ObjectiveTo investigate the feasibility， safety， and efficacy of surgery-assisted transjugular intrahepatic portosystemic shunt （SA-TIPS） in the treatment of portal hypertension comorbid with complex portal vein thrombosis， including cavernous transformation of the portal vein （CTPV）. MethodsAn analysis was performed for the data of 36 patients with portal hypertension and complex portal vein thrombosis who underwent SA-TIPS in Beijing Shijitan Hospital， Capital Medical University， from November 2023 to January 2025， including general status， technical data of the surgical process （surgical success rate， puncture times， time of operation， the number of stents used， and the length of shunt）， perioperative complications， and surgical recovery. The change in portal pressure gradient （PPG） after shunt was compared， and the rate of reaching the standard for PPG reduction was calculated， as well as stent patency rate within 1 week after surgery. The paired samples t-test was used for comparison of continuous data between two groups. ResultsAmong the 36 patients， 34 （94.4%） underwent SA-TIPS successfully. The incidence rate of perioperative complications was 16.7% （6/36）， including 3 cases of thoraco-abdominal hemorrhage， 2 cases of intraoperative arrhythmia， and 1 case of incision infection. There was a significant reduction in PPG after SA-TIPS （t=19.85， P<0.01）， and the patients achieving a ≥50% reduction in PPG accounted for 76.5% （26/34）. Imaging reexamination within 1 week showed a shunt patency rate of 100%. ConclusionSA-TIPS has a high technical success rate， a favorable safety profile， and good efficacy in the treatment of portal hypertension comorbid with complex portal vein thrombosis （including CTPV）， and therefore， it holds promise for clinical application.

Objective To investigate the protective effects of ferroptosis inhibitor ferrostatin-1(Fer-1)on high-altitude hypoxic lung injury and explore novel preventive strategies for high-altitude hypoxia-induced lung injury.Methods ①Eighteen SPF male Wistar rats(5～6 weeks old,210～230 g)were randomly divided into 3 groups(n=6):normoxic control,hypoxic lung injury,and Fer-1 pretreatment groups.A hypobaric chamber was used to establish a rat model of high-altitude hypoxic lung injury.Liquid chromatography-tandem mass spectrometry(LC-MS/MS)was employed to compare pulmonary protein profiles between normoxic and hypoxic groups,followed by bioinformatics analysis of pathways enriched with differentially expressed proteins(DEPs).Histopathological changes and lung injury scores were assessed with HE staining.ELISA was used to quantify the inflammatory cytokines,flow cytometry and immunofluorescence assay were employed to measure the production of reactive oxygen species(ROS),and spectrophotometry was utilized to determine the contents of Fe2?,glutathione(GSH),malondialdehyde(MDA),and superoxide dismutase(SOD)to evaluate oxidative stress and detect ferroptosis-related markers.② Human bronchial epithelial cells(bronchial epithelium transformed with Ad12-SV40,BEAS-2B)and macrophages induced by tumor human peripheral blood monocytes-1(THP-1)cells were placed in a low oxygen conditions for 48 h to establish a cellular model of hypoxic lung injury,on which Fer-1 was administered as a preventive group.Ferroptosis markers in BEAS-2B cells and inflammatory cytokine secretion in macrophages were analyzed.Results ①Proteomics identified 2 962 proteins,with 357 DEPs(199 up-regulated,158 down-regulated).Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis showed ferroptosis as the most enriched pathway.Hypoxic lung injury resulted in elevated ROS,MDA,Fe2?,and inflammatory cytokines(P<0.05),reduced SOD,GSH,solute carrier family 7 member 11(SLC7A11),glutathione peroxidase 4(GPX4),and ferritin heavy chain 1(FTH1),and increased acyl-coa synthetase long chain family member 4(ACSL4)(P<0.05).Fer-1 pretreatment significantly mitigated oxidative stress(ROS,MDA,SOD,GSH;P<0.05),up-regulated SLC7A11 and FTH1,down-regulated ACSL4(P<0.05),and reduced inflammation(P<0.05).②In cellular models,Fer-1 increased SLC7A11,GPX4,FTH1,GSH,and SOD(P<0.05),declined ROS(P<0.05),and suppressed macrophage inflammatory cytokines(P<0.05).Conclusion Fer-1 alleviates high-altitude hypoxic lung injury by inhibiting ferroptosis in pulmonary epithelial cells and attenuating macrophage-driven inflammation,providing experimental evidence for novel therapeutic strategies.

This paper reviews the published articles of recent years on the application of deep learning methods in automatic localization of acupoint, and summarizes it from 3 key links, i.e. the dataset construction, the neural network model design, and the accuracy evaluation of acupoint localization. The significant progress has been obtained in the field of deep learning for acupoint localization, but the scale of acupoint detection needs to be expanded and the precision, the generalization ability, and the real-time performance of the model be advanced. The future research should focus on the support of standardized datasets, and the integration of 3D modeling and multimodal data fusion, so as to increase the accuracy and strengthen the personalization of acupoint localization.
Deep Learning ; Acupuncture Points ; Humans ; Neural Networks, Computer

Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans ; Chemoradiotherapy/adverse effects* ; Consensus ; Risk Factors ; Stomatitis/etiology*

OBJECTIVE To observe the changes of serum proteins in the mice with carbapenem-resistant hyperviru-lent Klebsiella pneumoniae(CR-hvKP)bloodstream infection by using liquid chromatogram-mass spectrometer(LC-MS),find out the differentially expressed proteins and carry out corresponding biological function analysis.METHODS The models of ICR mice with CR-hvKP and classical Klebsiella pneumoniae(cKP)bloodstream infec-tions were established,the serum specimens were collected from the mice at 12 hours of establishment of the in-fection models and were detected by using LC-MS.The result of LC-MS was identified by using Maxquant soft-ware.The corresponding bioinformatics analysis was performed for the differentially expressed proteins.RESULTS As compared with the normal control group,there were 24 upregulated proteins and 20 downregulated proteins in CR-hvKP group.As compared with cKP group,there were 107 upregulated proteins in the CR-hvKP group.The 134 differentially expressed proteins were retrieved one by one from Uniprot database,it was found that the pro-teins were involved in biological regulation,immune process,biological interaction,movement,metabolic process,response to stimulation,signal transduction,inflammatory response,oxidative stress and angiogenesis.The signal pathway analysis involved multiple metabolism-related pathways,including complement and coagula-tion cascades,cholesterol metabolism,bacterial infection,heme clearance,and assembly,remodeling and clear-ance of plasma lipoprotein.In terms of the proteins being attached great importance,the expression levels of kal-likrein B1(KLKB1)and serpin family A(Serpina)1b were downregulated as compared with the normal control group and were upregulated as compared with the cKP group;the expression levels of serum amyloid A protein(SAA)1,SAA2,Vanin-3(VNN3)and hemoglobinβpolypeptide chain b2(HBB-b2)were upregulated as com-pared with both the cKP group and the normal control group.CONCLUSIONS The CR-hvKP bloodstream infection involves the activation and action of multiple proteins.The rise of SAA1,SAA2,VNN3 and HBB-b2 or the de-cline of KLKB1 and Serpina1b may indicate the CR-hvKP bloodstream infection.

OBJECTIVE To evaluate the effectiveness and safety of warfarin anticoagulation therapy guided by gene test in patients undergoing left ventricular assist device （LVAD） implantation， and to analyze the influencing factors of warfarin anticoagulation efficacy. METHODS Patients who underwent LVAD implantation at the Heart and Vascular Center of Northern Jiangsu People’s Hospital from January 2023 to October 2024 and required warfarin anticoagulant therapy were selected as the study subjects. They were divided into genetic testing group （n＝51） and empirical treatment group （n＝17） based on whether they underwent CYP2C9 and VKORC1 gene test. The gene test group was given warfarin based on the predicted dose calculated by gene test， while the empirical treatment group was given warfarin by clinical doctors based on international normalized ratio （INR） experience， all patients were given warfarin once a day. Follow-up observation was conducted for 6 months to compare the effectiveness [time in therapeutic range（TTR）， the time required to reach INR for the first time， the incidence of embolic events， the incidence of INR＜1.5 events] and safety （the incidence of major and minor bleeding events，the incidence of INR＞3.5 events） of warfarin treatment between two groups of patients. According to whether the patient’s TTR was ≥60%， they were divided into TTR≥60% group （n＝20） and TTR＜60% group （n＝48）. Univariate and multivariate binary Logistic regression analysis were used to determine the factors affecting the anticoagulant effect of warfarin in patients. RESULTS The TTR of patients in the gene test group was significantly higher than that in the empirical treatment group （P＜0.05）. The incidence of INR＜1.5 events in the gene test group was significantly lower than in the empirical treatment group （P＜0.05）. The incidence of minor bleeding events and INR＞3.5 events in the gene test group were lower than in the empirical treatment group， but the difference was not statistically significant （P＞0.05）. The results of multivariate binary Logistic regression analysis showed that gene test was an independent protective factor for warfarin anticoagulant therapy [odds ratio （OR）＝10.842， 95% confidence interval （CI）： 1.211-27.037， P＝0.033]， and the combination of statins was an independent risk factor for warfarin anticoagulant therapy [OR＝0.196， 95%CI： 0.045-0.861， P＝0.031]. CONCLUSIONS Under the guidance of gene test， warfarin anticoagulation therapy for LVAD patients after implantation can improve TTR， shorten the anticoagulation target time， and has good safety； meanwhile， it should be noted that the combination of statins may enhance the anticoagulant effect of warfarin， thereby increasing the risk of bleeding in patients.

OBJECTIVE To observe the changes of serum proteins in the mice with carbapenem-resistant hyperviru-lent Klebsiella pneumoniae(CR-hvKP)bloodstream infection by using liquid chromatogram-mass spectrometer(LC-MS),find out the differentially expressed proteins and carry out corresponding biological function analysis.METHODS The models of ICR mice with CR-hvKP and classical Klebsiella pneumoniae(cKP)bloodstream infec-tions were established,the serum specimens were collected from the mice at 12 hours of establishment of the in-fection models and were detected by using LC-MS.The result of LC-MS was identified by using Maxquant soft-ware.The corresponding bioinformatics analysis was performed for the differentially expressed proteins.RESULTS As compared with the normal control group,there were 24 upregulated proteins and 20 downregulated proteins in CR-hvKP group.As compared with cKP group,there were 107 upregulated proteins in the CR-hvKP group.The 134 differentially expressed proteins were retrieved one by one from Uniprot database,it was found that the pro-teins were involved in biological regulation,immune process,biological interaction,movement,metabolic process,response to stimulation,signal transduction,inflammatory response,oxidative stress and angiogenesis.The signal pathway analysis involved multiple metabolism-related pathways,including complement and coagula-tion cascades,cholesterol metabolism,bacterial infection,heme clearance,and assembly,remodeling and clear-ance of plasma lipoprotein.In terms of the proteins being attached great importance,the expression levels of kal-likrein B1(KLKB1)and serpin family A(Serpina)1b were downregulated as compared with the normal control group and were upregulated as compared with the cKP group;the expression levels of serum amyloid A protein(SAA)1,SAA2,Vanin-3(VNN3)and hemoglobinβpolypeptide chain b2(HBB-b2)were upregulated as com-pared with both the cKP group and the normal control group.CONCLUSIONS The CR-hvKP bloodstream infection involves the activation and action of multiple proteins.The rise of SAA1,SAA2,VNN3 and HBB-b2 or the de-cline of KLKB1 and Serpina1b may indicate the CR-hvKP bloodstream infection.

Cardiac surgery-associated acute kidney injury (CSA-AKI) is a common and serious complication following cardiac surgical procedures. The conventional diagnostic methods relying on serum creatinine and urine output changes often exhibit delayed responsiveness. Therefore, there is an urgent need for highly sensitive and specific biomarkers to detect and identify high-risk patients with CSA-AKI at an early stage, allowing for timely intervention and improved clinical outcomes. In this paper, the relevant biomarkers of CSA-AKI were reviewed in order to provide valuable information for the subsequent research on CSA-AKI.

Objective: To explore the performance of machine learning prediction models in forecasting student absenteeism due to respiratory symptoms caused by air pollution in short term, aiming to provide a methodological reference for early warning systems of school diseases. Methods: Utilizing data from shortterm sequences of student absenteeism due to respiratory symptoms in Jiangsu Province from September 2019 to October 2022, the study integrated average concentrations of atmospheric pollutants. A univariate distributed lag nonlinear model was employed to select optimal lag variables for the pollutants. An extreme gradient boosting(XGBoost) algorithm model was developed to predict the frequency of absenteeism due to respiratory symptoms and compared with the seasonal autoregressive integrated moving average with exogenous factors(SARIMAX) model. Results: Between 2019 and 2022, an average of 9 709 students per day in Jiangsu Province were absent due to respiratory symptoms. The daily average air quality index (AQI) was 76.96,with mass concentrations of PM2.5, PM10, NO2, and O3 averaging at 35.75, 61.13, 28.89, 104.81 μg/m3, respectively. Granger causality tests indicated that AQI, PM2.5, PM10, NO2, and O3 were significant predictors of absenteeism frequency due to respirutory symptoms(F=1.46,1.79,1.67,3.41,2.18,P<0.01). The singleday lag effects of PM2.5, PM10, NO2, and O3 reached their peak relative risk (RR) values at lag4, lag0, lag0, lag4 respectively. When integrating these optimal lag variables for the pollutants, the XGBoost model demonstrated superior predictive performance to the SARIMAX model, reducing the mean absolute error (MAE) from 2.251 to 0.475, mean absolute percentage error (MAPE) from 0.429 to 0.080, and root mean square error (RMSE) from 2.582 to 0.713; at the P75 percentile alert threshold, the sensitivity improved from 0.086 to 0.694 and specificity from 0.979 to 0.988, with the Youden index increasing from 0.065 to 0.682. Conclusions The XGBoost model exhibits robust predictive performance and effective early warning capabilities for shortterm sequences of student absenteeism due to respiratory symptoms caused by air pollution. Schools could timely adopt this model to preemptively detect and control disease outbreaks, thereby enhancing school health management.

Background and objective Invasive mucinous adenocarcinoma(IMA)was a rare and specific type of lung adenocarcinoma,which was often characterized by fewer lymphatic metastases.Therefore,it was difficult to evaluate the prognosis of these tumors based on the existing tumor-node-metastasis(TNM)staging.So,this study aimed to develop Nomo-grams to predict outcomes of patients with pathologic N0 in resected IMA.Methods According to the inclusion criteria and exclusion criteria,IMA patients with pathologic N0 in The Affiliated Lihuili Hospital of Ningbo University(training cohort,n=78)and Ningbo No.2 Hospital(validation cohort,n=66)were reviewed between July 2012 and May 2017.The prognostic value of the clinicopathological features in the training cohort was analyzed and prognostic prediction models were established,and the performances of models were evaluated.Finally,the validation cohort data was put in for external validation.Results Univariate analysis showed that pneumonic type,larger tumor size,mixed mucinous/non-mucinous component,and higher overall stage were significant influence factors of 5-year progression-free survival(PFS)and overall survival(OS).Multivariate analysis further indicated that type of imaging,tumor size,mucinous component were the independent prognostic factors for poor 5-year PFS and OS.Moreover,the 5-year PFS and OS rates were 62.82％and 75.64％,respectively.In subgroups,the sur-vival analysis also showed that the pneumonic type and mixed mucinous/non-mucinous patients had significantly poorer 5-year PFS and OS compared with solitary type and pure mucinous patients,respectively.The C-index of Nomograms with 5-year PFS and OS were 0.815(95％CI:0.741-0.889)and 0.767(95％CI:0.669-0.865).The calibration curve and decision curve analysis(DCA)of both models showed good predictive performances in both cohorts.Conclusion The Nomograms based on clinicopathological characteristics in a certain extent,can be used as an effective prognostic tool for patients with pathologic N0 after IMA resection.