1.Visual evaluation of medical humanistic care based on the concept of implementation science
Xuancheng CHEN ; Yangyi CHEN ; Huiling LI ; Mengyun PENG ; Fanli TIAN ; Xiaojun ZHOU ; Zhisong HE ; Chen FANG
Chinese Medical Ethics 2026;39(2):194-200
ObjectiveTo introduce visual teaching into the course design of medical humanistic care based on the concept of implementation science, evaluate the teaching implementation effect and feedback, and provide references for optimizing course teaching outcomes and improving students’ humanistic care competence. MethodsA visual teaching program for medical humanistic care was designed, with key steps including clarifying teaching objectives, content, methods, and curriculum assessment. This program was implemented in the medical humanistic care course teaching involving 50 elective students. Multi-dimensional evaluation of teaching effectiveness was conducted through course grades, visual teaching evaluation, and humanistic workshop assessment, combined with inductive content analysis of students’ learning experiences in the workshops. ResultsThe 50 students achieved above-average course grades (89.60±3.41) and demonstrated high satisfaction with the overall course and visual teaching. All the 6 groups obtained relatively high scores in the medical humanistic care workshops. Four themes were extracted, namely, enhancing humanistic care competencies, deepening familial and interpersonal relationships, realizing emotional expression and self-growth, and strengthening integration of humanistic care concepts with practice. ConclusionThe teaching of medical humanistic care course has achieved favorable effects, which contributes to deepening students’ understanding of humanistic care and enhancing their humanistic care competence. Students demonstrate high levels of recognition and satisfaction with the course.
2.A qualitative study on the driving forces for oncology nurses’ participation in palliative care work
Xinyao YUAN ; Pengyun LI ; Sujuan HAO ; Fen WANG ; Dan XU ; Jiahe LI ; Xuancheng CHEN ; Huiling LI
Chinese Medical Ethics 2026;39(3):358-364
ObjectiveTo explore the driving forces for oncology nurses’ participation in palliative care work, thereby providing a theoretical basis for the improvement of education and training, incentive mechanisms, and other aspects of the palliative care nursing staff. MethodsEmploying a qualitative research method, semi-structured interviews lasting 40-60 minutes were conducted with 14 nurses who had participated in palliative care work. The interview data were analyzed using the Colaizzi seven-step analysis method. ResultsInternal positive driving forces were job interest, empathy, and a sense of professional responsibility, while the negative was low psychological resilience. External positive driving forces included high work support, professional identity, mutual benefits for nurses and patients, and positive patient attitudes, whereas negative driving forces comprised busy routine clinical work, lack of a reward and incentive system, and bland or negative patient attitudes. ConclusionIt is essential to provide a flexible platform for the enhancement of nurses’ professional capabilities in palliative care, intensify the publicity of palliative care and death education; intervene and guide nurses’ negative emotions, improve and implement relevant incentive systems, and standardize the job recognition and scope of responsibilities of palliative care nurses.
3.Programmed Cell Death in Endometriosis and Traditional Chinese Medicine Intervention: A Review
Zuoliang ZHANG ; Wanrun WANG ; Wen LI ; Xue HAN ; Xiaohong CHEN ; Nan SU ; Huiling LIU ; Quansheng WU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(4):48-57
Endometriosis (EMT) is a common disease with frequent occurrence and difficult to be cured in modern clinical practice of obstetrics and gynaecology. It is characterized by progressively worsening dysmenorrhoea, pelvic mass, and infertility. The incidence of EMT is growing and increasingly younger patients are diagnosed with this disease, which poses a serious threat to the reproductive and psychological health of women of childbearing age and adolescent females. However, the pathogenesis of EMT is still not completely clear, and the disease has a long course. Therefore, developing new therapies is an urgent clinical problem to be solved. Great progress has been achieved in the treatment of EMT with traditional Chinese medicine (TCM), while the underlying mechanism remains in exploration. Programmed cell death (PCD) is a cell death mode mediated by a variety of bio-molecules with specific signaling cascades. The known PCD processes include apoptosis, pyroptosis, autophagy, ferroptosis, and cuproptosis, which all play a pivotal role in the development of EMT. Researchers have made achievements in the treatment of EMT with TCM, which regulates PCD via multiple pathways, routes, targets, and mechanisms. However, the progress in the regulation of PCD in the treatment of EMT with TCM remains to be reviewed. This paper reviews the research progress in the treatment of EMT with TCM from five PCD processes (apoptosis, pyroptosis, autophagy, ferroptosis, and cuproptosis), with the aim of providing a theoretical basis for the clinical prevention and treatment of EMT.
4.Latent profile analysis and influencing factors of self-management ability in patients with metabolic-associated fatty liver disease
Yingfen ZHANG ; Feifei YU ; Er CHEN ; Meiling LIU ; Ruiming LIANG ; Suijuan PENG ; Huiling LIANG ; Yafang HE
Chinese Journal of Health Management 2025;19(11):915-922
Objective:To analyze the latent profile characteristics of self-management ability in patients with metabolic-associated fatty liver disease (MAFLD) and explore its influencing factors.Methods:This was a cross-sectional study. A total of 311 patients with metabolic-associated fatty liver disease (MAFLD) were selected from the First Affiliated Hospital of Sun Yat-sen University (including those receiving treatment and undergoing physical examinations) between August and October 2024. Data were collected using a general information questionnaire, the self-management Scale for Patients with Non-Alcoholic Fatty Liver Disease, and the Social Support Rating Scale. After excluding 51 patients due to incomplete questionnaire responses or logical inconsistencies, 260 patients were finally included in the analysis. Latent profile analysis was used to identify potential categories of patients′ self-management abilities. With the latent categories as the dependent variable and items with P<0.05 in univariate analysis as independent variables, a multivariate logistic regression analysis (with the "poor self-management group" as the reference group) was performed to explore the influencing factors. Results:Among the 260 participants included in the study, three potential categories of self-management behaviors were finally identified, namely the active self-management group with 106 cases (40.8%), the moderate self-management group with 118 cases (45.4%), and the passive self-management group with 36 cases (13.8%).Results of multivariate logistic regression analysis showed that, compared with the passive self-management group:Patients who resided in rural areas ( OR=0.130, 95% CI: 0.040-0.420), often stayed up late ( OR=0.200, 95% CI: 0.060-0.590), or had an average daily sleep duration of≤5 hours ( OR=0.160, 95% CI: 0.050-0.510) had a significantly lower probability of belonging to the "active self-management group";In contrast, patients with an education level of senior high school or above ( OR=7.530, 95% CI: 1.740-34.160) or a higher total score of social support ( OR=1.120, 95% CI: 1.030-1.210) had a significantly higher probability of being in the "active self-management group" (all P<0.05). Conclusion:There is heterogeneity in self-management ability among patients with metabolic associated fatty liver disease (MAFLD). Residential area, educational level, frequency of staying up late, average daily sleep duration, and social support are influencing factors of patients′ self-management ability.
5.Correlation between serum uric acid/high-density lipoprotein cholesterol ratio and the risk of hypertension in elderly physical examination populations
Meihao WU ; Tao LI ; Zhiping GUO ; Xiaoxin SHI ; Fengming SU ; Jing WANG ; Dongyao ZHAO ; Huiling CHEN ; Qianying ZHAO ; Changchang QU ; Shangyi WANG
Chinese Journal of Health Management 2025;19(7):515-522
Objective:To explore the correlation between serum uric acid/high-density lipoprotein cholesterol ratio (UHR) and the risk of hypertension in elderly physical examination populations.Methods:This study was a cross-sectional study. A total of 1 028 patients aged≥60 years who underwent physical examinations at the Health Management Center of Fuwai Central China Cardiovascular Hospital from September 2023 to February 2024 were included in this study. The general demographic data, past medical history, physical examination and laboratory examination indicators of the physical examiners were collected, and according to whether they had hypertension or not, they were divided into hypertension group (390 cases) and non-hypertension group (638 cases), and all UHR values were arranged from small to large, and the UHR was divided into three groups by tertiles of UHR, and the general data and blood biochemical indexes between the groups were compared. Spearman rank correlation was used to analyze the correlation between UHR level and body mass index, total cholesterol, triglyceride and other indexes in the elderly population. Logistic regression was used to explore the relationship between UHR level and hypertension in the elderly population, and the stratification analysis of the physical examination population was carried out according to diabetes, coronary heart disease and dyslipidemia, and the interaction test between groups was carried out.Results:Among the 1 028 geriatric physical examination cases, 580 (56.4%) were males and 448 (43.6%) were females, aged (66.7±5.8) years. UHR levels were higher in the hypertensive group compared to the non-hypertensive group [248.88 (191.19, 322.25) vs 213.52 (165.94, 275.29); Z=-5.445, P<0.05]. With the increase of UHR level, the detection rate of hypertension in the elderly population increased (accounted for 27.8%, 38.2% and 47.8%, respectively; χ2=29.211, P<0.05). Spearman rank correlation analysis showed that UHR was positively correlated with body mass index, triglycerides, serum uric acid, serum creatinine and fasting blood glucose ( r=0.318, 0.334, 0.774, 0.474, 0.080; all P<0.05), and negatively correlated with total cholesterol, glomerular filtration rate and low-density lipoprotein cholesterol ( r=-0.239, -0.303, -0.154; all P<0.05). When the confounding factors were not adjusted (model 1), the risk of hypertension in high UHR group was 2.382 times higher than that in low UHR group and 1.607 times higher than that in medium UHR group; after adjusting for all confounding factors such as age, gender, body mass index, systolic blood pressure, diastolic blood pressure, junior high school education or below, smoking, alcohol consumption, glomerular filtration rate, etc., the risk of hypertension in the high-level UHR group was 1.732 times higher than that in the low-level UHR group (95% CI: 1.139-2.635) ( P<0.05). The elderly physical examination population was further stratified according to whether there was diabetes, dyslipidemia and coronary heart disease, and it was found that there was no interaction between UHR and diabetes, dyslipidemia and coronary heart disease on the prevalence of hypertension (all P>0.05). Conclusions:Hypertension detection rate increases with higher UHR levels. UHR is closely related to the incidence of hypertension in the elderly population.
7.Protective effects of exerkine on cardiovascular system.
Journal of Central South University(Medical Sciences) 2025;50(4):714-723
Cardiovascular disease (CVD) poses a serious threat to human health. Exercise plays an important role in both the prevention and treatment of CVD and is one of the key non-pharmacological interventions. Exercise can regulate the level of exerkine secreted by different tissue cells, directly affect the cardiovascular system or play a role in cardiovascular protection by improving cardiovascular risk factors. Exerkine such as meteorin-like protein (Metrnl), brain-derived neurotrophic factor (BDNF), fibroblast growth factor 21 (FGF21), and exosomal microRNA (miRNA) play an important role in regulating vascular and cardiac diseases such as atherosclerosis, heart failure, cardiac ischemia-reperfusion and myocardial infarction, as well as their risk factors. Exploring the signaling pathways and mechanisms by which Metrnl, BDNF, FGF21, and exosomal miRNAs exert cardiovascular protective effects can provide novel insights into exercise-based strategies for preventing and treating cardiovascular diseases.
Humans
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Cardiovascular Diseases/prevention & control*
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Exercise/physiology*
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Fibroblast Growth Factors/physiology*
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MicroRNAs/metabolism*
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Brain-Derived Neurotrophic Factor/physiology*
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Cardiovascular System/physiopathology*
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Exosomes/metabolism*
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Signal Transduction
8.Exploration of the Etiology,Pathogenesis and Syndrome Differentiation in the Treatment of Liver Cancer by Renowned Traditional Chinese Medicine Practitioner Changquan Ling from the Perspective of"Dispersing Qi and Fortifying the Body Resistance"
Mingxing ZHU ; Yuqian WANG ; Jue YANG ; Yufei ZHANG ; Jiaojiao CHEN ; Yujun LUO ; Huiling ZHOU ; Rui HAN
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(3):717-723
Hepatocellular carcinoma(HCC),as the most common type of liver cancer,poses a significant threat to global public health due to its high incidence and mortality rates.This paper delves into the etiology,pathogenesis,and syndrome differentiation of liver cancer from the perspective of"dispersing qi and fortifying the body resistance",based on the clinical experience of renowned traditional Chinese medicine(TCM)practitioner,Prof.Changquan Ling.Prof.Ling believes that the development of liver cancer is closely related to the disruption of liver qi flow,the accumulation of blood stasis over time,and the generation of toxin from long-term stagnation,accompanied by pathological changes such as imbalance of yin and yang,deficiency of the body's vital qi and accumulation of pathogenic factors,and internal blazing of cancer toxins.In terms of treatment,he emphasizes the principles of dispersing qi and fortifying the body resistance,addressing both the root cause and symptoms.This is achieved by regulating the functions of viscera,improving the stagnation of qi flow,and supplemented by methods such as clearing heat and detoxifying,and softening and dispersing hard masses,aiming to break the vicious cycle of qi stagnation,deficiency of vital qi,and pathogenic factor generation,thereby promoting the recovery from the disease.Through detailed analysis of clinical cases,this paper demonstrates Prof.Ling's unique insights and significant efficacy in treating liver cancer through"dispersing qi"to"fortify the body resistance",ultimately achieving"tumor suppression".This provides new references and perspectives for the clinical diagnosis and treatment of liver cancer in TCM.
9.Graph Neural Networks and Multimodal DTI Features for Schizophrenia Classification: Insights from Brain Network Analysis and Gene Expression.
Jingjing GAO ; Heping TANG ; Zhengning WANG ; Yanling LI ; Na LUO ; Ming SONG ; Sangma XIE ; Weiyang SHI ; Hao YAN ; Lin LU ; Jun YAN ; Peng LI ; Yuqing SONG ; Jun CHEN ; Yunchun CHEN ; Huaning WANG ; Wenming LIU ; Zhigang LI ; Hua GUO ; Ping WAN ; Luxian LV ; Yongfeng YANG ; Huiling WANG ; Hongxing ZHANG ; Huawang WU ; Yuping NING ; Dai ZHANG ; Tianzi JIANG
Neuroscience Bulletin 2025;41(6):933-950
Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans
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Schizophrenia/pathology*
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Diffusion Tensor Imaging/methods*
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Male
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Female
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Adult
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Brain/metabolism*
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Young Adult
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Middle Aged
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White Matter/pathology*
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Gene Expression
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Nerve Net/diagnostic imaging*
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Graph Neural Networks

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