The European Society of Cardiology (ESC) released the "2024 ESC guidelines for the management of elevated blood pressure and hypertension" on August 30, 2024. This guideline updates the 2018 "Guidelines for the management of arterial hypertension." One notable update is the introduction of the concept of "elevated blood pressure" (120-139/70-89 mm Hg). Additionally, a new systolic blood pressure target range of 120-129 mm Hg has been proposed for most patients receiving antihypertensive treatment. The guideline also includes numerous additions or revisions in areas such as non-pharmacological interventions and device-based treatments for hypertension. This article interprets the guideline's recommendations on definition and classification of elevated blood pressure and hypertension, and cardiovascular disease risk assessment, diagnosing hypertension and investigating underlying causes, preventing and treating elevated blood pressure and hypertension. We provide a comparison interpretation with the 2018 "Guidelines for the management of arterial hypertension" and the "2017 ACC/AHA guideline on the prevention, detection, evaluation, and management of high blood pressure in adults."

This paper systematically summarizes the practical experience of the 2025 Dingri earthquake emergency medical rescue in Tibet. It analyzes the requirements for earthquake medical rescue under conditions of high-altitude hypoxia, low temperature, and low air pressure. The paper provides a detailed discussion on the strategic layout of earthquake medical rescue at the national level, local government level, and through social participation. It covers the construction of rescue organizational systems, technical systems, material support systems, and information systems. The importance of building rescue teams is emphasized. In high-altitude and cold conditions, rapid response, scientific decision-making, and multi-party collaboration are identified as key elements to enhance rescue efficiency. By optimizing rescue organizational structures, strengthening the development of new equipment, and promoting telemedicine technologies, the precision and effectiveness of medical rescue can be significantly improved, providing important references for future similar disaster rescues.

Objective: To systematically evaluate the relationship of exposure to five heavy metals, namely lead, arsenic, cadmium, mercury and aluminum with obesity in children and adolescents, so as to provide a scientific basis for subsequent research in the area. Methods: Four Chinese databasesc (CBM, VIP, CNKI and Wanfang) and four foreign databases (OVID, PubMed, Web of Science and EBSCO), were searched to collect relevant studies, and the search period was from the establishment of the database to May 5, 2024. After 2 investigators independently screened the literature, extracted the data and evaluated the risk of bias of the included studies, the results were analyzed quantitatively and summarized qualitatively. Results: A total of 5 cohort studies on lead exposure and 17 cross sectional studies involving exposure to lead ( n =13), cadmium ( n =8), mercury ( n =8), arsenic ( n =4), and aluminum ( n =1) were included. Meta analysis of the 2 cohort studies showed that lead exposure was not associated with the risk of overweight and obesity in children ( RR=0.76, 95%CI=0.50-1.16, P ＞0.05). The cross sectional study Meta-analysis results showed that lead exposure was negatively associated with the risk of childhood overweight ( OR=0.70, 95%CI =0.59-0.84, 2 studies) and obesity ( OR=0.71, 95%CI =0.58-0.87, 3 studies); cadmium exposure was negatively associated with the risk of childhood overweight ( OR=0.83, 95%CI =0.73-0.95, 2 studies) and obesity risk( OR=0.70, 95%CI =0.63-0.78, 3 studies); mercury exposure increased the risk of overweight/obesity ( OR=1.42, 95%CI =1.14-1.76, 2 studies) and abdominal obesity ( OR= 1.99, 95%CI =1.45-2.73, 2 studies) in children; the group with the highest concentration of arsenic in urine had a lower risk of developing obesity compared to the group with the lowest concentration ( OR=0.39, 95%CI =0.23-0.65, 1 study), and the group with the highest concentration of aluminum in urine had a lower risk of obesity compared with the group with the lowest concentration ( OR=0.52, 95%CI =0.31-0.86, 1 study)(all P <0.05). Conclusion Heavy metal exposure may be a risk factor for overweight and obesity in children and adolescents, but the conclusions are inconsistent and need to be validated in further high quality prospective cohort studies.

Objective: To systematically evaluate the association between maternal adverse childhood experiences (ACEs) and offspring social behavior, so as to provide a theoretical basis for further research on intergenerational social behavioral development. Methods: Relevant research literature about maternal ACEs and the development of children s maladaptive social behaviors were collected, from China National Knowledge Infrastructure (CNKI), VIP, Wanfang, SinoMed, PubMed, Web of Science, Cochrane Library, Embase and SpringLink databases, covering the period from the inception of each database to May 2025. The Chinese database matched and searched through three groups of keywords: "Pregnant women" "Mothers" and "Women"; "Bad childhood experience" "Bad early experience" and "Bad adolescent experience"; "Children" "Teenagers" "Children s behavior" "Children s development" "Teenagers behavior" "Internalized behavior" and "Externalized behavior". The English database was searched by three groups of keywords: "Female" "Pregnant women" "Mothers"; "Adverse childhood experiences" "Adverse early childhood experiences" "Adverse experiences of adolescent"; "Child behavior" "Child development" "Adolescent behavior" "Internalized behaviors" "Externalized behaviors". The selected literature was evaluated for quality and data extraction, with OR and 95% CI as effect indicators. Stata 16.0 software was used for heterogeneity testing, subgroup analysis, and publication bias analysis. Results: A total of 14 studies involving 64 302 mother-child pairs were included. The Meta analysis results showed a significant correlation between maternal ACEs and both offspring maladaptive internalized behaviors ( OR=1.75, 95%CI=1.42-2.15, P <0.01) and externalized behaviors ( OR=1.82, 95%CI=1.51-2.20, P <0.01). The results of subgroup analyses showed that in different regions[internalized behaviors:domestic, foreign OR (95% CI )=2.03(1.49-2.76), 1.55(1.19-2.03); externalized behaviors: domestic, foreign OR (95% CI )=2.41(1.52-3.82), 1.65(1.36-2.01)], study type[internalized behaviors: cohort study, cross sectional study OR (95% CI )=1.64(1.34-2.00), 1.85(1.30-2.65); externalized behaviors: cohort study, cross sectional study OR (95% CI )=1.76(1.46-2.12), 2.12(1.40-3.20)], sample size [internalized behaviors: ≥4 000, <4 000 pairs OR (95% CI )=1.69(1.13-2.55), 1.77( 1.41 -2.24); externalized behaviors: ≥3 000, <3 000 pairs OR (95% CI )=1.72(1.37-2.17), 2.13(1.44-3.15)], there were significant and positive association between mothers ACEs and children s internalizing and externalizing behaviors (all P <0.05). Conclusion A substantial positive association exists between maternal ACEs and the development of offspring maladaptive internalized and externalized behaviors, but the result needs to be continued to be validated by more research.

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 investigate the clinical effect of 3D computed tomography bronchial bronchography and angiography (3D-CTBA) and guidance of thoracoscopic anatomic pulmonary segmentectomy by Mimics software system. Methods    A retrospective analysis was performed on patients who underwent thoracoscopic segmentectomy in the Department of Thoracic Surgery of Affiliated People's Hospital of Jiangsu University from June 2020 to December 2022. The patients who underwent preoperative 3D-CTBA using Materiaise's interactive medical image control system (Mimics) were selected as an observation group, and the patients who did not receive 3D-CTBA were selected as a control group. The relevant clinical indicators were compared between the two groups. Results    A total of 59 patients were included, including 29 males and 30 females, aged 25-79 years. There were 37 patients in the observation group, and 22 patients in the control group. The operation time (163.0±48.7 min vs. 188.8±43.0 min, P=0.044), intraoperative blood loss [10.0 (10.0, 20.0) mL vs. 20.0 (20.0, 35.0) mL, P<0.001], and preoperative puncture localization rate (5.4% vs. 31.8%, P=0.019) in the observation group were better than those in the control group. There was no statistically significant difference in the thoracic tube placement time, thoracic fluid drainage volume, number of intraoperative closure nail bin, postoperative hospital stay, or postoperative air leakage incidence (P>0.05) between the two groups. Conclusion    For patients who need to undergo anatomical pulmonary segmentectomy, using Mimics software to produce 3D-CTBA before surgery can help accurately identify pulmonary arteriovenous anatomy, reduce surgical time and intraoperative blood loss, help to determine the location of nodules and reduce invasive localization before surgery, and alleviate patients' pain, which is worthy of clinical promotion.

Hepatocellular carcinoma (HCC) is one of the most common malignancies and is a major cause of cancer-related mortalities worldwide (Forner et al., 2018; He et al., 2023). Sarcopenia is a syndrome characterized by an accelerated loss of skeletal muscle (SM) mass that may be age-related or the result of malnutrition in cancer patients (Cruz-Jentoft and Sayer, 2019). Preoperative sarcopenia in HCC patients treated with hepatectomy or liver transplantation is an independent risk factor for poor survival (Voron et al., 2015; van Vugt et al., 2016). Previous studies have used various criteria to define sarcopenia, including muscle area and density. However, the lack of standardized diagnostic methods for sarcopenia limits their clinical use. In 2018, the European Working Group on Sarcopenia in Older People (EWGSOP) renewed a consensus on the definition of sarcopenia: low muscle strength, loss of muscle quantity, and poor physical performance (Cruz-Jentoft et al., 2019). Radiological imaging-based measurement of muscle quantity or mass is most commonly used to evaluate the degree of sarcopenia. The gold standard is to measure the SM and/or psoas muscle (PM) area using abdominal computed tomography (CT) at the third lumbar vertebra (L3), as it is linearly correlated to whole-body SM mass (van Vugt et al., 2016). According to a "North American Expert Opinion Statement on Sarcopenia," SM index (SMI) is the preferred measure of sarcopenia (Carey et al., 2019). The variability between morphometric muscle indexes revealed that they have different clinical relevance and are generally not applicable to broader populations (Esser et al., 2019).
Humans ; Aged ; Sarcopenia/diagnostic imaging* ; Carcinoma, Hepatocellular/diagnostic imaging* ; Muscle, Skeletal/diagnostic imaging* ; Deep Learning ; Prognosis ; Radiomics ; Liver Neoplasms/diagnostic imaging* ; Retrospective Studies