Objective To investigate the post-discharge exercise behavior and factors influencing moderate to vigorous intensity physical activity (MVPA) in patients undergoing lung surgery. Methods A total of 2874 patients from the large prospective, observational perioperative lung symptom study cohort (CN-PRO-Lung 3) in the Department of Thoracic Surgery at Sichuan Cancer Hospital between April 7, 2021, and January 31, 2024, were selected as the survey subjects. A survey was conducted using the Investigation of Exercise Behavior after Lung Surgery questionnaire and the International Physical Activity Questionnaire-Short Form (IPAQ-SF) among patients who underwent lung surgery. Binary logistic regression was used to analyze the factors influencing patients’ engagement in MVPA. Results A total of 702 patients were surveyed, including 252 males and 450 females, with an average age of (52.4±10.2) years. Patients with lung cancer accounted for 85.9%. Only 36.0% of the patients had regular exercise habits, while 42.3% did not engage in any physical activity. The three main barriers for postoperative exercise were physical discomfort (pain, coughing, shortness of breath, etc, 54.7%), lack of professional guidance (41.7%), and concerns about the surgical wound (28.9%). The proportions of patients engaging in vigorous, moderate, and low-intensity physical activity were 5.7%, 28.2%, and 66.1%, respectively. Multivariate analysis showed that patients with a personal annual income ≥50000 yuan (OR=1.52, 95%CI 1.01-2.29, P=0.044), high school education or above (OR=1.92, 95%CI 1.33-2.76, P<0.001), and lobectomy (OR=1.44, 95%CI 1.02-2.03, P=0.037) engaged in more MVPA. Conclusion Patients undergoing lung surgery have inadequate physical activity after discharge, particularly lacking in MVPA. Patients with higher income, higher educational levels, and lobectomy are more frequently engaged in MVPA. Measures such as symptom control, providing exercise guidance, and enhancing education on wound care may potentially improve the inadequate physical activity in lung surgery patients after discharge.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective:To investigate the distribution of iodine in drinking water in Inner Mongolia Autonomous Region, and provide a basis for delineation of different types of water iodine areas and the adoption of targeted prevention and control measures, as well as scientific adjustment of intervention strategies.Methods:Using cross-sectional survey method, from June to December in 2017, a survey on the distribution of water iodine was conducted in the entire autonomous region on a township (street, Sumu, abbreviated as township) basis in accordance with the requirements of the "National Survey Plan for Iodine Content in Drinking Water". For townships with water iodine level greater than 10 μg/L found in the survey, the survey was conducted on an administrative village (community, Gacha, abbreviated as administrative village) basis. The water iodine of regions with water iodine level greater than 100 μg/L found in the survey were reviewed in 2018 - 2019. Arsenic-cerium catalytic spectrophotometry was used to test water iodine.Results:A total of 1 009 townships of 103 counties (cities, districts) were surveyed on a township by township basis, with a median water iodine of 6.7 μg/L. Among them, there were 707 townships with water iodine < 10 μg/L, accounting for 70.1%. There were 251 townships with water iodine of 10 - < 40 μg/L, accounting for 24.9%. There were 44 townships with water iodine of 40 - 100 μg/L, accounting for 4.4%. There were 7 townships with water iodine > 100 μg/L, accounting for 0.7%. A total of 3 326 administrative village of 298 townships were surveyed based on administrative villages, among which, 791 villages had water iodine < 10 μg/L, accounting for 23.8%. There were 2 031 villages with water iodine of 10 - < 40 μg/L, accounting for 61.1%. There were 468 villages with water iodine of 40 - 100 μg/L, accounting for 14.1%. There were 36 administrative villages with water iodine > 100 μg/L, accounting for 1.1%. After review, 96 administrative villages in 12 townships of 4 league cities had water iodine > 100 μg/L.Conclusions:Most areas in Inner Mongolia Autonomous Region are iodine deficiency areas, and there are localized areas with high iodine levels due to water sources. Different iodine supplementation or iodine reduction measures should be taken for areas with different water iodine levels.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective To explore the application value of different deep learning models in predicting the lung cancer spread through air spaces(STAS).Methods A total of 203 patients with stage Ⅰ—Ⅱ primary lung cancer were included,of which 74 were STAS-positive and 129 were STAS-negative.Patients were randomly divided into training set(142 cases)and test set(61 cases)at a 7∶3 ratio.Region of interest(ROI)was outlined using ITK-SNAP software,facilitating the extraction of tumor and peritumoral images.The Resnet18,Inception_v3,and Vision Transformer(Vit)were employed for model training and feature extraction.Feature selection was performed by the least absolute shrinkage and selection operator(LASSO)algorithm and Spearman correlation coefficient,followed by the establishment of a predictive model using the Naive Bayes machine learning algorithm.The receiver operating characteristic(ROC)curve was drawn to compare the prediction performance of each model.The assessment of calibration was performed using calibration curves,and the evaluation of clinical application value was conducted using decision curve analysis(DCA).Results The area under the curve(AUC)for the training and test sets were as follows:the training set Resnet18 0.849-0.930,Inception_v3 0.848-0.888,Vit 0.747-0.842;and the test set Resnet18 0.796-0.846,Inception_v3 0.783-0.804,Vit 0.690-0.796.In tumor-peritumoral images,Resnet18 had a higher calibration and better clinical net benefit,while Vit showed superior calibration and clinical net benefit when only tumor tissue was considered.Conclusion Deep learning models can effectively predict lung cancer STAS,providing more decision support for the preoperative diagnosis and treatment of stages Ⅰ—Ⅱ lung cancer.

Objective To explore the application value of different deep learning models in predicting the lung cancer spread through air spaces(STAS).Methods A total of 203 patients with stage Ⅰ—Ⅱ primary lung cancer were included,of which 74 were STAS-positive and 129 were STAS-negative.Patients were randomly divided into training set(142 cases)and test set(61 cases)at a 7∶3 ratio.Region of interest(ROI)was outlined using ITK-SNAP software,facilitating the extraction of tumor and peritumoral images.The Resnet18,Inception_v3,and Vision Transformer(Vit)were employed for model training and feature extraction.Feature selection was performed by the least absolute shrinkage and selection operator(LASSO)algorithm and Spearman correlation coefficient,followed by the establishment of a predictive model using the Naive Bayes machine learning algorithm.The receiver operating characteristic(ROC)curve was drawn to compare the prediction performance of each model.The assessment of calibration was performed using calibration curves,and the evaluation of clinical application value was conducted using decision curve analysis(DCA).Results The area under the curve(AUC)for the training and test sets were as follows:the training set Resnet18 0.849-0.930,Inception_v3 0.848-0.888,Vit 0.747-0.842;and the test set Resnet18 0.796-0.846,Inception_v3 0.783-0.804,Vit 0.690-0.796.In tumor-peritumoral images,Resnet18 had a higher calibration and better clinical net benefit,while Vit showed superior calibration and clinical net benefit when only tumor tissue was considered.Conclusion Deep learning models can effectively predict lung cancer STAS,providing more decision support for the preoperative diagnosis and treatment of stages Ⅰ—Ⅱ lung cancer.

Purpose To investigate the distribution characteristics of tumor-associated macrophages(TAM)in different regions of breast cancer with enhanced contrast-enhanced ultrasound(CEUS),and to further explore the relationship between TAM and CEUS indicators and clinicopathology in different regions of breast cancer.Materials and Methods A total of 119 patients with suspected breast cancer admitted to the Cancer Hospital Affiliated to Xinjiang Medical University from March 2021 to March 2023 were prospectively included.CEUS was applied to the tumor,and ultrasound-guided puncture biopsy was also taken.The lesions diagnosed as breast cancer by pathology was outlined the central area,marginal area and normal area next to the cancer,and was obtained the time intensity curves of different areas.The tissues were taken for immunohistochemistry and flow cytometry,and the TAM cells were stained and distinguished.The characteristics of TAM in different regions of breast cancer and its correlation with clinical pathology were analyzed,respectively.Results By immunohistochemistry and flow cytometry,there were significant differences in the number of TAM infiltration in the border area,central area and adjacent area of breast cancer(immunohistochemistry:F=382.326,P<0.05;flow cytometry:F=24.955,P<0.05).The characteristics of CEUS in three different regions showed that the TAM in the central region of breast cancer increased when filling defect appeared(t=2.631,P<0.05),but the TAM in the peripheral region was more(t=2.999,P<0.05).After angiography,lesions showed high perfusion,and there was significantly more TAM in the edge and central area of the lesion than that in normal area next to the cancer(t=5.529,P<0.05;t=2.584,P<0.05).Clinical stage was related to the TAM in three regions.When the clinical stage was high,there were more TAM in all three regions(t=6.658,2.367,2.400,all P<0.05).Histological grading was high,and TAM in all three areas was high(F=101.151,16.922,26.822,all P<0.05).Conclusion There was a decreasing trend of TAM in the marginal area,central area and adjacent tissues of breast cancer during CEUS.The edge region has more malignant CEUS characteristics than that in the central region and the normal region adjacent to cancer;and the number of TAM is more in breast cancer with late clinical grading,poor tissue differentiation and obvious contrast-enhanced ultrasound malignant characteristics.The distribution characteristics of TAM represent the malignant degree and metastatic probability of breast cancer to a certain extent,and TAM is a factor related to the invasion of breast cancer.

Bone morphogenetic proteins (BMPs) are multifunctional growth factors of the transforming growth factor β (TGF-β) superfamily. They regulate steroid secretion from mammalian granulosa cells, promote granulosa cell survival and proliferation, and inhibit follicular atresia, luteinization, and granulosa cell apoptosis, thereby promoting the development and maturation of mammalian follicles. At the same time, BMPs play an important role in embryonic morphogenesis, induction of uterine receptivity, and blastocyst attachment. This paper describes the effects of BMPs on mammalian follicular and embryonic development and the roles of BMPs in female reproduction, focusing on the process in which BMPs promote follicular maturation by regulating steroid secretion from granulosa cells during mammalian oocyte maturation. This review aims to provide a reference for further research on mammalian oocyte culture and improvement of reproductive efficiency in female animals.
Animals ; Embryonic Development/drug effects* ; Female ; Bone Morphogenetic Proteins/pharmacology* ; Reproduction/physiology* ; Humans ; Granulosa Cells/cytology* ; Oocytes

Objective To apply bedside ultrasound for real-time monitoring of intracranial conditions in patients with severe traumatic brain injury experiencing acute encephalocele during large craniotomy， and to investigate the clinical value of intraoperative bedside ultrasound in the diagnosis and prognostic evaluation of acute encephalocele. Methods A retrospective analysis was performed for 32 adult patients with severe traumatic brain injury， and according to whether intraoperative ultrasound was performed， they were divided into ultrasound group with 17 patients and CT group with 15 patients. The two groups were compared in terms of time of operation， accuracy， mortality rate， and postoperative Glasgow Outcome Scale （GOS） score. The chi-square test was used for comparison of categorical data between groups， and the independent samples t-test was used for comparison of continuous data between groups. Results Both ultrasound and CT could provide an accurate basis for diagnosis， with no significant difference in diagnostic accuracy； however， compared with the CT group， the ultrasound group had significantly shorter time of operation and diagnostic time. Based on GOS score and grading results at 6 months after surgery， the patients undergoing ultrasound examination had a significantly better prognosis than those undergoing CT examination. Conclusion Intraoperative ultrasound for patients with severe traumatic brain injury enables rapid and accurate identification of etiology， facilitates dynamic intracranial monitoring， and shortens the time for rescue， showing an important clinical significance in improving prognosis and reducing mortality rate. Therefore， it holds promise for clinical application.