"Sinew prescription correspondence" is the principle of selecting prescriptions for channel sinew diseases. On the basis of the theory of syndrome differentiation and treatment， the pulse manifestation corresponds to the channel sinew syndrome， which can improve the flexibility and standardization of clinical prescriptions. From the perspective of systematic dialectical sphygmology， this paper explains the dialectical relationship between channel sinew theory and pulse body elements， pulse wall elements， pulse elements and blood flow elements， and clarifies the internal relationship between pulse manifestation and prescriptions at the level of channel sinew disease. The prescription is derived from the method， while the method is established with the syndrome， and the prescription is unified by the method. According to the theory of "sinew prescription correspondence"， the treatment ideas of channel sinew diseases were analyzed from the perspective of channel sinew distribution， functional characteristics and structural changes. On this basis， the diagnosis of channel sinew disease and the application of prescriptions are expanded， and the research on the internal treatment and diagnosis mode of "pulse manifestation-channel sinew-zang fu （脏腑）" is prospected， so as to expand the differentiation and treatment methods of channel sinew theory.

Background: and Purpose Vertebrobasilar fusiform aneurysms (VBFAs) carry substantial morbidity and mortality, but optimal management for unruptured VBFAs remains unclear. We compared the safety and efficacy of conservative management (CM), stent-assisted coiling (SAC), and flow diverters (FDs) in patients with unruptured VBFAs, focusing on long-term prognosis. Methods: This study included data from a nationwide Chinese cohort of patients with vertebrobasilar dissecting aneurysms. Inverse probability of treatment weighting (IPTW) balanced confounders across groups. The primary outcome was poor prognosis (modified Rankin Scale score >2). Secondary outcomes included aneurysm rupture, ischemic stroke, compression symptoms, and VBFA-related deaths. Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup and sensitivity analyses were performed. Results: Among 1,115 patients with unruptured VBFAs, 838 (median age, 54 years; 655 men) were included. After IPTW, baseline characteristics were balanced. Median follow-up was 54 months. FD was associated with a lower risk of poor prognosis than CM (OR, 0.48 [95% CI, 0.30 to 0.77]; p=0.002), with no difference between CM and SAC. FD also reduced aneurysm rupture (OR, 0.20 [95% CI, 0.07 to 0.60]; p=0.004) and compression symptoms (OR, 0.30 [95% CI, 0.13 to 0.68]; p=0.004) versus CM. Time-to-event analyses further revealed significant differences in vertebral artery lesions and Type I–II VBFAs, whereas no significant differences were observed in basilar or vertebrobasilar junction lesions or in Type III–IV VBFAs. Conclusions Compared with CM, FD was associated with improved long-term outcomes in unruptured VBFAs, particularly in vertebral artery lesions and Type I–II VBFAs, although residual confounding cannot be excluded.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

Objective:To identify risk factors for mortality in patients with cirrhosis and portal hypertension compli-cated by esophagogastric variceal bleeding(EVB)after transjugular intrahepatic portosystemic shunt(TIPS),and to estab-lish a prediction model.Methods:Clinical data of 80 patients who underwent TIPS from March 2022 to March 2024 were retrospectively analyzed.Based on 28-day outcomes,patients were divided into survival(n=65)and death(n=15)groups.Univariate and multivariate logistic regression analyses were used to determine independent predictors,and the model's calibration and discrimination were assessed by the Hosmer-Lemeshow test and ROC curve.Results:Inde-pendent risk factors for death included Child-pugh score(OR=2.653),MELD score(OR=1.924),bleeding volume(OR=1.754),portal vein thrombosis(OR=3.247),and hepatic encephalopathy(OR=2.834).The model demonstrated good cali-bration(Hosmer-Lemeshow χ2=7.142,P=0.521)and discrimination,with an AUC of 0.873(95%CI:0.773-0.939),sensi-tivity of 83.3%,and specificity of 87.7%.Conclusion:Child-pugh score,MELD score,bleeding volume,portal vein thrombosis,and hepatic encephalopathy are independent predictors of post-TIPS mortality in cirrhotic patients with EVB.Emergency TIPS carries higher mortality risk than elective TIPS.The proposed model shows strong predictive perfor-mance and may aid in individualized prognosis assessment and therapeutic decision-making.

Objective:To translate the Maastricht Clinical Teaching Questionnaire (MCTQ) into Chinese and evaluate its reliability and validity in standardized training of residents.Methods:The Chinese version of MCTQ was obtained according to the Brislin translation model, including translation, back-translation, and cross-cultural debugging. A convenient sampling survey was carried out among the trainees in the First Affiliated Hospital of Shandong First Medical University in June 2022 by using an online survey tool. A total of 562 valid questionnaires were collected. Data from valid survey questionnaires were subjected to item analysis (critical ratio method), reliability analysis (Cronbach's alpha coefficient and composite reliability), structural validity analysis (exploratory factor analysis and confirmatory factor analysis), and discriminant validity analysis using SPSS 25.0 and AMOS 24.0 software.Results:The Chinese version of MCTQ scale consisted of 24 items, which was consistent with the original scale. Four common factors were extracted with a cumulative variance contribution of 79.96%. The four-factor model demonstrated high goodness of fit. The χ2/d f, RMR, RMSEA, GFI, AGFI, NFI, and CFI were 3.491, 0.008, 0.067, 0.886, 0.861, 0.947, and 0.962, respectively. Both Cronbach's α and composite reliability exceeded 0.7, indicating high internal consistency and reliability. The correlation coefficients between the four factors ranged from 0.265 to 0.307, all of which were smaller than the corresponding square roots of average variance extracted, demonstrating high structural and discriminant validity. Conclusions:The Chinese version of MCTQ is valid and reliable in the Chinese context and can serve as a useful tool to evaluate the performance of clinical teachers during standardized residency training.

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.

Previous studies have shown that the diversity and composition of intestinal microbiota are related to the effect of tumor immunotherapy,but the mechanism of intestinal microbiota affecting tumor immunotherapy resistance has rarely been sum-marized.This article not only expounds the current clinical sta-tus of tumor immunotherapy resistance,but also summarizes the correlation and regulatory mechanism between the composition and homeostasis of intestinal microbiota and drug resistance to different types of tumor immunotherapy,so as to provide a refer-ence for the study of potential targets for improving tumor immu-notherapy resistance based on intestinal microbiota.

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.

Previous studies have shown that the diversity and composition of intestinal microbiota are related to the effect of tumor immunotherapy,but the mechanism of intestinal microbiota affecting tumor immunotherapy resistance has rarely been sum-marized.This article not only expounds the current clinical sta-tus of tumor immunotherapy resistance,but also summarizes the correlation and regulatory mechanism between the composition and homeostasis of intestinal microbiota and drug resistance to different types of tumor immunotherapy,so as to provide a refer-ence for the study of potential targets for improving tumor immu-notherapy resistance based on intestinal microbiota.

Aim To investigate the mechanism of in-testinal mucosal barrier protective effect of Qingjie Huagong decoction(QJHGD)on rats with severe acute pancreatitis(SAP).Methods The SAP rat model was constructed,and the sham-operation group,the model group,the group administered with different dosages of QJHGD,and the positive control group were set up respectively.HE staining was used to observe the histopathological changes.ELISA was employed to detect the serum levels of diamine oxidase(DAO)and D-lactic acid(D-LA)in rats.Transmission electron microscopy was utilized to observe the mitochondria of ileal tissues.qRT-PCR and Western blot were applied to detect the mRNA and protein expression of PGAM5,Drp1,PINK1,Parkin,LC3B in ileal tissues of rats.Results Compared with the sham-operated group,the pancreas and ileum tissues of rats in the model group showed obvious pathological changes,with abnormal mitochondrial structure and reduced number of autoph-agic vesicles in the ileum tissues.The levels of DAO and D-LA in serum increased(P＜0.01),and the mRNA and protein expression of PGAM 5,Drp 1,PINK1,Parkin,and LC3B in the ileum tissues de-creased significantly.Compared with the model group,pancreatic and ileal pathology were improved,mito-chondrial damage in the ileum was reduced,and the number of autophagic vesicles increased in the QJHGD group.The serum levels of DAO and D-LA were re-duced,and the expression of PGAM5,Drp1,PINK1,Parkin,and LC3B mRNA and protein in the ileal tis-sues increased significantly.Conclusions QJHGD may exert a protective effect on the SAP intestinal mu-cosal barrier by regulating the PGAM5/Drp1/PINK1/Parkin axis in order to elevate the level of mitochondri-al autophagy in the intestinal epithelial cells,thereby improving the level of repair of the intestinal epithelial cells.