With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Patients with alcoholic cirrhosis often experience varying degrees of malnutrition， and the patients with malnutrition are more susceptible to complications such as infections and ascites， which may lead to a poor prognosis. Therefore， it is particularly important to conduct nutritional risk screening for patients in clinical practice， and appropriate nutritional assessment tools should be used to evaluate the nutritional status of patients and develop individualized nutritional supplementation regimens， thereby promoting disease recovery and improving prognosis and quality of life. This article elaborates on the specific methods for nutritional screening， assessment， and management in patients with alcoholic cirrhosis and points out that systematic nutritional screening and assessment can help to identify the patients with malnutrition in the early stage and provide timely intervention. Individualized nutritional supplementation regimens should be adjusted based on the conditions of patients， so as to meet their nutritional needs， promote the recovery of liver function， improve overall health status， and enhance long-term quality of life.

Palliative care is recognized as an effective measure to improve the quality of life for patients with end-stage diseases， and the significance and role of such patients participating in clinical trials to conquer major diseases has also become a broad consensus. However， due to the special physical， psychological， and social conditions of terminal trial participants， the ethical problems encountered in the trial process are more serious and complex. Drawing on ethical practice experience， these seemingly common phenomena and issues were deeply analyzed. Combined with the palliative care philosophy for end-stage patients， this paper proposed a series of improvement suggestions throughout the entire life cycle of clinical trials， hoping to promote the quality improvement of clinical research in which end-stage patients participate as subjects， while effectively protecting the safety and rights of the subjects and ensuring they receive appropriate palliative care during their participation in clinical trials or clinical-related scientific research.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective:To analyze the epidemic characteristics of reported tuberculosis incidence in Kashgar from 2015 to 2022, and use the seasonal autoregressive integrated moving average (SARIMA) model to predict the incidence, providing references for the local control of pulmonary tuberculosis.Methods:The reported incidence data of tuberculosis in the Kashgar area of Xinjiang from January 2015 to August 2023 were collected through the"Infectious Disease Monitoring System", a subsystem of the "Chinese Disease Prevention and Control Information System". The epidemic characteristics of reported incidence in this area from 2015 to 2022 were analyzed. Two SARIMA models of monthly reported incidence number and rate were established. The prediction performance of the two models was evaluated using the reported incidence data of tuberculosis from January 2023 to August 2023. The χ2 test was used to analyze population characteristics, and the Cochran-Armitage trend test was used to analyze annual incidence. Results:From 2015 to 2022, 133 972 cases of pulmonary tuberculosis were reported in Kashgar, with a yearly reported incidence rate of 383.64/100 000, showing a rising trend ( TCA=77.03, P<0.001) and then a declining trend ( TCA=176.16, P<0.001). The proportion of pathogenic positive pulmonary tuberculosis had increased yearly ( TCA=132.66, P<0.001). The reported onset time was concentrated from January to June each year, with a peak in April. Yengisar County, Zepu County and Yopurga County had the highest reported incidence rate in Kashgar. The sex ratio of men to women was 1.03∶1, and the reported incidence rate of men was higher than that of women ( χ2=27.04, P<0.001). The reported incidence rate of the group aged 60 years and older was the highest. The patient′s occupation was mainly farmers (84.99%). The average relative errors of the SARIMA ( 1, 1, 2) ( 0, 1, 1) 12 model and SARIMA ( 0, 1, 1)( 0, 1, 1) 12 model in predicting the reported monthly incidence number and rate were 11.67% and -9.81%, respectively. Both models had good prediction accuracy (MAPE=33.55%, MAPE=38.22%). Conclusion:The average reported incidence rate of pulmonary tuberculosis in the Kashgar area shows a rising trend first and then a declining trend. The patients are mainly men and farmers, and attention should be paid to the prevention and control of tuberculosis among the elderly in winter and spring. The SARIMA ( 1, 1, 2) ( 0, 1, 1) 12 model and SARIMA ( 0, 1, 1)( 0, 1, 1) 12 model can fit the trend of reported tuberculosis incidence in the Kashgar area well and have good predictive performance.

Podophyllotoxin is an aryl naphthalene lignan-like secondary metabolite, which is widely existed in plants of the Podophyllum. It exhibits a broad spectrum of antitumor activity and holds significant clinical value as a medicinal natural product of plant origin. This review discusses podophyllotoxin from three aspects: plant distribution, biosynthesis and pharmacological effects. Distribution of podophyllotoxin in nature: Podophyllotoxin and its analogues are mainly found in 12 genera of three families, which are Berberidaceae, Linaceae and Cupressaceae, respectively. They are mostly distributed in East Asia and North America, especially in China, which is not only the diversity center of the Podophyllum, but also the distribution center. Among all these plants, the genera Dysosma and Sinopodophyllum are the focus of the relevant research. Biosynthesis of podophyllotoxin: In order to take the alleviation of the pressure of podophyllotoxin that is in short supply of natural resources, and to protect its existing resources, the biosynthesis of podophyllotoxin, especially synthetic biology, has gradually become a new direction of current research. Compared with chemical synthesis which has the shortcoming of low synthesis efficiency, high production cost and cumbersome steps, biosynthesis has a variety of advantages. It’s not limited by resources, easy to cultivate on a large scale and has fast production speed, low production cost and simple genetic manipulation, so there is a broader prospect for the exact purpose of biosynthetic development. The biosynthesis of podophyllotoxin is divided into four steps in general, including the synthesis of coniferyl alcohol, the synthesis of matairesinol, the synthesis of deoxypodophyllotoxin and the synthesis of podophyllotoxin. It requires various enzymes catalyzed during the synthesis process, such as pinoresinol-lariciresinol reductase(PLR), secoisolariciresinol dehydrogenase(SDH) and others. At present, by means of synthetic biology, heterologous production of natural drugs in microbial cell factories, the synthesis of the intermediate coniferyl alcohol has been achieved in Escherichia coli with an increased yield of (124.9±5.1)mg·L−1, and the concentration of (-)-pluviatolide was elevated to 137 mg·L−1. In addition, p-coumaric acid in Saccharomyces cerevisiae was obtained to 71.71 mg·L−1, and in a tobacco plant production chassis, highly purified (-)-deoxypodophyllotoxin was increased to 0.71 mg·g−1 (dry weight) after chromatographic separation. Overall, the utilization of biosynthesis can significantly increase the yield of podophyllotoxin and improve the research and production efficiency of anti-tumor drugs greatly, which brings a more effective strategy for the treatment of related diseases. The pharmacological activity of podophyllotoxin: Podophyllotoxin and its analogues have strong cytotoxicity and they exert good inhibitory effects on the proliferation of multifarious tumor cells, viruses and bacteria. So they are widely applied to the clinical treatment of various types of tumors, such as colorectal cancer, lung cancer, cervical cancer, hemangioma, breast cancer, esophageal cancer, etc. The molecular mechanism of its cancer treatment is mainly in the G1, G2/M to block the cell cycle to make drugs work. Meanwhile, podophyllotoxin has relatively significant toxic side effects and drawbacks that can’t be ignored as a drug with superior therapeutic effect on specific diseases, which tends to increase the risk of bone marrow suppression, chromosomal aberrations and so forth. In conclusion, this literature sums up the distribution of podophyll plants in China, making review of the biosynthetic steps, applications, and biological research of podophyllotoxin, and outlines the pharmacological activity of podophyllotoxin. It aims to set the foundation for the reasonable application of podophyllotoxin resources, the efficient synthesis of podophyllotoxin, and the development of Podophyllum drugs which are highly effective and low toxic. At the same time, this paper gives full play to the clinical medicinal value of podophyllotoxin, which has important influence and far-reaching significance in the treatment of malignant diseases, and promotes the modernization of traditional Chinese medicine.

Objective:To analyze the epidemic characteristics of reported tuberculosis incidence in Kashgar from 2015 to 2022, and use the seasonal autoregressive integrated moving average (SARIMA) model to predict the incidence, providing references for the local control of pulmonary tuberculosis.Methods:The reported incidence data of tuberculosis in the Kashgar area of Xinjiang from January 2015 to August 2023 were collected through the"Infectious Disease Monitoring System", a subsystem of the "Chinese Disease Prevention and Control Information System". The epidemic characteristics of reported incidence in this area from 2015 to 2022 were analyzed. Two SARIMA models of monthly reported incidence number and rate were established. The prediction performance of the two models was evaluated using the reported incidence data of tuberculosis from January 2023 to August 2023. The χ2 test was used to analyze population characteristics, and the Cochran-Armitage trend test was used to analyze annual incidence. Results:From 2015 to 2022, 133 972 cases of pulmonary tuberculosis were reported in Kashgar, with a yearly reported incidence rate of 383.64/100 000, showing a rising trend ( TCA=77.03, P<0.001) and then a declining trend ( TCA=176.16, P<0.001). The proportion of pathogenic positive pulmonary tuberculosis had increased yearly ( TCA=132.66, P<0.001). The reported onset time was concentrated from January to June each year, with a peak in April. Yengisar County, Zepu County and Yopurga County had the highest reported incidence rate in Kashgar. The sex ratio of men to women was 1.03∶1, and the reported incidence rate of men was higher than that of women ( χ2=27.04, P<0.001). The reported incidence rate of the group aged 60 years and older was the highest. The patient′s occupation was mainly farmers (84.99%). The average relative errors of the SARIMA ( 1, 1, 2) ( 0, 1, 1) 12 model and SARIMA ( 0, 1, 1)( 0, 1, 1) 12 model in predicting the reported monthly incidence number and rate were 11.67% and -9.81%, respectively. Both models had good prediction accuracy (MAPE=33.55%, MAPE=38.22%). Conclusion:The average reported incidence rate of pulmonary tuberculosis in the Kashgar area shows a rising trend first and then a declining trend. The patients are mainly men and farmers, and attention should be paid to the prevention and control of tuberculosis among the elderly in winter and spring. The SARIMA ( 1, 1, 2) ( 0, 1, 1) 12 model and SARIMA ( 0, 1, 1)( 0, 1, 1) 12 model can fit the trend of reported tuberculosis incidence in the Kashgar area well and have good predictive performance.

Objective To summarize the isolation and drug resistance rate of Escherichia coliin The First Hospital of China Medical University over the past 10 years,in order to provide evidence for the efficacies of clinical anti-infection treatments.Methods The data was collected from Escherichia coli isolated from patients treated at The First Hospital of China Medical University between 2013 and 2022.VITEK 2 and VITEK MS were used for bacterial identification,VITEK2 and KB method were used for drug sensi-tivity testing,and WHONET 5.6 software was used for analysis.Results From 2013 to 2022,6 845 strains were isolated,including 80.5%from inpatients and 19.5%from emergency and outpatients.The specimens were most commonly found in the urine(57.8%),blood(15.0%),secretions(9.2%),and drainage fluid(8.1%).The isolation rate of extended-spectrumβ-lactamase(ESBL)producing Escherichia coli was 57.2%(54.3%to 61.5%).The drug resistance rate of Escherichia coli to carbapenems was low,at only 1.2%(0.2%to 2.6%).Conclusion Escherichia coli remains an important pathogen in clinical infections,with varying degrees of resist-ance to multiple antibiotics,and the resistance rate is increasing.Clinical physicians should pay sufficient attention to this issue.