Atherosclerosis(As)is a chronic inflammatory vascular disease and serves as the pathological basis for various cardiovascular diseases.Epigallocatechin-3-O-gallate(EGCG)is the most abundant and biologically active com-pound in green tea,possessing multiple pharmacological effects such as anti-inflammatory,antiviral,and antioxidative stress properties.In recent years,studies have found that EGCG can regulate lipid metabolism,improve vascular endo-thelial function,and enhance plaque stability,demonstrating its potential value in combating As.This article provides a systematic review of the mechanisms underlying EGCG's anti-As effects,aiming to offer multi-faceted theoretical support for its further research and clinical application in the prevention and treatment of As.

Objective To analyze the correlation between lipid metabolism indexes,serum gamma-glutamyl transpeptidyase(γ-GGT)and coronary heart disease(CHD)complicated with coronary artery calcification(CAC).Methods A total of 300 CHD patients admitted in this study were divided into the CAC group(n=193)and the non-CAC group(n=107).Clinical data of the two groups were compared,including high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C),total cholesterol(TC),triglyceride(TG),Apolipoprotein A1(Apo-A1),Apo-B(APO-B)and γ-GGT.The influencing factors of CAC were analyzed by multiple Logistic factors.And a nomogram prediction model was established.Results The basic data of the two groups were compared.Patients of the CAC group was older,had higher proportion of patients with hypertension and diabetes,had higher levels of LDL-C,TC,Apo-B and γ-GGT and lower level of Apo-A1 than those of the non-CAC group(P＜0.05).The results of Logistic multivariate regression analysis showed that advanced age,combined history of diabetes,elevated LDL-C,TC,Apo-B and γ-GGT were risk factors of CHD complicated with CAC,while elevated Apo-A1 was the protective factor of CHD complicated with CAC(P＜0.05).The AUC of the constructed nomogram model was 0.880(95%CI:0.840-0.919),which showed good distinguishing ability.Conclusion CHD complicated with CAC is related to lipid metabolism and γ-GGT level.The nomogram model constructed based on influencing factors can be used for clinical early warning of CAC risk.

In recent years, the incidence of cow′s milk protein allergy (CMPA) in infants and young children has soared dramatically, posing a formidable challenge to nutritional management. This article thoroughly reviews the domestic and international progress in CMPA research over the past two decades and, in conjunction with clinical practice, proposes a "comprehensive, sequential, and proactive nutritional intervention strategy". This strategy, based on conventional CMPA diagnosis and treatment, emphasizes breastfeeding, scientific introduction of complementary foods, food diversification, formula sequencing, and strategies to promote oral immune tolerance. Additionally, it introduces a personalized and precise nutritional management plan tailored to CMPA accompanied by growth retardation, aiming to ensure optimal growth and development, shorten the disease duration, facilitate oral immune tolerance, and improve the quality of life for infants and young children with CMPA.

Objective To analyze the correlation between lipid metabolism indexes,serum gamma-glutamyl transpeptidyase(γ-GGT)and coronary heart disease(CHD)complicated with coronary artery calcification(CAC).Methods A total of 300 CHD patients admitted in this study were divided into the CAC group(n=193)and the non-CAC group(n=107).Clinical data of the two groups were compared,including high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C),total cholesterol(TC),triglyceride(TG),Apolipoprotein A1(Apo-A1),Apo-B(APO-B)and γ-GGT.The influencing factors of CAC were analyzed by multiple Logistic factors.And a nomogram prediction model was established.Results The basic data of the two groups were compared.Patients of the CAC group was older,had higher proportion of patients with hypertension and diabetes,had higher levels of LDL-C,TC,Apo-B and γ-GGT and lower level of Apo-A1 than those of the non-CAC group(P＜0.05).The results of Logistic multivariate regression analysis showed that advanced age,combined history of diabetes,elevated LDL-C,TC,Apo-B and γ-GGT were risk factors of CHD complicated with CAC,while elevated Apo-A1 was the protective factor of CHD complicated with CAC(P＜0.05).The AUC of the constructed nomogram model was 0.880(95%CI:0.840-0.919),which showed good distinguishing ability.Conclusion CHD complicated with CAC is related to lipid metabolism and γ-GGT level.The nomogram model constructed based on influencing factors can be used for clinical early warning of CAC risk.

Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.

Atherosclerosis(As)is a chronic inflammatory vascular disease and serves as the pathological basis for various cardiovascular diseases.Epigallocatechin-3-O-gallate(EGCG)is the most abundant and biologically active com-pound in green tea,possessing multiple pharmacological effects such as anti-inflammatory,antiviral,and antioxidative stress properties.In recent years,studies have found that EGCG can regulate lipid metabolism,improve vascular endo-thelial function,and enhance plaque stability,demonstrating its potential value in combating As.This article provides a systematic review of the mechanisms underlying EGCG's anti-As effects,aiming to offer multi-faceted theoretical support for its further research and clinical application in the prevention and treatment of As.

Objective: To evaluate the clinical efficacy of digitally guided precision crown lengthening in secondary aesthetic rehabilitation cases, and to provide a clinical reference for digitally guided crown lengthening procedures and secondary aesthetic restorations. Methods: We present a case of a patient with tetracycline-stained teeth, partial detachment of anterior resin veneers, and gingival margin discrepancies. The patient underwent digitally guided precision crown lengthening followed by secondary aesthetic rehabilitation. Multimodal data, including intraoral, facial, and CBCT scans, were integrated to construct a four-dimensional virtual patient model (incorporating teeth, face, bone, and occlusion) for surgical planning and 3D-printed guide fabrication. Secondary aesthetic restoration was performed after achieving stable post-surgical outcomes. Based on this case, we conducted a detailed analysis and reviewed relevant literature on crown lengthening in secondary aesthetic rehabilitation. Results: The gingival contour of the anterior teeth exhibited significant improvement, with enhanced symmetry and stable gingival margin positioning that closely matched the preoperative design. The crown lengthening procedure demonstrated high precision, and the final outcome was aesthetic and functional. Literature review indicated that secondary restorations frequently present challenges such as gingival contour discrepancies and inflammation. Aesthetic crown lengthening in the anterior region should optimize both soft and hard tissue morphology to meet aesthetic standards, with digital technology improving procedural accuracy. Conclusion Precision crown lengthening effectively addresses gingival margin discrepancies in secondary aesthetic rehabilitation, ensuring stable gingival positioning and superior aesthetic outcomes. This approach is particularly suitable for cases with high aesthetic demands.

Despite primary glomerulonephritis (PGN) being a leading cause of chronic kidney disease and end-stage renal disease, specific and sensitive biomarkers for the early detection and monitoring of this condition are lacking. We evaluated the value of the combined detection of serum cystatin C (CYSC), β2-microglobulin (β2-MG), and urine transferrin (TRF) for diagnosing early-stage PGN. From May 2021 to May 2023, we enrolled 105 patients in our hospital as the observation group and 50 healthy volunteers as the control group. Their serum expression levels of CYSC, β2-MG, and TRF were evaluated. We plotted separate ROC curves and calculated the area under the curve (AUC) values of CYSC, β2-MG, and TRF to assess their diagnostic performance in PGN. The levels of CYSC, β2-MG, and TRF were significantly higher (P < 0.05) in the observation group than in the healthy control group. CYSC, β2-MG, and TRF were expressed at significantly higher levels in G2, G3a, and G3b of PGN than in G1. The combined use of CYSC, β2-MG, and TRF as biomarkers could significantly improve the early diagnosis and monitoring of PGN and may lead to better patient outcomes by facilitating earlier intervention and treatment strategies.

Treatment based on meridian differentiation is a characteristic method in clinical acupuncture diagnosis and treatment. Accurately defining and explaining its main content and core concepts is essential for effective clinical guidance. This paper reviews the historical and contemporary understanding, concepts, and primary content of treatment based on meridian differentiation. It proposes a four-step process for clinical application: meridian examination, treatment based on meridian differentiation, acupoint selection, and appropriate treatment methods, with TCM syndrome differentiation applied throughout. Constructing a diagnostic and treatment system which is based on meridian differentiation and suited to clinical acupuncture is significant for enhancing therapeutic efficacy and maximizing the benefits of acupuncture in disease treatment.
Humans ; Meridians ; Acupuncture Therapy/methods* ; Acupuncture Points ; Medicine, Chinese Traditional

Objective:By analyzing the disease spectrum and composition of inpatients in general surgery department of a children′s hospital in Beijing from January 2018 to June 2024, to understand the impact of the COVID-19 on the number of inpatients in children′s hospitals and the composition of disease types, and to provide scientific evidence for hospital capacity building and medical response after the outbreak of the epidemic.Methods:The hospitalization medical records of children in the general surgery ward of the children′s hospital from January 1, 2018 to June 30, 2024 were collected. SPSS 22.0 software and EXCEL tools were used to analyze the ranking and composition of general surgery diseases in the hospital from three dimensions: different years, different genders, and different age groups. At the same time, the source of children in the hospital was counted by province.Results:Overall, the total number of hospitalized children has shown a significant decrease since 2020, and has since slowly rebounded; Acute appendicitis, inguinal hernia, and common bile duct cyst rank among the top three diseases annually; From a gender perspective, inguinal hernia and acute appendicitis are the most common in male children, while acute appendicitis and common bile duct cysts are the most common in female children; In terms of age, the 1-year-old group has the highest number of patients with inguinal hernia, while the 5-year-old and 10-18-year-old groups have the highest number of patients with acute appendicitis; Compared with 2018-2019, the number of hospitalized children with inguinal hernia decreased sharply in the first half of 2020-2024, and the first priority disease changed from inguinal hernia to acute appendicitis.Conclusions:This study analyzed the disease spectrum and composition of the children′s hospital before and after the COVID-19 epidemic, which has important reference value for the capacity building, resource allocation and epidemic response of the children′s hospital.