ObjectiveTo investigate the efficacy and safety of lenvatinib combined with sintilimab versus atezolizumab combined with bevacizumab in patients with unresectable hepatocellular carcinoma （uHCC）， aims to provide real-world evidence for clinical personalized treatment. MethodsA retrospective analysis was performed for 78 patients with uHCC who were admitted to Beijing Ditan Hospital， Capital Medical University， from January 1， 2023， to May 31， 2025， and according to the treatment modality， they were divided into lenvatinib+sintilimab group （L+S group with 49 patients） and atezolizumab+bevacizumab group （A+T group with 29 patients）. The primary endpoints were progression-free survival （PFS） and overall survival （OS）， and the secondary endpoints included objective response rate （ORR）， disease control rate （DCR）， and the incidence rate of adverse events. The independent-samples t test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups； the chi-square test was used for comparison of categorical data between groups. The Kaplan-Meier method was used for survival analysis， and the log-rank test was used for comparison between groups. ResultsThe 78 patients had a median PFS of 9 months and a median OS of 15 months. The median PFS was 11 months in the L+S group and 7 months in the A+T group， with no significant difference between the two groups （χ²=0.247， P=0.619）； the median OS was 19 months in the L+S group and 12 months in the A+T group， with a significant difference between the two groups （χ²=6.565， P=0.010）. There were no significant differences between the two groups in complete remission， partial remission， stable disease， disease progression， DCR， and ORR （all P>0.05）. The L+S group had a significantly higher incidence rate of adverse events than the A+T group （95.9% vs 75.9%， P=0.007）， and there was a significant difference in the incidence rate of grade ≥3 adverse events between the L+S group and the A+T group （65.3% vs 34.5%， P=0.008）. ConclusionCompared with atezolizumab combined with bevacizumab， lenvatinib combined with sintilimab can improve the OS of patients with uHCC， while atezolizumab combined with bevacizumab has a better safety profile.

Objective:To investigate the relationship between terminal soft tissue infection of the diabetic foot and glucose and lipid metabolism as well as inflammatory factors.Methods:A total of 126 patients with diabetes mellitus combined with foot-soft tissue infections, who hospitalized in our hospital from March 2018 to February 2023 were divided into mild group (46 cases), moderate group (43 cases) and severe infections group (37 cases) according to the degree of foot-soft tissue infection before treatment. The glucose and lipid metabolism and inflammatory factors of patients among the different groups were compared, and the effects of glycolysis and lipid metabolism and inflammatory factors on the soft tissue infection at the end of diabetic foot were analyzed by logistic regression analysis. Patients were treated with antimicrobial therapy and other treatments. After 2 weeks of anti-infective treatment, if three consecutive cultures of secretions were negative for bacteria, antibiotic therapy was discontinued and glucose-lipid metabolism and inflammatory factors after treatment were compared. Patients were followed up for 1 year, and the changes in glucose-lipid metabolism and inflammatory factors were observed in toe or limb amputations group ( n=38) and non-toe or limb amputations group ( n=88). Results:Before treatment, the levels of total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), free fatty acids (FFA), fasting plasma glucose (FPG), fasting insulin (FINS), glycosylated hemoglobin typeA1c (HbA 1c), vascular cell adhesion molecule-1 (VCAM-1), C reactive protein (CRP,) tumor necrosis factor α (TNF-α) and interleukin 6 (IL-6) in the mild group were significantly lower than those in the moderate and severe group, and the adiponectin (APN) level was significantly higher than that in the moderate and severe group (all P<0.05). Logistic regression analysis showed that FFA, FPG, FINS, APN, VCAM-1, CRP, TNF-α and IL-6 were risk factors of terminal soft tissue infection ( P<0.05). After treatment, the levels of TC, LDL-C, FFA, FPG, FINS, HbA1c, VCAM-1, CRP, TNF-α and IL-6 were significantly decreased, and the APN was significantly increased (all P<0.05). The levels of TC, LDL-C, FFA, FPG, FINS, HbA1c, VCAM-1, CRP, TNF-α, and IL-6 were significantly higher in the toe/limb amputation group than in the non-toe/limb amputation group, and the APN levels were significantly lower in the toe/limb amputation group than in the non-toe/limb amputation group (all P<0.05). Conclusion:There is a close relationship between glucose and lipid metabolism, inflammatory factors and terminal soft tissue infection of the diabetic foot.

Objective To observe the value of artificial intelligence iterative reconstruction(AIIR)for low-dose chest CT images of infants with congenital heart disease.Methods Totally 262 infants with congenital heart disease who would undergo chest CT scanning were prospectively enrolled and randomly divided into low-dose group(n=142)and conventional dose group(n=120).Chest CT scanning with tube voltage of 80 kVp and tube current of 10 mAs was performed in low-dose group,and hybrid iterative reconstruction(HIR,group A)and AIIR(group B)were used to reconstruct images,respectively.In conventional dose group,chest CT scanning with tube voltage of 80 kVp and tube current of 100 mAs was performed,and HIR was used to reconstruct images(group C).Then subjective and objective evaluation on image quality were performed,the results were compared among 3 groups,and the value of AIIR was analyzed.Results Significant differences of image quality and clarity of displaying structures were found among 3 groups(all P＜0.001).Among them,except for the clarity of interlobar fissure,no significant difference of subjective scores was found between low-dose AIIR images and conventional dose HIR images(all corrected P＞0.05),while subjective scores of low-dose HIR images were all lower than those of low-dose AIIR images and conventional dose HIR images(all corrected P＜0.05).Significant differences of standard deviation(SD),signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were found among 3 groups(all P＜0.001)and between each 2 groups(all corrected P＜0.05).The effective dose of low-dose group and conventional dose group was 0.09(0.08,0.10)and 0.85(0.75,1.03)mSv,respectively,and the former was lower than the latter(Z=-13.942,P＜0.001).Conclusion Using AIIR could obtain low-dose chest CT images of infants with quality comparable to conventional chest CT images.

This article investigates the collaborative management of metabolic dysfunction-associated fatty liver disease （MAFLD） and chronic kidney disease （CKD）. As major public health issues worldwide， MAFLD and CKD are closely related in terms of epidemiology， pathogenesis， and management strategies， and however， there are still many challenges in the multidisciplinary collaborative management of the two diseases. This article systematically elaborates on the epidemiology of MAFLD and CKD， summarizes their common risk factors such as metabolic disorder， genetic susceptibility， and active metabolites， and reviews the mutual screening strategies and combined management models based on noninvasive imaging， serum markers， FIB-4 score， and liver stiffness measurement. In addition， this article summarizes the advances in the application of lifestyle intervention and new drugs （such as GLP-1 receptor agonists and SGLT-2 inhibitors） and emphasizes the importance of multidisciplinary collaboration in improving the prognosis of patients. Due to the close association between MAFLD and CKD， their joint management is crucial， and therefore， it is necessary to establish a multidisciplinary collaboration mechanism and implement the measures of precise screening， comprehensive treatment， and long-term monitoring， so as to improve the prognosis of patients and reduce the risk of complications. Finally， this article proposes that in the future， more effective combined treatment regimens should be explored to expand the clinical options for the co-management of the liver and the kidney.

To guide transfusion practice in critically ill children who often need plasma and platelet transfusions, the Transfusion and Anemia Expertise Initiative-Control/Avoidance of Bleeding (TAXI-CAB) developed Recommendations and Expert Consensus for Plasma and Platelet Transfusion Practice in Critically Ill Children. This guideline addresses 53 recommendations related to plasma and platelet transfusion in critically ill children with 8 kinds of diseases, laboratory testing, selection/treatment of plasma and platelet components, and research priorities. This paper introduces the specific methods and results of the recommendation formation of the guideline.

Objective To explore and identify the nutritional/inflammatory indicator with the highest predictive potential for overall survival(OS)in postoperative tumor patients so as to provide guidance for postoperative rehabilitation of tumor patients.Methods Data from 3 191 surgical patients were collected,including 15 nutritional/inflammatory indicators.The maximum selection rank statistic method was used to calculate the optimal cut-off values for continuous indicators.The Kaplan-Meier method was used to assess OS,and Cox proportional hazards models were used to analyze the association between the aforementioned 15 indicators and survival.The predictive value of these 15 indicators was evaluated with receiver operating characteristic(ROC)curves and C-index.Results Multivariate analysis showed that all 15 indicators were significantly associated with poorer OS in surgical patients(P＜0.05 for all).Time-dependent area under the curve(AUC)and C-index analysis indicated that 3 indicators with the highest predictive potential in OS in postoperative tumor patients were the nutritional risk index(NRI)(C-index:0.597),C-reactive protein-to-albumin ratio(CAR)(C-index:0.587),and C-reactive protein-to-lymphocyte ratio(CLR)(C-index:0.587).The optimal cut-off value for NRI was determined to be 104.31(i.e.,NRI＜104.31 suggests malnutrition)with the maximum selection rank statistic method,the optimal cut-off value for CAR to be 0.05(i.e.,CAR≥0.05 suggests a strong inflammatory response,often accompanied by malnutrition),and the optimal cut-off value for CLR to be 1.18(i.e.,CLR≥1.18 suggests a strong inflammatory response).Subgroup analysis indicated that NRI,CAR,and CLR had good correlation with tumor staging,and there were significant differences between tumor node metastasis(TNM)Ⅲ/Ⅳ stage patients and TNM Ⅰ/Ⅱ stage patients when there was a strong inflammatory response or malnutrition.Conclusion In postoperative tumor patients,NRI,CLR,and CAR have high prognostic value.Combining these with the patient's clinical stage,it enables more precise guidance for clinical diagnosis and treatment strategies.

Objective:To screen the optimal machine learning model for predicting the recurrence condition of hepatocellular carcinoma (HCC) at different time points post-surgery, based on the cutoff value of the Ki67 positive proliferation index condition calculated from recurrence-free survival and combined with various clinical features.Methods:retrospective study included initially treated patients with solitary HCC who underwent radical surgery at the Fifth Medical Center of the PLA General Hospital from January 2013 to March 2023. Data included general clinical data, preoperative laboratory parameters, and surgical pathology information about the subjects. The postoperative recurrence status was assessed by querying the medical record system or by telephone follow-up. The Ki67 positive index cutoff value was determined by the X-tile software based on the patient's recurrence-free survival status and time analysis. Survival rates were calculated using the Kaplan-Meier method, and survival curves were plotted. The study population was randomly divided into training and testing groups in a 7:3 ratio using a computer-generated random number method. The minimum redundancy maximum relevance (mRMR) method was used for feature variable selection. Predictive models for postoperative HCC recurrence conditions in patients with HCC were constructed using random forest, support vector machine, logistic regression, and gradient boosting decision tree machine learning algorithms. Inter-group comparisons for continuous data were performed using the t-test or Mann-Whitney U test. Inter-group comparisons of enumeration data were performed using the Pearson χ2 test, continuity-corrected χ2 test, or Fisher's exact test. Results:The cutoff values for the Ki67 positivity index were 0.3 and 0.5 in 510 cases, with a follow-up time ranging from 1.2 to 11.4 years (median: 6.2 years). The recurrence-free survival time was between 1 and 135 months (median: 32 months), with recurrence-free survival rates post-surgery at 1, 2, 3, and 5 years were 87.5%, 77.1%, 61.2%, and 54.5%, respectively. The top five variables predicted HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years, in accordance with information obtained by the mRMR screen out. The Ki67 positivity index screened a successfully constructed machine learning model to predict HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years. The machine learning model based on the gradient boosting decision tree algorithm had the best prediction performance among them (areas under the receiver operating characteristic curves for predicting HCC recurrence within six months in the training and validation sets were 0.996 and 0.946, and accuracies were 0.972 and 0.935, respectively).Conclusion:A machine learning model was successfully constructed using the Ki67 positivity index combined with four readily available clinical features to predict HCC recurrence. The machine learning model based on the gradient boosting decision tree algorithm demonstrated the best performance in terms of predicting HCC recurrence within six months after surgery.

Objective To explore the identification of adverse reactions of type 1 diabetes during lung cancer treat-ment with cardonilimab and the pharmaceutical monitoring of patient's blood glucose management,and to accumulate ex-perience for the prevention,treatment,and pharmaceutical services of related diseases.Methods The clinical pharmacist assisted doctors in judging adverse drug reactions and identifying suspicious drugs in a patient with lung cancer who devel-oped type 1 diabetes.At the same time,the clinical pharmacist provided suggestions for clinical treatment by referring to clinical evidence,and providing medication education,pharmaceutical care,and long-term follow-up for the patient's blood glucose management.Results After intensive insulin therapy and dietary control,the patient's high glucose symptoms were relieved,and the blood glucose gradually stabilized.The patient continued to be challenged using cardonilimab immu-notherapy,and the condition was stable.Conclusions Clinical pharmacists assist physicians in identifying adverse drug reactions on time and participate in the full process management of patient medication.They play an active therapeutic role in the medical team and reflect the value of pharmaceutical services.

Cardiovascular disease(CVD)is the leading cause of death among patients with non-alcoholic fatty liver disease(NAFLD),which is also recognized as an independent risk factor for CVD.Exercise has emerged as a prom-ising therapeutic approach that can ameliorate a range of conditions,including those related to the cardiovascular and en-docrine systems.Recent research has highlighted the critical role of the integrated stress response(ISR)in the mecha-nisms and manifestations of these diseases.Notably,exercise influences ISR protein markers,regulates protein expres-sion,alleviates stress levels,and ultimately impacts disease onset and progression.Current studies suggest that the effects of ISR modulation through various exercise conditions differ for the heart and liver.However,evidence indicates that un-der specific circumstances,exercise can engage the PERK and GCN2 pathways to inhibit the ISR,thereby regulating glu-cose and lipid metabolism,apoptosis,and endoplasmic reticulum stress.These actions contribute to the protection of car-diac and hepatic function,ultimately improving outcomes in CVD and NAFLD.This review aims to provide novel insights and a theoretical foundation for the role of exercise in mitigating the onset of NAFLD,CVD,and related disorders.

Cardiovascular disease(CVD)is the leading cause of death among patients with non-alcoholic fatty liver disease(NAFLD),which is also recognized as an independent risk factor for CVD.Exercise has emerged as a prom-ising therapeutic approach that can ameliorate a range of conditions,including those related to the cardiovascular and en-docrine systems.Recent research has highlighted the critical role of the integrated stress response(ISR)in the mecha-nisms and manifestations of these diseases.Notably,exercise influences ISR protein markers,regulates protein expres-sion,alleviates stress levels,and ultimately impacts disease onset and progression.Current studies suggest that the effects of ISR modulation through various exercise conditions differ for the heart and liver.However,evidence indicates that un-der specific circumstances,exercise can engage the PERK and GCN2 pathways to inhibit the ISR,thereby regulating glu-cose and lipid metabolism,apoptosis,and endoplasmic reticulum stress.These actions contribute to the protection of car-diac and hepatic function,ultimately improving outcomes in CVD and NAFLD.This review aims to provide novel insights and a theoretical foundation for the role of exercise in mitigating the onset of NAFLD,CVD,and related disorders.