Objective To propose a lung artery segmentation method that integrates shape and position prior knowledge, aiming to solve the issues of inaccurate segmentation caused by the high similarity and small size differences between the lung arteries and surrounding tissues in CT images. Methods Based on the three-dimensional U-Net network architecture and relying on the PARSE 2022 database image data, shape and position prior knowledge was introduced to design feature extraction and fusion strategies to enhance the ability of lung artery segmentation. The data of the patients were divided into three groups: a training set, a validation set, and a test set. The performance metrics for evaluating the model included Dice Similarity Coefficient (DSC), sensitivity, accuracy, and Hausdorff distance (HD95). Results The study included lung artery imaging data from 203 patients, including 100 patients in the training set, 30 patients in the validation set, and 73 patients in the test set. Through the backbone network, a rough segmentation of the lung arteries was performed to obtain a complete vascular structure; the branch network integrating shape and position information was used to extract features of small pulmonary arteries, reducing interference from the pulmonary artery trunk and left and right pulmonary arteries. Experimental results showed that the segmentation model based on shape and position prior knowledge had a higher DSC (82.81%±3.20% vs. 80.47%±3.17% vs. 80.36%±3.43%), sensitivity (85.30%±8.04% vs. 80.95%±6.89% vs. 82.82%±7.29%), and accuracy (81.63%±7.53% vs. 81.19%±8.35% vs. 79.36%±8.98%) compared to traditional three-dimensional U-Net and V-Net methods. HD95 could reach (9.52±4.29) mm, which was 6.05 mm shorter than traditional methods, showing excellent performance in segmentation boundaries. Conclusion The lung artery segmentation method based on shape and position prior knowledge can achieve precise segmentation of lung artery vessels and has potential application value in tasks such as bronchoscopy or percutaneous puncture surgery navigation.

Objective To explore the risk factors for postoperative respiratory failure (RF) in patients with esophageal cancer, construct a predictive model based on the least absolute shrinkage and selection operator (LASSO)-logistic regression, and visualize the constructed model. Methods A retrospective analysis was conducted on patients with esophageal cancer who underwent surgical treatment in the Department of Thoracic Surgery, Sun Yat-sen University Cancer Center Gansu Hospital from 2020 to 2023. Patients were divided into a RF group and a non-RF (NRF) group according to whether RF occurred after surgery. Clinical data of the two groups were collected, and LASSO-logistic regression was used to optimize feature selection and construct the predictive model. The model was internally validated by repeated sampling 1000 times based on the Bootstrap method. Results A total of 217 patients were included, among which 24 were in the RF group, including 22 males and 2 females, with an average age of (63.33±9.10) years; 193 were in the NRF group, including 161 males and 32 females, with an average age of (62.14±8.44) years. LASSO-logistic regression analysis showed that the percentage of forced expiratory volume in one second/forced vital capacity (FEV1/FVC) to predicted value (FEV1/FVC%pred) [OR=0.944, 95%CI (0.897, 0.993), P=0.026], postoperative anastomotic fistula [OR=4.106, 95%CI (1.457, 11.575), P=0.008], and postoperative lung infection [OR=3.776, 95%CI (1.373, 10.388), P=0.010] were risk factors for postoperative RF in patients with esophageal cancer. Based on the above risk factors, a predictive model was constructed, with an area under the receiver operating characteristic curve of 0.819 [95%CI (0.737, 0.901)]. The Hosmer-Lemeshow test for the calibration curve showed that the model had good goodness of fit (P=0.527). The decision curve showed that the model had good clinical net benefit when the threshold probability was between 5% and 50%. Conclusion FEV1/FVC%pred, postoperative anastomotic fistula, and postoperative lung infection are risk factors for postoperative RF in patients with esophageal cancer. The predictive model constructed based on LASSO-logistic regression analysis is expected to help medical staff screen high-risk patients for early individualized intervention.

BackgroundSocial support can help alleviate depressive symptoms in patients with major depressive disorder （MDD） and improve individual levels of empathy. The higher the level of empathy， the lower the probability of depressive symptoms. At present， the relationship between social support， empathy and depressive symptoms in MDD patients is unclear. ObjectiveTo explore the pathway of empathy in the relationship between social support and depressive symptoms in patients with MDD， so as to provide references for clinical treatment of MDD patients. MethodsA total of 126 patients who visited the outpatient clinic of Tianjin Anding hospital from July 2020 to September 2022 and met the diagnostic criteria for Major Depressive Disorder （MDD） according to the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） were selected as the study subjects. Hamilton Depression Scale-17 item （HAMD-17）， Interpersonal Reactivity Index （IRI） and Social Support Rating Scale （SSRS） were used for assessment. Pearson correlation analysis was conducted to examine the correlations among the scale scores. Path analysis was performed using Model 4 of the Process 3.4.1. Bootstrap method was used to test the path effects. ResultsAmong MDD patients， HAMD-17 total score was positively correlated with IRI total score and its subscales of fantasy and personal distress （r=0.225， 0.213， 0.220， P<0.05）. HAMD-17 total score was negatively correlated with SSRS total score and its subscales of subjective support and support utilization （r=-0.211， -0.181， -0.208， P<0.05）. The score of support utilization subscale of SSRS was positively correlated with IRI total score and its subscale of perspective taking and empathic concern （r=0.257， 0.261， 0.331， P<0.01）. Empathy served as a pathway between support utilization and depressive symptoms， with an indirect effect of 0.217 （95% CI： 0.060~0.426）， and the effect size was 36.90%. ConclusionEmpathy may serve as a pathway between support utilization and depressive symptoms in patients with MDD.

Based on the data from the 5^th National Physical Fitness Surveillance in China, this study aimed to explore the relationship between abnormal body weight and physical fitness levels in older adults.

ObjectiveTo analyze the distribution characteristics of traditional Chinese medicine （TCM） syndrome elements in different risk populations of heart failure complicated with type 2 diabetes. MethodsClinical data of 675 type 2 diabetes patients were retrospectively collected. Lasso-multivariate Logistic regression was used to construct a clinical prediction nomogram model. Based on this， 441 non-heart failure patients were divided into a low-risk group （325 cases） and a high-risk group （116 cases） according to the median risk score of heart failure complicated with type 2 diabetes. TCM diagnostic information （four diagnostic methods） was collected for both groups， and factor analysis was applied to summarize the distribution of TCM syndrome elements in different risk populations. ResultsLasso-multivariate Logistic regression analysis identified age， disease duration， coronary heart disease， old myocardial infarction， arrhythmia， absolute neutrophil count， activated partial thromboplastin time， and α-hydroxybutyrate dehydrogenase as independent risk factors for heart failure complicated with type 2 diabetes. These were used as final predictive factors to construct the nomogram model. Model validation results showed that the area under the curve （AUC） of the receiver operating characteristic （ROC） curve for the modeling group and validation group were 0.934 and 0.935， respectively. The Hosmer-Lemeshow test （modeling group P = 0.996， validation group P = 0.121） indicated good model discrimination. Decision curve analysis showed that the curves for All and None crossed in the upper right corner， indicating high clinical utility. The low-risk and high-risk groups each obtained 14 common factors. Preliminary analysis revealed that the main disease elements in the low-risk group were qi deficiency （175 cases， 53.85%）， dampness （118 cases， 36.31%）， and heat （118 cases， 36.31%）， with the primary locations in the spleen （125 cases， 38.46%） and lungs （99 cases， 30.46%）. In the high-risk group， the main disease elements were yang deficiency （73 cases， 62.93%）， blood stasis （68 cases， 58.62%）， and heat （49 cases， 42.24%）， with the primary locations in the kidney （84 cases， 72.41%） and heart （70 cases， 60.34%）. ConclusionThe overall disease characteristics in different risk populations of type 2 diabetes patients with heart failure are a combination of deficiency and excess， with deficiency being predominant. Deficiency and heat are present throughout. The low-risk population mainly shows qi deficiency with dampness and heat， related to the spleen and lungs. The high-risk population shows yang deficiency with blood stasis and heat， related to the kidneys and heart.

Guided by the theories of yin-yang and collateral disease， this paper identifies the dysregulation of yang qi ascent and descent as the core pathomechanism of hypertension. Based on clinical experience， a treatment approach centered on the method of raising yang and promoting descent was proposed. Clinically， three major syndrome types were identified. Firstly， deficiency of zong qi （ancestral qi） with blood stasis， obstruction of phlegm-turbidity and blood stasis， and hyperactivity of liver yang. Corresponding empirical formulation， Yizong Huoxue Decoction （益宗活血汤） was applied to tonify zong qi， invigorate blood， and raise yang. Secondly， Lizong Huoxue Decoction （理宗活血汤） was used to resolve phlegm， promote yang qi circulation， and regulate qi and blood. Thirdly， Qinggan Tongluo Decoction （清肝通络饮） was used to clear the liver， dredge collaterals， and subdue hyperactive yang. For special types such as non-dipper hypertension， time-specific syndrome differentiation and treatment can be applied based on a thorough understanding of the underlying pathomechanism， aiming to provide new insights into clinical diagnosis and treatment of hypertension.

Chronic heart failure （CHF） is a complex clinical syndrome that the cardiac output is not enough to meet the metabolic needs of the body， or depends on the increase of filling pressure to compensate. Its high morbidity and mortality pose a serious threat to human health， necessitating attention and active intervention. At present， western medicine treatment of CHF is mainly based on diuretics， intravenous vasodilators， intravenous positive inotropic drugs， etc.， which， however， have problems such as long medication cycles， serious side effects， and limited applicable population. Recent studies have shown that traditional Chinese medicine can act in a multi-pathway， multi-component， and multi-target manner， showing unique advantages in the prevention and treatment of CHF. Buyang Huanwutang has the effects of tonifying Qi， activating blood， and dredging collaterals. Clinical and mechanism studies have confirmed that this prescription is effective in treating CHF and its syndromes. The clinical studies can be classified into two categories. Studies of the first category use simple modern medical diagnostic criteria as the inclusion criteria for CHF patients， which can improve the scientificity and objectivity. Studies of the second category uses modern medicine combined with traditional Chinese medicine disease diagnostic criteria for the screening of CHF patients， which helps to improve the accuracy of efficacy evaluation. However， there are problems such as the lack of unified research standards and the insufficiency of mechanism research. In addition， the available studies remain to be classified or summarized. This study systematically sorted out the clinical and mechanism studies of Buyang Huanwutang in the treatment of CHF in recent years to review the research status. In clinical treatment， Buyang Huanwutang can be used alone， or modified， or combined with other prescriptions or Western medicine. The mechanism studies predict that Buyang Huanwutang can ameliorate CHF by regulating the calcium balance， protecting the mitochondrial structure and function， and regulating intestinal flora. This review aims to provide a theoretical basis and practical guidance for the clinical application and optimization and subsequent in-depth study of Buyang Huanwutang in the treatment of CHF.

Objective: To summarize the laboratory findings of a case of hemolytic disease of the fetus and newborn (HDFN) caused by Rh system anti-c antibodies and to review the literature, so as to explore the characteristics of anti-c HDFN. Methods: The ABO blood type, Rh blood type, direct antiglobulin test (DAT) results, and the presence of unexpected antibodies and their titers were determined by serological methods. The cases of anti-c HDFN in our laboratory in China and abroad were statistically analyzed, and the incidence of severe HDFN caused by anti-c, anti-D and anti-E was compared. Results: The blood type of the child was B (Rh CcDee) with a positive DAT. Anti-c antibody was detected in both serum and eluate, with a serum antibody titer of 4. The mother’s blood type was AB (Rh CCDee) with a negative DAT, and anti-c antibody was detected in the serum with a titer of 128. Among 20 cases of anti-c HDFN, 17 were DAT positive, and 9 (45%, 9/20) underwent blood transfusion or exchange transfusion. The incidence of severe HDFN was 47.60% (10/21) for anti-c, 47.60% (10/21) for anti-D and 31.30% (5/16) for anti-E. Conclusion: Maternal pregnancy and/or blood transfusion are the main reasons for the production of Rh alloantibodies such as anti-c. The prevention and management of anti-c should be similar to that of anti-D. Rh antigen-matched (five antigens of Rh blood group) transfusion is necessary for women of childbearing age to avoid antibody production, and Rh typing and antibody screening during prenatal examination is recommended to ensure early detection, intervention and treatment.

Objective To evaluate the overall implementation of the WS 76-2020 standard in Anhui Province, China and identify and analyze the factors affecting the implementation of the standard, and to provide a basis for the effective implementation and revision of WS 76-2020. Methods According to the requirements of the Notice of the Department of Regulations in National Health Commission on the 2024 assessment of implementation of mandatory standards, an evaluation of radiological health standards was organized and conducted in Anhui Province. The evaluation involved the three dimensions of standard implementation status, technical content of the standards, and effectiveness of standard implementation, with subsequent data analysis. Results The total evaluation score for WS 76-2020 was 87.83 points, indicating that the standard effectively guided the quality control testing of medical X-ray diagnostic equipment. However, stability testing was either underutilized or not performed in practice. The qualified rate of X-ray diagnostic equipment in the province was 94.26%, with equipment performance issues identified as the leading contributor to non-qualified instances. Expert discussions highlighted recommendations particularly concerning the operability, applicability, and scientific rigor of the standard. Conclusion It is recommended to strengthen the dissemination and training for the standard, promote medical institutions to voluntarily conduct stability testing, provide supplementary clarifications or revisions for problematic clauses, and standardize quality control testing techniques for radiological diagnostic equipment.

Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.