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.

Due to the difference between the system of weights and measures， and the dosage of clinical prescriptions of traditional Chinese medicine in various historical periods， the dosage and conversion standard of prescriptions in past dynasties are different. Therefore， when discounting the dosage of famous classical formulas， the principles of inheriting the essence， making the past serve the present， linking the past and the present， and forming a consensus should be followed， firstly， the dosage of the prescription was converted according to the weights and measures system of the past dynasties. If the converted dosage significantly exceeds the provisions of the 2020 edition of Chinese Pharmacopoeia， then on the premise of ensuring that the proportion of the original prescription drug dosage remains unchanged， the conversion shall be based on expert consensus and drug safety evaluation. For drugs measured in non-standard units， a conversion range is provided based on comprehensive literature analysis and physical measurements. For the conversion of service volume， the original text was used as the basis for the conversion with reference to the measurement standards of different eras. If the original dosage is not clear， the converted dosage will be determined based on the historical evolution of the formula， referring to relevant ancient books， and combining modern applications. Eventually， the converting standard for famous classical formulas was determined as follows：during the Han and Tang dynasties， one Liang（两） was equivalent to 13.8 g and one Sheng（升） was equivalent to 200 mL， in the Tang dynasty， one Fen（分） was equivalent to 3.45 g， during the Song， Jin and Yuan dynasties， one Qian（钱） was equivalent to 4.13 g and one Zhan（盏） was equivalent to 300 mL， during the Ming and Qing dynasties， one Qian（钱） was equivalent to 3.73 g， and one Bei（杯） and one Zhong（盅） were equivalent to 200 mL. For drugs recorded in non-standard units of measurement， it is necessary to conduct actual measurements to determine their conversion standards based on comprehensive analysis to determine their origin. If necessary， different records of the dosage of drugs with the same or similar efficacy and indications in medical books of similar ages can be used to assist in determining the conversion standards. The analysis of the principle of dosage conversion for Chinese medicine is helpful for the clinical application and development of famous classical formulas.

Objective To evaluate the characteristics of different antigen-specific T cell immune responses to severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)after inoculation with 2 doses of SARS-CoV-2 inactivated vaccine for 12 months.Methods Fifteen healthy adults were enrolled in this study and blood samples collected at 12 months after receiving two doses of SARS-CoV-2 inactivated vaccine.The level and phenotypic characteristics of SARS-CoV-2 antigen-specific T lymphocytes were detected by activation-induced markers(AIM)based on polychromatic flow cytometry.Results After 12 months of inoculation with 2 doses of SARS-CoV-2 inactivated vaccine,more than 90%of adults had detectable Spike and Non-spike antigen-specific CD4+ T cells immune responses(Spike:14/15,P=0.0001;Non-spike:15/15,P<0.0001).80%of adults had detectable Spike and Non-spike antigen-specific CD8+ T cells immune responses(Spike:12/15,P=0.0463;Non-spike:12/15,P=0.0806).Antigen-specific CD4+ T cells induced by SARS-CoV-2 inactivated vaccination after 12 months were composed of predominantly central memory(CM)and effector memory 1(EM1)cells.On the other hand,in terms of helper subsets,antigen-specific CD4+ T cells mainly showed T helper 1/17(Th1/17)and T helper 2(Th2)phenotypes.Conclusions SARS-CoV-2 inactivated vaccination generates durable and extensive antigen-specific CD4+ T cell memory responses,which may be the key factor for the low proportion of severe coronavirus disease 2019(COVID-19)infection in China.

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

Objective:To understand the use of post-exposure prophylaxis (PEP) and analyze related factors among men who have sex with men (MSM) in Qingdao, and provide a reference for the AIDS prevention and control in this population.Methods:A cross-sectional survey conducted from April 2022 to February 2023. Relying on MSM social groups in Qingdao, a snowball sampling method was applied to recruit research subjects who met the inclusion criteria of age ≥18 years old, having had homosexual anal or oral sex in the past six months, and HIV-negative or infection status unknown. The sample size was estimated at 566. Data on demographic characteristics, sexual behavior characteristics, PEP use, and others of the research subjects was collected through on-site questionnaires. The logistic regression model was used to analyze the factors associated with using PEP.Results:A total of 811 participants were recruited, mainly aged 25-34 (53.6%, 435/811), unmarried (74.7%, 606/811), with an average monthly income of ≥5 000 yuan (52.2%, 423/811), and having lived in Qingdao for ≥10 years (75.6%, 613/811). The proportion of those who knew the HIV status of their sexual partners in the last six months was 67.1% (544/811), and those with HIV-positive partners were 3.6% (29/811). In the last six months, the proportion of participants who had group sex (86.4%, 701/811), unprotected anal sex (98.2%, 796/811), and use of club drugs (80.3%, 651/811) was high. Moreover, 28.4% (230/811) had used PEP. The multivariate logistic regression analysis showed that the factors related to the use of PEP included divorced or widowed (a OR=5.46,95% CI:1.96-15.17), average monthly income ≥5 000 yuan (a OR=2.04,95% CI:1.44-2.89), same-sex sexual orientation (a OR=0.40,95% CI:0.22-0.71), having HIV-positive sexual partners in the last six months (a OR=2.54,95% CI:1.13-5.71) and having been tested for HIV ≥3 times in the last six months (a OR=1.46,95% CI:1.04-2.06). Conclusions:The prevalence of risk behaviors among MSM in Qingdao was high, and the use of PEP was low. In the future, it is essential to increase HIV/AIDS prevention education among MSM, promote MSM to know the HIV status of their sexual partners, and reduce the prevalence of risk behaviors among this population. Additionally, explore medical insurance reimbursement plans for PEP to reduce utilization costs and promote the use of PEP by MSM after HIV exposure occurs as soon as possible.

Objective:Differences between randomized controlled trial (RCT) results and real world study (RWS) results may not represent a true efficacy-effectiveness gap because efficacy-effectiveness gap estimates may be biased when RWS and RCT differ significantly in study design or when there is bias in RWS result estimation. Secondly, when there is an efficacy- effectiveness gap, it should not treat every patient the same way but assess the real-world factors influencing the intervention's effectiveness and identify the subgroup likely to achieve the desired effect.Methods:Six databases (PubMed, Embase, Web of Science, CNKI, Wanfang Data, and VIP) were searched up to 31 st December 2022 with detailed search strategies. A scoping review method was used to integrate and qualitatively describe the included literature inductively. Results:Ten articles were included to discuss how to use the RCT research protocol as a template to develop the corresponding RWS research protocol. Moreover, based on correctly estimating the efficacy-effectiveness gap, evaluate the intervention effect in the patient subgroup to confirm the subgroup that can achieve the expected benefit-risk ratio to bridge the efficacy-effectiveness gap.Conclusion:Using real-world data to simulate key features of randomized controlled clinical trial study design can improve the authenticity and effectiveness of study results and bridge the efficacy-effectiveness gap.

Objective:Randomized controlled trials (RCT) usually have strict implementation criteria. The included subjects' characteristics of the conditions for the intervention implementation are quite different from the actual clinical environment, resulting in discrepancies between the risk-benefit of interventions in actual clinical use and the risk-benefit shown in RCT. Therefore, some methods are needed to enhance the extrapolation of RCT results to evaluate the real effects of drugs in real people and clinical practice settings.Methods:Six databases (PubMed, Embase, Web of Science, CNKI, Wanfang Data, and VIP) were searched up to 31 st December 2022 with detailed search strategies. A scoping review method was used to integrate and qualitatively describe the included literature inductively. Results:A total of 12 articles were included. Three methods in the included literature focused on: ①improving the design of traditional RCT to increase population representation; ②combining RCT Data with real-world data (RWD) for analysis;③calibrating RCT results according to real-world patient characteristics.Conclusions:Improving the design of RCT to enhance the population representation can improve the extrapolation of the results of RCT. Combining RCT data with RWD can give full play to the advantages of data from different sources; the results of the RCT were calibrated against real-world population characteristics so that the effects of interventions in real-world patient populations can be predicted.

The dosage， dose and administration method of decoctions are important factors affecting the efficacy of prescriptions. By analyzing 35 decoction formulas from the Ming and Qing dynasties within the Catalogue of Ancient Classic Famous Formulas （First Batch）， it was found that the average dosage was equivalent to about 65 g， of which 71.4% （25/35） of the prescriptions had a dosage ≤60 g. And among them， the dosage of decoctions in the Ming dynasty was significantly smaller than that in the Qing dynasty. Considering the characteristics of formulas in Song dynasty， it is believed that decoctions in Ming and Qing dynasties were influenced by the popular use of decoctions during the Song， Jin， and Yuan dynasties. Some decoctions recorded a dosage of one dose instead of one day， which was more evident in the Ming dynasty. However， by the Qing dynasty， the usage of prescriptions with a dosage of one day gradually became more common. Therefore， in the practical research and application of classic famous formulas from the Ming and Qing dynasties， it is advised to pay attention to the difference between the dosage， one dose and the daily dosage. It is necessary to determine whether to double the dosage of the original formula based on the actual use， in order to ensure the clinical efficacy.

[Objective]To explore the diagnostic value of conventional ultrasound combined with shear wave elastography (SWE) for sarcopenia in patients with chronic kidney disease (CKD).[Methods]The study included 94 CKD patients (34 with sarcopenia and 60 without). All patient underwent the Simplified Assessment Rating Questionnaire (SARC-CalF),Mini Nutritional Assessment (MNA),Short Physical Performance Battery (SPPB),grip strength test,bioelectrical impedance analysis (BIA),conventional muscle ultrasound and SWE of the thighs. We then compared the differences in indicators between the sarcopenia group and non-sarcopenia group,used Spearman correlation analysis to assess the relationship between the two examinations (conventional ultrasound and SWE) and other clinical indicators,identified the diagnostic markers for sarcopenia,created receiver operating characteristic (ROC) curves,calculated the area under the curve (AUC) and determined the diagnostic performance of conventional ultrasound,SWE and their combination. Binary logistic regression was used to analyze the influencing factors of sarcopenia in CKD patients and a combined diagnosis model was established.[Results]The sarcopenia group showed lower upper arm circumference,calf circumference,6-meter walking speed and handgrip strength than non-sarcopenia group,and the differences were statistically significant (P<0.05). The sarcopenia group exhibited lower SARC-CalF and SPBB scores,as well as more compromised nutritional status. Statistically significant differences were observed in the ultrasound parameters between the two groups,including thickness of the subcutaneous fat and rectus femoris,combined thickness of the rectus femoris and vastus intermedius,rectus femoris cross-sectional area,elastic modulus of the rectus femoris and vastus medialis (all P<0.05). The muscle mass index had a moderate positive correlation with muscle thickness and cross-sectional area of the rectus femoris (0.3

Objective To observe the value of nomogram model based on clinical and ultrasonic characteristics for diagnosing lymphoma.Methods Data of 176 patients with suspected lymphoma due to enlarged superficial lymph nodes were retrospective analyzed.The patients were divided into lymphoma group(n=90,invasive subgroup[n=40]and non-invasive subgroup[n=50])or non-lymphoma group(n=86)based on pathological results.Clinical and ultrasonic data were compared between groups and subgroups.Multivariate logistic regression was used to screen the independent risk factors of lymphoma,and then a nomogram was constructed.Receiver operating characteristic curves were drawn to evaluate the efficacy of conventional ultrasound,conventional contrast-enhanced ultrasound(C-CEUS),high-frame-rate contrast-enhanced ultrasound(H-CEUS)and nomogram for diagnosing lymphoma.Results Multivariate logistic regression analysis revealed that age＞59 years,cortical stripe/reticular hyperecho of lymph nodes and"centrifugal firework"enhancement pattern showed with H-CEUS were all independent risk factors of lymphoma(all P＜0.05).Taken 59 years as the best cut-off value of patients'age,the sensitivity,specificity,accuracy and the area under the curve(AUC)for diagnosing lymphoma was 67.78%,58.10%,63.06%and 0.630,respectively.The sensitivity,specificity,accuracy and AUC of cortical stripe/reticular hyperecho of lymph nodes for diagnosing lymphoma was 73.33%,58.10%,65.91%and 0.657,respectively,while of"centrifugal firework"pattern enhancement in H-CEUS was 77.78%,69.80%,73.86%and 0.738,respectively.AUC of conventional ultrasound,C-CEUS,H-CEUS and nomogram for diagnosing lymphoma was 0.657,0.540,0.738 and 0.844,respectively.Conclusion Nomogram model based on clinical and ultrasonic characteristics had good diagnostic efficacy for lymphoma,and"centrifugal firework"pattern enhancement in H-CEUS could be regarded as the specific characteristic of lymphoma.