Objective:To investigate the application value of risk prediction model for acute kidney injury (AKI) after donation of cardiac death (DCD) liver transplantation based on machine learning algorithm.Methods:The retrospective cohort study was conducted. The clinicopathological data of 1 001 pairs of DCD liver transplant donors and recipients at five hospitals, including The First Affiliated Hospital of Zhejiang University School of Medicine et al, in the Chinese Liver Transplan-tation Registry from January 2015 to December 2023 were collected. Of the donors, there were 825 males and 176 females. Of the recipients, there were 806 males and 195 females, aged 52 (range, 18-75)years. There were 281 recipients included using oversampling technique, and all 1 282 recipients were divided to the training set of 897 recipients and the validation set of 385 recipients by a ratio of 7∶3 using computer-generated random numbers. Seven prediction models, including Random Forest (RF), Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), Logistic Regression (LR), Decision Tree (DT), K-Nearest Neighbors (KNN), and Categorical Boosting (CatBoost), were constructed for AKI after liver transplantation based on machine learning algorithm. Observation indicators: (1) comparison of clinicopathological characteristics between recipients with and without AKI and donors; (2) follow-up and survival of recipients with and without AKI; (3) construction and validation of nomogram prediction model of AKI after liver transplantation; (4) construction and validation of machine learning prediction model of AKI after liver transplantation. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test, and comparison among groups was conducted using the Kruskal-Wallis H test. Comparison of count data between groups was conducted using the chi-square test or corrected chi-square test. Kaplan-Meier method was used to calculate survival rates and plot survival curves. Logistic regression model was performed for univariate and multivariate analyses. The receiver operating characteristic (ROC) curve was plotted to calculate area under curve (AUC) and 95% confidence interval ( CI). The performance of prediction model was evaluated using DeLong test, accuracy, sensitivity, specificity. The calibration curve was plotted to evaluate the performance of predicted probability and actual probability. The interpretability analysis of machine learning algorithm and SHapley Additive exPlanations was used to explain the model decision separately. Results:(1) Comparison of clinicopathological characteristics between recipients with and without AKI and donors. Of 1 001 recipients, there were 360 cases with AKI and 641 cases without AKI after liver transplantation. There were significant differences in body mass index (BMI), hepatic encepha-lopathy, hepatitis B surfact antigen (HBsAg), hepatorenal syndrome (HRS) and donor diabetes, donor blood urea nitrogen, donor alanine aminotransferase, donor aspartate aminotransferase, mass of graft, volume of blood loss during liver transplantation, warm ischema time of donor liver, and operation time between recipients with and without AKI ( Z=-4.337, χ2=9.751, 9.088, H=11.142, χ2=5.286, Z=-3.360, -2.539, -3.084, -1.730, -3.497, -1.996, -2.644, P<0.05). (2) Follow-up and survival of recipients with and without AKI. All the 1 001 recipients received follow-up. The recipients with AKI after liver transplantation were followed up for 18.6(range, 0-102.3)months, and recipients without AKI after liver transplantation were followed up for 31.9(range, 0.1-105.5)months. The 1-, 3-, and 5-year overall survival rates were 72.1%, 63.5%, and 59.3% of recipients with AKI, versus 86.7%, 76.7%, and 72.5% of recipients without AKI, respectively, showing a significant difference in overall survival between them ( χ2=26.028, P<0.05). (3) Construction and validation of nomogram predic-tion model of AKI after liver transplantation. Results of multivariate analysis showed that recipient BMI, recipient creatinine, recipient HBsAg, recipient HRS, donor blood urea nitrogen, donor crea-tinine, anhepatic phase and volume of blood loss during liver transplantation were independent risk factors for AKI of recipients after liver transplantation ( odds ratio=1.113, 0.998, 0.605, 1.580, 1.047, 0.998, 1.006, 1.157, 95% CI as 1.070-1.157, 0.996-1.000, 0.450-0.812, 1.021-2.070, 1.021-1.074, 0.996-0.999, 1.000-1.012, 1.045-1.281, P<0.05). The nomogram prediction model of AKI after liver transplantation was constructed based on the results of multivariate analysis. Results of ROC curve showed that the AUC of 0.666 (95% CI as 0.637-0.696). (4) Construction and validation of machine learning prediction model of AKI after liver transplantation. Based on the Lasso regression analysis, seven machine learning algorithm prediction models, including RF, XGBoost, SVM, LR, DT, KNN, and CatBoost, were constructed, with ROC curves of the validation set plotted. The AUC of above models were 0.863, 0.841, 0.721, 0.637, 0.620, 0.708, 0.731, accuracies were 0.764, 0.782, 0.701, 0.592, 0.605, 0.605, 0.681, sensitivities were 0.764, 0.789, 0.719, 0.588, 0.694, 0.694, 0.704, specificities were 0.763, 0.774, 0.683, 0.597, 0.511, 0.511, 0.656, respectively. Delong test showed that the RF model with the highest AUC of 0.863(95% CI as 0.828-0.899). Calibration curve analysis showed the predicted probability closest to the actual probability of RF model, indicating the model with a good validation value. Further sorting of SHAP of different clinical factors based on RF model showed that recipient BMI, donor blood urea nitrogen, volume of blood loss during liver transplantation, donor age had large effects on the output outcomes. Conclusion:The nomogram prediction model and seven machine learning algorithm prediction models for AKI after DCD liver transplantation are constructed, and the RF model based on machine learning has a better predictive performance.

Objective To explore the clinical characteristics and treatment of immune checkpoint inhibitors(ICIs)-associated myocarditis in patients with bladder cancer(BCa).Methods Clinical and follow-up data of 213 BCa patients treated with ICIs in our hospital during Jan.2020 and May 2024 were collected.The data of 7 patients(3.3％)who developed ICIs-associated myocarditis were analyzed.Results The cohort included 2 females and 5 males(median age:72 years).Four patients were asymptomatic,while 3 presented with chest tightness,dyspnea,or orthopnea.All patients showed significantly elevated high-sensitivity troponin T.Only 2 patients had markedly increased N-terminal pro-B-type natriuretic peptide.Electrocardiograms were normal in 4 patients,while 2 patients exhibited significantly reduced left ventricular global longitudinal strain on echocardiography,with cardiac magnetic resonance confirming acute myocarditis.All patients discontinued ICIs and received first-line methylprednisolone upon diagnosis.Two patients showed no improvement after 5 days of treatment and received second-line therapy.One patient received intravenous immunoglobulin and infliximab without response,but improved after third-line tofacitinib.One patient developed acute respiratory failure after intravenous immunoglobulin administration and was then transferred to ICU,and died of multiple organ failure after 10 days.Conclusion ICIs-associated myocarditis is a relatively rare but clinically distinct immune-related adverse reaction during BCa treatment.Methylprednisolone is the first-line therapy,while critically ill and steroid-resistant patients often require early combined immunosuppressants based on individualized multidisciplinary discussion.

Objective To collect and analyze outpatient prescription data for exogenous cough treatment from a hospital in Shenzhen,and to identify the characteristics and medication patterns of traditional Chinese medicine(TCM).Methods This study collected prescriptions from a hospital in Shenzhen for exogenous cough treatment in January 2024.R language for data mining were used to analyze the medication frequency,clustering patterns,and association rules in the treatment of exogenous cough by TCM and to explore the medication patterns and the usage of classic formulas in TCM for this condition.Results A total of 451 outpatient prescriptions for exogenous cough were include,the top ten most frequently used herbs were Licorice,Bitter almond,Bellflower,Ephedra,Tangerine peel,Stemonae radix,Tuckahoe,Pinellia ternata,Nepeta,Bulb of thunberg fritillary.Cluster analysis and association rules revealed that San'ao decoction,Kikyodon soup,and Zhisou powder were commonly prescribed,targeting lung function,dispersing wind,and resolving phlegm to effectively alleviate cough symptoms.Significant differences in medication usage were observed across different syndrome types.For the wind cold attacking lung pattern,the core herbs were warm in nature and focused on dispersing with acrid-warm properties.Conversely,the treatment of wind heat attacking the lung pattern typically involved cold-natured herbs,with a primary focus on clearing and draining lung heat.Stratification by age revealed that the pediatric group often used drugs with mild properties,such as Stemona and Shegan.The young adult group tended to be prescribed cold-natured drugs like Forsythia and Hogfonnel Root.The middle-aged and elderly group preferred warming and tonifying drugs such as Japanese Catnip and Perilla frutescens.Conclusion The TCM treatment of exogenous cough primarily focuses on releasing the exterior and dispersing the lung.Due to the region's subtropical monsoon climate and temperature fluctuations physicians flexibly modified classical formulas such as San'ao decoction and Zhisou powder according to individual constitutions and symptom patterns.This targeted,syndrome-based approach effectively disperses the lung qi,stops cough and transforms phlegm,and alleviates cough.

Objective To evaluate the efficacy and safety of transcatheter aortic valve implantation(TAVI)for the treatment of primary aortic valve regurgitation(NAVR)and to compare the difference in the choice of prosthetic valve size and the difference in complications with aortic stenosis(AS).Methods According to the definition of Valve Academic Research Consortium(VARC-3),143 patients with NAVR/AS treated with TAVI and patients with NAVR treated with surgical aortic valve replacement(SAVR)at Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,China,from March 2019 to September 2024 were selected,and clinical data on baseline,perioperative,and primary endpoint events were were retrospectively collected and compared.Results Forty-three patients with NAVR were treated with TAVI,with a device success rate of 86.0％and a surgical success rate of 95.3％.Subgroup comparisons:(1)NAVR-TAVI group than NAVR-SAVR group:patients in the TAVI group had a significantly shorter operative time than those in the SAVR group(P＜0.001);complete left bundle branch block was more likely to occur after TAVI(P=0.042),and complete right bundle branch block was more likely to occur after SAVR(P=0.044).SAVR postoperatively The incidence of congestive heart failure was higher(P=0.013),and the mortality rate was significantly higher in the SAVR group than in the TAVI group(P=0.019).(2)NAVR-TAVI group than AS-TAVI group:the differences in access selection,THV size[28(22,34)mm vs.24(22,32)mm,P=0.044]and proportion of THV overdiameter[14％(7％,20％)vs.7％(3％,11％),P＜0.001]were statistically significant.patients in AS and NAVR groups had 1 case of permanent pacing after TAVI treatment.In the AS and NAVR groups,there was 1 case of permanent pacemaker implantation after TAVI.2 patients in the AS group were converted to surgical treatment,and 6 patients died.Conclusions The use of"off-label"(transfemoral)and"on-label"(transapical)TAVI devices(both from domestic sources)is safer than SAVR for the treatment of NAVR,especially in elderly and high-risk patients.Compared with patients with AS treated with TAVI,larger diameter annulas are usually selected for NAVR,with higher rates of valve migration,but overall safety and efficacy are comparable to AS.

Aim To investigate the effect of eplerenone(EPL)on the alleviation of rheumatoid arthritis(RA)based on voltage-gated potassium channel 1.3(Kv1.3)/B-cell lymphoma-2(Bcl-2)/nuclear factor-κB(NF-κB)to inhibit macrophage M1 polarization in mice.Methods Bioinformatics technology was used to screen disease pathways and targets,and the binding affinity and stability of EPL-Kv1.3 complex system were calculated.A mouse model of RA was established and treated with EPL by intragastric administration for 42 days.The indicators reflecting drug remission of RA were recorded and detected.RAW264.7 cells were treated with EPL to detect the indicators reflecting the effect of drugs on macrophage M1 polarization,and to verify the upstream and downstream key targets of re-lated signaling pathways mediated by drugs.Results Bioinformatics analysis showed that the disease targets were mainly involved in inflammatory response and NF-κB signaling pathway,and EPL-Kv1.3 had high affinity and stable binding.In animal experiments,the detec-tion of anti-cyclic citrullinated peptide antibody(CCP-Ab)and joint score indicated the successful establish-ment of the model.Compared with the model group,EPL could reduce the toe redness and swelling score,alleviate the plantar redness and swelling,synovial swelling,and reduce fibrosis and inflammatory cell in-filtration in mice.The medium-dose and high-dose EPL groups reduced the HE staining score(P＜0.05,P＜0.01),and the high-dose EPL group reduced the serum RF in mice(P＜0.01).CCK-8 results showed that low,medium and high doses of EPL had no effect on the activity of RAW264.7 macrophages(P＞0.05).Compared with the model group,EPL treatment significantly reduced the contents of IL-6,TNF-α and NO in supernatant of the cells(P＜0.01),reduced the nuclear translocation of NF-KB-p65 in the high-dose EPL group,reduced the M1 polarization and increased the proportion of M2 polarization in the medium and high-dose EPL groups(P＜0.01).The mRNA levels of MyD88,IκB-α,NF-κB-p65,NF-KB-p50,IL-1 β and iNOS were significantly reduced in each dose group of EPL(P＜0.01).EPL significantly increased the pro-tein expression of Bcl-2(P＜0.01)and decreased the protein expression of Kv1.3,MyD88,p-IκB-α/IκB-α,p-p65/p65,IL-1 β and iNOS(P＜0.05).Conclusion EPL may play an immunomodulatory role in relieving RA in mice by regulating Kv1.3/Bcl-2/NF-κB path-way,reducing macrophage M1 polarization and amelio-rating macrophage-associated inflammatory response.

Aim To investigate the effect of eplerenone(EPL)on the alleviation of rheumatoid arthritis(RA)based on voltage-gated potassium channel 1.3(Kv1.3)/B-cell lymphoma-2(Bcl-2)/nuclear factor-κB(NF-κB)to inhibit macrophage M1 polarization in mice.Methods Bioinformatics technology was used to screen disease pathways and targets,and the binding affinity and stability of EPL-Kv1.3 complex system were calculated.A mouse model of RA was established and treated with EPL by intragastric administration for 42 days.The indicators reflecting drug remission of RA were recorded and detected.RAW264.7 cells were treated with EPL to detect the indicators reflecting the effect of drugs on macrophage M1 polarization,and to verify the upstream and downstream key targets of re-lated signaling pathways mediated by drugs.Results Bioinformatics analysis showed that the disease targets were mainly involved in inflammatory response and NF-κB signaling pathway,and EPL-Kv1.3 had high affinity and stable binding.In animal experiments,the detec-tion of anti-cyclic citrullinated peptide antibody(CCP-Ab)and joint score indicated the successful establish-ment of the model.Compared with the model group,EPL could reduce the toe redness and swelling score,alleviate the plantar redness and swelling,synovial swelling,and reduce fibrosis and inflammatory cell in-filtration in mice.The medium-dose and high-dose EPL groups reduced the HE staining score(P＜0.05,P＜0.01),and the high-dose EPL group reduced the serum RF in mice(P＜0.01).CCK-8 results showed that low,medium and high doses of EPL had no effect on the activity of RAW264.7 macrophages(P＞0.05).Compared with the model group,EPL treatment significantly reduced the contents of IL-6,TNF-α and NO in supernatant of the cells(P＜0.01),reduced the nuclear translocation of NF-KB-p65 in the high-dose EPL group,reduced the M1 polarization and increased the proportion of M2 polarization in the medium and high-dose EPL groups(P＜0.01).The mRNA levels of MyD88,IκB-α,NF-κB-p65,NF-KB-p50,IL-1 β and iNOS were significantly reduced in each dose group of EPL(P＜0.01).EPL significantly increased the pro-tein expression of Bcl-2(P＜0.01)and decreased the protein expression of Kv1.3,MyD88,p-IκB-α/IκB-α,p-p65/p65,IL-1 β and iNOS(P＜0.05).Conclusion EPL may play an immunomodulatory role in relieving RA in mice by regulating Kv1.3/Bcl-2/NF-κB path-way,reducing macrophage M1 polarization and amelio-rating macrophage-associated inflammatory response.

Objective To analyze the clinical characteristics associated with prenatal diagnosis of FBN 1 gene mutations in a family.This study explores the correlation between gene mutations and their corresponding clini-cal phenotypes,emphasizing the significance of prenatal diagnosis in providing a foundation for subsequent follow-up and intervention.Methods Genomic DNA was extracted from the amniotic fluid of the fetus and the peripheral blood of the parents for trio-whole exome sequencing.The candidate variant identified was subsequently validated using Sanger sequencing.Results The pedigree comprised four generations and nine family members,with four individuals exhibiting slender limbs and toes.Among these,three showed congenital lens dislocation or subluxation.No abnormalities in the cardiovascular system were observed.Genetic testing of symptomatic individuals revealed a heterozygous mutation(c.6158G>T)in the FBN 1 gene.Conclusions The FBN 1 c.6158G>T(p.C2053F)muta-tion was identified as the pathogenic variant responsible for the condition in this family,exhibiting autosomal domi-nant inheritance.To our knowledge,this is the first reported case of the FBN 1 c.6158G>T(p.C2053F)mutation in China.Prenatal diagnosis can facilitate early confirmation of the condition and provide a foundation for subsequent in-terventions and follow-up care.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

An implantable cardiac monitor(ICM)is a subcutaneous electronic device for recording and remotely transmitting electrocardiographic events.New-generation ICM,like the Reveal LINQ,have extended arrhythmia monitoring duration and improved diagnostic yield through miniaturization,large storage capacity,and easy implantation.They provide comprehensive monitoring data for cardiovascular disease diagnosis and treatment,optimize individualized treatment plans,and enhance patient prognosis.In recent years,research on ICM in cardiovascular fields has deepened,and their clinical application scope has expanded.They show significant advantages and unique value and are widely used in early cardiovascular disease diagnosis and prognostic management.In the future,ICM are expected to play a bigger role in boosting diagnostic and prognostic capabilities for cardiovascular disease patients,offering stronger support for early disease detection,accurate diagnosis,and effective management.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.