ObjectiveTo investigate the optimal termination time for acupuncture in treating patients with acute peripheral facial paralysis and its cost-effectiveness. MethodsA total of 120 eligible patients with acute-stage peri-pheral facial paralysis were randomly assigned to either the mild dysfunction termination group and the complete recovery termination group， with 60 patients in each group. Both groups received the standard acupuncture treatment protocol. Treatment in the mild dysfunction termination group was terminated when the Sunnybrook facial grade scale （SFGS） score first reached or exceeded 83 points， while that in the complete recovery termination group was terminated when the SFGS score first reached or exceeded 95 points. Assessments were conducted before treatment， 6 and 12 months after onset. SFGS， facial disability index （FDI） including physical function （FDIp） and social function （FDIs）， self-rating anxiety scale （SAS）， and self-rating depression scale （SDS） scores were assessed before treatment， and 6 and 12 months after onset. Any acupuncture-related adverse events during treatment were recorded for safety evaluation. Treatment sessions and medical costs including direct costs， indirect costs， insurance coverage， total societal costs， and patient out-of-pocket expenses were also recorded， and an economic evaluation was conducted including cost-effectiveness ratio （CER） and incremental cost-effectiveness ratio （ICER）. ResultsUltimately， 56 patients in the mild dysfunction termination group and 55 in the complete recovery termination group completed the follow-up. At 6 and 12 months after onset， SFGS and FDIp scores in both groups improved significantly while FDIs， SAS and SDS scores decreased （P＜0.05）. Comparison of scores between groups 6 months and 12 months after onset showed no statistically significant differences （P＞0.05）. During the trial， the incidence of adverse events was 13.3% （8/60） in the mild dysfunction termination group and 18.3% （11/60） in the complete recovery termination group， with no statistically significant difference （P＞0.05）. The number of treatment sessions， total social costs， and out-of-pocket expenses in the mild dysfunction termination group were significantly lower than those in the complete recovery termination group （P＜0.05）. The CER of the mild dysfunction termination group in SFGS， FDIp， FDIs， SAS， and SDS scores was lower than that of the complete recovery termination group. The ICER analysis showed that continuing treatment until full recovery incurred an additional cost of 573.30 CNY/point in SFGS improvement， whereas 1-point improvement in FDIp， FDIs， SAS， and SDS required 21,355.25 CNY， 1779.60 CNY， 3713.96 CNY， and 2755.52 CNY， respectively. ConclusionFor acupuncture in treating acute peripheral facial palsy， terminating treatment when mild dysfunction is achieved yields long-term efficacy comparable to that of continuing treatment until complete recovery， while significantly reducing medical costs and socioeconomic burden.

Objective To determine the rules of acupoint selection for hiccup based on data mining.Methods From the acupuncture and moxibustion sections of 53 medical books included in the 5th edition of Chinese Medical Classics,entries related to acupuncture treatment for hiccups was screened and constructed a"Classical Chinese Medicine Database for Acupuncture Treatment of Hiccups."Data mining techniques,including cluster analysis and association rule analysis,were employed to study the characteristics and patterns of acupoint selection for hiccup treatment in ancient medical texts.Results A total of 126 prescriptions were collected,involving 65 acupoints with a total application frequency of 172 times.The most frequently selected acupoints were Taiyuan(LU9),Shaoshang(LU11),Shiguan(KI18),Wenliu(LI7),Laogong(PC8),and Zusanli(ST36).The primary meridians used were the conception vessel(CV1)and the lung meridian of hand-taiyin.The most commonly stimulated body regions were the upper limbs and the chest/abdomen.Among special acupoint categories,the five-shu points and crossing points were predominantly utilized.Cluster analysis identified two significant clusters:Daling(PC7)-Ximen(PC4)-Yuji(LU10),and Qimen(LR14)-Chengjiang(CV24)-Dadun(LR1)-Guanyuan(CV4)-Juque(CV14).Association rule analysis revealed the strongest acupoint correlation between Danzhong(CV17)and Zhongwan(CV12),followed by the combination of Danzhong-Zhongwan-Zusanli.Conclusion In ancient acupuncture treatment of hiccups,particular emphasis was placed on the flexible combination of Taiyuan-Shaoshang and Danzhong-Zhongwan with other acupoints.This approach fully embodies the meridian syndrome differentiation principle of"where the meridian passes,it can treat"and"where the disease locates,it can treat."The selection follows the acupoint pairing principles of"combining distal and local points"and"coordinating upper and lower regions",while also emphasizing the application of specific acupoint categories.

Objective To analyze the differences in clinical indicators between malignant insulinoma and benign in-sulinoma,in order to provide diagnostic and therapeutic insights for the early detection and diagnosis of malignant insulinoma.Methods A retrospective analysis was conducted in patients diagnosed and treated for insulinoma at Peking Union Medical College Hospital from January 2018 to June 2022.Among them,10 cases were diagnosed as malignant insulinoma.Twenty cases of benign insulinoma patients matched for age,sex,and body mass index(BMI),were randomly selected.Statistical analysis was performed to compare the differences between malignant and benign insulinomas.Results 1)Compared to benign insulinoma,malignant insulinoma showed significantly ele-vated C-peptide(CP)and C-peptide to glucose ratio(CPGlu)during hypoglycemia(blood glucose＜3.0 mmol/L)[6.04(3.40,6.76)vs 1.68(1.39,2.47)ng/mL,P＜0.05),2.25(1.12,3.58)vs 0.74(0.54,1.54),P＜0.05].The tumor diameter(DIA)was larger(1.9±0.6 vs 1.4±0.3 cm,P＜0.05),and the insulin level at 300 minutes(INS300)during the 5-hour oral glucose tolerance test(5 h OGTT)was significantly elevated(30.47±5.67 vs 9.67±3.32)μIU/mL,P＜0.01).Levels of blood tumor markers AFP,CEA,and CA724 were also increased(P＜0.05).2)Correlation analysis indicated that CP,CPGlu,DIA,INS300,AFP,CEA,and CA724 were positively correlated with malignant insulinoma during hypoglycemia.3)The ROC curve analysis suggested that the optimal cut-off points for distinguishing malignant from benign insulinomas were CP 2.49 ng/mL,CPGlu 1.31,DIA 1.85 cm,and INS300 20.22 μIU/mL,respectively.Conclusions In clinical practice,if an insulinoma patient has a CP level higher than 2.49 ng/mL and a tumor diameter larger than 1.9 cm during hypoglycemia,the possibility of malignant insulinoma should be considered,warranting further examinations and enhanced follow-up.Persistent elevation of AFP,CEA,and CA724 may indicate malignant insulinoma.

Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.

Objective:To explore the expression of chemokine ligand 1(CCL1)in oral squamous cell carcinoma(OSCC)and its effect on the proliferation,migration and invasion of human oral tongue squamous cell carcinoma cells(HSC-4).Methods:28 OSCC tissue samples and clinical characteristic data of patients were collected at the Affiliated Stomatological Hospital of Southwest Medical University between January 2018 and June 2020,as well as 10 normal gingival tissue samples removed during the extraction of impacted teeth.OSCC cells HSC-4 were cultured routinely and divided into the control group(without virus),the NC group(transfected with control lentiviral vector),the shCCL1 group(transfected with knockdown CCL1 lentiviral vector),and the CCL1 group(culture medium containing 60 ng/mL CCL1 recombinant protein).Immunohistochemistry and WB were used to detect the expression of CCL1 in OSCC tissues and cells,and analyze the correlation between its expression level and the clinical features of patients.qPCR,CCK-8 assay,plate cloning assay,cell scratch test,Transwell assay and flow cytometry were used to detect the expression of CCL1 mRNA,the proliferation,migration and invasion abilities and the apoptosis of HSC-4 cells respectively.Results:CCL1 protein was highly expressed in OSCC tissues and HSC-4 cells(all P<0.01)and its expression was related to the clinical stage of tumors(P<0.05).The expression of CCL1 in HSC-4 cells was successfully knocked down(P<0.000 5).Knocking down the expression of CCL1 could inhibit the proliferation(P<0.05 or P<0.01),migration and invasion(all P<0.05)of HSC-4 cells,and promote its apoptosis(all P<0.05).CCL1 recombinant protein treatment resulted in the opposite effects(P<0.05,P<0.01,P<0.000 1).Conclusion:CCL1 is highly expressed in OSCC and its expression is correlated with the clinical stage of OSCC.CCL1 may take part in regulating the proliferation,migration,invasion and apoptosis of HSC-4 cells.

Galectin-9 (Gal-9), a member of the β-galactoside-binding lectin family, is widely expressed in various tissues and cells. It can specifically bind to multiple glycoprotein receptors, including the receptors of Tim-3, CD44, 4-1BB/CD137, and Dectin-1, thereby regulating the activity of immune cells and participating in crucial physiological and pathological processes such as immune regulation and tumor development. Given its role in immunomodulation, Gal-9 is considered a potential target for immunotherapy, showing promising prospects in the treatment of various diseases, including autoimmune disorders, transplantation rejection, pregnancy complications, inflammation, infection, and cancer. This review summarizes the biological effects mediated by Gal-9 upon binding to its receptors, which may help to explore the potential application value of Gal-9 in clinical diagnosis and therapy.

Thoracic anesthesia with spontaneous respiration represents a form of precision anesthesia meticulously customized to individual patients.Considering the more stringent requirements this anesthesia approach imposes on the regulation of respiratory function,the writing group of the"Consensus of Experts on the Management of Thoracic Anesthesia with Spontaneous Respiration"has formulated elaborate guidelines regarding indications and contraindications,preoperative evaluation,anesthesia implementation,common complications,and treatment strategies.This was accomplished by referencing relevant domestic and international literature and integrating it with actual clinical requirements.The objective is to standardize the rational application of this anesthesia method.

Due to its synergistic effects and reduced side effects, combination therapy has become an important strategy for treating complex diseases. In traditional Chinese medicine (TCM), the "monarch, minister, assistant, envoy" compatibilities theory provides a systematic framework for drug compatibility and has guided the formation of a large number of classic formulas. However, due to the complex compositions and diverse mechanisms of action of TCM, it is difficult to comprehensively reveal its potential synergistic patterns using traditional methods. Synergistic prediction based on molecular compatibility theory provides new ideas for identifying combinations of active compounds in TCM. Compared to resource-intensive traditional experimental methods, artificial intelligence possesses the ability to mine synergistic patterns from multi-omics and structural data, providing an efficient means for modeling and optimizing TCM combinations. This paper systematically reviews the application progress of AI in the synergistic prediction of TCM active compounds and explores the challenges and prospects of its application in modeling combination relationships, thereby contributing to the modernization of TCM theory and methodological innovation.
Artificial Intelligence ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Drug Synergism

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

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