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.

ObjectiveTo conduct comprehensive assessment of internal and external cadmium exposure and health risks for Shanghai residents. MethodsCadmium levels in food samples were calculated by employing two dietary exposure assessment methods， total diet study （TDS） and food frequency questionnaire （FFQ）， to estimate the daily dietary cadmium exposure of Shanghai residents. The provisional tolerable monthly intake （PTMI） of cadmium set by joint food and agriculture organization/WHO expert committee on food additives （JECFA） was applied to evaluate the health risk. Differences in dietary and urinary cadmium were compared by rank-sum test among different regions， age， gender， smoking status， and BMI groups， and the association between internal and external cadmium exposure was investigated by correlation analysis. ResultsThe mean value of urinary cadmium for 1 300 respondents was 0.542 μg·L^-1. Urinary cadmium was higher in the population in central urban and urban-rural fringe areas than in the suburban area， higher in the older age group than in the younger age group， and higher in the smoking group than in the non-smoking group （all P<0.01）. The two assessment methods showed that the mean values of daily dietary cadmium exposure for Shanghai residents were 0.306 and 0.090 μg·kg^-1， with 3.69% and 0.85% of Shanghai residents exceeding the PTMI， respectively. Correlation analyses showed that dietary exposure to cadmium based on the FFQ method was positively correlated with the urinary cadmium level when smoking status， age， gender， and BMI were adjusted. ConclusionDietary exposure to cadmium of Shanghai residents is mainly derived from vegetables， aquatic products， cereals and potatoes， and is overall at a low-risk level. Dietary exposure assessment based on FFQ and risk monitoring data can effectively estimate long-term cadmium exposure.

Objective This study aimed to explore the differences in global and local brain network topological properties between deficient pattern(DP)and excess pattern(EP)of mild vascular cognitive impairment caused by subcortical small vessel disease based on graph theory network.Methods Patients were recruited prospectively and were classified with DP and EP subtype.The global small-world topological attributes and local nodes were calculated for the comparison of DP,EP,and healthy controls(CN)using the GRETNA platform.Results The three groups all had small-world attributes,but only the patients in EP had a significantly lower small world attribute δ in the range of 0.05-0.26 than the control group(P<0.05).The node efficiency and node strength indicators of multiple brain region were able to significantly distinguish the DP group from the EP group.However,there was no positive brain region in the node efficiency of the DP patients(P>0.05),and only a few brain regions showed increased node strength efficiency(P<0.05).Conclusion The results indicate that the syndrome of DP and EP have significantly different neuroimaging phenotypes,providing a basis for further research of biological classification based on Chinese Medicine syndromes.

Objective To observe the effect of multi-modal hand hygiene(HH)intervention on HH compliance,as well as the relationship between HH compliance and the healthcare-associated(HA)case infection incidence.Methods From 2014 to 2022,the infection control team in a tertiary first-class hospital implemented multi-modal HH intervention for health care workers(HCWs).The changing trend of HH monitoring data,the correlation be-tween HH compliance rate and HA case infection incidence were analyzed retrospectively.Results The consump-tion of HH products in the wards showed a stable upward trend;HH compliance rate increased from 64.98％in 2014 to 85.01％in 2022(P＜0.001),and HA case infection incidence decreased from 1.21％to 0.83％(P＜0.05).HH compliance rate was negatively correlated with HA case infection incidence(r=-0.369,P=0.027).HH compliance rates in different regions and job posts in each quarter were increased(P＜0.001).For 5 different HH moments in each quarter,HH compliance rate fluctuated slightly before sterile manipulation and after touching patient;presented rising trend after touching surroundings around patient,and decreased before touching patient and after touching patient's body fluid since 2020(P＜0.001).Conclusion Multi-modal HH intervention can im-prove the HH compliance of HCWs,improving their HH awareness is conducive to reducing HA case infection incidence.

AIM To study the phenylethanoid glycosides from Verbenae Herba.METHODS The 80%ethanol extract from Verbenae Herba was isolated and purified by silica gel,Sephadex LH-20,TLC and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULTS Nine compounds were isolated and identified as verbofficoside A(1),cistanoside D(2),epimeredinoside A(3),verbascoside(4),isoverbascoside(5),cistanoside C(6),cistanoside F(7),decaffeoylacteoside(8),jionoside C(9).CONCLUSION Compound 1 is a new compound.Compounds 3 and 6-9 are isolated from this plant for the first time.

Objective To explore the characteristics of TCM prescriptions for acute gouty arthritis based on data mining methods;To provide reference for clinical treatment.Methods The clinical literature on the TCM treatment of acute gouty arthritis was retrieved from CNKI,Wanfang Data,VIP and SinoMed.The obtained formulas were input into Excel 2019 to establish a database,and SPSS Modeler 18.0,SPSS Statistics 26.0 and Cytoscape 3.9.1 were used for frequency analysis,association rule analysis,clustering analysis and factor analysis.Results A total of 290 articles meeting the requirements were included,including 295 prescriptions,involving 218 kinds of Chinese materia medica,with a total frequency of 3 573 times.24 kinds of Chinese materia medica,including Coicis Semen,Phellodendri Chinensis Cortex,Atractylodis Rhizoma,Smilacis Glabrae Rhizoma,Dioscoreae Spongiosae Rhizoma,Glycyrrhizae Radix et Rhizoma,Achyranthis Bidentatae Radix were used frequently in the treatment of acute gouty arthritis.The commonly used drugs were heat-clearing drugs,moisture-clearing drugs,blood circulation-activating drugs for removing blood stasis,and wind-dampness drugs.The property was mainly cold,the taste was mainly bitter,and the meridians were mainly liver,stomach,spleen and kidney meridians.The analysis of high-frequency drug association rules obtained 22 drug combinations,among which the core drug pairs were Phellodendri Chinensis Cortex-Atractylodis Rhizoma,Coicis Semen-Atractylodis Rhizoma-Phellodendri Chinensis Cortex.Clustering analysis obtained 4 clustering methods,and factor analysis obtained 9 common factors.Conclusion The main treatment of acute gouty arthritis by TCM is clearing heat and dampness,removing blood stasis and clearing collaterals,tonifying liver and kidney,regulating spleen and stomach,which could provide reference for the clinical treatment of acute gouty arthritis.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To investigate the efficacy and adverse reactions of whole-lung low-dose radiotherapy (LDRT) in patients with severe/critical coronavirus disease 2019 (COVID-19).Methods:Eight patients with severe/critical COVID-19 treated in the Jiangyin Hospital Affiliated to Nantong University from January to June 2023 who were treated with whole-lung LDRT after deteriorating or failing to improve post-medical treatment were enrolled in this single-arm phase I clinical trial. They received anterior-posterior penetrating radiation in a supine or prone position, with a total dose range from 0.5 to 1.5 Gy and a dose weight ratio of 1∶1. The oxygenation status, inflammatory markers, and imaging changes before and after radiotherapy were analyzed, and patients were followed up for acute radiation-induced adverse reactions.Results:One week after LDRT, the SaO 2/FiO 2 or PaO 2/FiO 2 indices increased in seven patients (87.5%), inflammatory markers such as C-reactive protein (CRP) and interleukin-6 (IL-6) decreased in seven patients (87.5%), and chest CT/chest radiographs revealed a significant reduction in the extent of pneumonia involvement in 5 patients (62.5%). No evident acute radiation-related adverse reactions were observed. Conclusions:Whole-lung LDRT with a dose range from 0.5 to 1.5 Gy can reduce inflammatory markers, improve clinical symptoms, and promote inflammatory absorption in patients with severe/critical COVID-19 who responded poorly to medical treatment while not inducing acute adverse reactions.

Further evidence is needed to explore the impact of high-altitude environments on the neurologic function of neonates.Non-invasive techniques such as cerebral near-infrared spectroscopy and amplitude-integrated electroencephalography can provide data on cerebral oxygenation and brain electrical activity.This study will conduct multiple cerebral near-infrared spectroscopy and amplitude-integrated electroencephalography monitoring sessions at various time points within the first 3 days postpartum for healthy full-term neonates at different altitudes.The obtained data on cerebral oxygenation and brain electrical activity will be compared between different altitudes,and corresponding reference ranges will be established.The study involves 6 participating centers in the Chinese High Altitude Neonatal Medicine Alliance,with altitude gradients divided into 4 categories:800 m,1 900 m,2 400 m,and 3 500 m,with an anticipated sample size of 170 neonates per altitude gradient.This multicenter prospective cohort study aims to provide evidence supporting the impact of high-altitude environments on early brain function and metabolism in neonates.[Chinese Journal of Contemporary Pediatrics,2024,26(4):403-409]

Objective:To analyze the clinical symptoms and epidemiological characteristics of patients with tsutsugamushi disease (TD) in Utica County, Shiyan City, providing reference for scientific prevention and control of TD.Methods:The information of 57 TD patients admitted to the Department of Infectious Diseases of the People's Hospital of Utica County in Shiyan City from January to December 2022 was collected, including age, gender, occupation, clinical manifestations (tarsus or chigger, high fever, rash and accompanying syndromes), laboratory and imaging test results, and field work and travel history. Blood samples and body crusts were collected, and enzyme-linked immunosorbent assay (ELISA) and polymerase chain reaction (PCR) were used to detect antibodies against Orientia tsugamushi (Ot-Ab-IgM) and Orientia tsutsugamushi (Ot). The scores of each patient were calculated using the TD Diagnostic Scale. A score of ≥8.5 was considered a clinical diagnosis of TD. According to the number of system functional damages (0, 1, 2, ≥3), 57 patients were divided into 4 groups, A, B, C, and D, TD was analyzed for system functional damages of each system.Results:Among the 57 TD patients, 26 (45.61%) were male and 31 (54.39%) were female, and the proportion of patients aged 40 - 79 years was 92.98% (53/57); farmers accounted for 89.47% (51/57). May was the peak of TD incidence, with 19 cases, which accounted for 33.33% (19/57) of the total number of patients affected that year. Fifty-four patients had a history of fieldwork or field trips before the onset of the disease. The incidence of high fever in 57 TD patients was 100.00%(57/57), the detection rate of body scorch or chiggers was 80.70% (46/57), and the incidence rate of rash was 98.25% (56/57); the incidence rate of tsutsugamushi disease triad (accompanied by scabs, high fever, and rash) was 80.70% (46/57); the incidence of eosinophil decline was 100.00%(57/57), and 77.19% (44/57) of TD patients experienced multiple-system functional damage (MSFD). The TD score diagnostic scale for 57 patients ranged from 8.5 to 10.5 points. After being hospitalized for 1 - 5 days, all TD patients experienced a decrease in body temperature to the normal range, and the damage to various systems functional gradually recovered.Conclusions:TD has become one of the most common natural infectious diseases in Utopia County, Shiyan City, Hubei Province. The patients are mainly middle-aged and elderly people, and the triple syndrome is a typical clinical manifestation. Asymptomatic injuries to the blood system, liver and kidneys are the most common.