Contemporary Chinese medical ethics culture is a brand-new cultural field gradually formed with the development of Chinese society and the progress of medical science and technology. This type of culture， with its own characteristics， needs to be examined and understood from the perspective of the historical roots and origins of its evolution. The ancient Chinese medical ethics thought has a foundational significance for modern and contemporary medical ethics thought. The thought that “medicine is the art of benevolence” is the core concept of Chinese medical ethics culture， from which the ancient medical moral thoughts and cultural systems were derived. With the introduction of Western medicine and its development in China， the penetration of modern Western medical ethics thought into the moral thought system of traditional Chinese medicine became the beginning of the collision and integration of Chinese and Western medical ethics wisdom. The “spirit of red medicine” formed during the revolutionary process in modern China， reflects the characteristics of medical ethics culture forged in the practice of China’s great revolution. Contemporary Chinese medical ethics culture is gradually blending into the mainstream of Chinese society and has become a constituent element of the socialist culture system with Chinese characteristics.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveTo construct a scale for the diagnosis of chronic atrophic gastritis （CAG） with turbid toxin accumulating in the stomach. MethodsFirst， a research group was established to construct the scale framework. Relevant literature of CAG with syndrome of turbid toxin accumulating in the stomach was searched in CNKI， Wanfang Database （WF）， and VIP Database （CQVIP） from April 1， 2003 to April 1， 2023， and items were preliminarily selected after standardization of terms. Through clinical investigation， the discrete trend method， correlation coefficient method， Cronbach's coefficient method， and factor analysis method were used to screen symptom items， and the frequency method was used to screen signs， tongue coating， and pulse conditions. Three rounds of Delphi expert consultation were conducted to determine the items of the scale. The weight of each item was obtained by the analytic hierarchy process. ResultsA total of 49 articles were included， and 45 items were obtained after primary screening， including 28 symptoms， 2 signs， 10 tongue coatings， and 5 pulse conditions. After clinical investigation， 15 symptoms were retained， and 8 signs and pulse conditions of tongue coating were retained. The positive coefficients of experts in three rounds of Delphi expert consultation were 100%， 96.67%， and 100%， respectively. The expert authority coefficients were 0.86， 0.87， and 0.87， respectively， and the coordination coefficients were 0.18， 0.25， and 0.30. After core group discussion， Delphi method investigation， and AHP weight assignment， the diagnostic scale items of CAG with turbid toxin accumulating in stomach syndrome were finally established， namely， dark red or purplish tongue proper with yellow greasy （or dry） coating （30 points）， epigastric stuffiness and fullness or pain （15 points）， sticky and unsmooth defecation （10 points）， taste disturbance （sticky mouth， fetid breath， bitter taste， 7 points）， heartburn or acid regurgitation （6 points）， dizziness and clouding （5 points）， general heaviness and fatigue （5 points）， slippery， string‑slippery， or slippery‑rapid pulse （5 points）， dysuria （or yellow or deep yellow urine， 4 points）， poor appetite （4 points）， dull complexion （3 points）， sticky， greasy， and fetid secretions （3 points）， and poor sleep （3 points）. ConclusionBased on the establishment， screening， confirmation， and weighting of an item pool， combined with subjective and objective approaches as well as qualitative and quantitative methods， a diagnostic scale for CAG with the syndrome of turbid toxin accumulating in the stomach was successfully constructed.

Atrial fibrillation is the most common type of chronic cardiac arrhythmia. Catheter ablation and left atrial appendage occlusion are effective treatment methods for atrial fibrillation， but these procedures require anesthesia support. However， anesthetic drugs often cause side effects such as nausea， vomiting， involuntary movements， and respiratory depression. This paper presents a case of a successful one-stop procedure for cryoballoon ablation and left atrial appendage occlusion of atrial fibrillation performed entirely under acupuncture anesthesia. Thirty minutes before the procedure， acupuncture needles were inserted perpendicularly at bilateral Neiguan （PC 6）， Lieque （LU 7）， Ximen （PC 4） and （LU 6）. After obtaining the deqi （得气） sensation， an electroacupuncture device was connected， and electroacupuncture anesthesia was used for pain control throughout the procedure. The patient exhibited good tolerance and cooperation， with electroacupuncture anesthesia completely replacing intravenous anesthetics， ensuring the smooth completion of the surgery. Postoperative follow-up showed favorable outcomes.

Objective To investigate the changes in coagulation system in acute decompensated cirrhosis(ADC)patients with or without sepsis and the association of these changes with short-term prognosis.Methods A prospective study was conducted among 116 ADC patients who were hospitalized in Nanfang Hospital from January 2021 to July 2023,among whom there were 86 patients with sepsis and 30 patients without sepsis,and 54 patients with sepsis alone who had no chronic liver disease were enrolled as control group.Thromboelastography(TEG)and other conventional coagulation parameters were used to comprehensively evaluate the coagulation function of patients.The data including TEG results and short-term prognosis were collected,and a correlation analysis was performed.The independent-samples t test was used for comparison of normally distributed continuous data between two groups,and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups;the chi-square test was used for comparison of categorical data between two groups.The Spearman correlation coefficient was calculated to investigate the correlation between different variables.The Logistic regression model was used to perform the univariate and multivariate analyses.Results For the ADC patients with sepsis,the lungs and bloodstream were the main infection sites,and bacteria were the main pathogenic microorganism.TEG results showed that compared with the patients with sepsis alone,the patients with ADC and sepsis had a significant reduction in median maximum amplitude(MA),a significant increase in coagulation time(K time),and a significant reduction in α angle(all P<0.05);the patients with ADC and sepsis had a significantly longer reaction time(R time)than those with ADC alone(P=0.02),and the patients with sepsis alone had a significantly longer R time than those with ADC and sepsis(P=0.04).There was no correlation between MA and platelet count in the patients with ADC and sepsis(r=-0.133,P=0.057),while there was a significant correlation between MA and platelet count in the patients with sepsis alone(r=0.595,P=0.001).SOFA score was negatively correlated with MA in sepsis patients with or without ADC(r=-0.503 and-0.561,both P<0.001),and for the patients with ADC and sepsis,R time,K time,and α angle were weakly correlated with SOFA score and had a relatively strong correlation with APTT(all P<0.05).The patients with ADC alone all survived within 90 days,and compared with the death group,the patients with sepsis alone who survived had significantly higher values of MA and α angle(all P<0.05);there was a significant difference in α angle on day 90 between the survival group and the death group,no matter whether the patients were comorbid with ADC or not(both P<0.01),while for the patients with ADC and sepsis,there was no significant difference in MA value on day 90 between the survival group and the death group(P>0.05).Conclusion For ADC patients comorbid with sepsis,coagulation function assessment and monitoring should be taken seriously in clinical practice,and TEG parameters and SOFA score should be monitored when necessary to develop individualized treatment regimens.

Objective To investigate disparities in health levels among populations across different regions of China and analyze the relationship between these disparities and regional, social, and economic factors, and to provide recommendations to promote health equity. Methods Based on the data from the Seventh National Population Census, this study employed spatial autocorrelation analysis and the spatial Durbin model to conduct spatial and temporal analyses of the health status of the national population from 2012 to 2021, focusing on the regional distribution of health levels and related influencing factors. Results 1. Regional disparities: The mortality rate in Gansu Province rose from 6.05‰ in 2012 to 8.26‰ in 2021, whereas the mortality rate in eastern provinces such as Hainan Province was relatively low in 2021 (5.39‰). 2. Spatial clustering: The spatial correlation of mortality rates was weak (Moran's I: 0.134-0.245), and the high mortality clusters showed a shift from southwest to northeast region. 3. Influencing factors: Economic conditions, education quality, urbanization levels, and healthcare resources significantly impacted population mortality rates. Conclusion The present study identifies pronounced regional disparities in population health, providing a scientific basis for formulating targeted healthcare policies. Additionally, this study highlights the critical importance of spatial analysis in understanding and addressing public health issues to advance health equity.

ObjectiveTo investigate the changes in coagulation system in acute decompensated cirrhosis （ADC） patients with or without sepsis and the association of these changes with short-term prognosis. MethodsA prospective study was conducted among 116 ADC patients who were hospitalized in Nanfang Hospital from January 2021 to July 2023， among whom there were 86 patients with sepsis and 30 patients without sepsis， and 54 patients with sepsis alone who had no chronic liver disease were enrolled as control group. Thromboelastography （TEG） and other conventional coagulation parameters were used to comprehensively evaluate the coagulation function of patients. The data including TEG results and short-term prognosis were collected， and a correlation analysis was performed. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. The Spearman correlation coefficient was calculated to investigate the correlation between different variables. The Logistic regression model was used to perform the univariate and multivariate analyses. ResultsFor the ADC patients with sepsis， the lungs and bloodstream were the main infection sites， and bacteria were the main pathogenic microorganism. TEG results showed that compared with the patients with sepsis alone， the patients with ADC and sepsis had a significant reduction in median maximum amplitude （MA）， a significant increase in coagulation time （K time）， and a significant reduction in α angle （all P<0.05）； the patients with ADC and sepsis had a significantly longer reaction time （R time） than those with ADC alone （P=0.02）， and the patients with sepsis alone had a significantly longer R time than those with ADC and sepsis （P=0.04）. There was no correlation between MA and platelet count in the patients with ADC and sepsis （r=-0.133， P=0.057）， while there was a significant correlation between MA and platelet count in the patients with sepsis alone （r=0.595， P=0.001）. SOFA score was negatively correlated with MA in sepsis patients with or without ADC （r=-0.503 and -0.561， both P<0.001）， and for the patients with ADC and sepsis， R time， K time， and α angle were weakly correlated with SOFA score and had a relatively strong correlation with APTT （all P<0.05）. The patients with ADC alone all survived within 90 days， and compared with the death group， the patients with sepsis alone who survived had significantly higher values of MA and α angle （all P<0.05）； there was a significant difference in α angle on day 90 between the survival group and the death group， no matter whether the patients were comorbid with ADC or not （both P<0.01）， while for the patients with ADC and sepsis， there was no significant difference in MA value on day 90 between the survival group and the death group （P>0.05）. ConclusionFor ADC patients comorbid with sepsis， coagulation function assessment and monitoring should be taken seriously in clinical practice， and TEG parameters and SOFA score should be monitored when necessary to develop individualized treatment regimens.

Objective To analyze risk factors of acute respiratory failure(ARF)in patients with hypertriglyceridemia acute pancreatitis(HTG-AP)and construct a risk prediction model.Methods A total of 222 HTG-AP patients were included in this study and divided into the non-ARF group(176 cases)and the ARF group(46 cases)according to diagnostic guidelines for ARF.Clinical data of the two groups were compared and the predictive factors were screened.These selected factors were then utilized in a multivariate Logistic regression analysis to construct a Logistic regression model.Subsequent evaluation of the model′s predictive ability,accuracy and clinical utility was conducted through ROC,curve analysis,calibration plot examination and decision curve analysis(DCA),respectively.Results Compared with the non-ARF group,the levels of high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL)-C and albumin(ALB)were decreased in the ARF group(P＜0.05),while the levels of creatinine(Cr),urea nitrogen(BUN),aspartate aminotransferase(AST)and C-reactive protein(CRP)were increased,and the incidence of pleural fluid and ascites was also increased(P＜0.05).Multivariate Logistic regression analysis showed that higher levels of Cr and AST,lower levels of ALB,HDL-C and ascites were independent risk factors for HTG-AP complicated ARF(P＜0.05).Based on these results,a column-line prediction model for HTG-AP complicated ARF was established.After internal verification,the area under curve(AUC)of receiver operating characteristic(ROC)curve of the nomogram model was 0.952(95%CI:0.923-0.981),the Youden index was 0.808 and the sensitivity and specificity were 93.33%and 87.43%,respectively.The calibration curve showed that the probability of HTG-AP concurrent ARF predicted by the model was in good agreement with the actual probability.The DCA curve showed that the model had certain clinical value.Conclusion The nomogram prediction model combined could provide a scheme for the clinical prevention of HTG-AP complicated with ARF.

Taking chronic atrophic gastritis （CAG） as an example， the frontier technologies in data science have been introduced into the inheritance， innovation and development of traditional Chinese medicine （TCM）， providing reference for conducting real-world clinical research on specialized diseases of TCM. This paper put forward the construction of CAG data science system by elaborating the connotation of data science and its application value in TCM， and discussed the path to build CAG data science system， namely through "data acquisition-knowledge expression-knowledge reasoning" to establish CAG database， knowledge base and develop diagnosis platform differentiating diseases and syndromes. Besides， this paper analyzed the prospects of CAG data science in improving data governance ability and knowledge discovery efficiency， deepening the level of knowledge sharing， promoting interdisciplinary integration， and strengthening the integration process of industry， academia and research.