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 explore the comorbidity and associated factors of dental caries and overweight/obesity among primary and secondary school students in Guangxi, so as to provide a scientific basis for the development of targeted prevention strategies. Methods: A stratified cluster random sampling method was used to survey 178 700 students from the fourth grade of primary school to the third year of high school in Guangxi Zhuang Autonomous Region from September to November 2023, including physical examination, oral screening, and questionnaire survey. Chisquare tests and binary Logistic regression analysis were employed to investigate the related factors of the cooccurrence of dental caries and overweight/obesity among students. Results: The comorbidity rate of dental caries and overweight/obesity was 9.55%, with urban areas (9.95%) higher than rural counties (9.24%), boys (10.54%) higher than girls (8.54%), primary school students (11.49%) higher than senior high school students (8.92%) and junior high school students (8.05%), and nonboarding students (11.44%) higher than boarding students (7.94%), and all differences were statistically significant (χ2=26.07, 207.91, 471.54, 629.14,P<0.01). Multivariate Logistic regression analysis showed that consuming cereal for breakfast (OR=0.91, 95%CI=0.88-0.94), drinking milk in the past week (OR=0.89, 95%CI=0.83-0.95), meeting sleep standards (OR=0.95, 95%CI=0.91-0.99), and brushing teeth at least once a day (OR=0.82, 95%CI=0.73-0.93) had a lower risk of the comorbidity of dental caries and overweight/obesity. In contrast, drinking beverages in the past week (OR=1.14, 95%CI=1.09-1.20), consuming fried foods in the past week (OR=1.11, 95%CI=1.06-1.17), eating fruit ≥1 time every day (OR=1.06, 95%CI=1.02-1.11), consuming fruit ≥1 type every day (OR=1.07, 95%CI=1.01-1.12), and having fish, poultry, meat, or eggbased breakfasts (OR=1.03, 95%CI=1.05-1.13) had a higher risk of the comorbidity of dental caries and overweight/obesity (P<0.05). Conclusions Dietary habits and lifestyle behaviors are associated with the comorbidity of dental caries and overweight/obesity among primary and secondary school students in Guangxi. Guiding students to form healthy living habits is helpful to preven dental caries and overweight/obesity.

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 observe the effect of Jiangqi Pingxiao Formula on airway inflammation in mice with acute asthma and explore its possible mechanism.METHODS A total of 36 BALB/c mice were randomly divided into normal group,model group,dexamethasone group,low-dose,medium-dose and high-dose groups of Jiangqi Pingxiao Formula,with 6 mice in each group.Except for the normal group,the other groups were given ovalbumin to establish the acute asthma attack mouse model.The normal group and the model group were given distilled water by gavage,and the Jiangqi Pingxiao Formula groups were given Jiangqi Pingxiao Formula by gavage at the corresponding dose,once a day,for 5 consecutive days.Whole Body Plethysmography was used to measure the changes of enhanced respiratory interval(Pehn)of bronchial contraction parameters in mice.HE staining was used to observe the pathological changes of lung tissue in mice.ELISA method was adopted to detect the expression levels of interleukin 1β(IL-1β),interleukin 18(IL-18)and tumor necrosis factor α(TNF-α)in lung tissue homogenate of mice.Immunohistochemistry method was used to detect the expression level of NOD-like receptor pyrin domain-associated protein 3(NLRP3)in lung tissue of mice.Western blot method was employed to detect the expression of NLRP3 inflammasome activation-associated protein κ gene binding nuclear factor-κB(NF-κB),NOD-like receptor pyrin domain-associated protein 3(NLRP3),NIMA-associated kinase 7(NEK7),Caspase 1(Cleaved-Caspase 1)and apoptosis-associated speck-like protein(ASC)in lung tissue of mice.RESULTS Compared with the normal group,the Penh level of mice in the model group was increased(P<0.001),and the pathological results of lung tissue showed that the number of inflammatory cells around the airway increased,the inflammatory score increased(P<0.001),the expression of IL-1β,IL-18,and TNF-α in lung tissue homogenate increased(P<0.001),and the expression of NF-κB,NLRP3,NEK7,Cleaved-Caspase 1,and ASC proteins in lung tissue increased(P<0.05,P<0.01,P<0.001).Compared with the model group,the Penh level of mice in the Jiangqi Pingxiao Formula groups and the dexamethasone group was reduced(P<0.05,P<0.001),the number of inflammatory cells in lung tissue decreased,and the inflammatory score decreased(P<0.001);the expression of IL-1β,IL-18,and TNF-α in lung tissue homogenate decreased(P<0.05,P<0.01,P<0.001);the expression of NF-κB,NLRP3,NEK7,Cleaved-Caspase 1,and ASC pro-teins in lung tissue decreased(P<0.05,P<0.01,P<0.001).CONCLUSION Jiangqi Pingxiao Formula can improve lung function and airway inflammation in asthma model mice,and its mechanism may be related to regulating NLRP3 inflammasome-mediated IL-1β secretion.

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.

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 observe the effect of Jiangqi Pingxiao Formula on airway inflammation in mice with acute asthma and explore its possible mechanism.METHODS A total of 36 BALB/c mice were randomly divided into normal group,model group,dexamethasone group,low-dose,medium-dose and high-dose groups of Jiangqi Pingxiao Formula,with 6 mice in each group.Except for the normal group,the other groups were given ovalbumin to establish the acute asthma attack mouse model.The normal group and the model group were given distilled water by gavage,and the Jiangqi Pingxiao Formula groups were given Jiangqi Pingxiao Formula by gavage at the corresponding dose,once a day,for 5 consecutive days.Whole Body Plethysmography was used to measure the changes of enhanced respiratory interval(Pehn)of bronchial contraction parameters in mice.HE staining was used to observe the pathological changes of lung tissue in mice.ELISA method was adopted to detect the expression levels of interleukin 1β(IL-1β),interleukin 18(IL-18)and tumor necrosis factor α(TNF-α)in lung tissue homogenate of mice.Immunohistochemistry method was used to detect the expression level of NOD-like receptor pyrin domain-associated protein 3(NLRP3)in lung tissue of mice.Western blot method was employed to detect the expression of NLRP3 inflammasome activation-associated protein κ gene binding nuclear factor-κB(NF-κB),NOD-like receptor pyrin domain-associated protein 3(NLRP3),NIMA-associated kinase 7(NEK7),Caspase 1(Cleaved-Caspase 1)and apoptosis-associated speck-like protein(ASC)in lung tissue of mice.RESULTS Compared with the normal group,the Penh level of mice in the model group was increased(P<0.001),and the pathological results of lung tissue showed that the number of inflammatory cells around the airway increased,the inflammatory score increased(P<0.001),the expression of IL-1β,IL-18,and TNF-α in lung tissue homogenate increased(P<0.001),and the expression of NF-κB,NLRP3,NEK7,Cleaved-Caspase 1,and ASC proteins in lung tissue increased(P<0.05,P<0.01,P<0.001).Compared with the model group,the Penh level of mice in the Jiangqi Pingxiao Formula groups and the dexamethasone group was reduced(P<0.05,P<0.001),the number of inflammatory cells in lung tissue decreased,and the inflammatory score decreased(P<0.001);the expression of IL-1β,IL-18,and TNF-α in lung tissue homogenate decreased(P<0.05,P<0.01,P<0.001);the expression of NF-κB,NLRP3,NEK7,Cleaved-Caspase 1,and ASC pro-teins in lung tissue decreased(P<0.05,P<0.01,P<0.001).CONCLUSION Jiangqi Pingxiao Formula can improve lung function and airway inflammation in asthma model mice,and its mechanism may be related to regulating NLRP3 inflammasome-mediated IL-1β secretion.

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.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

ObjectiveTo understand the use of antibiotics in inpatients and the incidence and trend of hospital infections， to explore the implementation effect of comprehensive management measures， and to provide reference for hospitals to use antibiotics reasonably. MethodsBased on the hospital infection monitoring and management system， a retrospective analysis and comparison were conducted on the use of antibiotics， submission of microbial test samples， and incidence of hospital infections among inpatients in a tertiary hospital from 2012 to 2021. ResultsFrom 2012 to 2021， the use of antibiotics showed a downward trend， from 50.82% in 2012 to 41.29% in 2021. At the same time， the use rate of restricted and special antibiotics had also decreased， and the use rate of restricted and special antibiotics in patients without hospital infection was significantly lower than that in patients with hospital infection， and the microbial testing rate was also on the rise. The annual incidence rate of hospital infection was 0.69%‒1.92%， and the annual case-time prevalence rate was 0.79%‒2.17%. The annual average rate of the above two in 10 years was 1.18% and 1.34%， respectively. The results of the exponential smoothing model also showed that the utilization rate of antibiotics was decreasing and the incidence of nosocomial infection was stable. ConclusionLarge general hospitals took comprehensive management measures to strengthen the management of rational use of antibiotics， which led to a decline in the use rate of antibacterial drugs for inpatients and an increase in the rate of microbial examination. At the same time， the overall incidence of hospital infection was relatively stable， suggesting that the comprehensive management measures of antibacterial drugs in hospitals had achieved certain results. The current measures need to be optimized in the future to continuously improve the management level of rational use of antibacterial drugs.