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.

Objective To investigate the diagnostic value of 62-slice spiral CT and its post-processing techniques for tibial plateau fracture(TPF)and its influence on treatment regimens selection.Methods A total of 173 TPF patients diagnosed and treated in our hospital from January 2021 to December 2022 were included,and the diagnostic accuracy,classification diagostic accuracy and fracture collapse degree accuracy of X-ray and CT scans were compared,with surgical and pathological diagnosis as the gold standard.Results CT and its post-processing technique can more clearly show the direction of fracture line,the displacement direction of fracture fragments and the collapse degree of articular surface than X-ray.The fracture morphology of 171 patients seen during the operation was consistent with CT and its post-processing images.The diagnostic accuracy of X-ray for TPF was 93.64%,which was lower than that of CT and its post-processing techniques(98.84% ),and the difference was statistically significant(χ2=6.474,P=0.011).The overall accuracy of X-ray in evaluating the degree of fracture collapse was significantly lower than that of CT 3D reconstruction(65.32% vs.90.75%;χ2=32.644,P<0.001).The total accuracy of CT and its post-processing techniques for TPF Schatzker classification(97.69% )was higher than that of X-ray(88.44% ),and the difference was statistically significant(χ2=11.462,P=0.001).Different CT reconstruction models had statistically significant difference on the total accuracy of TPF Schatzker classification diagnosis(χ2=40.647,P<0.001),and the diagnosis accuracy of volume reconstruction was the highest(96.53% ).Conclusion The application of CT and its post-processing techniques can effectively evaluate TPF,articular surface collapse and fracture classification,and provide imaging reference for clinical decision-making.

Objective To explore the effect of CircCSNK1G1 on the proliferation,apoptosis and migration of gastric cancer(GC)cells by regulating the miR-381-3p/S kinase-related protein 2(Skp2)axis.Methods HGC-27 cells were divided into non transfected group,si-NC group,si-CircCSNK1G1 group,si-CircCSNK1 G1+anti-miR-NC group,and si-CircCSNK1G1+anti-miR-381-3p group.The expressions of CircCSNK1G1,miR-381-3p and Skp2 mRNA in GC tumor tissues and GC cell lines were detected by qRT-PCR respectively;cell proliferation was detected by MTT assay;the number of cell clones was detected by clonogenic assay;apoptosis was detected by flow cytometry;cell migration and invasion ability were determined by transwell;the expression of E-cadherin and Vimentin was detected by Western Blot;and the targeting relationship among CircCSNK1G1,miR-381-3p and Skp2 was verified by double luciferase experiment.Results Compared with GES-1 in normal tissues adjacent to cancer and normal human gastric mucosal epithelial cells,the expression of CircCSNK1 G1 and Skp2 mRNA in GC tumor tissues and GC cell lines is high,and the expression of miR-381-3p is low(P＜0.05),and the expression level of miR-381-3p in HGC-27 cells is the lowest,and the expression level of CircCSNK1G1 and Skp2 mRNA is the highest,therefore,HGC-27 cells were selected and CircCSNK1G1 was knocked down for the experiment.Compared with untransfected group and si-CircCSNK1G1-NC group,transfection of si-CircCSNK1G1 could reduce the expression of CircCSNK1G1,Skp2 mRNA,cell proliferation activity,cell migration number,and the expression of Vimentin protein in HGC-27 cells(P＜0.05),the expression of miR-381-3p,apoptosis rate,and the expression of E-cadherin protein were increased(P＜0.05).The double luciferase experiment verified that CircCSNK1G1 and Skp2 had a targeting relationship with miR-381-3p,moreover,CircCSNK1G1 could be used as sponge RNA of miR-381-3p to further regulate the expression and activity of Skp2.Conclusion Knockdown of CircCSNK1G1 can target up-regulate the expression of miR-381-3p,and inhibit the expression of Skp2,thus promoting the apoptosis of GC cells,and inhibiting their proliferation and migration.

Objective To design a portable intelligent cleaner for medical lumen instruments to enhance cleaning efficiency.Methods The portable intelligent cleaner had a box-body shape and a shell made of 304 stainless steel,which was composed of a circuit control board,a micro pump,lithium batteries,a charging interface,a rinse tube and connectors.The circuit control board used a STM32G030C8T6 integraged circuit,which was equipped with a countdown digital tube to display the time left for cleaning;the micro pump and lithium batteries were placed at the inner wall of the box bottom,the charging interface and water inlet/outlet inteface were put on the outside of the front wall of the box bottom,the water inlet/outlet interface was connected with a silicon rinse tube linked to an adapter at its distal end,and the adapters with different calibers were compatible with sizes of medical lumen instruments.Totally 9 672 pieces of lumen instruments received by some hospital's disinfection supply center from May to October 2021 were divided into 2 groups with the convenience sampling method,with 4 836 pieces in each group.The odd-numbered instruments were enrolled into a control group and cleaned with an ultrasonic cleaner and a lumen brush,and the even-numbered instruments were included into an experimental group and cleaned conventionally after pretreatment by the intelligent cleaner.The two groups were compared in terms of eaning efficiency and satisfaction.Results Testing by visual inspection,magnifying glass with light source and white stripe method showed that the experimental group behaved better than the control group in the cleaning qualification rate,whose satisfaction rate(100％)was also higher than that of the control group(86.53％),with all the differences being statistically significant(P＜0.05).Conclusion The portable cleaner with easy operation enhances the cleaning quality and efficiency for medical lumen instruments.[Chinese Medical Equipment Journal,2024,45(10):114-117]

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Objective To investigate the nutritional status of children with Crohn's Disease (CD) at diagnosis and its association with clinical characteristics. Methods A retrospective analysis was performed for the clinical data and nutritional status of 118 children with CD who were admitted to Beijing Children's Hospital,Capital Medical University,from January 2016 to January 2024. A multivariate logistic regression analysis was used to investigate the risk factors for malnutrition. Results A total of 118 children with CD were included,among whom there were 68 boys (57.6％) and 50 girls (42.4％),with a mean age of (11±4) years. Clinical symptoms mainly included recurrent abdominal pain (73.7％,87/118),diarrhea (37.3％,44/118),and hematochezia (32.2％,38/118),and 63.6％ (75/118) of the children had weight loss at diagnosis. The incidence rate of malnutrition was 63.6％ (75/118),and the children with moderate or severe malnutrition accounted for 67％ (50/75). There were 50 children (42.4％) with emaciation,8 (6.8％) with growth retardation,and 9 (7.6％) with overweight or obesity. Measurement of nutritional indices showed a reduction in serum albumin in 83 children (70.3％),anemia in 74 children (62.7％),and a reduction in 25 hydroxyvitamin D in 15 children (60％,15/25). The children with malnutrition had significantly higher disease activity,proportion of children with intestinal stenosis,and erythrocyte sedimentation rate and a significant reduction in serum albumin (P<0.05). The multivariate logistic regression analysis showed that intestinal stenosis was an independent risk factor for malnutrition in children with CD (OR=4.416,P<0.05). Conclusions There is a high incidence rate of malnutrition in children with CD at diagnosis,which is associated with disease activity and disease behavior. The nutritional status of children with CD should be closely monitored.

italic>Schisandra chinensis is a traditional Chinese medicine with the functions of reinforcing deficiency, strengthening, and inducing astringency, appliable to treat the chronic cough and deficiency in breath, palpitation, and insomnia, etc. A hybrid mass spectrometry scanning strategy (high-definition data-independent/data-dependent acquisition, HDDIDDA), enabling the ion mobility separation and alternating data-independent acquisition/data-dependent acquisition, was established, which, in combination with in-house library-driven automatic peak annotation workflows facilitated by the UNIFI software, was utilized to systematically characterize the multi-classes of chemical components from S. chinensis. The use of an HSS T3 column (100 mm × 2.1 mm, 1.8 μm), 0.1% formic acid in H₂O-acetonitrile as the mobile phase running at the flow rate of 0.3 mL·min^-1, and column temperature at 35 ℃, could enable good separation of the S. chinensis components within 42 min. HDDIDDA scan in both the positive and negative ion modes was employed for data acquisition. Based on the automatic peak annotation, reference standards comparison, MS² data interpretation, and literature analysis, we were able to identify or tentatively characterize 105 compounds in the S. chinensis decoction, involving 56 terpenoids, 42 lignans, five glycosides, one organic acid, and one flavonoid. HDDIDDA scanning can improve the coverage of data acquisition and improve the accuracy of identification, while CCS prediction analysis provides the possibility to distinguish isomers by the ion mobility technology. The results provide reference for the intelligent material basis research of TCM.

italic>Lamiophlomis rotata is an important medicinal plant species endemic to the Tibetan Plateau, which is prone to strong climate change impacts on its habitable range due to the high sensitivity of the Tibetan Plateau to climate change. Accurate quantification of species vulnerability to climate change is essential for assessing species extinction risk and developing effective conservation strategies. Therefore, we carried out the α-shape analysis to determine the habitat of L. rotata. We then carried out the climate-niche factor analysis (CNFA) to assess the vulnerability of L. rotata to climate change based on five climate variables (i.e., mean diurnal range, temperature seasonality, mean temperature of warmest quarter, precipitation of driest month and precipitation of warmest quarter) in the context of two shared socioeconomic pathways (i.e., SSP126 and SSP585) and three global climate models (CMCC-ESM2: Centro Euro-Mediterraneo sui Cambiamenti Climatici-Earth System Model version 2; HadGEM3-GC31-LL: Hadley Global Environment Model version 3-Global Coupled configuration 3.1; IPSL-CM6A-LR: Institut Pierre Simon Laplace-Climate Model version 6) during two different periods (2041-2060 and 2081-2100). The vulnerability of L. rotata to climate change was calculated by integrating the sensitivity and exposure indices of L. rotata to five climate variables. The results showed that L. rotata had the highest vulnerability to the precipitation of warmest quarter. Its vulnerability within its habitat range generally showed a spatial pattern of high value in the southern region and low in the northern region, high in the western region and low in the eastern region. In general, the vulnerability of L. rotata under the SSP585 scenario was higher than that under the SSP126 scenario. The climate data of different global climate models have some influence on the results, while the resulted uncertainty can be reduced by data integration methods. As a result of climate change, the pressure on the survival of L. rotata in the future will be intensified in the low-altitude areas such as the Yarlung Zangbo River, Yigongzangbu River, Zayu River, and Jiaomuzu River, etc., while the highly weathered scree flats or stony alpine meadows in the high-altitude zones, such as the eastern Tanggula Mountain Range, the northern part of Hengduan Mountain Range, and the western part of the Qinling Mountains, may become its refuge. It is necessary to focus on and strengthen the protection and management of L. rotata resources in these vulnerble and critical areas.

Objective:To analyze epidemiological characteristics and spatiotemporal clustering of hepatitis A in China from 2005 to 2023.Methods:The incidence data of hepatitis A in China during 2005-2023 were collected from the China Disease Control and Prevention Information System .Results:From 2005 to 2023, a total of 605 509 cases of hepatitis A were reported in China. The average annual reported incidence rate was 2.32/100 000, the incidence was 2.85/100 000 in men and 1.81/100 000 in women, and the incidence was 3.25/100 000 in age group 0-14 years, 2.10/100 000 in age group 15-64 years and 2.49/100 000 in age group ≥65 years , respectively. The case count in farmers was highest (40.57%, 245 639/605 509). The proportion of the cases in jobless or the unemployed increased most obviously (347.32%), and the proportion of the cases in students decreased most significantly (90.27%). The average annual reported incidence rate in the western China was highest (4.45/100 000), followed by that in northeastern China (2.02/100 000), central China (1.89/100 000) and eastern China (1.16/100 000). From 2020 to 2023, the incidence of hepatitis A showed no spatial clustering. From 2005 to 2019, the obvious hot spots and high-high clustering areas mainly distributed in provinces, such as, Sichuan, Qinghai, Xinjiang, Xizang and Gansu. The low-low clustering areas were mainly distributed in Beijing, Tianjin, Hebei, Shandong, Jiangsu, Shanghai, Zhejiang, Fujian, Henan, Anhui, Jiangxi, Jilin and Liaoning. An independent high-low clustering was found in Shanxi during 2014-2019. A total of 5 high incidence clustering areas were detected through spatiotemporal scanning analysis.Conclusions:The incidence rate of hepatitis A in China declined significantly from 2005 to 2023. The reported incidence rate in the elderly showed no obvious decrease, and the reported cases accounted for the highest proportion in the whole population. Before 2020, the reported incidence rate of hepatitis A showed high-high clustering in western China, the spatiotemporal clustering disappeared from 2020 to 2023, but the reported incidence rate of hepatitis A in western China was still high. It is suggested to pay attention to the prevention and control of hepatitis A in populations at high risk and areas with high incidence of hepatitis A.