％(95％CI:0.689～0.856),and the specificity was 74.83％(95％CI:1.056～2.939)and 76.19％(95％CI:1.245～4.161),indicating that the nomogram model had good discriminability;The Hosmer-Lemeshow goodness of fit test results showed that the nomogram model had a good fit(P＞0.05),and the calibration curves of the training and validation sets both showed that the nomogram model had a good consistency between the actual and predicting incidence of adverse events(P＞0.05).Conclusion Overweight or obesity,hypertension,cornary heart disease and smoking are independently correlated with adverse events in painless gastroenteroscopy,and the nomogram model constructed based on the above factors to predict the risk of adverse events in painless gastroenteroscopy has good predictive efficacy.

Objective:To analyze the correlation between near work, screen time, outdoor time and myopia in children based on objective monitoring technology and to explore the influencing factors related to myopia in children.Methods:A cross-sectional study was conducted.From October 2022 to March 2023, the purposive sampling method was used to select 596 children in Grade 2 and Grade 3 from two primary schools in Shandong Province as study subjects.Eye-Monitor technology of eye-use behavior based on artificial intelligence was used to quantify parameters of near work, screen time and outdoor time.The eye-use behavior parameters were compared within each subject and between non-myopic and myopic children on weekdays and weekends.A multivariate binary logistic regression model was constructed to analyze the influencing factors related to myopia.The study protocol was approved by the Medical Ethics Committee of the Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine (No.HEC-HY-2022023KY).Written informed consent was obtained from the legal guardian of each subject.Results:For each subject, the proportion of near work time on weekdays was greater than on weekends, the proportion of time spent looking at cell phones, computer screens, and outdoor activities was smaller, the duration of single continuous near eye use was longer, the tilt angle of the head in sitting position was greater, and the light intensity was stronger, showing statistically significant differences ( t=19.427, -9.964, -5.916, -10.470, 2.211, 2.898, 15.061; all P<0.05).During weekdays, compared with the non-myopia group, the myopia group had longer total near work duration, longer single continuous near eye use duration, shorter outdoor activity duration, closer eye use distance, larger proportion of near work time, and smaller proportion of outdoor activity time, showing statistically significant differences (all P<0.05).During weekends, compared with the non-myopia group, the myopia group had longer time spent looking at cell phones and computer screens, shorter outdoor activity time, greater proportion of time spent looking at cell phones and computer screens, and smaller proportion of outdoor activity time, with statistically significant differences (all P<0.05).During weekdays, after adjusting for confounding factors, longer single continuous near eye use duration ( OR=1.138, 95% CI: 1.086-1.192, P<0.001) was the risk factor for myopia, and longer working distance ( OR=0.906, 95% CI: 0.847-0.970, P=0.004) and longer outdoor activity time ( OR=0.127, 95% CI: 0.023-0.703, P=0.018) were protective factors for myopia.During weekends, after adjusting for confounding factors, longer time spent on looking at cell phone screens ( OR=2.437, 95% CI: 1.460-4.068, P<0.001) and longer time spent on looking at computer screens ( OR=2.260, 95% CI: 1.283-3.979, P=0.005) were risk factors for myopia, and longer outdoor activity time ( OR=0.624, 95% CI: 0.416-0.934, P=0.022) was the protective factor for myopia. Conclusions:The eyes with continuous near work, prolonged use of smartphone and computer screens, closer eye use distance, and less time spent outdoors have been confirmed to be significantly correlated with myopia based on objective monitoring data.When formulating intervention measures for myopia prevention and control in children, it is advocated to further pay attention to control the distance and duration of near work on weekdays and strengthen screen time management on weekends.

Objective:To explore associated factors of post-discharge depressive symptom severity in patients with bipolar disorder.Methods:A longitudinal follow-up was conducted to investigate the demographic,behavioral,and clinical characteristics,and social function among discharged patients with bipolar disorder who met the DSM-5 diagnostic criteria.Clinical characteristics were assessed with the Hamilton Depression Scale(HAMD)and Brief Psychiatric Rating Scale(BPRS).Single factor and multivariate regression were carried out to explore the associat-ed factors of depressive symptom severity in patients with bipolar disorder.Results:A total of 298 discharged pa-tients with bipolar disorder were face-to-face interviewed to complete the follow-up survey.At follow-up time,psy-chotic symptoms(standardized(β)=0.18),housework((β)=0.23),social interaction((β)=0.17)and BPRS total score((β)=0.46)were positively associated with HAMD total score.Productive labor and work((β)=-0.27)and person-al life management((β)=-0.15)were negatively associated with HAMD total scores.Conclusion:Post-discharge depressive symptom severity in bipolar disorder patients is influenced by multiple factors.Effective management of psychotic symptoms,combined with enhanced community-based social rehabilitation and functional recovery,may help reduce the persistence or worsening of depressive symptoms and improve prognosis.

Objective To investigate the value of procalcitonin-to-albumin ratio(PAR)for predicting 28-day mortality risk in elderly patients with sepsis for optimizing the diagnosis and treatment strategies.Methods The clinical data of 112 elderly patients diagnosed with sepsis in the intensive care unit were retrospectively reviewed and analyzed.Patients were assigned to survivors group or deaths group based on 28-day outcomes.Clinical characteristics and the results of laboratory tests were collected,including procalcitonin(PCT),albumin,and C-reactive protein(CRP).The normally distributed data were compared between groups using t-test.Mann-Whitney U test was adopted for comparing non-normally distributed data.Cox proportional hazards regression model was used to analyze the effects of multiple variables on survival time.Receiver operating characteristic(ROC)curve analysis was performed to determine the sensitivity and specificity of various variables in predicting mortality risk.Results Mechanical ventilation,APACHE Ⅱ scores,and length of hospital stay(all P＜0.05)were significantly different between survivors group and deaths group.Blood culture results showed that Gram-negative bacteria were predominant pathogen(75.9％),especially Escherichia coli(45.5％).Albumin level was significantly lower(P=0.026),while PCT,CRP,and PAR levels were significantly higher(P＜0.05)in the deaths group compared to those in the survivors group.Multivariate Cox regression analysis revealed that PAR was an independent predictor of 28-day mortality(HR=3.72,95％CI:1.98-4.42,P＜0.001).ROC curve analysis showed that the area under the curve(AUC)of PAR was 0.852 in predicting mortality,with a sensitivity of 81.25％and specificity of 87.82％.Conclusions PAR outperformed PCT or albumin alone in predicting 28-day mortality risk in elderly patient with sepsis.For every 0.1 increase in PAR,the risk of mortality increased by 272％.Early monitoring of PAR can assist clinicians in rapidly identifying high-risk patients and optimizing treatment strategies.

Objective:To investigate the association of skeletal muscle function(including muscle strength and physical performance) and insulin resistance as well as type 2 diabetes mellitus(T2DM).Methods:The retrospective study included 942 patients who visited the Department of Geriatrics at Renji Hospital, Shanghai Jiao Tong University School of Medicine, between October 2020 and July 2024. Low skeletal muscle function was defined as either reduced muscle strength or impaired physical performance. Muscle strength was assessed by grip strength, while physical performance was evaluated using the 5-time chair stand test. The associations between muscle function, insulin resistance, and T2DM were analyzed.Results:A significant association was observed between decreased skeletal muscle function and a higher prevalence of T2DM( P=0.001). Further analysis revealed that decreased physical performance was significantly associated with increased T2DM prevalence( P<0.001), whereas reduced muscle strength showed no significant association with T2DM prevalence( P=0.331). Linear regression analysis indicated that both the homeostasis model assessment of insulin resistance(HOMA2-IR) and fasting blood glucose levels increased significantly with longer chair stand times( P<0.05). Restrictive cubic spline(RCS) analysis demonstrated a nonlinear relationship between chair-rising time and HOMA2-IR. Notably, when the cumulative chair-rising time exceed 8.1 s, HOMA2-IR increased significantly with prolonged chair stand time. Logistic regression analysis showed that compared with patients with normal physical performance, those with decreased physical performance had significantly higher odds of T2DM( OR=2.64, P<0.001) and insulin resistance( OR=2.34, P=0.002). Conclusion:Decline in physical performance is significantly positively associated with insulin resistance and the risk of T2DM. Morever, when the cumulative chair stand time exceed 8.1 s, HOMA2-IR increases progressively with further prolongation of chair stand time.

Sarcopenia is characterized by a decline in both skeletal muscle mass and function. Since skeletal muscle is the primary organ responsible for insulin-stimulated glucose uptake, sarcopenia, which occurs with aging, is believed to promote insulin resistance in skeletal muscle, leading to disruptions in glucose metabolism. Growing clinical evidence indicates that decreased muscle function may contribute to the development of type 2 diabetes, while a reduction in muscle mass alone does not appear to be significantly associated with its onset. This review, based on the latest research, summarizes the clinical evidence linking sarcopenia to glucose metabolism abnormalities and potential mechanisms through which impaired muscle function affects glucose metabolism. The goal is to inspire early prevention, intervention, and management of type 2 diabetes by targeting skeletal muscle.

Objective:To establish a method for determination of fluoride in water using a fully automated biochemical analyzer (abbreviated as this method).Methods:Based on the parameters of the fully automatic biochemical analyzer, appropriate reagent volumes and reaction time were optimized to determine fluoride ions in water within the standard curve range (0.0 - 2.0 mg/L). The method was validated through evaluation of linear range, detection limit, precision, accuracy, and comparative analysis with the manual measurement results of fluoride reagent spectrophotometric method specified in the "Standard Examination Methods for Drinking Water - Part 5: Inorganic Nonmetallic indices" (GB/T 5750.5-2023).Results:Within the range of 0.0 - 2.0 mg/L fluoride mass concentration, the absolute values of the correlation coefficients were > 0.999 0 and the detection limit of this method was 0.082 mg/L. The relative standard deviation for the determination of fluoride level in water samples with low, medium and high fluoride mass concentrations was 4.03%, 2.16% and 1.68%, respectively. The spiked recovery rates were 98.1%, 99.5%, and 100.2%, respectively. There was no statistically significant difference between the results obtained by this method and manual measurement ( t = 1.07, P = 0.295). Conclusion:This method exhibits high sensitivity, accuracy, and efficiency in detecting fluoride, enabling rapid sample detection through instrumental automation instead of manual operation.