Objective:To explore the application value of machine learning prediction model for neural invasion in gallbladder cancer based on enhanced computed tomography (CT) and clinical characteristics.Methods:The retrospective cohort study was conducted. The clinical and imaging data of 502 patients with gallbladder cancer who were admitted to The First Affiliated Hospital of Xinxiang Medical University from January 2010 to June 2024 were collected. There were 171 males and 331 females, aged 65(range, 35?91)years. All patients underwent preoperative abdominal enhanced CT and radical resection. The 502 patients were randomly divided into a training set of 351 cases and a test set of 151 cases at a 7:3 ratio. The training set was used to construct prediction model, and the test set was used to validate prediction model. Observation indicators: (1)neural invasion in gallbladder cancer and influencing factor analysis; (2) construction and validation of machine learning prediction models for neural invasion in gallbladder cancer. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the Mann-Whitney U test. Logistic regression model was performed for univariate and multivariate analyses. Independent influencing factors were incor-porated to construct machine learning models using the standard library modules based on Python 3.9. Receiver operating characteristic (ROC) curves were plotted, and the accuracy, sensitivity, specificity, area under the curve (AUC), precision, F1 score, positive predictive value, negative predic-tive value, and Kappa value were calculated to evaluate the predictive performance of the models. The Delong test was used to assess the differences in AUC among different models in the test set. The Hosmer-Lemeshow test and Brier score were used to evaluate the calibration of the models. Results:(1) Neural invasion in gallbladder cancer and influencing factor analysis. Of the 502 patients with gallbladder cancer, 131 cases had neural invasion, and 371 cases had no neural invasion. Results of multivariate analysis showed that total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-lymphocyte ratio, liver invasion detected by CT, vascular invasion detected by CT, hilar or retroperi-toneal lymph node metastasis detected by CT, and tumor stages T3 and T4 were independent influencing factors for neural invasion in patients with gallbladder cancer [ odds ratios=3.747, 2.395, 3.917, 3.596, 2.805, 2.377, 3.523, 2.774, 5.080, 6.809, 95% confidence interval ( CI) as 1.890?7.430, 1.154?4.971, 2.054?7.472, 1.807?7.155, 1.506?5.225, 1.241?4.553, 1.666?7.449, 1.483?5.189, 2.050?12.589, 2.552?18.168, P<0.05]. (2) Construction and validation of machine learning predic-tion models for neural invasion in gallbladder cancer. Based on the independent influencing factors, seven machine learning models were constructed, including logistic regression, K-nearest neighbors, support vector machine, random forest, decision tree, back-propagation neural network, and gradient boosting machine. The ROC curves of seven machine learning models in the test set were plotted, and the AUC were 0.900(95% CI as 0.851?0.948), 0.741(95% CI as 0.646?0.829), 0.836(95% CI as 0.762?0.895), 0.782(95% CI as 0.701?0.855), 0.839(95% CI as 0.770?0.901), 0.817(95% CI as 0.738?0.887), 0.843(95% CI as 0.770?0.909), respectively. Results of Delong test showed that the logistic regression model had the highest AUC. The sensitivity and specificity of the logistic regression model were 0.868 and 0.805 respectively, indicating the best balance. Results of Hosmer-Lemeshow test showed that the logistic regression model had a good goodness-of-fit ( χ2=5.320, P>0.05). The Brier score of the logistic regression model was relatively low, as 0.168, which verified its calibration advantage. Conclusion:Total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-to-lymphocyte ratio, liver invasion detected by enhanced CT, vascular invasion detected by enhanced CT, hilar or retroperitoneal lymph node metastasis detected by enhanced CT, and tumor stages T3 and T4 are independent influencing factors for nerve invasion in patients with gallbladder cancer. Seven machine learning models are constructed based on enhanced CT and clinical characteristics to predict neural invasion in gallbladder cancer, of which the logistic regression model demonstrates good predictive performance.

Under the current situation of "low prevalence and low infection" of schistosomiasis in China, and to provide a basis for achieving the goal of eliminating schistosomiasis by 2030 proposed by the Healthy China Action (2019 - 2030) as scheduled, the Hunan Provincial Corps Hospital of the Chinese People's Armed Police Force established a schistosomiasis monitoring and early warning index system based on the previous studies on schistosomiasis early warning index system and the recent literature analysis, combined with the current potential risk factors affecting the transmission and prevalence of schistosomiasis, and organized two rounds of expert consultation and carried out project promotion meetings. The experts reached a consensus on the comprehensiveness and practicability of the index system, aiming to lay a solid foundation for construction of China's schistosomiasis prevention and control early warning system.

Under the current situation of "low prevalence and low infection" of schistosomiasis in China, and to provide a basis for achieving the goal of eliminating schistosomiasis by 2030 proposed by the Healthy China Action (2019 - 2030) as scheduled, the Hunan Provincial Corps Hospital of the Chinese People's Armed Police Force established a schistosomiasis monitoring and early warning index system based on the previous studies on schistosomiasis early warning index system and the recent literature analysis, combined with the current potential risk factors affecting the transmission and prevalence of schistosomiasis, and organized two rounds of expert consultation and carried out project promotion meetings. The experts reached a consensus on the comprehensiveness and practicability of the index system, aiming to lay a solid foundation for construction of China's schistosomiasis prevention and control early warning system.

Objective:To analyze the association of sedentary time and physical activity with the risk of developing chronic obstructive pulmonary disease (COPD) in non-smoking women aged 40 years and above in Songjiang District, Shanghai.Methods:Based on a natural population-based cohort in Songjiang, a total of 18 707 non-smoking women who were aged 40 years and above and without COPD at baseline survey were enrolled in the study. Cox proportional risk regression model was used to analyze the associations of the duration of sedentary behavior, physical activity with the risk for COPD at baseline survey, and the hazard ratio ( HR) of risk for COPD and its 95% CI were calculated. Stratified analyses were performed based on age, BMI, history of respiratory diseases and so on. Sensitivity analyses were conducted by excluding the cases diagnosed with COPD within one year after the baseline survey. Results:As of March 31, 2024, a total of 691 new COPD cases had been recorded after a median follow-up time of 6.96 years with an incidence density of 53.22 per 10 000 person-years. After adjusting for relevant confounders, in the tertile subgroups of sedentary time, the risk for COPD reduced by 17% in the short sedentary time group compared with the long sedentary time group ( HR=0.83,95% CI:0.70-0.99). Compared with the low physical activity level and long sedentary time group, the risk for COPD reduced by 24% in the high physical activity level and short sedentary time group ( HR=0.76, 95% CI: 0.61-0.95) and by 23% in the low physical activity level and short sedentary time group ( HR=0.77, 95% CI: 0.60-0.97). Compared with the non-physical exercise and long sedentary time group, the risk for COPD reduced by 28% in the non-physical exercise and short sedentary time group ( HR=0.72, 95% CI: 0.60-0.87). These associations remained when the cases diagnosed with COPD within one year of the baseline survey were excluded. Conclusions:Increasing physical activity and reducing sedentary time have beneficial effects to prevent COPD in non-smoking women, and reducing sedentary time alone may also reduce the risk for COPD if increasing physical exercise or other physical activity is not possible.

Objective:To analyze the association of sedentary time and physical activity with the risk of developing chronic obstructive pulmonary disease (COPD) in non-smoking women aged 40 years and above in Songjiang District, Shanghai.Methods:Based on a natural population-based cohort in Songjiang, a total of 18 707 non-smoking women who were aged 40 years and above and without COPD at baseline survey were enrolled in the study. Cox proportional risk regression model was used to analyze the associations of the duration of sedentary behavior, physical activity with the risk for COPD at baseline survey, and the hazard ratio ( HR) of risk for COPD and its 95% CI were calculated. Stratified analyses were performed based on age, BMI, history of respiratory diseases and so on. Sensitivity analyses were conducted by excluding the cases diagnosed with COPD within one year after the baseline survey. Results:As of March 31, 2024, a total of 691 new COPD cases had been recorded after a median follow-up time of 6.96 years with an incidence density of 53.22 per 10 000 person-years. After adjusting for relevant confounders, in the tertile subgroups of sedentary time, the risk for COPD reduced by 17% in the short sedentary time group compared with the long sedentary time group ( HR=0.83,95% CI:0.70-0.99). Compared with the low physical activity level and long sedentary time group, the risk for COPD reduced by 24% in the high physical activity level and short sedentary time group ( HR=0.76, 95% CI: 0.61-0.95) and by 23% in the low physical activity level and short sedentary time group ( HR=0.77, 95% CI: 0.60-0.97). Compared with the non-physical exercise and long sedentary time group, the risk for COPD reduced by 28% in the non-physical exercise and short sedentary time group ( HR=0.72, 95% CI: 0.60-0.87). These associations remained when the cases diagnosed with COPD within one year of the baseline survey were excluded. Conclusions:Increasing physical activity and reducing sedentary time have beneficial effects to prevent COPD in non-smoking women, and reducing sedentary time alone may also reduce the risk for COPD if increasing physical exercise or other physical activity is not possible.

[Objective]To explore the origin and evolution of the unnamed prescriptions in Handbook of Prescriptions for Emergency in order to clarify the development context of the unnamed prescriptions in this book and provide some ideas for exploring the origins of other unnamed prescriptions in medical formulary.[Methods]By using methods of cataloging,bibliology and historical research,this article briefly describes the version of the Handbook of Prescriptions for Emergency and its unnamed prescriptions.Besides,it compares and analyzes the unnamed prescriptions in the Handbook of Prescriptions for Emergency with those in related medical books to investigate the origin and evolution of the unnamed prescriptions in this book.[Results]Apart from the accompanying prescriptions,Handbook of Prescriptions for Emergency contains a total of 1 130 unnamed prescriptions.There are 14 unnamed prescriptions in Handbook of Prescriptions for Emergency that can be traced back to the medical prescriptions on the wooden slips unearthed in Liye and Zhoujiatai,and the Formulas for Fifty-two Diseases written on silk from the Mawangdui Han Tomb,were particularly closely related to the latter formulas.Besides,there are 22 unnamed prescriptions in Handbook of Prescriptions for Emergency derived from Treatise on Febrile Diseases and Synopsis of the Golden Chamber.Although there are 26 unnamed prescriptions for treating sudden death and poisoning caused by drugs and food,which are similar to the content of"miscellaneous treatment prescriptions""taboos for poultry,animals,fish,insects"and"taboos for fruits,vegetables and grains"in the current edition of Synopsis of the Golden Chamber,they are suspected to be written by GE Hong and were confused by Song officials and added to Synopsis of the Golden Chamber.In addition,there are 255 unnamed prescriptions in Handbook of Prescriptions for Emergency that gradually evolved into named prescriptions in later generations,were mainly recorded in five books including Important Formulas Worth a Thousand Gold Pieces for Emergency,Arcane Essentials from the Imperial Library,Taiping Royal Prescriptions,Comprehensive Recording of Divine Assistance and Formulas for Universal Relief.Finally,it is speculated that Huanglian Jiedu Decoction in Cuishi Fang and Xiaodingzhi Pill in Sanyin Jiyi Bingzheng Fanglun are all originated from unnamed prescriptions in Handbook of Prescriptions for Emergency.[Conclusion]The emergence of prescriptions is not static,which has gone through a process from simple to complex,from unnamed prescriptions to named prescriptions.Taking the famous prescription book Handbook of Prescriptions for Emergency from the Jin Dynasty as an example,the unnamed prescriptions recorded in the book can be dated back to the medical records inscribed wooden slips of the Qin and Han Dynasties,and have inspired later famous prescriptions,revealing to some extent the laws of the origin and evolution of prescriptions.

Objective:To explore the application value of machine learning prediction model for neural invasion in gallbladder cancer based on enhanced computed tomography (CT) and clinical characteristics.Methods:The retrospective cohort study was conducted. The clinical and imaging data of 502 patients with gallbladder cancer who were admitted to The First Affiliated Hospital of Xinxiang Medical University from January 2010 to June 2024 were collected. There were 171 males and 331 females, aged 65(range, 35?91)years. All patients underwent preoperative abdominal enhanced CT and radical resection. The 502 patients were randomly divided into a training set of 351 cases and a test set of 151 cases at a 7:3 ratio. The training set was used to construct prediction model, and the test set was used to validate prediction model. Observation indicators: (1)neural invasion in gallbladder cancer and influencing factor analysis; (2) construction and validation of machine learning prediction models for neural invasion in gallbladder cancer. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the Mann-Whitney U test. Logistic regression model was performed for univariate and multivariate analyses. Independent influencing factors were incor-porated to construct machine learning models using the standard library modules based on Python 3.9. Receiver operating characteristic (ROC) curves were plotted, and the accuracy, sensitivity, specificity, area under the curve (AUC), precision, F1 score, positive predictive value, negative predic-tive value, and Kappa value were calculated to evaluate the predictive performance of the models. The Delong test was used to assess the differences in AUC among different models in the test set. The Hosmer-Lemeshow test and Brier score were used to evaluate the calibration of the models. Results:(1) Neural invasion in gallbladder cancer and influencing factor analysis. Of the 502 patients with gallbladder cancer, 131 cases had neural invasion, and 371 cases had no neural invasion. Results of multivariate analysis showed that total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-lymphocyte ratio, liver invasion detected by CT, vascular invasion detected by CT, hilar or retroperi-toneal lymph node metastasis detected by CT, and tumor stages T3 and T4 were independent influencing factors for neural invasion in patients with gallbladder cancer [ odds ratios=3.747, 2.395, 3.917, 3.596, 2.805, 2.377, 3.523, 2.774, 5.080, 6.809, 95% confidence interval ( CI) as 1.890?7.430, 1.154?4.971, 2.054?7.472, 1.807?7.155, 1.506?5.225, 1.241?4.553, 1.666?7.449, 1.483?5.189, 2.050?12.589, 2.552?18.168, P<0.05]. (2) Construction and validation of machine learning predic-tion models for neural invasion in gallbladder cancer. Based on the independent influencing factors, seven machine learning models were constructed, including logistic regression, K-nearest neighbors, support vector machine, random forest, decision tree, back-propagation neural network, and gradient boosting machine. The ROC curves of seven machine learning models in the test set were plotted, and the AUC were 0.900(95% CI as 0.851?0.948), 0.741(95% CI as 0.646?0.829), 0.836(95% CI as 0.762?0.895), 0.782(95% CI as 0.701?0.855), 0.839(95% CI as 0.770?0.901), 0.817(95% CI as 0.738?0.887), 0.843(95% CI as 0.770?0.909), respectively. Results of Delong test showed that the logistic regression model had the highest AUC. The sensitivity and specificity of the logistic regression model were 0.868 and 0.805 respectively, indicating the best balance. Results of Hosmer-Lemeshow test showed that the logistic regression model had a good goodness-of-fit ( χ2=5.320, P>0.05). The Brier score of the logistic regression model was relatively low, as 0.168, which verified its calibration advantage. Conclusion:Total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-to-lymphocyte ratio, liver invasion detected by enhanced CT, vascular invasion detected by enhanced CT, hilar or retroperitoneal lymph node metastasis detected by enhanced CT, and tumor stages T3 and T4 are independent influencing factors for nerve invasion in patients with gallbladder cancer. Seven machine learning models are constructed based on enhanced CT and clinical characteristics to predict neural invasion in gallbladder cancer, of which the logistic regression model demonstrates good predictive performance.

[Objective]To explore the origin and evolution of the unnamed prescriptions in Handbook of Prescriptions for Emergency in order to clarify the development context of the unnamed prescriptions in this book and provide some ideas for exploring the origins of other unnamed prescriptions in medical formulary.[Methods]By using methods of cataloging,bibliology and historical research,this article briefly describes the version of the Handbook of Prescriptions for Emergency and its unnamed prescriptions.Besides,it compares and analyzes the unnamed prescriptions in the Handbook of Prescriptions for Emergency with those in related medical books to investigate the origin and evolution of the unnamed prescriptions in this book.[Results]Apart from the accompanying prescriptions,Handbook of Prescriptions for Emergency contains a total of 1 130 unnamed prescriptions.There are 14 unnamed prescriptions in Handbook of Prescriptions for Emergency that can be traced back to the medical prescriptions on the wooden slips unearthed in Liye and Zhoujiatai,and the Formulas for Fifty-two Diseases written on silk from the Mawangdui Han Tomb,were particularly closely related to the latter formulas.Besides,there are 22 unnamed prescriptions in Handbook of Prescriptions for Emergency derived from Treatise on Febrile Diseases and Synopsis of the Golden Chamber.Although there are 26 unnamed prescriptions for treating sudden death and poisoning caused by drugs and food,which are similar to the content of"miscellaneous treatment prescriptions""taboos for poultry,animals,fish,insects"and"taboos for fruits,vegetables and grains"in the current edition of Synopsis of the Golden Chamber,they are suspected to be written by GE Hong and were confused by Song officials and added to Synopsis of the Golden Chamber.In addition,there are 255 unnamed prescriptions in Handbook of Prescriptions for Emergency that gradually evolved into named prescriptions in later generations,were mainly recorded in five books including Important Formulas Worth a Thousand Gold Pieces for Emergency,Arcane Essentials from the Imperial Library,Taiping Royal Prescriptions,Comprehensive Recording of Divine Assistance and Formulas for Universal Relief.Finally,it is speculated that Huanglian Jiedu Decoction in Cuishi Fang and Xiaodingzhi Pill in Sanyin Jiyi Bingzheng Fanglun are all originated from unnamed prescriptions in Handbook of Prescriptions for Emergency.[Conclusion]The emergence of prescriptions is not static,which has gone through a process from simple to complex,from unnamed prescriptions to named prescriptions.Taking the famous prescription book Handbook of Prescriptions for Emergency from the Jin Dynasty as an example,the unnamed prescriptions recorded in the book can be dated back to the medical records inscribed wooden slips of the Qin and Han Dynasties,and have inspired later famous prescriptions,revealing to some extent the laws of the origin and evolution of prescriptions.

Objective:To explore the incidence of chronic obstructive pulmonary disease (COPD) in a cohort aged 40 years and above in Songjiang District, Shanghai, and to analyze the association of Mediterranean diet pattern and dietary approaches in stopping hypertension pattern (DASH) with the risk of developing COPD.Methods:Based on a natural population cohort in Songjiang District, Shanghai, 27 474 adults aged 40 years and above who did not have COPD at baseline were enrolled in the study. The Cox proportional risk regression model was used to analyze the association of baseline Mediterranean diet pattern score and DASH score with the risk of COPD, and the hazard ratio ( HR) of the risk and its 95% CI were calculated. Restricted cubic spline was used to analyze the nonlinear association between the two diet scores and the risk of COPD. Stratified analyses were performed according to gender, age, smoking status, etcetera. Sensitivity analyses were conducted by censoring cases diagnosed within one year after the baseline survey or people with a history of malignant tumor disease. Results:As of June 30, 2023, after a median follow-up time of 6.21 years, there were 1 089 (4.0%) new COPD cases with an incidence density of 64.00 per 10 000 person-years. After adjusting for relevant confounders, in the Mediterranean tertile subgroups under diet pattern score, the risk of developing COPD could be reduced by approximately 14% in the intermediate scoring group ( HR=0.86, 95% CI: 0.75-0.99) and 15% in the highest scoring group ( HR=0.85, 95% CI: 0.72-0.99) compared to the lowest scoring group. The association remained after censoring cases diagnosed within one year of the baseline survey ( HR=0.82, 95% CI: 0.70-0.95; HR=0.82, 95% CI: 0.68-0.97) or censoring people with a history of malignant tumor disease ( HR=0.84, 95% CI: 0.73-0.97; HR=0.84, 95% CI: 0.71-0.99). No statistical association was found between the DASH score and the risk of COPD. Conclusions:The Mediterranean diet pattern was associated with a lower risk of COPD. Increasing the intake of vegetables, fruits, legumes, and whole grains and decreasing the intake of red meat and others can reduce the risk of COPD. No association was found between the DASH dietary pattern and the risk of COPD in this community population.

The theories of "absence of kidney excess syndrome" and "treating kidney disease only by the tonifying method without the purgative method" have been highly praised by medical practitioners throughout history. However,the syndrome of intermingled deficiency and excess of kidney in clinical practice is not uncommon,and there are many cases that treating kidney disease with the method of expelling kidney turbidity. However,its theoretical basis has not been systematically organized and studied. This article,based on the consideration of the "three purging" herbs of Liuwei Dihuang Pill,finds that "kidney" in traditional Chinese medicine not only stores essence,but also removes turbidity. From the theory of storage-expelling of five zang viscera,the physiological characteristic of kidney is integrated with storing and expelling functions. In addition to storing essence and qi to maintain normal life activities in the human body,it also exercises the function of excretion through the bladder and sanjiao. Under pathological conditions,both the function of storing essence and excretion of turbidity in kidney can be affected,which manifests as lack of essence and accumulation of turbidity. The pathological features of this disease are characterized by kidney qi deficiency as the root cause,accumulation of turbidity as the result,and intertwined with each other. Based on the physiology and pathology of visceral manifestation of kidney in traditional Chinese medicine,the theory of "retaining essence and removing turbidity" can be used in the clinical diagnosis and treatment of kidney disease. When treating kidney disease,the method of invigorating the kidney can also be combined with the method of expelling kidney turbidity,such as promoting diuresis,dissipating phlegm,promoting blood circulation,or removing toxin. Flexible selection of the above treatment methods can improve the therapeutic effect.