BackgroundPerceived discrimination has been identified as a main risk factor for depression in maintenance hemodialysis patients. Chronic Illness Rejection and Discrimination Scale （CIRDS） is a measure for assessing perceived discrimination in individuals with chronic disease. However， the Chinese version of CIRDS for maintenance hemodialysis patients has not yet been established. ObjectiveTo translate CIRDS into Chinese version and evaluate its reliability and validity in maintenance hemodialysis patients， so as to provide an effective tool for assessing the perceived discrimination among maintenance hemodialysis patients. MethodsThe Brislin's model for translation， back-translation， cross-cultural adaptation and pre-experimentation was utilized to develop a Chinese version of CIRDS. A coherent of 250 maintenance hemodialysis patients attending Taihe Hospital Affiliated to Hubei Medical College， from July to October 2023 were selected as the research subjects. The formal scale was refined by employing item analysis， exploratory factor analysis and confirmatory factor analysis. The validity of the scale was evaluated using content validity and construct validity. The reliability of the scale was evaluated using Cronbach's α coefficient， test-retest reliability and split-half reliability. ResultsThe Chinese version of CIRDS consisted of 11 items， including 2 factors （perceived discrimination and perceived rejection）. The scale-level content validity index （S-CVI） value was 0.898 and the item-level content validity index （I-CVI） values ranged from 0.875 to 1.000. Two common factors were extracted by exploratory factor analysis and explained 65.41% of the total variance. Confirmatory factor analysis also indicated that the model provided a good fit for the data. The Cronbach's α coefficient of the scale was 0.910， with Cronbach's α coefficients of 0.835 and 0.912 for the perceived discrimination and perceived rejection， respectively. The split-half reliability of the scale was 0.803， and the test-retest reliability was 0.920. ConclusionThe Chinese version of CIRDS has excellent reliability and validity， which can be used to evaluate the perceived discrimination in maintenance hemodialysis patients.

[Objective] To evaluate the participation rate of voluntary blood donation among college students in China by meta-analysis. [Methods] CNKI, Wan Fang Data, VIP, Pub Med, Web of science and Embase databases were searched to collect cross-sectional studies on the participation rate of voluntary blood donation among college students from the establishment of the database to August 10, 2024. Two researchers independently screened the literature, extracted the data and assessed the risk of bias of the included studies, and then used Stata16.1 software for meta-analysis. [Results] Finally, 36 articles were included, with a total of 37 348 research subjects and 11 541 college students participating in voluntary blood donation. The meta-analysis results showed that the participation rate of college students in voluntary blood donation in China was 34.0% [95% CI (31.0,37.0)]. The sub group analysis results showed that the participation rate of college students in voluntary blood donation in different regions was 36.1% [95% CI (24.1, 48.1)] in the eastern region, 30.2% [95% CI (26.8, 33.6)] in the central region, and 35.1% [95% CI (31.0, 39.3)] in the western region, with the eastern region higher than the central and western regions (P<0.001); The participation rate of college students in voluntary blood donation during different research periods was 32.0% before 2020 [95% CI (31.4, 32.6)] and 27.1% after 2020 [95% CI (26.3, 27.9)], with before 2020 higher than after 2020 (P<0.001); The participation rate of voluntary blood donation among college students of different genders is 36.8% for males [95% CI (32.8, 40.9)] and 28.5% for females [95% CI (24.8, 32.2)], with males higher than females (P<0.001); The participation rate of college students in voluntary blood donation among different academic backgrounds was 26.8% for associate degree students [95% CI (23.1, 30.5)], 26.4% for undergraduate students and above [95% CI (22.9, 29.8)], with no statistically significant difference (P>0.05); The participation rate of college students in voluntary blood donation among different majors is 46.4% [95% CI (34.4, 58.4)] for medical majors and 29.1% [95% CI (22.1, 36.0)] for non-medical majors, with medical majors higher than non-medical majors (P<0.001); The participation rate of college students in voluntary blood donation among different grades is 27.7% [95% CI (24.3, 31.2)] for second grade and below, 33.7% [95% CI (26.4, 40.9)] for third grade and above, with the latter higher than the former (P<0.001); The participation rate of college students in voluntary blood donation among different household registrations is 24.7% in urban areas [95% CI (21.5, 27.8)] and 26.8% in rural areas [95% CI (22.1, 31.4)], with no statistically significant difference (P>0.05); The participation rate of college students in voluntary blood donation among different family attitudes was 43.3% in support [95% CI (18.5, 68.2)] and 37.8% in non support [95% CI (26.6, 48.9)], with no statistical difference (P>0.05); The participation rate of college students in voluntary blood donation was 35.7% [95% CI (27.8, 43.5)] among those who were aware of the blood donation policies, and 24.7% [95% CI (13.7, 35.7)] among those who were not aware, with the former higher than the latter (P<0.001); The participation rate of voluntary blood donation among college students was 47.8% [95% CI (34.5, 61.0)] among those who were aware of blood donation knowledge and 38.0% [95% CI (22.1, 53.9) among those who were not aware, with the former higher than the latter (P<0.001). [Conclusion] There is still room for improvement in the rate of voluntary blood donation among college students, and the government should plan the overall situation of blood collection, and cooperate with colleges and universities to play the main role of donation publicity, and correctly identify potential donors, so as to improve the participation rate of voluntary blood donation among college students and promote the development of voluntary blood donation.

Objective To explore the effects of empathy technology on emotion regulation, sleep improvement and quality of life improvement in patients with first benign paroxysmal positional vertigo (BPPV). Methods A total of 100 patients with the first BPPV in The Second Affiliated Hospital of Naval Medical University from December 2023 to November 2024 were selected, and were divided into control group and observation group by random number table method. The patients in both groups received routine reduction treatment and outpatient follow-up every 3 months after discharge, with a total of 4 follow-up visits. The patients in control group received routine health and psychological education; on this basis, the patients in observation group received empathy technique intervention before, during, after reposition and during follow-up. The emotion, sleep and quality of life scales were evaluated before intervention and at the 4th outpatient follow-up. The recurrence rates of BPPV within 1 year after discharge were compared between the two groups. Results One year after discharge, self-rating anxiety scale (SAS), self-rating depression scale (SDS), symptom checklist 90 (SCL-90) and Pittsburgh sleep quality index (PSQI) scores in the observation group were lower than those in the control group, and multi-dimensional quality of life scores in the observation group was higher than that in the control group. These differences were statistically significant (P＜0.05). The recurrence rate of BPPV in the observation group was lower than that in the control group 1 year after discharge (P＜0.05). Conclusions Empathy technology intervention can further improve emotion, sleep quality, and quality of life, but reduce disease recurrence rate in first BPPV patients receiving routine treatment and health education, so it can be widely used in clinical practice.

This study aims to explore the impact of host plants on the quality of Taxilli Herba and provide a theoretical basis for the quality control of Taxilli Herba. The components of Taxilli Herba from three different host plants(Morus alba, Salix babylonica, and Cinnamomum cassia) and its 3 hosts(mulberry branch, willow branch, and cinnamon branch) were detected by widely targeted metabolomics based on ultra-high performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS). Principal component analysis(PCA), orthogonal partial least squares discriminant analysis(OPLS-DA), and Venn diagram were employed for analysis. A total of 717 metabolites were detected in Taxilli Herba from the three host plants and the branches of these host plants by UPLC-MS/MS. The results of PCA and OPLS-DA of Taxilli Herba from the three different host plants showed an obvious separation trend due to the different effects of host plants. The Venn diagram showed that there were 32, 8, and 26 characteristic metabolites in samples of Taxilli Herba from M. alba host, S. babylonica host, and C. cassia host, respectively. It was found by comparing the characteristic metabolites of Taxilli Herba and its hosts that each host transmits its characteristic components to Taxilli Herba, so that the Taxilli Herba contains the characteristic components of the host. The Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis showed that the differential metabolites of Taxilli Herba from the three hosts were mainly enriched in flavonoid biosynthesis, arginine and proline metabolism, and glycolysis/gluconeogenesis pathways. Furthermore, the differential metabolites enriching pathways of Taxilli Herba from the three hosts were different depending on the host. In a word, host plants have a significant impact on the metabolites of Taxilli Herba, and it may be an important factor for the quality of Taxilli Herba.
Metabolomics/methods* ; Drugs, Chinese Herbal/chemistry* ; Chromatography, High Pressure Liquid ; Tandem Mass Spectrometry ; Quality Control ; Salix/chemistry* ; Cinnamomum aromaticum/metabolism* ; Principal Component Analysis

This study aimed to characterize and identify the non-volatile components in aqueous and ethanolic extracts of the stems and leaves of Rhododendron tomentosum by using sensitive and efficient ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS) combined with a self-built information database. By comparing with reference compounds, analyzing fragment ion information, searching relevant literature, and using a self-built information database, 118 compounds were identified from the aqueous and ethanolic extracts of R. tomentosum, including 35 flavonoid glycosides, 15 phenolic glycosides, 12 flavonoids, 7 phenolic acids, 7 phenylethanol glycosides, 6 tannins, 6 phospholipids, 5 coumarins, 5 monoterpene glycosides, 6 triterpenes, 3 fatty acids, and 11 other types of compounds. Among them, 102 compounds were reported in R. tomentosum for the first time, and 36 compounds were identified by comparing them with reference compounds. The chemical components in the ethanolic and aqueous extracts of R. tomentosum leaves and stems showed slight differences, with 84 common chemical components accounting for 71.2% of the total 118 compounds. This study systematically characterized and identified the non-volatile chemical components in the ethanolic and aqueous extracts of R. tomentosum for the first time. The findings provide a reference for active ingredient research, quality control, and product development of R. tomentosum.
Rhododendron/chemistry* ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Plant Leaves/chemistry*

Delirium is a common cause and complication of hospitalization in the elderly and is associated with higher risk of future dementia and progression of existing dementia, of which 70% is Alzheimer's disease (AD). AD and delirium, which are known to be aggravated by one another, represent significant societal challenges, especially in light of the absence of effective treatments. The intricate biological mechanisms have led to numerous clinical trial setbacks and likely contribute to the limited efficacy of existing therapeutics. Artificial intelligence (AI) presents a promising avenue for overcoming these hurdles by deploying algorithms to uncover hidden patterns across diverse data types. This review explores the pivotal role of AI in revolutionizing drug discovery for AD and delirium from target identification to the development of small molecule and protein-based therapies. Recent advances in deep learning, particularly in accurate protein structure prediction, are facilitating novel approaches to drug design and expediting the discovery pipeline for biological and small molecule therapeutics. This review concludes with an appraisal of current achievements and limitations, and touches on prospects for the use of AI in advancing drug discovery in AD and delirium, emphasizing its transformative potential in addressing these two and possibly other neurodegenerative conditions.

ObjectiveTo investigate the current status of emergency management for severe mental disorders in Shanghai, and to provide countermeasures and suggestions for the establishment of a sound emergency management system for severe mental disorders and the enhancement of emergency management capability. MethodsA questionnaire survey and qualitative interviews were used to conduct an investigation into the emergency management in 17 district-level mental illness prevention and control institutions in Shanghai, which includes the basic situation of emergency management for severe mental disorders, the construction of emergency response teams and personnel, emergency preparedness drills and training, emergency management plans and rules and regulations, and problems encountered in emergency management. ResultsIn terms of emergency management mechanism and basic situation, resources such as personnel allocation, security funds and green channel were well equipped in each district-level mental illness prevention and control institution in Shanghai. However, the equipment of some hardware facilities was still insufficient to some extent. Therefore, further improvement on the emergency management mechanism for severe mental disorders was needed. With regard to the construction of emergency team and personnel allocation, the majority were those aged between 35‒<45 years old, with a bachelor’s degree, and more than 10 years of working experience. For example, 90.27% staff in district-level mental illness prevention and control institution had a bachelor’s degree or above, which was higher than that among the staff in community-level (73.60%); staff majored in clinical medicine in district-level institution accounted for the proportion at 52.71%, higher than that among the staff in community-level (28.86%); 57.24% staff in district-level institution had an intermediate professional title, higher than that among the staff in community-level (42.28%); and 69.90% staff in district-level institution had more than 10 years of working experience, higher than that among the staff in community-level (43.62%). In the aspect of emergency drills and training, all district-level mental illness prevention and control institutions in Shanghai had a high demand for emergency training, and the weak aspects mainly focused on lack of emergency service protocols, skills of addressing technical challenges, and construction of effectiveness evaluation system. Moreover, the teaching methods were primarily centered on case analysis, simulation drills, interactive discussions, and so forth. Concerning emergency management plans and rules and regulations, all districts in Shanghai had relatively established well-developed systems for emergency response plans, emergency response leadership groups, and emergency response operational task forces for severe mental disorders. About half of the institutions had established other rules and regulations related to emergency management of severe mental disorders in addition to emergency plans. ConclusionShanghai has initially established an emergency management system for severe mental disorders, but it is still fragile in specialized training for emergency management of severe mental disorders, construction of emergency management mechanisms, and the building-up of grassroots emergency teams. Further priorities should include strengthening emergency management training, enhancing the construction of emergency management personnel teams, and gradually establishing a more comprehensive and integrated emergency management mechanism for severe mental disorders.

Objective To explore the clinical value of artificial intelligence (AI) quantitative parameters in distinguishing pathological grades of stageⅠ invasive adenocarcinoma (IAC). Methods Clinical data of patients with clinical stageⅠ IAC admitted to Yantaishan Hospital Affiliated to Binzhou Medical University from October 2018 to May 2023 were retrospectively analyzed. Based on the 2021 WHO pathological grading criteria for lung adenocarcinoma, IAC was divided into gradeⅠ, grade Ⅱ, and grade Ⅲ. The differences in parameters among the groups were compared, and logistic regression analysis was used to evaluate the predictive efficacy of AI quantitative parameters for grade Ⅲ IAC patients. Parameters were screened using least absolute shrinkage and selection operator (LASSO) regression analysis. Three machine learning models were constructed based on these parameters to predict grade Ⅲ IAC and were internally validated to assess their efficacy. Nomograms were used for visualization. Results A total of 261 IAC patients were included, including 101 males and 160 females, with an average age of 27-88 (61.96±9.17) years. Six patients had dual primary lesions, and different lesions from the same patient were analyzed as independent samples. There were 48 patients of gradeⅠ IAC, 89 patients of grade Ⅱ IAC, and 130 patients of grade Ⅲ IAC. There were statitical differences in the AI quantitive parameters such as consolidation/tumor ratio (CTR), ect among the three goups. (P<0.05). Univariate analysis showed that the differences in all variables except age were statistically significant (P<0.05) between the group gradeⅠ+grade Ⅱand the group grade Ⅲ . Multivariate analysis suggested that CTR and CT standard deviation were independent risk factors for identifying grade Ⅲ IAC, and the two were negatively correlated. Grade Ⅲ IAC exhibited advanced TNM staging, more pathological high-risk factors, higher lymph node metastasis rate, and higher proportion of advanced structure. CTR was positively correlated with the proportion of advanced structures in all patients. This correlation was also observed in grade Ⅲ but not in gradeⅠand grade ⅡIAC. CTR and CT median value were selected by using LASSO regression. Logistic regression, random forest, and XGBoost models were constructed and validated, among which, the XGBoost model demonstrated the best predictive performance. Conclusion Cautious consideration should be given to grade Ⅲ IAC when CTR is higher than 39.48% and CT standard deviation is less than 122.75 HU. The XGBoost model based on combined CTR and CT median value has good predictive efficacy for grade Ⅲ IAC, aiding clinicians in making personalized clinical decisions.

The paper explores the etiology and pathogenesis of chronic fatigue syndrome (CFS), and its diagnosis and treatment with acupuncture and moxibustion based on "body-qi-mind trinity life view". It is believed that CFS refers to the comorbidity of body, qi and mind. In the disease, spleen deficiency in transportation and transformation is the root, resulting in malnutrition of muscles; liver qi stagnation is the pivot, causing dysfunction of three jiao; and disharmony between heart and kidney is crucial, leading to dysfunction of mind. The strategy of treatment with acupuncture and moxibustion is proposed, "relieving general pain of the body as the top priority, regulating qi is the pivot, and housing the mind is the foundation". For relieving general pain of the body, acupuncture is applied to Sanyinjiao (SP6) and Zusanli (ST36) that is the essential prescription to relieve muscular pain. For regulating qi, Waiguan (TE5) and Gongsun (SP4) are selected to promote the pivot of shaoyang and regulate qi movement of three jiao. For housing the mind, acupuncture is delivered at Shenmen (HT7) and moxibustion is applied to Yongquan (KI1), Gaohuang (BL43) and Baihui (GV20) to harmonize the heart and kidney and tranquilize the mind. This intervention mode, i.e. harmonizing among body, qi and mind, and promoting the circulation of qi and blood, is conductive to restoring the body, qi and mind. It provides a new idea to clinical diagnosis and treatment of CFS with acupuncture and moxibustion.
Humans ; Moxibustion ; Fatigue Syndrome, Chronic/physiopathology* ; Acupuncture Therapy ; Qi ; Acupuncture Points ; Male ; Female

With the increasing utilization of cancer therapy, the incidence of lung injury associated with these treatments continues to rise. The recognition of pulmonary toxicity related to cancer therapy has become increasingly critical, for which interstitial lung disease (ILD) is a common cause of mortality. Cancer therapy-related ILD (CT-ILD) can result from a variety of treatments including chemotherapy, targeted therapy, immune checkpoint inhibitors, antibody-drug conjugates, and radiotherapy. CT-ILD may progress rapidly and even be life-threatening; therefore, prompt diagnosis and timely treatment are crucial for effective management. This review aims to provide valuable information on the risk factors associated with CT-ILD; elucidate its underlying mechanisms; discuss its clinical features, imaging, and histological manifestations; and emphasize the clinical-related views of its diagnosis. In addition, this review provides an overview of grading, typing, and staging treatment strategies used for the management of CT-ILD.
Humans ; Lung Diseases, Interstitial/diagnosis* ; Neoplasms/therapy* ; Risk Factors ; Immune Checkpoint Inhibitors/adverse effects* ; Antineoplastic Agents/therapeutic use*