Abstract To understand the relationship between cardiovascular disease (CVD) and adverse childhood experiences (ACEs), the present review aims to describe the burden and influencing factors of CVD, epidemiological characteristics and burden of ACEs, current research on the relationship between ACEs and CVD, and the mechanism of ACEs leading to CVD. It is proposed that further assessment of the relationship is warranted through identifying blood biomarkers, conducting prospective cohort studies and intervention studies. Such efforts would provide valuable scientific insights for primary prevention strategies for cardiovascular disease.

ObjectiveTo investigate the impact of preoperative frailty on the prognosis of patients with pancreatic cancer who underwent pancreaticoduodenectomy. MethodsA retrospective analysis was conducted on the clinical data of 435 pancreatic cancer patients who underwent pancreaticoduodenectomy at Sun Yat-sen Memorial Hospital of Sun Yat-sen University. Preoperative frailty was assessed using the FRAIL questionnaire. Binary logistics regression analysis was employed to identify factors influencing frailty， and Cox regression analysis was used to evaluate the effect of frailty on survival. According to the demographic characteristics， subgroup analyses were performed on the effect of frailty on prognosis of patients with pancreatic cancer with pancreaticoduodenectomy. ResultsAmong the 435 patients enrolled， 119 （27.4%） exhibited frailty， while 316 （72.6%） did not. Significant differences were observed between the two groups in various clinical parameters， including age， body mass index， American Society of Anesthesiologists （ASA） score， postoperative red blood cell transfusion， postoperative abdominal abscess， serum levels of glycoantigens 199， glycoantigens 125， and alpha fetoprotein， leukocyte count， neutrophil， high density lipoprotein （HDL） level， and pain intensity （P＜0.05）. Advanced age and an ASA score of Ⅲ were identified as risk factors for frailty， whereas HDL level was a protective factor. Non-frail patients had better postoperative survival times than frail patients. HDL was determined to be an independent protective factor for prognosis， while LDL was an independent risk factor. ConclusionsThis study demonstrates that preoperative frailty is a significant predictor of poor prognosis in pancreatic cancer patients who underwent pancreaticoduodenectomy.These findings suggest that preoperative frailty assessment and targeted interventions to improve nutritional and metabolic status could potentially enhance postoperative survival and quality of life in pancreatic cancer patients.

Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.

Objective To explore the correlation of MET status in patients with advanced prostatic acinar adenocarcinoma with the clinical pathological parameters and prognosis. Methods The specimen from 135 patients with advanced prostatic acinar adenocarcinoma was included. The expression of c-MET protein was detected via immunohistochemistry, and MET gene amplification was assessed by fluorescence in situ hybridization. The relationships of c-MET expression and gene amplification with clinicopathological features and prognosis were analyzed. Results The positive expression rate of c-MET was 52.60% (71/135). Compared with the c-MET expression in adjacent tissues, that in tumor tissues showed lower heterogeneous expression. Among the cases, 1.71% (2/117) exhibited MET gene polyploidy, but no gene amplification was detected. Positive c-MET expression was significantly correlated with high Gleason scores and grade groups (P=0.0073). However, no significant relationship was found between c-MET expression and progression-free survival or post-treatment t-PSA levels. Conclusion c-MET protein is expressed at a relatively low level in advanced prostatic acinar adenocarcinoma, suggesting that c-MET may not be a viable target for ADC drug development in prostatic acinar adenocarcinoma.

Objective     To construct a radiomics model for identifying clinical high-risk carotid plaques. Methods     A retrospective analysis was conducted on patients with carotid artery stenosis in China-Japan Friendship Hospital from December 2016 to June 2022. The patients were classified as a clinical high-risk carotid plaque group and a clinical low-risk carotid plaque group according to the occurrence of stroke, transient ischemic attack and other cerebrovascular clinical symptoms within six months. Six machine learning models including eXtreme Gradient Boosting, support vector machine, Gaussian Naive Bayesian, logical regression, K-nearest neighbors and artificial neural network were established. We also constructed a joint predictive model combined with logistic regression analysis of clinical risk factors. Results    Finally 652 patients were collected, including 427 males and 225 females, with an average age of 68.2 years. The results showed that the prediction ability of eXtreme Gradient Boosting was the best among the six machine learning models, and the area under the curve (AUC) in validation dataset was 0.751. At the same time, the AUC of eXtreme Gradient Boosting joint prediction model established by clinical data and carotid artery imaging data validation dataset was 0.823. Conclusion     Radiomics features combined with clinical feature model can effectively identify clinical high-risk carotid plaques.

Objective : To examine the causal relationship between ulcerative colitis (UC) and pancreatitis, to provide basis for early screening of pancreatitis among UC patients. Methods: Genomic data of UC were obtained from 47 745 European individuals pooled by the International Inflammatory Bowel Disease Genetics Consortium, including 156 116 single nucleotide polymorphism (SNP), and genomic data of pancreatitis were obtained from 198 166 European individuals pooled from FinnGen, including 16 380 428 SNPs. Mendelian randomization (MR) analysis was performed using the inverse variance weighted (IVW) method with 72 UC-associated SNPs as instrumental variables and pancreatitis as the study outcome. The heterogeneity was assessed using Cochran Q test, the horizontal pleiotropy was assessed using MR-Egger regression, MR-PRESSO was performed with the exclusion of outliers, and effect of individual SNP on the results was tested with the leave-one-out method. Results: MR analysis results showed that patients with genetically predicted UC had an increased risk of pancreatitis relative to those without UC (OR=1.076, 95%CI: 1.019-1.136, P<0.05). Cochran Q test showed no heterogeneity (P>0.05), and MR-Egger regression did not reveal horizontal pleiotropy of instrumental variables (P>0.05). The MR analysis results were robust after removing SNP one by one. Conclusions Genetically predicted UC is associated with an increased risk of pancreatitis. The screening for pancreatitis risk should be enhanced in patients with UC.

Objective:To summarize the thinking and compatibility law of TCM in the treatment of stable angina pectoris (SAP) based on syndrome differentiation using data mining technology.Methods:The clinical studies of TCM treatment for SAP in databases of CNKI, Wanfang Data, VIP and SinoMed China Biomedical Literature Service System were retrieved from the establishment of the databases to February 28, 2022. The frequency statistic, clustering analysis and association rule analysis of TCM data were conducted using Clementine 12.0, Excel 2016, SPSS Statistics 22.0 software, and core prescriptions were summarized.Results:Totally 289 prescriptions were included, involving 185 kinds of Chinese materia medica, including 38 TCM syndrome types. Based on the overall study of SAP "disease", the clinical treatment of SAP was mainly based on the drugs for activating blood circulation and removing blood stasis, tonifying deficiency and strengthening healthy qi, and regulating qi and resolving phlegm. The single Chinese materia medica with high frequency of use were Chuanxiaong Rhizoma, Salviea Miltiorrhizae Radix et Rhizoma, Glycyrrhizae Radix et Rhizoma, Angelicae Sinensis Radix, Angelicae Sinensis Radix, etc. The commonly used drug pairs included Chuanxiaong Rhizoma-Angelicae Sinensis Radix, Chuanxiaong Rhizoma-Carthami Flos, Chuanxiaong Rhizoma-Aurantii Fructus Immaturus, etc. The drug complex network diagram and clustering analysis showed that the prescription of Buyang Huanwu Decoction was the basic prescription for the treatment of SAP; based on the specific research of SAP "syndrome", the most common TCM syndromes of SAP were qi deficiency and blood stasis, phlegm and blood stasis, and qi stagnation and blood stasis. The drug properties of the three drugs were mainly warm and mild; the tastes were mainly sweet, pungent and bitter, and most of them belong to the liver, spleen, lung and heart meridian; in terms of specific medication, the basic prescription of qi deficiency and blood stasis syndrome was Buyang Huanwu Decoction, which was composed of high-frequency drugs such as Angelicae Sinensis Radix, Chuanxiaong Rhizoma, Salviea Miltiorrhizae Radix et Rhizoma, etc; The phlegm and blood stasis syndrome was often based on the Gualou Xiebai Banxia Decoction and Taohong Siwu Decoction, which were composed of high frequency drugs such as Pinelliae Rhizoma, Chuanxiaong Rhizoma, Allii Macrostemonis Bulbus, etc; the basic prescription of qi stagnation and blood stasis syndrome was Xuefu Zhuyu Decoction, which was composed of high frequency drugs such as Chuanxiaong Rhizoma, Angelicae Sinensis Radix, Aurantii Fructus. Drug clustering analysis showed that both qi deficiency and blood stasis syndrome and qi stagnation and blood stasis syndrome were divided into 3 categories, and phlegm and blood stasis syndrome were divided into 4 categories.Conclusions:Deficiency, blood stasis, phlegm and stagnation are important pathological factors of SAP, in which qi deficiency is the basis of SAP, blood stasis runs through the disease, or both phlegm and qi stagnation. Focusing on the pathogenesis of deficiency in root and excess in superficiality, drugs with the efficacy of tonifying the deficiency and promoting blood circulation and removing blood stasis are used in clinical treatment, according to different syndrome differentiation of prescription selection.

Objective:To establish an environmental management strategy for the prevention of ventilator-associated pneumonia from the perspective of etiological characteristics and to verify its application effect.Methods:Based on a sampling survey, this study constructed preventive management strategies for ventilator-associated pneumonia by blocking pathogen characteristics from the perspective of both colonization and infection management in patients. From July 2021 to June 2023, a non-synchronous randomized controlled study was conducted, including a control group of 59 cases and an experimental group of 57 cases from ICU of Tianjin Teda Hospital, all of them were mechanically ventilated patients. The effectiveness of the strategy was confirmed.Results:In the control group, there were 35 males and 24 females, with an average age of (46.97 ± 18.84) years. In the experimental group, there were 39 males and 18 females, with an average age of (47.49 ± 13.85) years. During the study period, there were 9 cases of ventilator-associated pneumonia (VAP) in the control group and 2 cases in the experimental group, the difference between the two groups was statistically significant (exact odds ratio=0.031). The duration of mechanical ventilation in the experimental group (122.41 ± 18.36) h, which was shorter than that in the control group (187.62 ± 18.05) h, and the difference was statistically significant ( t=19.28, P<0.05). The length of ICU stay in the experimental group was (8.38 ± 0.79) d, in the control group was (10.99 ± 1.10) d, the difference between them was statistically significant ( t=14.66, P<0.05). On the 7th day, there were 7 cases of positive pathogenic bacteria in sputum culture in the experimental group, which was significantly different from the 29 cases in the control group ( χ2=16.73, P<0.05). Conclusions:The vector management strategy for preventing ventilator-associated pneumonia by blocking etiological characteristics can reduce the incidence of VAP, shorten the duration of mechanical ventilation and ICU stay, and reduce the pathogen load in the sputum of mechanically ventilated patients on the 7th day.

BACKGROUND:Previous brain studies have mostly focused on adults and fetuses,and the developmental characteristics of young children's brainstems have rarely been studied. OBJECTIVE:To observe the brainstem development characteristics of healthy young children and to explore the age-related differences and their correlation with sex. METHODS:From January 2019 to April 2022,a retrospective study of 3.0T MRI images of 174 children aged 2 to 6 years in the Affiliated Hospital of Inner Mongolia Medical University was conducted,and the median sagittal diameter,area and angle of the brainstem(including midbrain,pons and medulla oblongata)were measured. RESULTS AND CONCLUSION:There is an age-related increase in the anterior and posterior diameters of the midbrain,pons and medulla oblongata in the 2-5 years old group as well as in the longitudinal diameter and area of the midbrain,pons and medulla oblongata in the 2-6 years old group.Except for the longitudinal diameter of the medulla oblongata,all others show a positive correlation with age(r>0,P<0.05).In the 2-3 years old group and 4-5 years old group,the children are in the rapid growth and development stage,and these two age groups can be used as the key observation indicators for the development of young children.The anterior-posterior diameter,longitudinal diameter,area of the pons and total brainstem area are strongly correlated with age,which can be used as the key observation indicators for the brainstem development in young children.

BACKGROUND:Nowadays,there are increasing reports on the digitization and visualization system of acupuncture points for adults in traditional Chinese medicine,and the digitization and visualization system of acupuncture points for children in traditional Chinese medicine and the simulation system of acupuncture manipulation for Mongolian medicine training have been reported.However,there are no reports on relevant systems for children in Mongolian medicine. OBJECTIVE:To develop a simulation system of acupuncture points for children in Mongolian medicine,in the hope that it can be used for clinical teaching,manipulation practice and research on acupuncture safety. METHODS:Based on the tomographic anatomical dataset of preschool boys,a three-dimensional(3D)digital virtual anatomical model of children with multiple internal organs and tissues was constructed by using PhotoShop.2021 and Digihuman Reconstruction System software.The relevant annotation information database of 27 acupoints such as Dinghui acupoint of Mongolian medicine was compiled by the Unity database language.The Mongolian gold needle and silver needle were selected to record the acupuncture point teaching video on the 3D printed head and neck resin model of children.In Unity3D software,children's anatomical model,acupoint annotation information database and acupuncture operation video were integrated and coded,and a 3D digital children's Mongolian acupuncture acupoint visualization system integrating simulation acupuncture training,clinical teaching and acupuncture safety research was successfully created. RESULTS AND CONCLUSION:This study was based on real children's specimens.In order to reduce the error of two-dimensional segmentation,the manual layer-by-layer segmentation section image method was used to ensure the accuracy of the 3D model to the greatest extent.The Digihuman Reconstruction System was used to extract and save the individual segmentation data while maximizing the accuracy of the 3D model.PhotoShop.2021 software was used to complete the 3D reconstruction of the outer skin of the head and neck of children and the internal bony structure,cervical spinal cord,blood vessels and nerves,muscles and ligaments.After 3D reconstruction,the basic morphology of each independent structure and the integrity of the overall contour were verified in MeshLab software and the final fine adjustment and anatomical position confirmation were conducted using 3-matic research 13.0 software.The real anatomical morphology of the head and neck of preschool children was successfully simulated and restored.Unity3D software was used to integrate the 3D model of children,acupuncture operation video and acupoint annotation database,and the 3D digital Mongolian acupuncture acupoint visualization system for children was successfully constructed.Based on the real continuous fault ultra-thin dataset of preschool boys in China,China's first 3D digitization and visualization system of acupuncture points in the head and neck of children in Mongolian medicine was developed.Compared with the previous acupuncture soft works,this system is more suitable for the anatomical morphological development characteristics of Asian children,and has a high value of application in the fields of research on the safety of acupuncture in Mongolian medicine,clinical teaching and acupuncture simulation training.