1.Influencing factors for medication adherence among inpatients with chronic diseases based on latent profile analysis
WANG Xiaoshan ; YE Lixiang ; CHEN Li ; LI Minxiang ; WANG Xinyu ; CAI Xiaoxia
Journal of Preventive Medicine 2025;37(3):217-222
Objective:
To explore the types of medication adherence and their influencing factors among inpatients with chronic diseases based on latent profile analysis, so as to provide the basis for improving medication adherence among patients with chronic diseases.
Methods:
The inpatients with chronic diseases admitted to the Second Affiliated Hospital of Hainan Medical University were selected as the study subjects. Demographic information, chronic disease status, and health education were collected through questionnaire surveys. Medication adherence was assessed using the Medication Adherence Scale and categorized based on the scores of its eight items through latent profile analysis. Factors affecting medication adherence among inpatients with chronic diseases were analyzed using a multinomial logistic regression model.
Results:
Totally 290 valid questionnaires were recovered, with an effective recovery rate of 97.64%. There were 157 males (54.14%) and 133 females (45.86%), with a median age of 61 (interquartile range, 21) years. The median score of medication adherence was 4.75 (interquartile range, 4.50). Based on latent profile analysis, medication adherence was categorized into three types: subjective neglect with poor adherence (38.97%), subjective confidence with fluctuating adherence (28.28%), and self-reflective with good adherence (32.76%). Multinomial logistic regression analysis showed that compared to the subjective confidence with fluctuating adherence, family monthly income (5 000-10 000 yuan, OR=2.981, 95%CI: 1.055-8.429), comorbidity of chronic diseases (OR=3.478, 95%CI: 1.579-7.661), number of health education sessions received in the past year (≤1 session, OR=0.329, 95%CI: 0.120-0.907; 2 sessions, OR=0.363, 95%CI: 0.138-0.950), and health information literacy scores (<60 points, OR=2.596, 95%CI: 1.209-5.573) were statistically associated with subjective neglect with poor adherence (all P<0.05).
Conclusion
Subjective neglect with poor medication adherence among inpatients with chronic diseases is associated with family monthly income, comorbidity of chronic diseases, the number of health education sessions received, and health information literacy.
2.Exploring Mechanism of Breast Cancer Prevention by Liuwei Dihuangwan, Erzhiwan and Zuoguiwan Based on Macrophage Phagocytosis
Lixiang ZHENG ; Yishan CHEN ; Wei QUAN ; Youbao ZHONG ; Zifeng GUO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(10):10-17
ObjectiveTo investigate the effects of three traditional Chinese medicine formulas for nourishing kidney Yin on the occurrence of breast cancer, including Zuoguiwan(ZGW), Liuwei Dihuangwan(LWDHW) and Erzhiwan(EZW), and to explore their preventive mechanisms from the phagocytic function of macrophages. MethodsTen-month-old post-breeding female mice were randomly divided into the blank group, soy isoflavone group(0.13 g·kg-1·d-1, mixed with feed), ZGW group(2.34 g·kg-1·d-1), LWDHW group(0.56 g·kg-1·d-1), and EZW group(4.68 g·kg-1·d-1). The mice were palpated every 3 d until the age of 18 months, and those with detected lumps were confirmed for tumor development through hematoxylin-eosin(HE) staining, and the incidence of breast cancer in mice was calculated. A total of 40 SPF-grade female SD rats were randomly divided into the blank serum group(physiological saline), ZGW drug-containing serum group(16.20 g·kg-1·d-1of ZGW), LWDHW drug-containing serum group(3.89 g·kg-1·d-1 of LWDHW) and EZW drug-containing serum group(32.40 g·kg-1·d-1 of EZW), each group was orally administered 3 times a day for 5 consecutive days. On the 5th day, blood was collected from the abdominal aorta 1 h after the last gavage to prepare drug-containing serum. The effect of drug-containing serum with different concentrations on the viability of RAW264.7 cells was assessed by cell counting kit-8(CCK-8). Taking 20% of drug-containing serum concentration as the research object, its effect on the expression levels of major histocompatibility complex-Ⅱ(MHC-Ⅱ), CD80 and CD86 on the surface of RAW264.7 cells was detected by immunofluorescence(IF), the phagocytic function of RAW264.7 cells was examined by flow cytometry, and the levels of interleukin-6(IL-6) and nitric oxide(NO) in RAW264.7 cells in the conditioned medium(CM) co culture system of 4T1 cells were detected by enzyme-linked immunosorbent assay(ELISA) and Griess assay. ResultsAfter prophylactic administration, the tumor incidence rates in the soy isoflavone group(4%), ZGW group(4%), LWDHW group(4%), and EZW group(6%) were lower than that in the blank group(8%). Compared with the blank serum group, the drug-containing serum of the three nourishing kidney Yin formulas could enhance the expression levels of MHC-Ⅱ, CD80 and CD86 on the surface of RAW264.7 cells, enhance phagocytic ability towards tumor cells, and reduce the content of IL-6 and increase the level of NO(P<0.05, P<0.01). ConclusionThe three nourishing kidney Yin formulas can reduce the incidence of tumor in mice, the mechanism may be related to activating RAW264.7 cells, increasing their phagocytosis to breast cancer cells, and regulating the secretion of IL-6 and NO.
3.Analysis on clinical efficacy of anterior cervical Hybrid surgery and posterior cervical expansive open-door laminopasty for multilevel cervical spondylotic myelopathy
Lixiang WANG ; Chungen LI ; Genzhe LIU ; Ziyi ZHAO ; Sihao ZHAO ; Chao CHEN ; Yonggang ZHU ; Wei LI
Journal of Jilin University(Medicine Edition) 2024;50(1):228-235
Objective:To analyze the efficacy of anterior cervical Hybrid surgery and posterior cervical expansive open-door laminoplasty(EODL)in the treatment of multilevel cervical spondylotic myelopathy,and to discuss the selection of surgical methods for the patients with multilevel cervical spondylotic myelopathy.Methods:The retrospective analysis was conducted of 70 patients with multilevel cervical spondylotic myelopathy who underwent surgery at Affilated Beijing Traditional Chinese Medicine Hospital of Capital Medical University from July 2017 to July 2020.Based on the different surgical methods,the patients were divided into anterior group(n=35)and posterior group(n=35).The patients in anterior group underwent Hybrid surgery[anterior cervical discectomy and fusion(ACDF)combined with artificial cervical disc replacement(ACDR)],and the patients in posterior group underwent EODL.The hospitalization time,operation time,intraoperative blood loss,and postoperative drainage volume of the patients in two groups were recorded;the efficacy was evaluated by Japanese orthopaedic association(JOA)score,JOA improvement rate,neck disability index(NDI),visual analogue scale(VAS)for pain,and postoperative satisfaction score;the complications of the patients in two groups after surgery were recorded.Results:Compared with posterior group,the intraoperative blood loss,postoperative drainage volume,hospitalization time,and operation time of the patients in anterior group were significantly decreased(P<0.01),and the preoperative score had no significant difference(P>0.05).At the final follow-up after surgery,compared with posterior group,the JOA score and JOA improvement rate of the patients in anterior group were significantly increased(P<0.01),and the NDI score and VAS score were significantly decreased(P<0.01).Compared with before surgery,the JOA scores of the patients in two groups at the final follow-up after surgery were increased(P<0.01),and the NDI and VAS scores were significant decreased(P<0.01).The postoperative satisfaction of the patients in two groups was high based on the postoperative satisfaction score.There was no significant difference in the incidence of postoperative complication of the patients between two groups(P>0.05).Conclusion:Both the anterior cervical Hybrid surgery and EODL achieve the satisfactory results in the treatment of multilevel cervical spondylotic myelopathy.Hybrid surgery has the advantages of less bleeding and shorter surgery time,and the most suitable surgical method should be chosen clinically based on the actual situation of the patients.
4.Modern Thinking on the Indications of Daoyin (导引) based on the Theory of "Wei (痿) Diseases should be Treated by Daoyin"
Yan YU ; Xueyin CHEN ; Lihong YANG ; Shaonan LIU ; Yu CHEN ; Lixiang LIU ; Ping YUE ; Jinpeng WU ; Xinfeng GUO
Journal of Traditional Chinese Medicine 2024;65(11):1170-1173
It has been proposed by Basic Questions On Proper Therapies for Different Diseases Geographically (《素问·异法方宜论篇》) that "wei (痿) diseases should be treated by Daoyin (导引)". Furthermore, it is clarified that the indications of Daoyin are those conditions related to spleen and dampness caused by dampness pathogen, excessive food intake and less exercise, and mainly manifested as heavy limbs, fatigue and flaccidity, which is similar to the metabolic imbalance in the early stage of glucose or lipid metabolism disorder in modern medicine. Based on modern clinical and basic research evidence, Daoyin can inhibit the response of inflammation, alleviate oxidative stress, regulate intestinal microbiota, and modulate gene expression to improve metabolic abnormalities, and this will provide ideas for researches on the indications of Daoyin.
5.DNA Methylation of KLRC1 and KLRC3 in Autoimmune Thyroiditis:Perspective of Different Water Iodine Exposure
Chen YAO ; Liu JINJIN ; Qu MENGYING ; Ren BINGXUAN ; Wu HUAIYONG ; Zhang LI ; Zhou ZHENG ; Liu LIXIANG ; Shen HONGMEI
Biomedical and Environmental Sciences 2024;37(9):1044-1055
Objective This study aimed to identify differentially methylated genes (DMGs) associated with natural killer cells in patients with autoimmune thyroiditis (AIT),focusing on the influence of varying water iodine exposure levels. Methods Participants were divided into categories based on median water iodine (MWI) concentrations:iodine-fortified areas (IFA,MWI<10 μg/L),iodine-adequate areas (IAA,40 ≤ MWI ≤ 100μg/L),and iodine-excessive areas (IEA,MWI>300 μg/L). A total of 176 matched AIT cases and controls were recruited and divided into 89,40,and 47 pairs for IFA,IAA,and IEA,respectively. DMGs were identified using 850K BeadChip analysis for 10/10 paired samples. Validation of DNA methylation and mRNA expression levels of the DMGs was conducted using MethylTarget? and QRT-PCR for 176/176 paired samples. Results KLRC1,KLRC3,and SH2D1B were identified as significant DMGs. Validation revealed that KLRC1 was hypomethylated and highly expressed,whereas KLRC3 was hypermethylated and highly expressed in individuals with AIT. Furthermore,KLRC1 was hypomethylated and highly expressed in both IFA and IEA. Conclusion The DNA methylation status of KLRC1 and KLRC3 may play crucial roles in AIT pathogenesis. Additionally,DNA methylation of KLRC1 seems to be influenced by different iodine concentrations in water.
6.Correlation between individualized coronary volumetric perivascular characterization index and coronary heart disease
Yanchun ZHANG ; Li CHENG ; Yue DAI ; Lixiang XIE ; Hao WANG ; Huan LIU ; Guangyi CHEN
Journal of Practical Radiology 2024;40(9):1444-1448
Objective To explore the correlation between coronary fat attenuation index of perivascular adipose tissue(FAIPVAT),as well as volumetric perivascular characterization index(VPCI),and coronary heart disease(CHD).Methods A total of 112 patients who underwent coronary computed tomography angiography(CCTA)and coronary angiography(CAG)examinations within 2 weeks were selected.The patients were divided into CHD group and control group according to the degree of coronary artery stenosis,and were divided into calcified plaque group,non-calcified plaque group and mixed plaque group according to the nature of plaque.The correlation between FAIPVAT,VPCI and CHD were evaluated.Results Of the 112 patients,71 patients in the CHD group and 41 patients in the control group.There were significant differences in gender,age,FAIPVAT and VPCI between the two groups.FAIPVAT and VPCI were positively correlated with CHD(r=0.445,P<0.01;r=0.669,P<0.01).FAIPVAT and VPCI were analyzed by receiver operating characteristic(ROC)curve,the area under the curve(AUC)of FAIPVAT was 0.770,the cut-off value was-81.659 HU,the sensitiv-ity was 0.592,and the specificity was 0.878,while the AUC of VPCI was 0.892,the cut-off value was 8.056,the sensitivity was 0.887,and the specificity was 0.805.There were significant differences in FAIPVAT and VPCI between non-calcified plaque group and calci-fied plaque group.FAIPVAT and VPCI of mixed plaque group and calcified plaque group were significantly different.Conclusion FAIPVAT and VPCI have some certain correlation with CHD.FAIPVAT and VPCI can accurately evaluate the risk level of CHD and coronary artery inflammation,and the value of individualized VPCI is higher.
7.Combined analysis of transcriptome and metabolome on the effect of virulence protein Mp1p from Talaromyces marneffei on macrophages
LIU Yuxuan ; WEI Wudi ; BAO Xiuli ; CHEN Lixiang ; ZHANG Baili ; HE Xiaotao ; YE Li ; JIANG Junjun ; LIANG Hao
China Tropical Medicine 2024;24(3):265-
Objective To explore the effect of Mp1p on host macrophages through transcriptomics combined with metabolomics. Methods Firstly, a THP-1 macrophage strain (THP-1-Mp1p+) stably expressing Mp1p was constructed using lentivirus. Secondly, using high-throughput RNA sequencing (RNA Seq) technology, the expression level of intracellular mRNA was detected in transcriptomics analysis to determine differentially expressed genes; In metabolomics analysis, metabolite identification was performed through database comparison, and pathway analysis was performed on differential metabolites to reveal potential mechanisms of action. Finally, the results of metabolomics and transcriptomics were combined for analysis, and differential metabolites and genes were analyzed to further elucidate the mechanism of action of Mp1p on macrophages. Results Transcriptome analysis showed that, compared with the negative control group, the THP-1-Mp1p+ group had a total of 1 180 differentially expressed genes (DEGs), with 345 upregulated genes and 835 downregulated genes. GO enrichment analysis of DEGs showed that there were 135 differentially expressed genes, including 105 in biological processes (BP), 28 in cellular components (CC), and 2 in molecular functions (MF). The KEGG analysis results showed that the effect of Mp1p on THP-1 macrophages was highly correlated with the TNF pathway. The metabolomic analysis found that both the blank control group and the THP-1-Mp1p+ macrophage group achieved good separation between QC samples in both positive and negative ion modes. The threshold for significant differential metabolites was set at: VIP≥1 and T-test P<0.05, resulting in the identification of 488 differential metabolites, with 230 in the positive ion mode and 258 in the negative ion mode. Pathway enrichment analysis of the identified metabolites pointed to significant enrichment in metabolic pathways. The combined analysis confirmed that the tumor necrosis factor signaling pathway, interleukin-17 signaling pathway, and NF-kappaB signaling pathway were important metabolic pathways involved. Conclusions The virulence factor Mp1p may affect host macrophages by modulating the tumor necrosis factor signaling pathway, interleukin-17 signaling pathway, and NF-kappaB signaling pathway. The findings contribute to a better understanding of the mechanisms of action of Mp1p and may offer potential directions for the selection of relevant diagnostic and therapeutic targets in the future.
8.An advanced machine learning method for simultaneous breast cancer risk prediction and risk ranking in Chinese population: A prospective cohort and modeling study
Liyuan LIU ; Yong HE ; Chunyu KAO ; Yeye FAN ; Fu YANG ; Fei WANG ; Lixiang YU ; Fei ZHOU ; Yujuan XIANG ; Shuya HUANG ; Chao ZHENG ; Han CAI ; Heling BAO ; Liwen FANG ; Linhong WANG ; Zengjing CHEN ; Zhigang YU
Chinese Medical Journal 2024;137(17):2084-2091
Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.
9.Application of abdominal massage in improving the quality of gastroscopy
Xueyun YE ; Xiaoqing HUANG ; Cuimei CHEN ; Yanting WANG ; Juan FENG ; Lixiang ZHOU
China Journal of Endoscopy 2024;30(11):66-73
Objective To study the effectiveness of pro-abdominal exercise in improving the quality of gastroscopy,and provide patients with a better preoperative preparation for gastroscopy.Methods 307 patients who underwent painless gastroscopy from March to July 2023 were selected and divided into three groups according to the random number table method.There were 106 cases in the abdominal massage group,103 cases in the bed turning group and 98 cases in the control group.On the basis of routine medication,different preoperative activity guidance was used to compare and analyze the preoperative preparation time,examination time and gastric mucosal visual field clarity score in each group.Results The gastroscopy time in the abdominal massage group and the bed-turning group was significantly shorter than that in the control group,and the clarity score of the gastric mucosal visual field was significantly lower than that of the control group,with statistically significant differences(P<0.05).However,there were no statistically significant differences in the gastroscopy time or visual field clarity score for gastric body,gastric fundus,and gastric antrum between the abdominal massage group and the bed-turning group(P>0.05).The satisfaction rate of endoscopists in the abdominal massage group and the bed turning group was higher than that in the control group,and the differences were statistically significant.Conclusion Abdominal massage and turning over in bed as preoperative preparation methods for gastroscopy can improve the quality of gastroscopy,while abdominal massage can shorten the preparation time before gastroscopy,which is helpful for the efficient operation of digestive endoscopy center and is worthy of clinical application.
10.Review on tuberculosis detection using deep learning
Haojie XIE ; Mingli LU ; Chen ZHANG ; Lixiang ZHOU ; Yidi TENG ; Mingming WANG
Chinese Journal of Medical Physics 2024;41(7):918-924
The automatic detection of tuberculosis lesions based on medical imaging has become a research hotspot in medical image processing.A comprehensive review of relevant researches and applications pertaining to deep learning in tuberculosis lesion detection is provided,which elucidates the experimental benchmarks in tuberculosis analysis,covering public datasets of pulmonary medical images and recent research advancements in tuberculosis detection and classification competitions,introduces emerging trends in deep learning methods and applications in tuberculosis detection,and analyzes the challenges existing in tuberculosis diagnosis using deep learning.The review summarizes and provides insights into the research advances and challenges of these technologies from the aspects of technical characteristics,performance advantages,and application prospects.


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