The American Heart Association (AHA) and the American College of Cardiology (ACC), in collaboration with multiple professional organizations, jointly released the "Guideline for the Prevention, Detection, Evaluation and Management of High Blood Pressure in Adults" in August 2025. Based on the latest evidence-based medical findings from February 2015 to January 2025, the guideline proposes an individualized treatment strategy grounded in total cardiovascular disease risk stratification, incorporates the novel PREVENT risk assessment model, lowers the medication initiation threshold and control targets for high-risk populations, and provides specific management recommendations for special populations. This article provides an interpretation of these updates and conducts a comparative analysis with the current status of hypertension prevention and treatment in China as well as Chinese guidelines, aiming to offer reference for hypertension control practices in China.

The American Heart Association (AHA) officially released the "2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association" on January 27, 2025. This report systematically compiles the latest statistics on major cardiovascular diseases worldwide, while simultaneously integrating relevant outcome indicators, including quality of care, procedures, and economic costs, and updating the global prevalence patterns and evolving trends of diverse risk factors impacting cardiovascular health, providing essential guidance for the prevention, diagnosis, and treatment of cardiovascular diseases. Synthesizing insights from this pivotal report and other relevant studies, this article highlights key findings concerning the global prevalence and mortality of heart diseases, associated risk factors, and emerging diagnostic and therapeutic technologies.

BACKGROUND:Patellar tendonitis can present as tendon degeneration that fails to heal due to tissue overload and incomplete recovery.Patellar tendonitis is a predisposition to high jumping and its pathogenesis has not been clearly defined.OBJECTIVE:To explore the stress-strain relationship of patellar tendon in the take-off technique of high jump through the finite element model with accurate human anatomical structure,so as to provide ideas for the prevention and rehabilitation of patellar tendinitis.METHODS:Based on the CT and MRI imaging data of the lower extremity(including the knee and ankle)of one subject(22 years old,183 cm height,70 kg body mass),a three-dimensional finite element model of the lower extremity was reconstructed using medical imaging software,reverse engineering software and modeling software.The plantar pressure of the take-off leg was collected in eight subjects by gait testing system,and the technical action of high jump take-off was collected by motion capture system.The captured data were imported into human sports biomechanics software for analysis,and kinematic and kinetic data were obtained as the boundary conditions of finite element model for finite element simulation analysis.RESULTS AND CONCLUSION:The force borne by the patellar tendon reached 3.29 times of its own body mass when the subjects took off.In the take-off stage,the peak values of normal equivalent stress,strain and shear stress of the patellar tendon were 127.76 MPa,0.81 and 37.69 MPa,respectively,which were in the nonlinear region of the stress-strain curve,and the peak values were distributed in the proximal and posterior parts of patellar tendon.To conclude,the high patellar tendon force,strain and shear stress caused by the load of 3.29 times its own body mass during take-off are related to the induction of patellar tendinitis.

BACKGROUND:Patellar tendonitis can present as tendon degeneration that fails to heal due to tissue overload and incomplete recovery.Patellar tendonitis is a predisposition to high jumping and its pathogenesis has not been clearly defined.OBJECTIVE:To explore the stress-strain relationship of patellar tendon in the take-off technique of high jump through the finite element model with accurate human anatomical structure,so as to provide ideas for the prevention and rehabilitation of patellar tendinitis.METHODS:Based on the CT and MRI imaging data of the lower extremity(including the knee and ankle)of one subject(22 years old,183 cm height,70 kg body mass),a three-dimensional finite element model of the lower extremity was reconstructed using medical imaging software,reverse engineering software and modeling software.The plantar pressure of the take-off leg was collected in eight subjects by gait testing system,and the technical action of high jump take-off was collected by motion capture system.The captured data were imported into human sports biomechanics software for analysis,and kinematic and kinetic data were obtained as the boundary conditions of finite element model for finite element simulation analysis.RESULTS AND CONCLUSION:The force borne by the patellar tendon reached 3.29 times of its own body mass when the subjects took off.In the take-off stage,the peak values of normal equivalent stress,strain and shear stress of the patellar tendon were 127.76 MPa,0.81 and 37.69 MPa,respectively,which were in the nonlinear region of the stress-strain curve,and the peak values were distributed in the proximal and posterior parts of patellar tendon.To conclude,the high patellar tendon force,strain and shear stress caused by the load of 3.29 times its own body mass during take-off are related to the induction of patellar tendinitis.

Objective To explore a feasible simplified premedication protocol for preventing hypersensitivity reactions to taxanes. Methods The electronic medical record system was used to search for data from 49 patients with advanced gastric cancer who received paclitaxel liposome treatment for the first time in the gastroenterology department of Shanghai Changhai Hospital from 2021-06-01 to 2024-06-30, including premedication protocols, allergic reactions, and other adverse reactions. Results Among 31 patients, the premedication regimen included oral dexamethasone 9 mg at 12 h and 6 h prior to liposomal paclitaxel, plus oral loratadine 10 mg and oral ranitidine 150 mg at 12 h prior to treatment. Among 18 patients, the regimen included oral dexamethasone 9 mg at 12 h and 6 h prior to treatment, and oral loratadine 10 mg at 12 h prior to treatment. None of the patients experienced allergic reactions. The incidence of other adverse reactions did not differ significantly between the two groups（P>0.05）. Conclusion Based on literature and practice, a dual simplified premedication protocol of oral corticosteroids（GC）combined with oral H1 receptor blockers（H1RA）was proposed, which provided a new idea for doctors. Further clinical studies are needed to verify its effectiveness.

Objective To explore a feasible simplified premedication protocol for preventing hypersensitivity reactions to taxanes. Methods The electronic medical record system was used to search for data from 49 patients with advanced gastric cancer who received paclitaxel liposome treatment for the first time in the gastroenterology department of Shanghai Changhai Hospital from 2021-06-01 to 2024-06-30, including premedication protocols, allergic reactions, and other adverse reactions. Results Among 31 patients, the premedication regimen included oral dexamethasone 9 mg at 12 h and 6 h prior to liposomal paclitaxel, plus oral loratadine 10 mg and oral ranitidine 150 mg at 12 h prior to treatment. Among 18 patients, the regimen included oral dexamethasone 9 mg at 12 h and 6 h prior to treatment, and oral loratadine 10 mg at 12 h prior to treatment. None of the patients experienced allergic reactions. The incidence of other adverse reactions did not differ significantly between the two groups（P>0.05）. Conclusion Based on literature and practice, a dual simplified premedication protocol of oral corticosteroids（GC）combined with oral H1 receptor blockers（H1RA）was proposed, which provided a new idea for doctors. Further clinical studies are needed to verify its effectiveness.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Effective symptom management can alleviate the physical and psychological distress experienced by patients with cancer, improve quality of life, and contribute to treatment adherence and improve clinical outcomes. However, most existing guidelines are developed for healthcare professionals, and patients and the public have limited access to standardized and comprehensible guidance on symptom management. To address this gap and to facilitate effective communication and shared decision-making, this study proposes the development of a patient version of the cancer symptom management guideline. The development process will adhere to the methodological framework recommended by the Guidelines International Network and the World Health Organization. The GRADE approach will be employed to assess the certainty of evidence and to formulate recommendations. In addition, the process will be informed by the Appraisal of Guidelines for Research and Evaluation Ⅱ (AGREE Ⅱ) instrument and the Reporting Items for Practice Guidelines in Healthcare-Public or Patient Versions of Guidelines (RIGHT-PVG). This protocol outlines the establishment of the guideline working group, the identification and prioritization of key questions, evidence retrieval and appraisal, and the formulation of recommendations, with the aim of ensuring methodological rigor and transparency in the development of the patient guideline and providing methodological reference for similar guideline initiatives.

Objective:To investigate the relationship between the Palatopharyngeal Arch Staging System（PASS） and the severity of Obstructive Sleep Apnea（OSA）, as well as the patterns of airway collapse, while further assessing its clinical applicability. Methods:A total of 98 patients diagnosed with OSA at the Department of Otorhinolaryngology Head and Neck Surgery, Shenzhen University Affiliated Shenzhen Hospital, were recruited for this study. Data collected included basic demographic information, oropharyngeal laryngoscopy videos, results from awake laryngoscopy Muller tests, and indicators from sleep respiratory monitoring. The distribution of each PASS stage among patients with varying severities of OSA was compared. Additionally, both objective and subjective sleep indicators along with occurrences of airway collapse in OSA patients across different PASS stages were analyzed. Results:In total, 98 patients participated in this study. Statistically significant differences were observed in neck circumference, weight, Body Mass Index（BMI）, tongue position, and PASS stage when comparing mild-to-moderate OSA patients to those with severe OSA（P<0.05）. Furthermore, there were statistically significant variations in Apnea-Hypopnea Index（AHI）, minimum blood oxygen saturation levels, average blood oxygen saturation levels, oxygen desaturation index values, and total oxygen desaturation indices among OSA patients categorized by different PASS stages. Multiple comparisons revealed statistically significant differences in AHI as well as minimum and average blood oxygen saturation levels between patients at PASS 1 versus those at PASS 3（P<0.05）. Additionally, notable differences regarding oropharyngeal collapse rates among OSA patients across various PASS stages were identified; specifically between those at PASS stage 1 and those at PASS stage 3. Conclusion:The proportion of PASS stages for OSA varies across different severity levels. The severity of OSA and the degree of airway collapse in patients with varying PASS stages also exhibit significant differences. Patients classified as PASS 3 demonstrate a more severe form of OSA compared to those at PASS 1, with stage 3 being more susceptible to oropharyngeal collapse than its stage 1 counterpart. This assessment system is anticipated to address the current limitations in evaluating the lateral pharyngeal wall within the oropharynx.
Humans ; Sleep Apnea, Obstructive/pathology* ; Male ; Severity of Illness Index ; Female ; Middle Aged ; Polysomnography ; Adult ; Pharynx/physiopathology* ; Aged

Cyclin-dependent kinase 9 (CDK9) is a member of the transcription CDK subfamily and plays a role in transcriptional regulation. Selective CDK9 degraders possess potent clinical advantages over reversible CDK9 inhibitors. Herein, we report the first ATG101-recruiting selective CDK9 degrader, AZ-9, based on the hydrophobic tag kinesin degradation technology. AZ-9 showed significant degradation effects and selectivity toward other homologous cell cycle CDKs in vitro and in vivo, which could also affect downstream related phenotypes. Mechanism research revealed that AZ-9 recruits ATG101 to initiate the autophagy-lysosome pathway, and forms autophagosomes through the recruitment of LC3, which then fuses with lysosomes to degrade CDK9 and the partner protein Cyclin T1. These dates validated the existence of non-proteasomal degradation pathway of hydrophobic driven protein degradation strategy for the first time, which might provide research ideas for chemical induction intervention on other types of pathogenic proteins.