Abstract To clarify the service targets, service contents, and safeguard mechanisms of the basic public service program for student vision health management, the study grounded in the current status of child and adolescent myopia prevention and control in China and integrated with the practical experience and innovative practices of Wuhan National Demonstration Area for Student Vision Health Management, takes education as the main thread and schools as the base, consolidating resources from multiple stakeholders including education administrative departments, schools, families, and professional technical service institutions. Centering on four core components—vision health education, monitoring and record keeping, risk prevention and control, and dynamic management, the study constructs a multi tiered basic public service system for vision health management of primary and secondary school students. It further proposes the use of an intelligent management platform and a "three tier color coded early warning" mechanism (red, yellow, blue) to prevent and control student myopia at the source, providing schools with replicable and operable implementation pathways to enhance the level of student vision health management.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective:To construct a nomogram model for predicting the risk factors of gastrointestinal bleeding following laparoscopic pancreaticoduodenectomy (LPD) based on relevant risk factors and evaluate its predictive value.Methods:A retrospective analysis was conducted on 466 patients with periampullary space occupying lesion who underwent LPD at the Department of Hepatobiliary Surgery, the Second Hospital of Hebei Medical University, from January 2021 to December 2024. Among them, there were 284 males and 182 females, aged (59.9±10.7) years. Patients were randomly divided into a training cohort ( n=326) and a validation cohort ( n=140) using a random number table (7: 3 ratio). Based on whether patients suffered gastrointestinal bleeding, the training cohort was further stratified into a gastrointestinal bleeding group ( n=23) and control group ( n=303). Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for gastrointestinal bleeding. A nomogram was constructed based on multivariate results, and its predictive performance was evaluated by receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results:Compared to the control group, the gastrointestinal bleeding group exhibited significantly higher age, higher rates of postoperative pancreatic fistula (POPF) and intra-abdominal infection, along with lower body mass index, and lower levels of fibrinogen and albumin (all P<0.05). Multivariate analysis identified age ( OR=1.065, 95% CI: 1.002-1.132), fibrinogen ( OR=0.486, 95% CI: 0.243-0.969), albumin ( OR=0.840, 95% CI: 0.741-0.953), POPF ( OR=4.299, 95% CI: 1.348-13.716), and postoperative intra-abdominal infection ( OR=6.352, 95% CI: 1.476-27.341) as independent predictors of gastrointestinal bleeding (all P<0.05). The nomogram demonstrated robust discrimination, with an AUC of 0.861 (95% CI: 0.784-0.939), sensitivity of 82.6%, and specificity of 82.2% in the training cohort. In the validation cohort, the AUC was 0.824 (95% CI: 0.675-0.973), with sensitivity and specificity of 80.0% and 83.8%, respectively. Calibration curves indicated excellent agreement between predicted and observed outcomes. DCA revealed superior net clinical benefit of the nomogram over " treat-all" or " treat-none" strategies within threshold probabilities of 0-0.9 (training) and 0-0.75 (validation). Conclusion:The nomogram based on age, fibrinogen, albumin, POPF, and intra-abdominal infection provides accurate prediction of gastrointestinal bleeding after LPD and demonstrates high clinical utility for risk stratification and decision-making in periampullary space occupying lesion patients.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective:To construct a nomogram model for predicting the risk factors of gastrointestinal bleeding following laparoscopic pancreaticoduodenectomy (LPD) based on relevant risk factors and evaluate its predictive value.Methods:A retrospective analysis was conducted on 466 patients with periampullary space occupying lesion who underwent LPD at the Department of Hepatobiliary Surgery, the Second Hospital of Hebei Medical University, from January 2021 to December 2024. Among them, there were 284 males and 182 females, aged (59.9±10.7) years. Patients were randomly divided into a training cohort ( n=326) and a validation cohort ( n=140) using a random number table (7: 3 ratio). Based on whether patients suffered gastrointestinal bleeding, the training cohort was further stratified into a gastrointestinal bleeding group ( n=23) and control group ( n=303). Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for gastrointestinal bleeding. A nomogram was constructed based on multivariate results, and its predictive performance was evaluated by receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results:Compared to the control group, the gastrointestinal bleeding group exhibited significantly higher age, higher rates of postoperative pancreatic fistula (POPF) and intra-abdominal infection, along with lower body mass index, and lower levels of fibrinogen and albumin (all P<0.05). Multivariate analysis identified age ( OR=1.065, 95% CI: 1.002-1.132), fibrinogen ( OR=0.486, 95% CI: 0.243-0.969), albumin ( OR=0.840, 95% CI: 0.741-0.953), POPF ( OR=4.299, 95% CI: 1.348-13.716), and postoperative intra-abdominal infection ( OR=6.352, 95% CI: 1.476-27.341) as independent predictors of gastrointestinal bleeding (all P<0.05). The nomogram demonstrated robust discrimination, with an AUC of 0.861 (95% CI: 0.784-0.939), sensitivity of 82.6%, and specificity of 82.2% in the training cohort. In the validation cohort, the AUC was 0.824 (95% CI: 0.675-0.973), with sensitivity and specificity of 80.0% and 83.8%, respectively. Calibration curves indicated excellent agreement between predicted and observed outcomes. DCA revealed superior net clinical benefit of the nomogram over " treat-all" or " treat-none" strategies within threshold probabilities of 0-0.9 (training) and 0-0.75 (validation). Conclusion:The nomogram based on age, fibrinogen, albumin, POPF, and intra-abdominal infection provides accurate prediction of gastrointestinal bleeding after LPD and demonstrates high clinical utility for risk stratification and decision-making in periampullary space occupying lesion patients.

Public hospitals play a dominant role in providing medical services.Meanwhile,they are also critical for un-dertaking missions to handle health emergencies.This paper analyzes the necessity,current situation,and existing weaknesses of the health emergency capacity of public hospitals.It also conducts a comparative study of the emergency response mechanisms of foreign medical institutions.This paper aims to explore a well-developed design for health emergency in public hospitals that is suitable for China's medical conditions and to provide a feasible model for promoting high-quality health emergency management.

This paper aims to focus on and implement strategies for preventing and resolving medical complaints and dis-putes at their emergence.The hospital promptly compiled a summary of the main problems and concerns reported from patients o-ver the past few years.It combined medical practices with the characteristics of admitted patients with severe diseases,complex treatment plans,and high risks.Since 2020,this hospital has been actively engaging with intractable high-risk patients and de-veloped a scheme that engaging clinical departments,medical management,and dispute management departments together to con-duct preoperative/pre-treatment communication.With a focus on patient management,this hospital upholds the concept of the pa-tient-centered humanistic philosophy in the process of doctor-patient communication to enhance the quality of communication.Consequently,the hospital has benefited from the communication scheme,achieving satisfactory effect in ensuring a solid medical safety and reducing the incidence of medical disputes.

Objective:To study the clinical characteristics and management strategies of late bleeding after laparoscopic pancreaticoduodenectomy (LPD).Methods:The clinical data of 58 patients with post-pancreaticoduodenectomy hemorrhage (PPH) admitted to the Department of Hepatobiliary Surgery of the Second Hospital of Hebei Medical University from March 2018 to March 2022 were retrospectively analyzed, including 42 males and 16 females, aged (61.88±11.02) years old. According to the occurrence of intra-abdominal erosion factors (e.g., pancreatic fistula, biliary fistula, gastrointestinal anastomotic fistula, intra-abdominal abscess), patients were divided into the erosion group ( n=42) and non-erosion group ( n=16). All patients underwent standard lymphadenectomy. Clinical data including the PPH time-point, occurrence of rebleeding, and treatment outcomes were accessed. The management strategies of PPH in the two groups of patients were analyzed. Results:The PPH time-point in the erosion group and non-erosion patients was 8.00 (5.00, 19.25) d and 21.50 (12.75, 26.75) d, respectively ( P=0.001). PPH can occurred within one month after surgery in both erosion and non-erosion groups. In the erosion group, 31 cases (73.81%, 31/42) were treated by re-operation, two (4.76%, 2/42) by interventional radiology and nine (21.43%, 9/42) with conservative protocol, respectively. In the non-erosion group, five cases (31.25%, 5/16) were treated by re-operation, seven (43.75%, 7/16) by interventional radiology and four (25.00%, 4/16) with conservative protocol, respectively. The incidence of re-bleeding is higher in the erosion group [47.6% (20/42) vs 12.5% (2/16), P<0.05]. Clinical manifestations, sites and severity of bleeding, and treatment outcomes were also different in the erosion and non-erosion groups (all P<0.05). Conclusions:The occurrence of intra-abdominal erosion factors can affect the clinical characteristics and treatment strategy of late bleeding after laparoscopic pancreaticoduodenectomy. Surgery remains the treatment of choice for post-pancreaticoduodenectomy hemorrhage either as an urgent or last resort.

Objective:To assess the clinical effectiveness and safety of Omalizumab for treating pediatric allergic asthma in real world in China.Methods:The clinical data of children aged 6 to 11 years with allergic asthma who received Omalizumab treatment in 17 hospitals in China between July 6, 2018 and September 30, 2020 were retrospectively analyzed.Such information as the demographic characteristics, allergic history, family history, total immunoglobulin E (IgE) levels, specific IgE levels, skin prick test, exhaled nitric oxide (FeNO) levels, eosinophil (EOS) counts, and comorbidities at baseline were collected.Descriptive analysis of the Omalizumab treatment mode was made, and the difference in the first dose, injection frequency and course of treatment between the Omalizumab treatment mode and the mode recommended in the instruction was investigated.Global Evaluation of Treatment Effectiveness (GETE) analysis was made after Omalizumab treatment.The moderate-to-severe asthma exacerbation rate, inhaled corticosteroid (ICS) dose, lung functions were compared before and after Omalizumab treatment.Changes in the Childhood Asthma Control Test (C-ACT) and Pediatric Asthma Quality of Life Questionnaire (PAQLQ) results from baseline to 4, 8, 12, 16, 24, and 52 weeks after Omalizumab treatment were studied.The commodity improvement was assessed.The adverse event (AE) and serious adverse event (SAE) were analyzed for the evaluation of Omalizumab treatment safety.The difference in the annual rate of moderate-to-severe asthma exacerbation and ICS reduction was investigated by using t test.The significance level was set to 0.05.Other parameters were all subject to descriptive analysis.A total of 200 allergic asthma patients were enrolled, including 75.5% ( n=151) males and 24.5% ( n=49) females.The patients aged (8.20±1.81) years. Results:The median total IgE level of the 200 patients was 513.5 (24.4-11 600.0) IU/mL.Their median treatment time with Omalizumab was 112 (1-666) days.Their first dose of Omalizumab was 300 (150-600) mg.Of the 200 cases, 114 cases (57.0%) followed the first Omalizumab dosage recommended in the instruction.After 4-6 months of Omalizumab treatment, 88.5% of the patients enrolled ( n=117) responded to Omalizumab.After 4 weeks of treatment with Omalizumab, asthma was well-controlled, with an increased C-ACT score [from (22.70±3.70) points to (18.90±3.74) points at baseline]. Four-six months after Omalizumab administration, the annual rate of moderate-to-severe asthma exacerbation had a reduction of (2.00±5.68) per patient year( t=4.702 5, P<0.001), the median ICS daily dose was lowered [0 (0-240) μg vs. 160 (50-4 000) μg at baseline] ( P<0.001), the PAQLQ score was improved [(154.90±8.57) points vs. (122.80±27.15) points at baseline], and the forced expiratory volume in one second % predicted (FEV 1%pred) was increased [(92.80±10.50)% vs. (89.70±18.17)% at baseline]. In patients with available evaluations for comorbidities, including allergic rhinitis, atopic dermatitis or eczema, urticaria, allergic conjunctivitis and sinusitis, 92.8%-100.0% showed improved symptoms.A total of 124 AE were reported in 58 (29.0%) of the 200 patients, and the annual incidence was 0(0-15.1) per patient year.In 53 patients who suffered AE, 44 patients (83.0%) and 9 patients (17.0%) reported mild and moderate AE, respectively.No severe AE were observed in patients.The annual incidence of SAE was 0(0-1.9) per patient year.Most common drug-related AE were abdominal pain (2 patients, 1.0%) and fever (2 patients, 1.0%). No patient withdrew Omalizumab due to AE. Conclusions:Omalizumab shows good effectiveness and safety for the treatment of asthma in children.It can reduce the moderate-to-severe asthma exacerbation rate, reduce the ICS dose, improve asthma control levels, and improve lung functions and quality of life of patients.

With the accelerated aging society in China, the incidence of biliary surgical diseases in the elderly has increased significantly. The clinical characteristics of these patients indicate that improving treatment outcomes and realizing healthy aging are worthy of attention. How to effectively improve the treatment effect of geriatric biliary surgical diseases has attracted widespread attention. This paper reviews and comments on the hotspots and difficulties of biliary surgery in older patients from six aspects: (1) higher morbidity associated with an aging society, (2) prevention and control of pre-operative risks, (3) extending the indications of laparoscopic surgery, (4) urgent standardization of minimally invasive surgery, (5) precise technological progress in hepatobiliary surgery, and (6) guarantee of peri-operative safety. It is of great significance to fully understand the focus of controversy, actively make use of its favorable factors, and effectively avoid its unfavorable factors, for further improving the therapeutic effects of geriatric biliary surgical diseases, and thus benefits the vast older patients with biliary surgical diseases. Accordingly, a historical record with the highest age of 93 years for laparoscopic transcystic common bile duct exploration has been created by us recently.
Humans ; Aged ; Aged, 80 and over ; Biliary Tract Surgical Procedures ; Gallstones ; Laparoscopy ; Treatment Outcome ; Aging ; Retrospective Studies