ObjectiveTo analyze the distribution of traditional Chinese medicine （TCM） syndrome elements in patients with immune-related adverse events （irAEs） associated with malignant tumor immunotherapy and to explore the influencing factors for the occurrence of irAEs. MethodsClinical data were retrospectively collected from malignant tumor patients treated with programmed death-1 （PD-1） inhibitors， including demographic information， tumor history， duration of immunotherapy， occurrence of irAEs， types and grades of irAEs （G1-G5）， and TCM four-diagnostic information. Patients were divided into irAEs group and the non-irAEs group based on the occurrence of irAEs. Propensity score matching （PSM） at a 1∶2 ratio was performed to balance baseline characteristics between groups. Syndrome elements before treatment and cumulative contributions of syndrome elements before and after irAEs onset were evaluated using the "Syndrome Elements Differentiation Scale". Logistic regression analysis was conducted to identify factors associated with the occurrence of irAEs. The use of glucocorticoids in the irAEs group was also analyzed. ResultsAfter 1∶2 matching， 59 patients were included in the irAEs group and 118 were in the non-irAEs group. No statistically significant differences were found between groups in terms of age， gender， primary tumor site， pathological type， or tumor stage （P＞0.05）. Patients in the non-irAEs group were more likely to have received targeted therapy， while the irAEs group had a longer duration of immunotherapy and a higher rate of positive programmed death-ligand 1 （PD-L1） expression （P＜0.05）. In total， 72 irAEs events occurred among 59 patients， with an overall incidence rate of 19.4% （59/304） and a grade 3~5 incidence rate of 6.8% （4/59）， mainly presenting as cardiotoxicity， nephrotoxicity， and pneumotoxicity.Before immunotherapy， the top three syndrome elements in the irAEs group were spleen （71.2%， 42/59）， kidney （42.4%， 25/59）， and lung （39.0%， 23/59）. For the pathogenic nature elements， yin deficiency （52.5%， 31/59）， phlegm （40.7%， 24/59）， and dampness （35.6%， 21/59） ranked highest. Compared to the non-irAEs group， the distribution of spleen， kidney， liver， yin deficiency， and qi deficiency elements showed significant differences in the irAEs group （P＜0.05）. After the occurrence of irAEs， the cumulative contributions of spleen， lung， stomach， heart， yin deficiency， qi deficiency， and yang hyperactivity elements increased significantly （P＜0.05）. Multivariate Logistic regression analysis indicated that duration of immunotherapy， spleen syndrome element， kidney syndrome element， liver syndrome element， yin deficiency element， and qi deficiency element were independent risk factors for irAEs （P＜0.05 or P＜0.01）. Among the irAEs patients， 15 received glucocorticoid combined with TCM treatment， while 6 received glucocorticoid therapy alone. Patients receiving combined treatment required lower doses and shorter courses of glucocorticoids compared to those treated with glucocorticoids alone （P＜0.05）. ConclusionIn malignant tumor patients， spleen， kidney， lung， yin deficiency， phlegm， dampness， and qi deficiency are the predominant syndrome elements before and after the occurrence of irAEs. However， elements such as heat and qi stagnation significantly increase after irAEs onset. Duration of immunotherapy， spleen， kidney， liver syndrome elements， yin deficiency， and qi deficiency are independent risk factors for the development of irAEs.

BACKGROUND: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories. METHODS: This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. RESULTS: In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight. CONCLUSIONS Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adipose Tissue ; Body Fat Distribution ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Phenotype

Objective To investigate the five-circuit and six-qi features at conception and at birth in the patients with endometrial cancer.Methods From June 2020 to August 2024,the information about the conception time and birth time of 1 099 patients with endometrial cancer admitted to Guang'anmen Hospital of China Academy of Chinese Medical Sciences was collected from the electronic medical record system.The circuit-qi information at conception and at birth of the patients was statistically analyzed,and then the congenital endowment characteristics of the patients were explored.Results The results showed that most of the patients suffering endometrial cancer were born in winter,and the dominant qi at birth of the patients was predominated by taiyang cold-water,and the differences of the distribution of dominant qi at birth were statistically significant(P＜0.05).There were no significant differences in the distribution of yearly circuit,guest qi,and sitian-zaiquan at birth,and in the distribution of seasons,yearly circuit,dominant qi,guest qi,and sitian-zaiquan at conception(P＞0.05),and only an obvious trend of differences was presented.Conclusion There is a certain correlation between the prevalence of endometrial cancer and the five-circuit and six-qi features at conception and at birth.The congenital endowment of patients with endometrial cancer is characterized by yang deficiency with predominant coldness,and the prevalence is related to jueyin wind wood.

Objective To investigate traditional Chinese medicine(TCM)syndrome characteristics associated with immunotherapy efficacy in cervical cancer using propensity score matching(PSM),aiming to identify the population benefiting from immunotherapy.Methods A retrospective analysis was conducted in 253 cervical cancer patients,who received the treatment with programmed death receptor 1(PD-1)inhibitors at Guang'anmen Hospital,China Academy of Chinese Medical Sciences from January 2020 to October 2024.Clinical data and TCM four-examination data were collected.After balancing the confounders via PSM(1∶1 matching)and with therapeutic efficacy as the dependent variable,multivariate logistic regression was performed to analyze the characteristics of TCM syndrome in the immunotherapy-response group and then a predictive model was constructed.Results(1)After matching with PSM,198 cases were included,99 cases in response group and 99 cases in non-response group.(2)Analysis of the distribution of TCM syndrome elements showed that the differences in the pathogenic syndrome elements of qi deficiency,qi stagnation,blood stasis,heat and phlegm between the two groups were statistically significant(P＜0.05 or P＜0.01),while there were no statistically significant differences in the disease-location syndrome elements of uterus,kidneys,lungs,spleen,liver,and heart,as well as in the pathogenic syndrome elements of blood deficiency,yin deficiency,yang deficiency,cold,and dampness(P＞0.05).The main pathogenic syndrome elements in the response group were qi deficiency,blood deficiency and heat,while those in the non-response group were qi stagnation,heat and phlegm.(3)The results of univariate regression analysis showed that targeted therapy(P=0.040),programmed cell death-ligand 1(PD-L1)expression level(P＜0.001),qi deficiency(P=0.009),blood deficiency(P＜0.001),yang deficiency(P＜0.001),yin deficiency(P＜0.001),qi stagnation(P=0.003),blood stasis(P＜0.001),cold(P＜0.001),cold(P＜0.001),heat(P＜0.001),phlegm(P＜0.001),and dampness(P＜0.001)were the factors associated with the efficacy of PD-1 inhibitors.(4)The results of multivariate logistic regression analysis showed that previous targeted therapy(OR=0.36,95%CI:0.16-0.83)and pathogenic syndrome elements of qi stagnation(OR=0.23,95%CI:0.10-0.49),phlegm(OR=0.28,95%CI:0.13-0.61)were the risk factors of associated with the efficacy of PD-1 inhibitors,while PD-L1 expression level(OR=15.27,95%CI:2.60-89.63),and pathogenic syndrome element qi deficiency(OR=2.90,95%CI:1.42-5.89)were the protective factors associated with the efficacy of PD-1 inhibitors in cervical cancer.(5)Receiver operating characteristic(ROC)curve analysis demonstrated that the area under the ROC curve(AUC)of the predictive model for evaluating PD-1 inhibitor efficacy in cervical cancer was 0.78(95%CI:0.71-0.84),indicating certain predictive value.Conclusion PD-L1 expression level and TCM pathogenic syndrome elements such as qi deficiency,qi stagnation,and phlegm are the independent factors influencing PD-1 inhibitor efficacy in cervical cancer,providing insights for optimizing integrated TCM-western medicine treatment strategies.

Nowadays,the prevalence of nonalcoholic fatty liver disease(NAFLD)is constantly rising in China and globally,and its incidence rate is increasing year by year,which has seriously affected human life and health.Lipophagy is molecular chaperone-mediated autophagy and has the functions of promoting lipolysis,maintaining the lipid homeostasis of hepatocytes,and alleviating hepatocyte fatty degeneration.Lipophagy has three main processes of lipid droplet catabolism,lipid droplet autophagy,and fatty acid β-oxidation,which are regulated by key genes,receptors,and enzymes.Currently,important advances have been achieved for the intervention methods of traditional Chinese medicine,Western medicine,diet,and exercise in the research on lipophagy,which provides new perspectives for the prevention and treatment strategies for NAFLD.

Children and adults differ significantly in physiology,biochemistry and immune function,which leads to sig-nificant differences in blood transfusion strategies between children and adults.To guide the clinical transfusion practice of pediatric patients and improve the prognosis of children,the National Health Commission organized the formulation and re-lease of the health industry standard Guideline for Pediatric Transfusion(WS/T 795-2022).This paper will briefly introduce some concepts that help understand of the Standard and the preparation process of the Standard,and explain and interpret the preparation of the"scope","general provisions"and"factors to consider"of the Standard,hoping to contribute to the understanding and implementation of the Standard.

Objectives:To explore the impact of intensive lipid-lowering strategy on short-term prognosis of acute coronary syndrome(ACS)patients with multi-vessel disease. Methods:A total of 136 ACS patients with multi-vessel disease who received coronary stenting at Zhongnan Hospital of Wuhan University from August 2019 to November 2020 were enrolled in this study.Patients were divided into intensive lipid-lowering group(control low density lipoprotein cholesterol[LDL-C]below 1.0 mmol/L within 3 months,and continuously meet the standards within 12 months,n=69)or standard lipid-lowering group(gradually control LDL-C below 1.4 mmol/L within one year,n=67).The total cholesterol(TC),triglycerides(TG),LDL-C,high-density lipoprotein cholesterol(HDL-C),and lipoprotein(a)(Lp[a])data were collected.Incidence of major adverse cardiovascular events(MACE,including cardiac death,myocardial infarction,target vessel revascularization and stroke)were observed during 12 months of follow up. Results:The baseline data of the intensive lipid-lowering group and the standard lipid-lowering group were consistent before intervention.At the timeline of enrollment,there was no statistically significant difference in the blood lipid profiles(including TC,TG,LDL-C,HDL-C)between the two groups.After 3-months,patients in the intensive lipid-lowering group experienced significantly lower TC,TG,LDL-C and Lp(a)compared with baseline values(all P<0.05),while HDL-C remained unchanged(P>0.05).The standard lipid-lowering group showed a significant decrease in TC and LDL-C compared with baseline values(both P<0.05).The TC and LDL-C levels were significantly lower in the intensive lipid-lowering group than in the standard lipid-lowering group at 3/6/12 months follow up after discharge(all P<0.01).At 12 months follow-up,Kaplan-Meier survival analysis showed that the incidence of MACE was significantly lower in the intensive lipid-lowering group than in the standard lipid-lowering group(2.90%vs.14.93%,χ2=6.090,P=0.014).Multiple Cox regression analysis revealed that the intensive lipid-lowering strategy significantly reduced the risk of MACE compared with the standard lipid-lowering strategy(HR=0.177,95%CI:0.037-0.838,P=0.029). Conclusions:Our data show that intensive lipid-lowering strategy may probably reduce the incidence of short-term MACE in ASC patients with multi-vessel disease.Large-scale prospective multi-center studies are needed to further validate these results.

Cancer toxin is a specific pathogenesis leading to the heterogeneity of breast cancer.The nature and virulence of the cancer toxin determine the differences in the heterogeneity of breast cancer,which can dynamically evolve over time and space,resulting in varying invasion abilities and characteristics of the tumor.Cancer cells in the primary lesion possess"toxicity"that targets specific organs for metastasis,and cancer toxins can influence the metastatic propensity of different types of breast cancer.Therefore,breast cancer treatment strategies based on the theory of cancer toxins emphasize the continuous eradication of the cancer toxin,focusing on differentiating its strength and nature,protecting unaffected areas first,identifying the state based on symptoms,and targeting accordingly to combat resistance arising from tumor heterogeneity.This article aims to provide a new theoretical basis for the treatment strategies of different types of breast cancer.

Purpose: Radiation-induced dermatitis (RD) is a common side-effect of therapeutic ionizing radiation that can severely affect patient quality of life. This study aimed to develop a risk prediction model for the occurrence of RD in patients with cervical carcinoma undergoing chemoradiotherapy using electronic medical records (EMRs). Methods: Using EMRs, the clinical data of patients who underwent simultaneous radiotherapy and chemotherapy at a tertiary cancer hospital between 2017 and 2022 were retrospectively collected, and the patients were divided into two groups: a training group and a validation group. A predictive model was constructed to predict the development of RD in patients who underwent concurrent radiotherapy and chemotherapy for cervical cancer. Finally, the model's efficacy was validated using a receiver operating characteristic curve. Results: The incidence of radiation dermatitis was 89.5% (560/626) in the entire cohort, 88.6% (388/438) in the training group, and 91.5% (172/188) in the experimental group. The nomogram was established based on the following factors: age, the days between the beginning and conclusion of radiotherapy, the serum albumin after chemoradiotherapy, the use of single or multiple drugs for concurrent chemotherapy, and the total dose of afterloading radiotherapy. Internal and external verification indicated that the model had good discriminatory ability. Overall, the model achieved an area under the receiver operating characteristic curve of .66. Conclusions The risk of RD in patients with cervical carcinoma undergoing chemoradiotherapy is high. A risk prediction model can be developed for RD in cervical carcinoma patients undergoing chemoradiotherapy, based on over 5 years of EMR data from a tertiary cancer hospital.

Objective To investigate the risk factors and predictive value of mechanical ventilation withdrawal failure in patients with cardiogenic respiratory failure.Methods Eighty patients with cardiogenic respiratory failure who were treated in our Rugao Hospital of Traditional Chinese Medicine from January 2019 to July 2022 were enrolled in this study.They were divided into successful withdrawal group(n=67)and failed withdrawal group(n=13)according to the results of tracheal extubation.Clinical data and ultrasonic parameters were compared between the two groups.The influence factors of mechanical ventilation withdrawal were analyzed.Results The age,proportion of patients with hypertension,the levels of N-terminal precursor of B-type natriuretic peptide(NT-proBNP),procalcitonin(PCT),and C-reactive protein(CRP),acute physiology and chronic health evaluation Ⅱ(APACHEⅡ)score,and systolic left atrial area(LAA)in the failed withdrawal group,were significantly higher than those in the successful withdrawal group(P<0.05).Logistic regression analysis showed that age,NT-proBNP,PCT,CRP,APACHE Ⅱ score and LAA were the influencing factors of mechanical ventilation withdrawal failure in patients with cardiogenic respiratory failure(P<0.05).The area under the ROC curve for predicting withdrawal failure was 0.834(95%CI:0.724-0.944,P<0.05),and the sensitivity and specificity were 84.60%and 68.40%,respectively.Conclusion The mechanical ventilation withdrawal is influenced by age,NT-proBNP,PCT,CRP,APACHE Ⅱ score and LAA in patients with cardiac respiratory failure.The construction of logistic regression model may help to predict the withdrawal failure.