Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

Aim To investigate the mechanism by which formononetin (FN) inhibits mitochondrial dynamic-related protein 1 (DRP1) -NLRP3 axis via intervening the generation of ROS to reduce allergic airway inflammation. Methods In order to establish allergic asthma mouse model, 50 BALB/c mice aged 8 weeks were divided into the control group, model group, FN treatment group and dexamethasone group after ovalbumin (OVA) induction. Airway inflammation and collagen deposition were detected by HampE and Masson staining. Th2 cytokines and superoxide dismutase (SOD), catalase (CAT), malondialdehyde (MDA), and IgE levels in bronchoalveolar lavage fluid (BALF) were measured by ELISA, ROS in BEAS-2B cells was assessed by DCFH-DA staining, DRP1 expression in lung tissue and BEAS-2B cells was detected by immunohistochemistry and immunofluorescence, and the DRP1-NLRP3 pathway was analyzed by immunoblotting. Results FN treatment could effectively ameliorate the symptoms of asthmatic mouse model, including reducing eosinophil accumulation, airway collagen deposition, decreasing Th2 cytokine and IgE levels, reducing ROS and MDA production, increasing SOD and CAT activities, and regulating DRP1-NLRP3 pathway-related protein expression, thereby relieving inflammation. Conclusion FN ameliorates airway inflammation in asthma by regulating DRP1-NLRP3 pathway.

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.

Diabetic cardiomyopathy(DCM)is a complication of diabetes mellitus.It is characterized by abnormal myocardial cells leading to diastolic and systolic dysfunction,which can eventually lead to heart failure,impair the health of diabetic patients and worsen the poor prognosis.Studies indicated that mitochondrion directly participated in occurrence and development of DCM,involving glucose and lipid metabolic regulation,calcium homeostasis main-tenance,reactive oxygen species(ROS)level and oxidative stress etc.,whose normal functioning is necessary for human health.Mitochondrial dysfunction is closely associated with occurrence and development of DCM.The pres-ent article makes a review on mitochondrial structure and physiological function,dynamics and dysfunction,and role of mitochondrial dysfunction in DCM,and explore new targets for the prevention and treatment of DCM.

Human respiratory syncytial virus (HRSV) can infect individuals of all ages, with children under five years old, the elderly, and immunocompromised persons as the main high-risk groups. Although older children and adults often exhibit mild or no symptoms, they may still be potential carriers of the virus. Therefore, employing efficient, accurate, and rapid detection methods to timely identify infection sources and quickly halt transmission is an important means to curb the potential spread of the epidemic. However, the clinical manifestations of HRSV infection are difficult to distinguish from acute respiratory infections caused by other respiratory viruses, and the identification relies on the results of pathogen testing. This article summarizes four commonly used detection methods for HRSV based on detection principles: antigen detection, nucleic acid testing, antibody detection, and virus isolation. The advantages, disadvantages, principles, and applicable scenarios of these four methods are summarized and compared. Furthermore, the research progress and prospects of HRSV detection methods are reviewed.

Objective:To establish and validate a gallstones classification method based on deep learning.Methods:A total of 618 gallstones samples were collected from East Hospital Affiliated to Tongji University, and 1 023 high-definition cross-sectional gallstones profile images were captured to construct a cross-sectional gallstones profile image dataset. Based on the traditional eight-category gallstones classification method, a lightweight network model, MobileNet V3, was trained using deep learning and transfer learning methods. The classification performance of MobileNet was evaluated using a confusion matrix with metrics such as accuracy rate, precision rate, F1 score, and recall rate. The MobileNet V3 was improved and further validated using accuracy and loss values.Results:The accuracy rate (94.17%), precision rate (94.03%), F1 score (92.96%) and recall rate (92.99%) of the improved MobileNet V3 model were better than other networks. The improved MobileNet V3 model achieved the highest accuracy rate (94.17%) in gallstones profile classification and was validated by the test set. The confusion matrix showed a weighted average of accuracy rate (92.0%), precision rate (92.6%), and F1 score (92.2%) for each category of gallstones.Conclusions:Based on deep learning, a high-accuracy gallstones classification method is proposed, which provides a new idea for the intelligent identification of gallstones.

Objective To analyse the acupoint selection rules of acupuncture in the treatment of non-small cell lung cancer,and to provide reference for clinical application.Methods The clinical research,practitioner's experience and academic thought of acupuncture treatment for non-small cell lung cancer were retrieved to obtain the acupuncture prescriptions of modern practitioners for the treatment of non-small cell lung cancer.Based on the statistical methods of acupoint frequency,prescription rules,acupoint clustering and core combination,the core theoretical system and acupoint selection rules of acupuncture treatment of non-small cell lung cancer by modern practitioner were analyzed.Results According to the inclusion and exclusion criteria,94 acupuncture prescriptions were finally included.There were eight acupoints used more than 20 times,which were Zusanli(ST36),Neiguan(PC6),Feishu(BL13),Sanyinjiao(SP6),Qihai(RN6),Guanyuan(RN4),Hegu(LI4)and Zhongwan(RN12).The top three high-frequency acupoint combinations were Zusanli-Neiguan,Zusanli-Sanyinjiao and Qihai-Zusanli;correlation analysis showed that the correlation strength of Zusanli-Neiguan was the highest,followed by Zusanli-Sanyinjiao and Zusanli-Hegu.The cluster analysis showed that the acupoints with frequency＞10 times could be divided into three categories.Category 1 includes:Zusanli,Neiguan,Sanyinjiao,Hegu;category 2 includes Guanyuan,Qihai,Zhongwan,Xuehai(SP10),Taichong(LR3);category 3 consists of two parts,one is Danzhong(RN17),Tiantu(RN22),Fenglong(ST40),Taiyuan(LU9);the second is Feishu(BL13),Lieque(LU7),Chize(LU5),Zhongfu(LU1),Xinshu(BL15),Gaohuang(BL43),Fengmen(BL12).Conclusion The core acupoints for acupuncture treatment of non-small cell lung cancer include four categories:① invigorating the spleen and benefiting qi:Zusanli,Sanyinjiao,Zhongwan and Fenglong;②replenishing and supplementing original qi:Guanyuan,Qihai and Gaohuang;③regulating qi and broadening the chest:Danzhong,Neiguan,Tiantu and Fengmen;④ diffusing the lung and ventilating qi:Feishu,Hegu,Chize and Lieque.The three treatment methods of replenishing qi,regulating qi and venting pathogen are the basis of acupuncture treatment of advanced non-small cell lung cancer.The core idea of acupuncture treatment of non-small cell lung cancer focuses on supplementation,supplemented by dredging,and to dredge and supplement simultaneously.

Officers and soldiers exposed to high temperature and high-humidity environments are highly susceptible to exertional heat illness and even heatstroke.Reports indicated that after conventional treatment,the heat endurance damage in officers/soldiers with exertional heat illness can persist for months or even years.Therefore,the Expert Group of Heatstroke Prevention and Treatment of Heatstroke of Chinese PLA has specially formulated a technical proposal for the reconstruction of heat endurance in officers/soldiers suffering from exertional heatstroke,aiming to provide a safeguard for reconstruction of heat endurance in affected personnel.This article mainly elaborates on the basic concepts,technical requirements,initiation timing,implementation assessment,and follow-up of the heat endurance reconstruction for officers/soldiers with exertional heatstroke.

Human respiratory syncytial virus (HRSV) can infect individuals of all ages, with children under five years old, the elderly, and immunocompromised persons as the main high-risk groups. Although older children and adults often exhibit mild or no symptoms, they may still be potential carriers of the virus. Therefore, employing efficient, accurate, and rapid detection methods to timely identify infection sources and quickly halt transmission is an important means to curb the potential spread of the epidemic. However, the clinical manifestations of HRSV infection are difficult to distinguish from acute respiratory infections caused by other respiratory viruses, and the identification relies on the results of pathogen testing. This article summarizes four commonly used detection methods for HRSV based on detection principles: antigen detection, nucleic acid testing, antibody detection, and virus isolation. The advantages, disadvantages, principles, and applicable scenarios of these four methods are summarized and compared. Furthermore, the research progress and prospects of HRSV detection methods are reviewed.

Objective To explore the distribution of traditional Chinese medicine(TCM)syndrome elements in patients with multi-drug resistant bacteria-infected pneumonia.Methods Clinical data of 126 patients with multi-drug resistant bacteria-infected pneumonia admitted to the intensive care unit of Lung Disease Centre of Qingdao Hospital of Traditional Chinese Medicine from May 2020 to July 2022 were retrospectively collected.The clinical data included the patients'gender,age,underlying diseases,history of bad additions of smoking and alcohol,multi-drug resistant bacteria,and the information of four diagnostic methods of TCM,etc.The disease-nature syndrome elements in patients with drug-resistance to various strains of drug-resistant bacteria were extracted,and then deficiency-excess syndrome differentiation was carried out.Results(1)A total of 201 strains of multi-drug resistant bacteria were detected in 126 patients with multi-drug resistant bacterial pneumonia.The main pathogenic species were Gram-negative bacteria,and the proportion accounted for 95.52%(192/201),which was significantly higher than that of Gram-positive bacteria[4.48%(9/201)],with a statistically significant difference(χ2 = 166.612,P＜0.001).Klebsiella pneumoniae accounted for the highest percentage of 23.38%in the gram-negative bacterium.(2)A total of 12 syndrome elements were extracted from the 126 patients.The excess syndrome elements were predominated by phlegm and heat,and the deficiency syndrome elements were predominated by yin deficiency.There was no statistically significant difference in the distribution of yin deficiency,blood deficiency,heat,phlegm,fluid-retention and damp syndrome elements among patients with different strains of drug-resistant bacterial infection(P＞0.05).(3)Of the 126 patients,62 cases(49.21%)had simple excess syndrome,one case(0.79%)had simple deficiency syndrome,and 63 cases(50.00%)had concurrent deficiency-excess syndrome.Among the 126 patients,there were 19 cases of single syndrome element,41 cases of concurrent two-syndrome element,49 cases of concurrent three-syndrome element,16 cases of concurrent four-syndrome element,and one case of concurrent five-syndrome element.And the combined syndrome element of phlegm-heat-yin deficiency occurred most frequently for 26 times.Conclusion Gram-negative bacteria are the primary infectious pathogens for the patients with multi-drug resistant bacterial infections,and the TCM syndrome elements of the patients are characterized by the concurrence of deficiency and excess and simple excess syndrome,mainly manifesting as phlegm,heat,and yin deficiency.