1.Risk factors for type 2 diabetes mellitus with metabolic-associated fatty liver disease and their relationship with BMI management
Xi CHEN ; Jing ZHANG ; Yang LIU
Journal of Public Health and Preventive Medicine 2026;37(1):108-111
Objective To analyze the risk factors of type 2 diabetes mellitus (T2DM) with metabolic-associated fatty liver disease (MAFLD) and explore their relationship with BMI management. Methods A retrospective analysis was conducted of 310 patients with type 2 diabetes who underwent physical examinations at the 363 hospital between March 2023 and March 2025. Among these patients, those with MAFLD were counted. The risk factors of T2DM with MAFLD were analyzed by logistic regression analysis. The relationship between T2DM with MAFLD and BMI management was explored by Spearman correlation coefficient analysis. Results Compared with the non-MAFLD group, the levels of alanine aminotransferase (ALT), fasting insulin (I0), fasting blood glucose (G0), BMI, triglyceride (TG), aspartate aminotransferase (AST), and serum uric acid (SUA) were higher while the level of high-density lipoprotein cholesterol (HDL-C) was lower in the MAFLD group (P<0.05). Logistic regression analysis showed that BMI, SUA, I0, ALT, G0, and BMI control scale score were risk factors of T2DM with MAFLD (P<0.05). The score of BMI control scale of patients in the MAFLD group was higher than that in the non-MAFLD group (P<0.05). Correlation analysis indicated that T2DM with MAFLD was negatively correlated with BMI management (P<0.05). Conclusion BMI, SUA, I0, ALT, and G0 are all risk factors of T2DM with MAFLD. BMI management is negatively correlated with T2DM with MAFLD. Patients with T2DM should control BMI and blood glucose to reduce the occurrence of MAFLD.
2.WANG Xixing's Clinical Experience in Treating Immune Checkpoint Inhibitor-Related Pneumonitis Based on the Theory of "Cough Attributed to the Five Zang (脏) Organs"
Xue QI ; Xi YANG ; Xinyue WANG ; Dongxin ZHANG ; Yuxing MAO ; Yuankun HAN ; Wenbo ZHAI ; Boyang LYU ; Yifang LI ;
Journal of Traditional Chinese Medicine 2026;67(5):477-481
This paper summarizes Professor WANG Xixing's clinical experience in treating immune checkpoint inhibitor-related pneumonitis (CIP) based on the theory of "cough attributed to the five zang (脏) organs". Cough is a common predominant symptom of CIP. According to the theory of "cough attributed to the five zang organs", drug toxicity triggers cancer toxin, leading to disharmony among the five zang organs, and then lung failing to diffuse and govern descent as the core pathogenesis. Therefore, treatment should focus on harmonizing the five zang organs to restore the normal function of lung qi to diffuse and govern descent. In clinical practice, CIP can be classified into four syndrome patterns, including lung yin depletion, deficiency of both the lung and the spleen with phlegm-dampness, liver fire harassing the lung, and lung-kidney yin deficiency. Correspondingly, Chaimai Jinluo Runfei Decoction (柴麦金络润肺汤) is used to nourish yin and moisten the lung; Qigui Peitu Huayin Decoction (芪桂培土化饮汤) is used to fortify the spleen and tonify the lung, resolve dampness and dispel phlegm; Chaidan Shuyu Runjin Decoction (柴丹疏郁润金汤) is used to drain liver and clear the lung; and Dimai Jinshui Xiangsheng Decoction (地脉金水相生汤) is used to nourish the kidney and moisten the lung.
3.Impacts of combined exposure to PM2.5 and cold spells on non-accidental mortality in Zigong City from 2016 to 2021
Yizhang XIA ; Wei HUANG ; Yang LI ; Yuquan CHEN ; Jie ZHANG ; Haili REN ; Qinglan HUANG ; Xi CHEN
Journal of Environmental and Occupational Medicine 2026;43(1):35-42
Background Amid global climate change, extreme environmental events are occurring more frequently, and it is imperative to investigate the impacts of combined exposure to fine particluate matter (PM2.5) and cold spells (CS) on population mortality. Objective To analyze the association between sequential extreme PM2.5-cold spell (EP-CS) events and non-accidental mortality among residents in Zigong City from 2016 to 2021. Methods Using time-series study design, meteorological data in Zigong were collected from the Zigong Meteorological Bureau for the period from January 1, 2016 to December 31, 2021, while daily non-accidental mortality data were obtained from the mortality surveillance system of the Zigong Center for Disease Control and Prevention. We adopted the percentile method to define extreme PM2.5 events and cold spells. We analyzed the risk effect of EP-CS events on non-accidental mortality among residents in this city and explored the potential amplification of damage resulting from different patterns of consecutive extreme events by using distributed lag nonlinear model (DLNM). We also conducted stratified analyses based on age, gender, education level, and marital status. Results The EP-CS events demonstrated a significant impact on non-accidental mortality among the local residents, exhibiting a certain lagged effect. The effects on the overall residents lasted from lag0 (RR=1.030, 95%CI: 1.013, 1.048) to lag14 (RR=1.035, 95%CI: 1.019, 1.052). Notably, the effects were more pronounced among females, individuals aged 65 years and above, and those who were never married, divorced, or widowed. Different patterns of EP-CS events all associated with adverse effects, the health impact of EP-CS events was significantly greater than that of individual PM2.5 pollution or CS events. The analysis of lag effects across different event patterns revealed that the overall effect of EP-CS events with shorter intervals (0–7 d) had a stronger effect compared to EP-CS with longer intervals (8–14 d), and the RR values of lag14 were 1.034 (95%CI: 1.015, 1.054) and 1.017 (95%CI: 1.007, 1.027), suggesting that the damaging effect of compound events occurring in the short term was more significant. Conclusion All sequential extreme EP-CS events have an impact on non-accidental mortality among residents in this city, with compound events demonstrating a stronger effect. Females, individuals aged ≥65 years, and those who were never married, divorced, or widowed are more sensitive to EP-CS events.
4.Wisdom Inheritance of Distinguished Physicians' Experience Through Integration of Multimodal Data and AIGC: A Case Study on Experience in Diagnosis and Treatment of Lung Cancer with Phlegm-dampness and Blood Stasis Syndrome by Distinguished Traditional Chinese Medicine Physicians of Sichuan School
Yang YU ; Yadong MU ; Wenping LIU ; Chongcheng XI ; Li ZHANG ; Yan GAO ; Cen JIANG ; Quansheng FENG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(14):14-25
Lung cancer, with persistently high incidence and mortality rates, remains a significant global health challenge. By taking the study on the experience in diagnosis and treatment of lung cancer with phlegm-dampness and blood stasis syndrome by distinguished traditional Chinese medicine physicians of the Sichuan School as an example, the diagnosis and treatment system for lung cancer with phlegm-dampness and blood stasis syndrome, which was formed in response to the humid and foggy environment of the Sichuan Basin, possesses unique value. However, traditional inheritance modes face challenges such as fragmentation, lack of standardization, and insufficient quantification, which hinder the promotion and application of this experience. This research focused on how to leverage multimodal data and artificial intelligence-generated content (AIGC) to achieve precise analysis, intelligent inheritance, and clinical innovation of the experience in diagnosis and treatment of lung cancer with phlegm-dampness and blood stasis syndrome by distinguished traditional Chinese medicine physicians of the Sichuan School. By integrating multimodal data (encompassing four diagnostic methods of traditional Chinese medicine, modern medical imaging, clinical laboratory tests, molecular biology, and regional environmental information), a precise diagnosis and treatment system integrating macro and micro perspectives for the "disease, syndrome, and pathogenesis" was constructed. The research yielded the following results: (1) In precise syndrome differentiation, the objective quantification of the phlegm-dampness and blood stasis syndrome was achieved. By constructing a "four diagnostic methods, imaging, and molecule" correlation model, the study revealed intrinsic links between tongue and pulse parameters and the tumor microenvironment, as well as between regional climatic factors and syndrome characteristics, enabling real-time dynamic monitoring of efficacy. (2) In elucidating patterns, the study systematically explored the syndrome differentiation thoughts of Sichuan School physicians, such as the timing of purgation and tonification. A "pathogenesis, syndrome complex, and prescriptions and herb" network model was constructed, which accurately elucidated the synergistic action mechanisms of core herb pairs and quantified the dynamic compatibility patterns of reinforcing healthy Qi and eliminating pathogenic factors. (3) In intelligent empowerment, an auxiliary system integrating intelligent syndrome differentiation, treatment plan generation, and efficacy evaluation was built. This system can fuse regional characteristics with individual data, dynamically generate and optimize personalized prescriptions aligned with the experience of Sichuan School, and predict efficacy trends and potential adverse reactions. The integration of multimodal data and AIGC can effectively facilitate the structured inheritance and clinical translation of distinguished physicians' experience. The established intelligent diagnosis and treatment model integrating traditional Chinese medicine and Western medicine demonstrates clear potential in prolonging patients' progression-free survival, alleviating symptoms, and reducing adverse reactions to treatment. This study provides a referential methodological framework for the traditional Chinese medicine experience in diagnosis and treatment of lung cancer, especially the empirical inheritance and modernized development of regional academic schools. It contributes to advancing clinical diagnosis and treatment toward greater precision and personalization.
5.Construction of a prediction model for severe pneumonia complicate with respiratory failure
Siyu GAO ; Sheng ZHANG ; Xi CHEN ; Zhixia ZHANG ; Yumei YANG
Chinese Journal of Clinical Medicine 2025;32(3):449-457
Objective To explore predictive factors of severe community-acquired pneumonia (CAP) complicated with respiratory failure (RF) and to develop and internally validate a clinical prediction model. Methods A retrospective study was conducted on 350 patients with severe CAP admitted to Tianyou Hospital Affiliated to Wuhan University of Science and Technology from September 2022 to December 2024. Patients were randomly divided into a training set (n=245) and a validation set (n=105) in a 7∶3 ratio, and further categorized into RF and non-RF groups. LASSO regression was applied to optimize variable selection. Multivariate logistic analysis was used to construct the prediction model, followed by internal validation. Results Univariate regression analysis identified male, hypertension, diabetes, coronary heart disease, age, CURB-65 score, white blood cell count, neutrophil count, C-reactive protein (CRP), serum amyloid A, procalcitonin, and hospital stay as risk factors for RF in severe CAP, while albumin level was a protective factor. LASSO regression selected CURB-65 score, albumin level, and CRP for inclusion in the final model. The area under the receiver operating characteristic curve was 0.903 in the training set and 0.919 in the validation set. Calibration curve analysis demonstrated excellent agreement between predicted and observed probabilities in both sets, and Hosmer-Lemeshow goodness-of-fit tests indicated no significant deviations. Threshold probabilities ranged from 0.01 to 0.99 in both training and validation sets. Conclusions CURB-65 score, albumin level, and CRP are independent predictors of RF in severe CAP. The clinical prediction model based on these factors exhibits strong discrimination, calibration, goodness-of-fit, and clinical utility.
6.Effect of Xinfeng Capsules Combined with Chronic Disease Management of Traditional Chinese Medicine on Rapid Disease Control and Short-term Prognosis of Patients with Rheumatoid Arthritis
Dandan TIAN ; Hong ZHAO ; Man LUO ; Shanping WANG ; Li YANG ; Tingting ZHANG ; Xi CHEN ; Chuanbing HUANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(20):137-144
ObjectiveTo investigate the effects of Xinfeng capsules combined with chronic disease management of traditional Chinese medicine (TCM) on rapid disease control and short-term prognosis of patients with rheumatoid arthritis (RA). MethodsA total of 80 RA patients hospitalized in the Department of Rheumatology of The First Affiliated Hospital of Anhui University of Chinese Medicine from January 2022 to March 2024 were enrolled and randomly divided into an observation group (40 cases) and a control group (40 cases). The control group was treated with conventional methotrexate combined with standard chronic disease management, while the observation group was additionally treated with Xinfeng Capsules combined with TCM chronic disease management. The treatment course lasted 24 weeks. The outcomes were compared between two groups, including disease activity [28-joint disease activity score (DAS28), clinical disease activity index (CDAI), simplified disease activity index (SDAI)], visual analogue scale (VAS) for pain, TCM syndrome score, tender joint count (TJC), swollen joint count (SJC), morning stiffness duration, Health Assessment Questionnaire (HAQ), Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), American College of Rheumatology (ACR) 20%, 50% and 70% response rates (ACR20/50/70), erythrocyte sedimentation rate (ESR), high-sensitivity C-reactive protein (hs-CRP), rheumatoid factor (RF), anti-cyclic citrullinated peptide antibody (CCP-Ab), interleukin (IL)-6, IL-1β, tumor necrosis factor-α (TNF-α), and serum immunoglobulin G (IgG). The Chronic Disease Self-Management Scale (CDSMS) was used to evaluate patients’ self-management ability, self-care ability, and nursing satisfaction. Patients were followed up for 12 weeks to assess prognosis, and COX regression analysis was performed to determine the impact on short-term prognosis. ResultsAfter treatment, TJC, SJC, morning stiffness duration, DAS28, CDAI, SDAI, VAS, TCM syndrome score, ESR, hs-CRP, RF, CCP-Ab, IL-6, IL-1β, TNF-α, IgG, HAQ, SAS, SDS, chronic disease self-management behavior, self-efficacy, and self-care ability all improved significantly in both groups compared with baseline (P<0.05,P<0.01). Compared with the control group, the observation group showed more significant improvements in TJC, SJC, morning stiffness duration, DAS28, CDAI, SDAI, VAS, TCM syndrome score, ESR, IL-1β, IgG, HAQ, SAS, SDS, self-care ability, chronic disease self-management behavior, and self-efficacy (P<0.05 or P<0.01). The ACR70 response rate and nursing satisfaction were significantly higher in the observation group than in the control group (P<0.01). COX regression analysis showed that Xinfeng capsules combined with TCM chronic disease management reduced the risk of poor short-term prognosis in RA patients. ConclusionXinfeng capsules combined with TCM chronic disease management facilitates rapid disease control in RA patients, effectively improves short-term prognosis, and plays an important role in the treatment of the disease.
7.Association between elevated blood pressure and increased pulse wave velocity in adolescents
ZHANG Xiao, WANG Yuedong, ZHAO Min, YANG Lili, XI Bo
Chinese Journal of School Health 2025;46(11):1653-1657
Objective:
To explore the association between blood pressure levels and brachial-ankle pulse wave velocity (baPWV) in adolescents, so as to provide a scientific basis for early prevention and control of cardiovascular disease.
Methods:
The study utilized data from the October to December 2023 survey conducted by of the Huantai Child Cardiovascular Health Cohort, which included 1 197 adolescents aged 12-17 years. According to the Reference of Screening for Elevated Blood Pressure among Children and Adolescents aged 7-18 years, participants were classified into normal, high normal, and elevated blood pressure groups. The baPWV elevation was defined as a baPWV value greater than or equal to the 90th percentile of the sex and age specific baPWV values in the study population. The association between elevated blood pressure and increased baPWV was assessed by binary Logistic regression models. Restricted cubic spline model was applied to evaluate the dose response curve of the relationship between blood pressure Z scores and increased baPWV.
Results:
Among adolescents, the prevalence of high normal and elevated blood pressure were 22.6% and 14.1%, respectively. The mean baPWV values were 918, 978 and 1 030 cm/s in the normal, high normal, and elevated blood pressure groups, respectively. The prevalence rates of elevated baPWV were 7.3%, 9.6% and 27.2% in these three groups correspondingly. Logistic regression analysis showed that, after adjusting for covariates, both high normal and elevated blood pressure were significantly associated with higher odds of increased baPWV[ OR(95%CI )=1.87(1.08-3.20) and 8.24(4.73-14.50), both P < 0.05]. Linear dose response associations were identified between systolic and diastolic blood pressure Z scores and increased baPWV ( P non linearity>0.05).
Conclusions
Elevated blood pressure in adolescents is positively associated with high baPWV. Greater emphasis should therefore be placed on blood pressure monitoring and health management during adolescence.
8.Analysis of a risk model for rivaroxaban-related bleeding events in elderly patients with atrial fibrillation based on gene polymorphism
Chen ZHANG ; Xiaoqing XI ; Yinfeng GAO ; Xu YANG
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2025;27(1):13-17
Objective To establish a risk model of rivaroxaban-related bleeding events in elderly patients with non-valvular atrial fibrillation(NVAF)based on gene polymorphism.Methods A total of 268 elderly NVAF patients receiving rivaroxaban treatment in Department of General Practice of the First Affiliated Hospital of Shihezi University from January 2021 to July 2023 were enrolled in this study.According to whether bleeding events occurred in 12 months'follow-up,they were divided into a bleeding group(47 cases)and a non-bleeding group(221 cases).The clinical data and results of gene polymorphism were compared between the two groups.Multivari-ate logistic regression was adopted to construct a risk prediction model of bleeding events based on gene polymorphism,and the predictive performance was verified.Results Significantly ad-vanced age and lower creatinine level were observed in the bleeding group than the non-bleeding group(P<0.01).The bleeding group had obviously lower GG genotype frequency at the rs1128503 locus and TT genotype frequency at the rs4148738 of ATP-binding cassette,sub-family B member 1(ABCB1),and lower AC genotype frequency at the rs1057910 locus of cytochrome P450 2C9(CYP2C9)than the non-bleeding group(P<0.05).Multivariate logistic regression analy-sis showed that age(OR=1.136,95%CI:1.031-1.251),and AA genotype(OR=15.407,95%CI:4.259-55.741)and GA genotype(OR=6.990,95%CI:1.599-30.546)of ABCB1 rs1 128503 were risk factors for rivaroxaban-related bleeding events in elderly NVAF patients(P<0.01).Creatinine(OR=0.943,95%CI:0.899-0.989),TT genotype at ABCB1 rs4148738(OR=0.048,95%CI:0.009-0.242)and AC genotype of CYP2C9 rs1057910(OR=0.092,95%CI:0.021-0.408)were protective factors for the risk(P<0.05).ROC curve analysis indicated that the AUC value of the risk model based on gene polymorphism was 0.827(95%CI:0.776-0.870),the spe-cificity was 81.90%,and the sensitivity was 76.60%.Conclusion Our risk model of rivaroxaban-related bleeding events based on ABCB1 gene and CYP2C9 gene has high application value for elderly NVAF patients.
9.Comparison of random forest and Cox regression models for predicting long-term survival after radical resection of HBV-associated hepatocellu-lar carcinoma
Guang-zhou LI ; Hong-lei WANG ; Xi-quan CHEN ; Yang HE ; Yan-hao CHEN ; Cui HU ; Miao WANG ; De-xiao ZHANG
Chinese Journal of Current Advances in General Surgery 2025;28(5):355-360
Objective:To analyze the factors associated with long-term survival after radical resection of hepatitis B virus(HBV)-associated hepatocellular carcinoma(HCC),and to construct random forest and Cox regression models,to evaluate the two models.Methods:A total of 368 patients with HBV-infected HCC who underwent radical resection were selected retrospectively.These patients were categorized as having a good prognosis(n=266)or a poor prognosis(n=102)based on their survival and mortality status.Univariate and Cox regression analysis were used to identify fac-tors that predict poor prognosis in HCC patients after surgery,and Cox regression and random forest prediction models were constructed and evaluated.Results:There were significant differences in smoking history,Child-Pugh classifica-tion,cirrhosis,microvascular invasion,TNM staging,tumor capsule integrity,platelet-to-lymphocyte ratio(PLR),regular antiviral therapy,HBV-DNA load,alpha-fetoprotein(AFP),neutrophil-to-lymphocyte ratio(NLR),systemic immune in-flammatory index(SII),and albumin-to-globulin ratio(AGR)between the two groups(P<0.05);Cox regression showed that cirrhosis,microvascular invasion,regular antiviral treatment,HBV-DNA load,NLR,PLR,SII,and AGR were related factors that negatively affected the prognosis of patients with HBV-infected HCC after surgery(P<0.05),with an AUC of 0.870 for predicting prognosis;the importance ranking obtained by the random forest model was HBV-DNA load,cirrho-sis,regular antiviral therapy,microvascular invasion,NLR,PLR,AGR,and SII,with an AUC of 0.926 for predicting prog-nosis;the AUC predicted by the random forest model was greater than that predicted by the Cox regression model(Z=2.411,P=0.016).Conclusion:HBV-DNA load,cirrhosis,regular antiviral therapy,microvascular invasion,NLR,PLR,AGR,and SII are factors that affect the poor prognosis of patients with HBV-related HCC after surgery.The random for-est prediction model constructed based on these factors has high predictive value and is superior to the Cox regression prediction model.
10.Observation of fundus multimodal imaging features in patients with acute Vogt-Koyanagi-Harada syndrome
Xiufen YANG ; Taoran ZHANG ; Ran YOU ; Xi CHEN ; Mingming LI ; Yingxiang HUANG
Journal of Chinese Physician 2025;27(6):890-895
Objective:To analyze the clinical manifestations and fundus multimodal imaging features of patients with acute Vogt-Koyanagi-Harada (VKH) syndrome, and provide a reference for early diagnosis of VKH syndrome.Methods:Retrospective analysis was performed on the clinical data and related examinations including spectral-domain optical coherence tomography (SD-OCT), fundus fluorescein angiography (FFA), and indocyanine green angiography (ICGA) of patients diagnosed with acute VKH syndrome in the Ophthalmology Department of the Beijing Friendship Hospital from January 2017 to December 2022.Results:A total of 17 patients (34 eyes) with acute VKH syndrome were included. SD-OCT showed exudative retinal detachment in all 34 eyes with punctate hyperreflective signals; 26 eyes had choroidal folds, and 14 patients (28 eyes) had " septum-like" structures under the neuroepithelium. FFA early images showed late retinal fluorescence pooling in a multi-lake pattern in all 34 eyes. ICGA was performed in 15 patients (30 eyes), with early images showing hyperfluorescence of choroidal vessels in all 30 eyes; 26 eyes had scattered hypofluorescent lesions in the fundus. Mid-to-late images showed blurred boundaries of choroidal vessels in 28 eyes.Conclusions:Patients with acute VKH syndrome have characteristic manifestations in SD-OCT, FFA, and ICGA. Fundus multimodal imaging can provide important references for the diagnosis of VKH syndrome.


Result Analysis
Print
Save
E-mail