This article summarizes Professor HAN Mingxiang's clinical experience in treating lung cancer based on the theory of "deficiency-phlegm-stasis-toxin". It is believed that depletion of healthy qi， together with binding of phlegm and stasis forming into toxin is the core pathogenesis of lung cancer occurrence and development. In clinical practice， the core treatment principle should be reinforcing healthy qi， resolving phlegm， removing stasis， and relieving toxins. The treatment should be given based on syndrome differentiation. For the syndrome of lung-spleen qi deficiency， the self-formulated Jianpi Huatan Zhike Decoction （健脾化痰止咳汤） can be applied to fortify the spleen and replenish qi， thereby reinforcing healthy qi. For the syndrome of deficiency of both qi and yin， the self-formulated Shenmai Yuzhu Decoction （参麦玉竹汤） is used to nourish yin and moisten the lungs， thereby clearing the source. For the syndrome of phlegm-dampness accumulating in the lungs， the self-formulated Sizi Wenfei Decoction （四子温肺汤） is applied to warm the lungs and resolve phlegm， thereby diffusing the lung qi. For the syndrome of qi stagnation and blood stasis， the self-formulated Yiqi Zhuyu Decoction （益气逐瘀汤） is used to activate blood and resolve stasis， thereby unblocking the collaterals. For the syndrome of binding of phlegm and stasis， the self-formulated Jiejie Decoction （结节方） is utilized to resolve phlegm and remove stasis， thereby dissipating nodules. For the syndrome of lung deficiency with toxin accumulation， the self-formulated Qiyu Sanlong Decoction （芪玉三龙汤） is applied to reinforce healthy qi and remove toxins， thereby combating cancer. Medications are flexibly prescribed based on syndrome differentiation， with an emphasis on reinforcing healthy qi and eliminating pathogenic factors， and maintaining the balance of zang-fu （脏腑） organ functions as well as qi， blood， yin and yang.

Objective The mechanism of Huazhuo xingxue decoction(HZXXD)in the treatment of ischemic stroke was explored through network pharmacology,molecular docking and cell validation.Methods TCMSP,TCMID,BATMAN-TCM database and literature search were used to get the chemical components and related target proteins of Huazhuo Xingxue Decoction,and the targets of dementia,stroke and amnesia were obtained from Genecards database and OMIM database.The traditional Chinese medicine-active components-target-network and protein interaction map were constructed by using Cytoscape,and the target was enriched by KEGG pathway by David database.Western blot was used to investigate the effect of HZXXD on inflammation-related core targets expression using oxygen and glucose deprivation/reoxygenation cell model.Finally,Autodock was used for molecular docking of key active ingredients and important targets to evaluate their binding activity.Results 76 active molecules and 33 common targets of herb-disease were screened out.KEGG bioaccumulation results involve multiple inflammatory signal pathways such as TNF,chemical carcinogenesis-reactive oxygen species and HIF-1.TNF-α was found to be the core target of HZXXD by oxygen glucose deprivation/reoxygenation cell experiments.Five compounds with the strongest binding ability to TNF-α,kaempferol,apigenin,aloe-emodin,baicalein and stigasterol,were screened by traditional Chinese medicine-active ingredient-target network map and molecular docking.Conclusion Huazhuo Xingxue Decoction may down regulate the expression of core target TNF-α,kaempferol,apigenin,aloe emodin,baicalein and stigasterol may be the main active substances for TNF-α binding.

The risk prediction of paroxysmal atrial fibrillation (PAF) is a challenge in the field of biomedical engineering. This study integrated the advantages of machine learning feature engineering and end-to-end modeling of deep learning to propose a PAF risk prediction method based on multimodal feature fusion. Additionally, the study utilized four different feature selection methods and Pearson correlation analysis to determine the optimal multimodal feature set, and employed random forest for PAF risk assessment. The proposed method achieved accuracy of (92.3 ± 2.1)% and F1 score of (91.6 ± 2.9)% in a public dataset. In a clinical dataset, it achieved accuracy of (91.4 ± 2.0)% and F1 score of (90.8 ± 2.4)%. The method demonstrates generalization across multi-center datasets and holds promising clinical application prospects.
Humans ; Atrial Fibrillation/diagnosis* ; Machine Learning ; Deep Learning ; Risk Assessment/methods*

Objective The mechanism of Huazhuo xingxue decoction(HZXXD)in the treatment of ischemic stroke was explored through network pharmacology,molecular docking and cell validation.Methods TCMSP,TCMID,BATMAN-TCM database and literature search were used to get the chemical components and related target proteins of Huazhuo Xingxue Decoction,and the targets of dementia,stroke and amnesia were obtained from Genecards database and OMIM database.The traditional Chinese medicine-active components-target-network and protein interaction map were constructed by using Cytoscape,and the target was enriched by KEGG pathway by David database.Western blot was used to investigate the effect of HZXXD on inflammation-related core targets expression using oxygen and glucose deprivation/reoxygenation cell model.Finally,Autodock was used for molecular docking of key active ingredients and important targets to evaluate their binding activity.Results 76 active molecules and 33 common targets of herb-disease were screened out.KEGG bioaccumulation results involve multiple inflammatory signal pathways such as TNF,chemical carcinogenesis-reactive oxygen species and HIF-1.TNF-α was found to be the core target of HZXXD by oxygen glucose deprivation/reoxygenation cell experiments.Five compounds with the strongest binding ability to TNF-α,kaempferol,apigenin,aloe-emodin,baicalein and stigasterol,were screened by traditional Chinese medicine-active ingredient-target network map and molecular docking.Conclusion Huazhuo Xingxue Decoction may down regulate the expression of core target TNF-α,kaempferol,apigenin,aloe emodin,baicalein and stigasterol may be the main active substances for TNF-α binding.

Objective:To systematically integrate the qualitative research on effective pain management disorders of cancer patients and caregivers, and to provide reference for patients and caregivers to safely and effectively implement cancer pain management.Methods:The qualitative studies on the experiences and obstacles of cancer patients and caregivers in cancer pain management were retrieved from electronic databases of PubMed, Web of Science, Cochrane Library, Embase, CINAHL, China National Knowledge Infrastructure, China Biology Medicine, VIP and Wanfang data from inception to September 2023. The quality of the literature was evaluated according to Joanna Briggs Institute Evidence Based Healthcare Center Critical Appraisal Tool for qualitative studies in Australia. Meta-synthesis was used to conduct the synthesis.Results:A total of 9 articles were included, and 46 research results were extracted, forming 14 categories, which were further summarized into 4 integrated results: patient-related pain management disorders, caregiver-related pain management disorders, medical staff-related pain management disorders, and health care system-related pain management disorders.Conclusions:Multiple factors cause obstacles for cancer patients and caregivers to participate in pain management. Medical staff should have a deep understanding of patients′pain problems and explore pain management plans and interventions suitable for cancer patients, so as to reduce the degree of cancer pain management obstacles.

Objective To investigate the feasibility and clinical experience of kidney transplantation from donors with Marfan syndrome (MFS). Methods Clinical data of 2 recipients undergoing kidney transplantation from the same MFS patient were retrospectively analyzed and literature review of 2 cases was conducted. Characteristics and clinical diagnosis and treatment of kidney transplantation from MFS patients were summarized. Results The Remuzzi scores of the left and right donor kidneys of the MFS patient during time-zero biopsy were 1 and 2. No significant difference was observed in the renal arteriole wall compared with other donors of brain death and cardiac death. Two recipients who received kidney transplantation from the MFS patient suffered from postoperative delayed graft function. After short-term hemodialysis, the graft function of the recipients received the left and right kidney began to gradually recover at postoperative 10 d and 20 d. After discharge, serum creatinine level of the recipient received the left kidney was ranged from 80 to 90 μmol/L, whereas that of the recipient received the right kidney kept declining, and the lowest serum creatinine level was 232 μmol/L before the submission date (at postoperative 43 d). Through literature review, two cases successfully undergoing kidney transplantation from the same MFS donor were reported. Both two recipients experienced delayed graft function, and then renal function was restored to normal. Until the publication date, 1 recipient has survived for 6 years, and the other recipient died of de novo cerebrovascular disease at postoperative 2 years. Conclusions MFS patients may serve as an acceptable source of kidney donors. However, the willingness and general conditions of the recipients should be carefully evaluated before kidney transplantation. Intraoperatively, potential risk of tear of renal arterial media should be properly treated. Extensive attention should be paid to the incidence of postoperative complications.

Diabetic foot has become one of the heavy burdens of global public health problems. As a revolutionary emerging technology, artificial intelligence has the advantages of accuracy, intelligence and efficiency, which can make up for the shortcomings of traditional risk assessment, monitoring and management of diabetic foot. This paper reviews the application of artificial intelligence in risk prediction model of diabetic foot, wound image analysis, and intelligent wearable devices, analyzes the challenges and suggestions faced in technical barriers, data quality, and talent shortage, so as to provide a reference for the clinical practice of artificial intelligence in the field of diabetic foot.

Objective:To explore the influence of central obesity on the risk of breast cancer and the possible role of dietary factors in its prevention.Methods:This study is a case-control study including a total of 212 participants, of whom 63 were with breast cancer, 71 were with breast nodules, and 80 were healthy controls. We used bioelectrical impedance analysis to measure body composition,and adopted the food frequency questionnaire to investigate dietary intake of participants.Results:The visceral adipose tissue ( OR=1.03, 95% CI: 1.003 to 1.077) and trunk fat mass ( OR=1.470, 95% CI: 1.104 to 2.184) were independently associated with the increased risk of breast cancer. Dietary patterns characterized by low dietary intake of beans and dairy products ( OR=1.300, 95% CI: 1.044 to 1.619) and high intake of cereals and red meat ( OR=2.254, 95% CI: 1.705 to 2.982) will increase the risk of breast cancer. Moreover, high meat intake ( β=0.268, 95% CI: 0.034 to 0.503) would advance the accumulation of visceral fat, while high bean intake ( β=-0.485, 95% CI: -0.865 to -0.104) would inhibit. Conclusions:Central obesity is an independent risk factor for breast cancer. Insufficient intake of beans and excessive intake of red meat are identified as factors that can exacerbate central obesity in breast cancer patients.

Electronic Health Records (EHRs) are digital health tools that support comprehensive care and digital services. This paper provides an overview of EHRs, summarizes their current applications in palliative care, and proposes solutions to address issues in the use of EHRs in this field. The aim is to offer reference points for promoting the application of EHRs in palliative care in China.

Oxidative Phosphorylation ; Acetylglucosamine ; Uridine Diphosphate N-Acetylglucosamine/metabolism*