Objective To investigate the association of baseline cerebral blood flow （CBF） and cerebral metabolic rate of oxygen （CMRO2） with sleep structure disorder after thrombolytic therapy in stroke patients， as well as their value in clinical assessment. Methods A total of 145 patients with stroke were enrolled as subjects， and all of them received thrombolytic therapy in our hospital from January 2023 to June 2025. Before thrombolytic therapy， 3.0 T magnetic resonance imaging was used to obtain relative CBF （rCBF） and relative CMRO2 （rCMRO2）， and rCBF/rCMRO2 ratio was calculated. At week 1 after thrombolysis， overnight polysomnography （PSG） was conducted to obtain parameters such as total sleep time， sleep efficiency， the proportion of each NREM stage， and REM sleep duration. According to the presence or absence of sleep structure disorder， the subjects were divided into disorder group and non-disorder group. The Pearson correlation method was used for correlation analysis. A multivariate logistic regression analysis was used to identify the influencing factors for sleep structure disorder in subjects after thrombolytic therapy. The receiver operating characteristic （ROC） curve was plotted to analyze the performance of rCBF/rCMRO2 ratio in predicting sleep structure disorder in subjects after thrombolytic therapy. Results Compared with the non-disorder group， the disorder group had significantly higher age， infarct volume， NIHSS score on admission， and proportion of patients with infarction in the thalamus （P<0.05）. Compared with the non-disorder group， the disorder group had significantly lower rCBF， rCMRO2， rCBF/rCMRO2 ratio， total sleep time， proportion of NREM 3 sleep， proportion of REM sleep， and sleep efficiency （P<0.05） and significantly higher proportion of NREM 1 sleep and sleep arousal index （P<0.05）. The Pearson correlation analysis showed that rCBF， rCMRO2， and rCBF/rCMRO2 ratio were positively correlated with total sleep time， proportion of NREM 3 sleep， proportion of REM sleep， and sleep efficiency （P<0.001） and were negatively correlated with the proportion of NREM 1 sleep and sleep arousal index （P<0.001）. The Logistic regression analysis showed that age， infarct volume， infarction location （thalamus）， and NIHSS score on admission were risk factors for sleep structure disorder in stroke patients after thrombolytic therapy （P<0.05）， while rCBF， rCMRO2， and rCBF/rCMRO2 ratio were protective factors against sleep structure disorder （P<0.05）. The ROC curve analysis showed that rCBF/rCMRO2 ratio had an area under the ROC curve of 0.901 （95% CI 0.869-0.938） in predicting sleep structure disorder in stroke patients after thrombolytic therapy， with a sensitivity of 95.50% and a specificity of 82.40%. Conclusion Baseline rCBF， rCMRO2， and rCBF/rCMRO2 ratio are closely associated with sleep structure disorder in stroke patients after thrombolytic therapy， among which rCBF/rCMRO2 ratio has excellent performance in predicting sleep structure disorder and can be used as a sensitive indicator for clinical assessment of high-risk patients.
Stroke

ObjectiveTo understand the mental health literacy levels and influencing factors among middle school students in Minhang District, Shanghai, and to provide a basis for formulating mental health promotion strategies. MethodsA multi-stage stratified cluster sampling method was adopted. From September to October 2023, middle school students (including junior and senior high school) from 14 streets, towns, and industrial zones in Minhang District, Shanghai, were recruited to participate in a questionnaire survey. The survey collected demographic information and employed the Adolescent Mental Health Literacy Assessment Scale. This scale comprises four dimensions (knowledge, recognition ability, attitude, and behavior) with a total of 22 items, using a Likert 5-point scale (1‒5 points), giving a maximum total score of 110 points. Reverse-scored items were inverted, and the sum of all item scores constituted the total scale score, with higher scores indicating better mental health literacy. A total score of ≥88 points was defined as having adequate mental health literacy. Multiple linear regression was used to analyze the factors influencing mental health literacy. ResultsThe average mental health literacy score of the 3 963 middle school students in Minhang District of Shanghai City was (85.42±11.27) points, with 45.22% of students having adequate mental health literacy. Univariate analyses showed that female students, junior high school students, and those without stressful events or physical illnesses in the past three months had higher total scores of mental health literacy. Statistically significant differences in total scores were also observed among students with different family economic statuses, parental education levels, frequency of physical exercise, parental relationships, father‑child relationships, and mother‑child relationships (all P<0.05). Multiple linear regression analyses showed that middle school students who were female, had better family economic conditions, higher maternal education levels (university degree or above), and harmonious mother-child relationships had higher mental health literacy scores. In contrast, high school students and those middle school students who participated in less physical activity had lower mental health literacy scores. Multivariate logistic regression analyses indicated that students who were female (OR=1.336, 95%CI: 1.174‒1.520), had superior family economic status (OR=2.000, 95%CI: 1.101‒3.725), had mothers with a university education level (OR=1.501, 95%CI: 1.217‒1.856), had lost one parent (OR=2.189, 95%CI: 1.176~4.158), or reported harmonious mother‑child relationships (OR=2.052, 95%CI: 1.432‒2.987) were more likely to meet the criteria for mental health literacy, whereas those who rarely engaged in physical exercise (OR=0.502, 95%CI: 0.358‒0.694) were less likely to have adequate mental health literacy. Stratified analyses showed that mental health literacy levels among junior high school students were positively correlated with being female, having a mother with a university education level, and having a mother‑child relationship that was average or harmonious and having a harmonious father‑child relationship, and negatively correlated with occasional or rare participation in physical exercise. Among senior high school students, mental health literacy levels were positively correlated with being female, having good or superior family economic status, having a mother with a university education level or above, and having a harmonious mother‑child relationship. ConclusionThe rate of adequate mental health literacy among middle school students in Minhang District, Shanghai, was approximately 45.22%. Gender, grade level, family economic status, maternal education level, physical activity participation, and mother-child relationship are independent factors associated with the level of mental health literacy among middle school students. Mother-child relationship and physical activity are potential intervention entry points. It is recommended to implement targeted health promotion initiatives focusing on key groups, such as high school boys, students from economically disadvantaged families, and those with insufficient physical activity.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Background and purpose:Despite Radiation-induced lymphopenia has been associated with poor survival outcomes in certain solid tumors,there is limited evidence for small cell lung cancer(SCLC).The purpose of this study was to investigate whether the absolute lymphocyte count before and after radiotherapy could predict the clinical outcomes for limited-stage SCLC(LS-SCLC)patients.Methods:This was a single-center,retrospective cohort study.A retrospective analysis of patients evaluated at Fudan University Shanghai Cancer Center from January 2007 to December 2017 was conducted.Inclusion criteria:⑴ pathologically confirmed small-cell lung cancer;⑵ limited-stage disease defined by positron emission tomography and computed tomography(PET/CT)and contrast-enhanced brain magnetic resonance imaging(MRI)[American Joint Committee on Cancer(AJCC)8th edition TNM stage M0];⑶ receipt of definitive chemoradiotherapy;⑷ availability of complete blood counts before,during and within 1 month after radiotherapy;⑸ complete survival,relapse,and last-follow-up information retrievable.Exclusion criteria:⑴ distant metastasis at baseline(AJCC 8th edition TNM stage M1,including any distant nodal,visceral,or bone-marrow involvement);⑵ total radiotherapy dose＜50 Gy[calculated as an equivalent biological dose at 2 Gy/fraction,i.e.,a biological effective dose(BED)＜40 Gy];⑶ incomplete laboratory data at any scheduled time point;⑷ inability to ascertain survival or relapse status or insufficient follow-up records.The study protocol was approved by the ethics committee of Fudan University Shanghai Cancer Center(approval number:2303271-15),and the requirement for informed consent was waived.Clinical data extracted comprised age,sex,Eastern Cooperative Oncology Group performance status(ECOG PS)score,smoking history,TNM stage,chemotherapy regimen and number of cycles,radiotherapy dose and fractionation schedule,use of concurrent chemoradiotherapy and administration of prophylactic cranial irradiation(PCI).Laboratory data comprised serial absolute lymphocyte counts obtained within 1 month before,during and after radiotherapy;lymphopenia was graded according to the Common Terminology Criteria for Adverse Events(CTCAE)version 4.0.Progression-free survival(PFS)and overall survival(OS)were estimated using the Kaplan-Meier method and compared with the log-rank test.Results:A total of 170 patients were included.The median age of the patients was 57 years,with 77.6%being male.The median radiation therapy dose was 60 Gy(range:45-66 Gy).For the entire cohort,the median PFS was 22.0 months,the 5-year PFS rate was 31.3%,and the 10-year PFS rate was 19.8%.The median OS was 38.0 months,the 5-year OS rate was 37.5%,and the 10-year OS rate was 24.2%.Before radiation therapy,14 patients(8.2%)had grade 1-2 lymphocytopenia.During radiation therapy,the number of patients with grade 1,2,3 and 4 lymphocytopenia was 7(4.1%),22(12.9%),111(65.3%),and 24(14.1%),respectively.One month after radiation therapy,the number of patients with grade 1,2,3 and 4 lymphocytopenia was 36(21.2%),36(21.2%),11(6.5%)and 1(0.6%),respectively.There were no significant differences in PFS and OS among patients with different grades of lymphocytopenia before,during,or after radiation therapy.Conclusion:Before immunotherapy,radiotherapy-induced lymphopenia did not appear to affect the prognosis of patients with LS-SCLC.

Objective To establish the therapeutic effect prediction model of platelet transfusion in hematological patients,and receiver operating characteristic(ROC)curve and clinical cases are used to evaluate the clinical application value of the predic-tion model.Methods A total of 485 patients with hematological diseases who received platelet transfusion therapy in Kailuan General Hospital from January 2020 to December 2023 were selected,corrected count increment(CCI)was used to divide the patients into platelet transfusion effective group(n=340)and transfusion ineffective group(n=145).Multivariate Logistic regres-sion analysis was used to establish the prediction model of platelet infusion efficacy,and ROC curve was used to evaluate the application effect of the forcasting model.109 clinical cases were used to verify the practical application effect of the model,and the sensitivity,specificity and accuracy were calculated.Results Among 485 patients with hematological diseases,the incidence of ineffective platelet transfusion was 29.90%(145/485).Compated with the effective group,the ineffective group had more previous platelet transfusions was higher,and the difference was statistically significant(t=-4.435,P<0.05).In the ineffective group,there were more cases of hyperplenism,aplastic anemia and lymphoma,higher infection rate and higher positive rate of platelet antibody,and the differences were statistically significant(χ2=6.301～37.522,all P<0.05).Multivariate Logistic regres-sion analysis found that previous platelet infusion times,infection,leukemia,aplastic anemia and platelet antibodies were risk factors for ineffective platelet transfusion in patients with hematological diseases(Wald χ2=5.224～21.548,all P<0.05).Based on these risk factors,platelet infusion effect prediction models 1 and 2 were constructed.ROC curve was used to evaluate the application effect of the prediction model.The area under the curve(AUC),cut-offpoint,sensitivity and specificity of model 1 were 0.884,0.042,82.35%,88.89%.The AUC,cut-offpoint,corresponding sensitivity and specificity of prediction model 2 were 0.910,59.784,81.18%,94.44%,respectively.The Z values of model 1 and model 2 were 12.159 and 13.151,respectively.The prediction effect of model 2 was better than that of model 1.The actual application results showed that the sensitivity,specificity and accuracy of prediction model 1,2 were 85.71%,92.05%,90.89%and 90.48%,93.18%,92.66%,respectively.Conclusion The ineffective rate of platelet transfusion in hematological patients is relatively high.The prediction models 1 and 2 for platelet transfusion effectiveness have good results in predicting ineffective platelet transfusion,and prediction model 2 is better than pre-diction model 1,which can provide reliable basis for hematological patients on accurate platelet transfusion.

Objective To investigate the value of serum α-hydroxybutyric dehydrogenase(α-HBDH),cysteine-rich protein 61(CYR61)and gasdermin D(GSDMD)level testing in patients with sepsis-combined cardiomyopathy for clinical diagnosis and prognostic assessment.Methods A total of 244 sepsis patients who underwent consultation and treatment in Baotou Central Hospital from May 2020 to December 2023 were selected as the study subjects,and were separated into a study group(combined cardiomyopathy,n=106)and a control group(uncombined cardiomyopathy,n=138)according to whether they were combined cardiomyopathy or not.The levels of α-HBDH,CYR61 and GSDMD were measured by enzyme linked immunosorbent assay(ELISA)method.Pearson and Spearman methods were used to analyze the correlation of α-HBDH,CYR61,and GSDMD with systolic and diastolic blood pressure,left ventricular ejection fraction(LVEF)and acute physiology and chronic health evaluationⅡ(APACHE II)score.Multifactorial Logistic regression was used to analyze the factors affecting sepsis-combined cardiomyopathy.Receiver operator characteristic(ROC)curves were used to assess the diagnostic value of α-HBDH,CYR61 and GSDMD for sepsis-combined cardiomyopathy and their validity for prognostic prediction.Results Serum α-HBDH(278.35±18.89ng/ml vs 253.47±12.75ng/ml),CYR61(18.23±4.14mg/L vs 14.48±2.67mg/L)and GSDMD(12.39±3.28mg/L vs 9.46±2.17mg/L)levels were higher in the study group compared to the control group,and the differences were statistically significant(t=12.261,8.572,8.377,all P<0.05).The levels of α-HBDH(291.93±19.22ng/ml),CYR61(20.33±3.43mg/L)and GSDMD(14.01±3.09mg/L)were higher in the death patients compared to the survived patients(268.71±13.09ng/ml,16.74±2.88mg/L,11.24±2.55mg/L),and the differences were statistically significant(t=7.402,5.839,5.044,all P<0.05).Correlation analysis showed that α-HBDH,CYR61,and GSDMD were negatively correlated with systolic blood pressure,diastolic blood pressure and LVEF(r=-0.631～-0.422,all P<0.05),α-HBDH,CYR61,GSDMD were negatively correlated with APACHE II score(r=0.531,0.507,0.611,all P<0.05).Multifactorial Logistic regression analysis showed that systolic blood pressure,diastolic blood pressure,and LVEF were protective factors affecting sepsis-combined cardiomyopathy(Wald χ2=6.823,7.986,10.875,all P<0.05),and α-HBDH,CYR61,and GSDMD were risk factors affecting sepsis-combined cardiomyopathy(Wald χ2=9.376,6.849,7.435,all P<0.05).From the ROC curve analysis,it was known that the combined application of α-HBDH,CYR61,and GSDMD was more effective in the diagnosis of sepsis-combined cardiomyopathy(Z=2.369,2.454,2.573),the combined application of α-HBDH,CYR61,and GSDMD were superior for prognostic prediction in sepsis-combined cardiomyopathy(Z=2.352,2.468,2.581),and the differences were statistically significant(all P<0.05).Conclusion Serum α-HBDH,CYR61 and GSDMD levels are increased in patients with sepsis-combined cardiomyopathy,and they are correlated with prognosis.The combination of these three tests has a higher diagnostic value and prognostic value in sepsis combined cardiomyopathy.

Corneal neovascularization(CNV)is a pathological condition characterized by the invasion of new blood vessels into the normally avascular corneal area from the corneal periphery,leading to severe vision loss and potentially blindness.Currently,surgical,physical,and pharmacological therapies are the main clinical approaches for treating CNV.Surgical treatment aims to remove abnormal vascular tissue or perform corneal trans-plantation to inhibit angiogenesis;however,it carries a risk of postoperative rejection.Physical therapy involves the direct application of non-invasive modalities,such as laser treatment,to the neovascularized area to suppress vascular growth.Nevertheless,this approach may cause damage to surrounding healthy tissues.Pharmacotherapy has recently become a research hotspot in CNV treatment due to its convenient administration.Clinically,the drugs used for CNV treatment mainly include anti-inflammatory agents,anti-VEGF drugs,and immunosuppressants,which inhibit CNV progression by targeting angiogenesis-related signaling pathways.However,these drugs often lead to drug resistance and toxic side effects.Therefore,there is an urgent need to develop more effective and safer therapeutic agents for CNV.This article reviews the current clinical treatment status of CNV and highlights recent advances in the use of small molecule extracts from traditional Chinese medicine for CNV therapy,aiming to provide potential candidate drugs and a scientific theoretical basis for clinical management of CNV.

Artificial intelligence (AI) in human assisted reproductive technology (ART) is gaining attention. AI technologies have been applied in ART clinical practice to assist doctors in performing semen analysis, embryo selection, and endometrial receptivity assessment, improving patient's outcomes and physician efficiency. However, most researches are experimental. Standardizing AI development, enhancing understanding among physicians and patients, and integrating AI with clinical practice are crucial. This review summarizes AI researches and applications in ART, discusses challenges, and explores future directions.

Objective Examine and analyze the current situation of the construction of national regional medical centers for children in China,in order to provide reference for promoting the high-quality development of national regional medical centers for children and other categories.Methods Refer to literature and official websites of relevant national departments and hospitals to obtain the required data and establish an analysis database for children's national regional medical centers.Using PEST analysis method,conduct research from four perspectives:politics,economy,society,and technology.Results The development trend of national regional medical centers for children is good,with a favorable policy environment,increasing demand for children's medical and health services,and high social expectations.However,there are issues such as targeted support policies that need to be improved,varying levels of economic security,regional cultural conflicts,and differences in technological resource levels.Conclusion It is suggested to improve the targeted policy support system,establish a sound compensation mechanism,actively integrate into the overall development of regional society,and integrate the advantages of various technological resources.

Objective To explore the mechanism of Glaucocalyxin A(GLA)in inhibiting ovalbumin(OVA)-induced airway remodeling in asthmatic mice through the topoisomerase Ⅱ α(TOP2A)/cyclin-dependent kinase 1(CDK1)signaling pathway.Methods Forty Balb/c mice were randomly divided into 5 groups:the control group,the model group,the low-dose GLA group,the high-dose GLA group and the Dexamethasone group,with 8 mice in each group.The effect of GLA on airway remodeling was examined by immunohistochemical staining,ELISA and other methods,and bioinformatics methods were used to predict new targets of GLA.The action targets of TOP2A were screened using the STRING database,and the interaction relationship between the two was verified by co-immunoprecipitation.In vitro,GLA and siRNA were used to interfere with interleukin-4(IL-4)-stimulated human airway epithelial cells BEAS-2B.The expressions of TOP2A,epidermal growth factor receptor(EGFR),Integrin β1,focal adhesion kinase(FAK),β-catenin,CDK1 and DRP1 were detected by Western Blot.Results GLA intervention could significantly reduce OVA-induced asthma airway remodeling,airway smooth muscle thickening,collagen deposition around the airway,the number of eosinophils in alveolar lavage fluid,the expression of pro-inflammatory cytokines such as IL-4,and the level of serum IgE.The new target of GLA screened out was TOP2A,which was highly expressed in the lung tissue of the asthma airway remodeling model.GLA intervention could down-regulate its expression.In vitro,intervention with GLA and si-TOP2A could significantly down-regulate the expressions of IL-4-induced TOP2A,EGFR,Integrin β1,FAK and β-catenin.Further studies have found that TOP2A had an interaction relationship with CDK1.si-TOP2A could downregulate the expression of CDK1,and knockdown of CDK1 could significantly down-regulate the expression of phosphorylated DRP1.Conclusion GLA may alleviate asthma airway remodeling by targeting the TOP2A/CDK1 signaling pathway,providing experimental evidence for the clinical diagnosis and treatment of asthma airway remodeling in asthma.