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

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.

Objective To investigate the protective effect and underlying mechanisms of HydroMg, a novel sustained-release hydrogen donor, in a model of doxorubicin (DOX)-induced chronic cardiotoxicity. Methods H9C2 cells were treated with 1 μmol/L DOX and/or 1 μg/mL HydroMg, and mitochondrial membrane potential, reactive oxygen species (ROS) levels, and apoptosis were measured. In the animal experiment, mice were divided into control, HydroMg, DOX, and DOX＋HydroMg groups. The HydroMg group received intraperitoneal injection of HydroMg (100 mg/kg). Chronic cardiotoxicity was established by intraperitoneal injection of DOX (5 mg/kg every week) for four consecutive weeks; In the DOX＋HydroMg group, HydroMg (100 mg/kg) was administered intraperitoneally 4–5 h prior to each DOX injection. Cardiac function and remodeling were evaluated by echocardiography and heart weight index (HWI). The long-term survival of mice were analyzed. Subsequently, transcriptome sequencing was performed on myocardial tissues from the DOX group to identify key molecular alterations compared with controls. Results At the cellular level, HydroMg treatment effectively reversed DOX-induced mitochondrial dysfunction and oxidative stress, as evidenced by restored membrane potential, reductions in total ROS and mitochondrial superoxide levels by approximately 30% and 9%, respectively, and a decrease in the apoptosis rate from 34.13% to 18.27%. In the animal model, compared with the DOX group, HydroMg intervention increased left ventricular ejection fraction (LVEF) and fractional shortening (LVFS) by 9.62% and 5.82%, respectively, attenuated the reduction in HWI (4.41 mg/mm vs 3.53 mg/mm), and improved the 4-week survival rate (80% vs 60%). Transcriptomic analysis revealed that the core molecular features of DOX-induced cardiotoxicity, including widespread suppression of oxidative phosphorylation and antioxidant pathways. Conclusions HydroMg protects against DOX-induced chronic cardiotoxicity by alleviating oxidative stress and improving mitochondrial function, and provides a potential therapeutic strategy against DOX-related cardiotoxicity.

Objective To analyze the circuit-qi patterns during early embryonic period and at conception in congenital heart disease(CHD)patients based on the five-circuit and six-qi theory,and to explore the pathogenesis and etiology of CHD from a circuit-qi perspective.Methods With 16 400 non-CHD individuals as the healthy control group,a statistical analysis was performed for the circuit-qi patterns during early embryogenesis and at conception in 4 100 CHD patients(CHD group).Results The following factors were identified as significant predisposing factors for CHD:yearly circuit being excessive fire circuit during early embryogenesis,yearly qi being taiyang cold water of celestial qi combined with taiyin damp earth of terrestrial qi during early embryogenesis,yearly circuit being concurrent excessive fire circuit and earth circuit deficiency at conception,and yearly qi being taiyin damp earth of terrestrial qi paired with jueyin wind wood of celestial qi at conception(all P＜0.05 or P＜0.01).Conclusion There is a certain correlation between circuit-qi endowment during embryonic development and the prevalence of CHD.The core pathogenesis of CHD is rooted in heart-spleen insufficiency,with hyperactive heart-fire and cold kidney-water as its manifestations,and spleen deficiency failing in transportation serves as an important contributing factor in the development and progression of CHD.

Over the past 40 years,prenatal ultrasound in China has undergone a transformative evolution,from basic grayscale imaging to the integration of artificial intelligence(AI).Initial efforts focused on identifying major fetal anomalies and establishing standardized screening systems.In subsequent decades,advances such as 3D/4D imaging,quantitative diagnostic models and multimodal approaches enhanced the accuracy and scope of assessments.Recently,the emergence of AI-driven diagnostics,early trimester screening and multi-omics integration have ushered Chinese prenatal ultrasound into an era of precision and intelligence.Chinese scholars have not only adopted global innovations,but also contributed original,locally adapted solutions and multidisciplinary frameworks.Looking ahead,future development will emphasize intelligent assistance,equitable access,evidence-based systems,and cross-disciplinary integration-driving continued improvement in birth defect prevention and maternal-fetal health.

IgG4-related sclerosing cholangitis (IgG4-SC) is an IgG4-related disease charac-terized by bile duct wall thickening and luminal stricture. Its pathogenesis involves complex multi-dimensional regulation, including immune imbalance, genetic epigenetic regulation, microbial ecolo-gical abnormalities, and activation of fibrotic pathways. Due to the lack of specificity in clinical mani-festations, IgG4-SC is easily misdiagnosed as biliary tract diseases such as cholangiocarcinoma and primary sclerosing cholangitis in the early stage, leading to diagnostic difficulties. At present, gluco-corticoids are the preferred treatment option. Although most patients can quickly recover in the early stages, high recurrence rates and hormone dependence limit the long-term effectiveness of treatment. The authors combine the latest research progress at home and abroad to deeply analyze the pathogenesis, clinical manifestations, and diagnosis of IgG4-SC, focusing on treatment strategies and cutting-edge advances, in order to provide reference and inspiration for clinical practice.

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.

Objective To explore the relationship between the nutritional risk and the risk of frequent acute exacerbation of chronic obstructive pulmonary disease(COPD).Methods The patients with acute exac-erbation of COPD(AECOPD)hospitalized in the respiratory and critical care medicine department of the First Affiliated Hospital of Xiamen University were collected and divided into the frequent acute exacerbation risk group(FE)and non-frequent exacerbation risk group(NE).The nutritional risk was evaluated by the Nutri-tional Risk Screening Scale-2002(NRS-2002)(1-2 points as no nutritional risk,3-7 points as nutritional risk).The relationship between the two was analyzed by statistics and logistic regression.Results The FE group had longer hospital stay(P<0.01)and a higher proportion of hypertension(P<0.01).In terms of in-flammatory indicators,the neutrophil to albumin ratio(P<0.01)and platelet to lymphocyte ratio(P<0.05)in the FE group were significantly increased.In the aspect of nutritional status,the NRS-2002 score in the FE group showed a higher proportion of nutritional risk population(P<0.01),meanwhile the total protein(P<0.01)and albumin(P<0.05)levels were significantly decreased.After adjusting the confounding factors such as gender,hospitalization duration,inflammatory markers and history of underlying diseases,the full fac-tor logistic regression analysis revealed that the frequent acute exacerbation risk in COPD patients with nutri-tional risk was significantly higher that in the patients with no nutritional risk[odds ratio(OR)=2.948;95%confidence interval(95%CI):1.112-7.816;P<0.05].Conclusion The COPD patients with nutritional risk in NRS-2002 scores exhibit a significantly increased risk of frequent acute exacerbation compared to those without nutritional risk.