[Objective]To explore the practical basis,significance and development direction of the coexistence of numerous acupuncture therapies.[Methods]By combining the formation of acupuncture theory,the analysis of the integration of modern medicine and the analysis of the application of characteristic needles,the background factors and practical significance of the coexistence of numerous acupuncture therapies are discussed and analyzed from four dimensions:different structures of acupuncture,the collaborative development of modern medicine,the application of characteristic needles and the promotion of microneedle therapy.[Results]The coexistence of numerous acupuncture therapies is the product of the deep extension of the basic acupuncture theory,the unity of contradiction and the combination of exploration.Modern anatomy and basic research also play a synergistic role.A variety of needle characteristic therapy has expanded the clinical application.Different characteristics of microneedle therapy and disease concepts also affect the choice of clinical acupuncture therapy.[Conclusion]Numerous acupuncture therapies are widely used in clinical practice,which is the product of in-depth exploration of traditional theory,continuous integration with modern scientific development and theoretical research.It is bound to encourage the development of TCM acupuncture,make the theoretical research of acupuncture more in-depth,the advantages of each therapy clearer,and even promote the emergence of more effective new therapies.

Cardiovascular disease and cancer are the two leading chronic conditions contributing to global mortality. With the rising incidence of cancer, the prevalence of cancer therapy-related cardiovascular complications has also increased, driving the development of the emerging field of cardio-oncology. The advancement of precision medicine offers new opportunities for the individualized and targeted management of cardiovascular toxicities associated with cancer treatment. Artificial intelligence (AI) has the potential to overcome traditional limitations in medical data integration, dynamic monitoring, and interdisciplinary collaboration, thereby accelerating the application of precision medicine in cardio-oncology. By enabling personalized treatment and reducing cardiovascular complications in cancer patients, AI serves as a critical tool in this domain. This article provides an in-depth interpretation of the 鈥淎rtificial intelligence to enhance precision medicine in cardio-oncology: a scientific statement from the American Heart Association鈥?aiming to inform the integration of AI into precision medicine in China. The goal is to promote its application in the management of cardiovascular diseases related to cancer therapy and to achieve precision management in this context.

The European Society of Cardiology (ESC) released the "2024 ESC guidelines for the management of elevated blood pressure and hypertension" on August 30, 2024. This guideline updates the 2018 "Guidelines for the management of arterial hypertension." One notable update is the introduction of the concept of "elevated blood pressure" (120-139/70-89 mm Hg). Additionally, a new systolic blood pressure target range of 120-129 mm Hg has been proposed for most patients receiving antihypertensive treatment. The guideline also includes numerous additions or revisions in areas such as non-pharmacological interventions and device-based treatments for hypertension. This article interprets the guideline's recommendations on definition and classification of elevated blood pressure and hypertension, and cardiovascular disease risk assessment, diagnosing hypertension and investigating underlying causes, preventing and treating elevated blood pressure and hypertension. We provide a comparison interpretation with the 2018 "Guidelines for the management of arterial hypertension" and the "2017 ACC/AHA guideline on the prevention, detection, evaluation, and management of high blood pressure in adults."

Objective To analyze the serum high-density lipoprotein 3 subtype cholesterol(HDL3-C)levels in patients with ischemic stroke(IS)and explore its clinical value in evaluating the condition and prognosis.Methods A total of 124 patients with IS and 47 healthy controls admitted to the Department of Neurology of the General Hospital of the Eastern Theater Command were continuously se-lected from January to June 2023.The serum samples of IS patients at admission and healthy controls were collected respectively,and the levels of HDL3-C,total cholesterol(TC),triglyceride(TG),high-density lipoprotein cholesterol(HDL-C),low-density lipopro-tein cholesterol(LDL-C),blood glucose(Glu),albumin(Alb),interleukin 6(IL-6)and procalcitonin(PCT)were measured.The National Institutes of Health Stroke Scale(NIHSS)score at admission,modified Rankin Scale(MRS)score at discharge,and Barthel index of the IS patients were calculated.All the IS patients were followed up for 1 year.The time of sequelae caused by stroke,and re-currence of acute cerebrovascular events were recorded in detail.Spearman's correlation analysis was used to explore the correlation be-tween HDL3-C levels and other clinical events and biochemical parameters in the IS patients.Logistic regression analysis was used to analyze the clinical value of serum HDL3-C levels in evaluating the presence of IS.Cox regression analysis was used to analyze the clin-ical value of serum HDL3-C levels in assessing the prognosis of patients with IS.Results Compared with controls,the levels of HDL3-C,HDL-C and Alb of the patients with IS decreased significantly,but the levels of TG and Glu of the IS patients increased sig-nificantly(all P＜0.05).The level of serum HDL3-C in patients with IS was significantly positively correlated with TC(r=0.231,P=0.003),HDL-C(r=0.831,P＜0.001),Alb(r=0.451,P＜0.001)and Barthel index at discharge(r=0.216,P=0.018),while it was significantly negatively correlated with the levels of TG(r=-0.396,P＜0.001),IL-6(r=-0.290,P=0.013),NIHSS at admis-sion(r=-0.187,P=0.041)and MRS at discharge(r=-0.227,P=0.012).Multivariate Logistic regression analyses showed that the decreased level of serum HDL3-C was still independently related to the presence of IS(OR=0.853,95％CI=0.740-0.984,P=0.030)after adjusting for the fectors of age,sex,TC,TG,HDL-C and LDL-C.Multivariate Cox regression analyses demonstrates that the de-creased level of serum HDL3-C was still independently related to the poor prognosis of IS patients(HR=0.710,95％CI=0.517-0.976,P=0.035)after adjusting for the fectors of age,sex,TC,TG,HDL-C and LDL-C.Conclusion The level of serum HDL3-C in pa-tients with IS decreased significantly,and it is independently correlated with poor prognosis.The level of HDL3-C has reference value in evaluating the condition and prognosis of the patients with IS.

Objective To investigate the value of multimodal model integrating digital mammography(MG)and MRI radiomics features for preoperative prediction of lymphovascular invasion(LVI)status in breast cancer.Methods The clinical and imaging data from 336 patients with pathologically confirmed invasive breast cancer were retrospectively analyzed and randomly divided into a training group(235 cases)and a test group(101 cases)according to the ratio of 7∶3.Feature dimensionality reduction was carried out by Pearson correlation analysis followed by least absolute shrinkage and selection operator(LASSO)regression.Radiomics models were constructed based on MG craniocaudal(CC),dynamic contrast enhancement(DCE),T2 WI,and integrated MRI sequences;a multimodal model was further developed by incorporating clinical high-risk factors.The predictive efficiency of each model was evaluated by plotting receiver operating characteristic(ROC)curve.Results The ROC curve analysis showed that the multimodal model performed the best predictive efficiency,with area under the curve(AUC)of 0.989 and 0.861,accuracy of 0.949 and 0.782,sensitivity of 0.923 and 0.828,and specificity of 0.962 and 0.764 in the training group and test group respectively.Conclusion The multimodal model,integrating MG and MRI radiomics features,show optimal performance and can be served as a preoperative prediction of LVI status in breast cancer.

In recent years,the global consumption of ultra-processed foods(UPFs)has increased.UPFs are classified as the fourth group of food in the NOVA classification system:industrially formulated foods made entirely or mostly from substances extracted from foods(oils,fats,sugar,starch,proteins,etc),derivatives of food constituents(hydrogenated fats,modified starches,etc),or multiple food additives.Common manufacturing techniques include extrusion,moulding,and pre-frying.As high-energy-density foods,UPFs are typically characterized by high levels of sugar,fat,and salt,and low levels of dietary fiber,protein,vitamins,and minerals,resulting in low nutrient density.Studies have shown that a high intake of UPFs increases the risk of various chronic diseases.Nutrition during pregnancy is a crucial factor influencing pregnancy outcomes,and balanced and adequate nutrient intake is essential for the health of both the mother and child.Given that UPFs have limited nutritional density,high intake during pregnancy may be detrimental to maternal and infant health.However,the impact of consuming UPFs during pregnancy on maternal and infant health is not extensively studied.This article reviews the literature on the effects of UPFs on pregnancy outcomes,aiming to provide a foundation for further research and personalized dietary guidance.

Objective To investigate the value of multimodal model integrating digital mammography(MG)and MRI radiomics features for preoperative prediction of lymphovascular invasion(LVI)status in breast cancer.Methods The clinical and imaging data from 336 patients with pathologically confirmed invasive breast cancer were retrospectively analyzed and randomly divided into a training group(235 cases)and a test group(101 cases)according to the ratio of 7∶3.Feature dimensionality reduction was carried out by Pearson correlation analysis followed by least absolute shrinkage and selection operator(LASSO)regression.Radiomics models were constructed based on MG craniocaudal(CC),dynamic contrast enhancement(DCE),T2 WI,and integrated MRI sequences;a multimodal model was further developed by incorporating clinical high-risk factors.The predictive efficiency of each model was evaluated by plotting receiver operating characteristic(ROC)curve.Results The ROC curve analysis showed that the multimodal model performed the best predictive efficiency,with area under the curve(AUC)of 0.989 and 0.861,accuracy of 0.949 and 0.782,sensitivity of 0.923 and 0.828,and specificity of 0.962 and 0.764 in the training group and test group respectively.Conclusion The multimodal model,integrating MG and MRI radiomics features,show optimal performance and can be served as a preoperative prediction of LVI status in breast cancer.

Objective To analyze the serum high-density lipoprotein 3 subtype cholesterol(HDL3-C)levels in patients with ischemic stroke(IS)and explore its clinical value in evaluating the condition and prognosis.Methods A total of 124 patients with IS and 47 healthy controls admitted to the Department of Neurology of the General Hospital of the Eastern Theater Command were continuously se-lected from January to June 2023.The serum samples of IS patients at admission and healthy controls were collected respectively,and the levels of HDL3-C,total cholesterol(TC),triglyceride(TG),high-density lipoprotein cholesterol(HDL-C),low-density lipopro-tein cholesterol(LDL-C),blood glucose(Glu),albumin(Alb),interleukin 6(IL-6)and procalcitonin(PCT)were measured.The National Institutes of Health Stroke Scale(NIHSS)score at admission,modified Rankin Scale(MRS)score at discharge,and Barthel index of the IS patients were calculated.All the IS patients were followed up for 1 year.The time of sequelae caused by stroke,and re-currence of acute cerebrovascular events were recorded in detail.Spearman's correlation analysis was used to explore the correlation be-tween HDL3-C levels and other clinical events and biochemical parameters in the IS patients.Logistic regression analysis was used to analyze the clinical value of serum HDL3-C levels in evaluating the presence of IS.Cox regression analysis was used to analyze the clin-ical value of serum HDL3-C levels in assessing the prognosis of patients with IS.Results Compared with controls,the levels of HDL3-C,HDL-C and Alb of the patients with IS decreased significantly,but the levels of TG and Glu of the IS patients increased sig-nificantly(all P＜0.05).The level of serum HDL3-C in patients with IS was significantly positively correlated with TC(r=0.231,P=0.003),HDL-C(r=0.831,P＜0.001),Alb(r=0.451,P＜0.001)and Barthel index at discharge(r=0.216,P=0.018),while it was significantly negatively correlated with the levels of TG(r=-0.396,P＜0.001),IL-6(r=-0.290,P=0.013),NIHSS at admis-sion(r=-0.187,P=0.041)and MRS at discharge(r=-0.227,P=0.012).Multivariate Logistic regression analyses showed that the decreased level of serum HDL3-C was still independently related to the presence of IS(OR=0.853,95％CI=0.740-0.984,P=0.030)after adjusting for the fectors of age,sex,TC,TG,HDL-C and LDL-C.Multivariate Cox regression analyses demonstrates that the de-creased level of serum HDL3-C was still independently related to the poor prognosis of IS patients(HR=0.710,95％CI=0.517-0.976,P=0.035)after adjusting for the fectors of age,sex,TC,TG,HDL-C and LDL-C.Conclusion The level of serum HDL3-C in pa-tients with IS decreased significantly,and it is independently correlated with poor prognosis.The level of HDL3-C has reference value in evaluating the condition and prognosis of the patients with IS.

In recent years,the global consumption of ultra-processed foods(UPFs)has increased.UPFs are classified as the fourth group of food in the NOVA classification system:industrially formulated foods made entirely or mostly from substances extracted from foods(oils,fats,sugar,starch,proteins,etc),derivatives of food constituents(hydrogenated fats,modified starches,etc),or multiple food additives.Common manufacturing techniques include extrusion,moulding,and pre-frying.As high-energy-density foods,UPFs are typically characterized by high levels of sugar,fat,and salt,and low levels of dietary fiber,protein,vitamins,and minerals,resulting in low nutrient density.Studies have shown that a high intake of UPFs increases the risk of various chronic diseases.Nutrition during pregnancy is a crucial factor influencing pregnancy outcomes,and balanced and adequate nutrient intake is essential for the health of both the mother and child.Given that UPFs have limited nutritional density,high intake during pregnancy may be detrimental to maternal and infant health.However,the impact of consuming UPFs during pregnancy on maternal and infant health is not extensively studied.This article reviews the literature on the effects of UPFs on pregnancy outcomes,aiming to provide a foundation for further research and personalized dietary guidance.

[Objective]To explore the practical basis,significance and development direction of the coexistence of numerous acupuncture therapies.[Methods]By combining the formation of acupuncture theory,the analysis of the integration of modern medicine and the analysis of the application of characteristic needles,the background factors and practical significance of the coexistence of numerous acupuncture therapies are discussed and analyzed from four dimensions:different structures of acupuncture,the collaborative development of modern medicine,the application of characteristic needles and the promotion of microneedle therapy.[Results]The coexistence of numerous acupuncture therapies is the product of the deep extension of the basic acupuncture theory,the unity of contradiction and the combination of exploration.Modern anatomy and basic research also play a synergistic role.A variety of needle characteristic therapy has expanded the clinical application.Different characteristics of microneedle therapy and disease concepts also affect the choice of clinical acupuncture therapy.[Conclusion]Numerous acupuncture therapies are widely used in clinical practice,which is the product of in-depth exploration of traditional theory,continuous integration with modern scientific development and theoretical research.It is bound to encourage the development of TCM acupuncture,make the theoretical research of acupuncture more in-depth,the advantages of each therapy clearer,and even promote the emergence of more effective new therapies.