The exploration and pilot studies of applying blockchain to drug supply chain show great potential in promoting information sharing, collaboration competence among the actors, regulatory efficiency, and etc. In the future, with the help of blockchain, the optimization of the entire supply chain for orphan drugs is expected to be realized. However, there is no such exploration in China at present. This paper systematically sorts out the whole process of supply chain for orphan drugs and the existing problems of the chain. The article concludes that at present, blockchain is mainly used in the " circulation" and " use" of the drug supply chain. It helps to improve the traceability of drugs, to cope with the problem of counterfeit drugs, to enable actors of the drug supply chain to form a collaborative network in optimizing resource allocation, and to improve the operation and supervision efficiency of the supply chain. In the future, the application faces challenges such as high costs in system conversion, lack of personnel awareness, and incomplete supporting systems. Based on the three dimensions of technology, practice, and research, this paper also looks into the future and suggests for the future use of blockchain in the supply chain of orphan drugs by constructing a practice model, the so called DI-GIVE (Digital, Intelligence, Government′s supervision, Innovation, Views of variety, Evaluation-based) hoping to innovate the supply chain of orphan drugs and to ensure the drug use for the patients with rare diseases in China.

Background The Inner Mongolia Autonomous Region is a vast area with a wide array of ecological environments, resulting in considerable regional variations in air pollution characteristics. Current research is limited by a scarcity of systematic, region-wide studies and risk assessments. Objective To assess the health risks associated with inhalation exposure to nine heavy metal and metalloid elements in atmospheric fine particulate matter (PM_2.5) for the population of the Inner Mongolia Autonomous Region. Methods From the 10th to the 16th of each month throughout 2023, atmospheric PM_2.5 samples were collected at designated monitoring sites in 12 leagues (cities) across the Inner Mongolia Autonomous Region to analyze the characteristics and trends in concentration. The health risk assessment model developed by the United States Environmental Protection Agency was employed to evaluate both the non-carcinogenic and carcinogenic risks associated with the heavy metal elements beryllium (Be), cadmium (Cd), chromium (Cr), hydrargyrum (Hg), plumbum (Pb), manganese (Mn), and nickel (Ni) and the metalloid elements stibium (Sb) and arsenic (As). Results In 2023, a total of 1206 valid PM_2.5 samples were analyzed from the Inner Mongolia Autonomous Region. The annual average PM_2.5 concentrations in Inner Mongolia, as well as in the cities of Ordos, Wuhai, and the Alxa League, all exceeded the national limit of 35 μg·m⁻³. The PM_2.5 concentrations across the leagues (cities) exhibited a clear seasonal variation, peaking in winter, followed by spring, and reaching a minimum in summer and autumn. The median PM_2.5 concentration in Ordos throughout the year was higher than that in the other leagues (cities) of the region. Concerning health risks, the non-carcinogenic risks associated with the 9 elements detected in each league (city) were all below 1, indicating acceptable levels. However, the non-carcinogenic risk values for Mn, Cr, and As were relatively high; specifically, Ordos City displayed the highest non-carcinogenic risk values for Mn (7.74×10⁻¹) and Cr (2.97×10⁻²), while Chifeng City recorded the highest value for As (2.34×10⁻³). The carcinogenic risk values for As, Cd, Cr, and Ni fell within the range of 1×10⁻⁹ to 1×10⁻⁵, representing an acceptable level. The health risks varied with age, and the elderly residents faced the highest non-carcinogenic and carcinogenic health risks. Conclusion While the carcinogenic and non-carcinogenic risks from heavy metals and metalloids within atmospheric PM_2.5 in the Inner Mongolia Autonomous Region are generally within acceptable limits, the potential risks that Mn, As, and Cr pose to the health of elderly people warrants particular attention, and Ordos and Chifeng cities exhibit notably higher health risks among other areas. It is recommended that regular, long-term monitoring be conducted, taking into account the specific conditions at monitoring sites across each league (city), and that targeted air quality management strategies be implemented to protect public health.

Objective To analyze the influencing factors of frailty in elderly patients with lower extremity osteoarthritis,and to construct and validate the risk assessment model.Methods Convenient sampling method was used to select 535 elderly patients with lower extremity osteoarthritis from tertiary hospitals and community health service centers in Hangzhou from January to September 2022 as the survey subjects including 357 in the modeling group and 178 in the validation group.Univariate and multivariate logistic regression analysis were used to determine the risk factors of frailty,construct a risk assessment model and draw a nomogram.The discrimination and calibration of the model were evaluated by the area under the receiver operating characteristic curve and the Hosmer-Lemeshow test.The Bootstrap method was used for intemal validation of the model,and the time verification method was used for external validation.Results The model variables included the number of affected joints,age-adjusted Charlson comorbidity index,pain,nutritional status,sedentary time,activity of daily living,osteoarthritis index,lower limb muscle strength,and Social Support Rating Scale score.The Hosmer-Lemeshow test results of the model showed that P=0.202,the area under the receiver operating characteristic curve was 0.942,the optimal critical value was 0.392,the sensitivity was 0.914,the specificity was 0.893,and the accuracy rate was 0.902.The internal and external validation showed that the C-statistics were 0.935 and 0.919,respectively,and the calibration curve showed good fitting.Conclusion The risk assessment model has a good degree of discrimination and calibration,which can more intuitively and easily screen elderly patients with lower extremity osteoarthritis at high risk of frailty,and provide references for early monitoring,identification,prevention and control.

OBJECTIVE To develop a standard of hierarchical management for patients with chronic obstructive pulmonary disease （COPD） from the perspective of pharmacists. METHODS The triangle hierarchical management model was used as the framework. Through literature research， the indicators of the hierarchical management standard for COPD patients were preliminarily compiled. A questionnaire was designed and administered to 18 experts， and Delphi method was conducted in two rounds to determine the contents of the standard. RESULTS The response rates for both rounds of expert consultation were 100%， with both authority coefficients of experts of 0.903 and Kendall coordination coefficiens of 0.279 and 0.189 for each indicator. The final established standard of hierarchical management for COPD patients included 25 stratified indicators and 17 pharmaceutical hierarchical management indicators. There were 9， 8 and 8 indicators in the high-risk， medium-risk， and stable layers， respectively， considering three aspects： disease， medication， and self-management level. The corresponding first-level， second- level， and third-level pharmaceutical management included 6， 6 and 5 indicators， respectively， including inhalation technical guidance， medication adherence guidance， treatment monitoring， and follow-up， etc. CONCLUSIONS The standard of hierarchical management for COPD patients established by Delphi method is scientific and reliable， which can provide a reference for pharmacists to carry out hierarchical management of COPD patients in China.

Objective To explore the effect of a mobile health intervention model based on self-determination theory on subthreshold depression in breast cancer patients.Methods By convenience sampling method,74 patients with breast cancer subthreshold depression who received chemotherapy in the breast department of a tertiary hospital in Guangxi from July 2021 to August 2022 were selected as the research subjects.According to the order of admission time,the patients admitted from February 2022 to August 2022 were taken as an experimental group,and the patients admitted from July 2021 to January 2022 were taken as a control group,with 37 cases in each group.On the basis of routine nursing,the experimental group implemented a mobile health intervention model based on self-determination theory.The control group received routine nursing,with every 21 days for 1 cycle and a total of 4 cycles of intervention.Before and after the intervention,the Centre for Epidemiological Studies Depression Scale(CES-D),Hamilton Rating Scale for Depression(HAMD-17),Basic Psychological Needs Satisfaction Scale(BPNS)and Functional Assessment of Cancer Therapy-Breast(FACT-B)were used to evaluate the intervention effect.Results 34 patients in the experimental group and 36 patients in the control group completed the study.After intervention,the CES-D score and HAMD-17 score of the 2 groups were lower than those before intervention(P＜0.05);the CES-D score and HAMD-17 score of the experimental group were lower than those of the control group,and the difference was statistically significant(t=7.748,P＜0.001;t=8.150,P＜0.001).The BPNS scores of the 2 groups were higher than those before the intervention,and the BPNS score of the experimental group was significantly higher than that of the control group(t=-6.534,P＜0.001).The scores of FACT-B in the 2 groups were higher than those before the intervention,and the scores of FACT-B in the experimental group were significantly higher than those in the control group(t=-4.579,P＜0.001).Conclusion The mobile health intervention model based on self-determination theory can improve the subthreshold depression,self-determination and quality of life of breast cancer patients.

Objective:To assess the efficacy of neoadjuvant treatment with PD-1 (programmed cell death protein 1) inhibitors combined with paclitaxel (albumin-conjugated) and cisplatin (TP regimen) for locally advanced hypopharyngeal squamous cell carcinoma and laryngeal organ function preservation.Methods:Data of 53 patients, including 51 males and 2 females, aged 38-70 years old, who were diagnosed with locally advanced hypopharyngeal squamous carcinoma confirmed by histology and enhanced CT at the Cancer Prevention and Control Center of Sun Yat-sen University during the initial treatment from January 1, 2019 to January 15, 2023, were retrospectively analyzed. All patients received neoadjuvant therapy with PD-1 inhibitors combined with albumin-bound paclitaxel (260 mg/m 2) and cisplatin (60 mg/m 2) for 3 to 4 cycles. The main outcome measures were larynx dysfunction-free survival (LDFS), overall survival (OS), and progression-free survival (PFS). Survival curves were plotted using the Kaplan-Meier method, and Cox multifactorial analysis was further performed if Cox univariate analysis was statistically significant. Results:The overall efficiency was 90.6% (48/53). The 1-year and 2-year LDFS rates were 83.8% (95% CI: 74.0% to 94.8%) and 50.3% (95% CI: 22.1% to 91.6%), the 1-year and 2-year OS rates were 95.2% (95% CI: 88.9% to 100.0%) and 58.2% (95% CI: 25.6% to 81.8%), and the 1-year and 2-year PFS rates were 83.9% (95% CI: 74.2% to 94.9%) and 53.5% (95% CI: 32.1% to 89.1%). Adverse events associated with the neoadjuvant therapy were mainly myelosuppression (45.3%), gastrointestinal reactions (37.7%) and hypothyroidism (20.8%). Conclusion:The neoadjuvant treatment of locally advanced hypopharyngeal squamous cell carcinoma using PD-1 inhibitors combined with paclitaxel and cisplatin can provide with a higher survival rate with a improved laryngeal organ function preservation rate.

Background The safety of drinking water is closely related to people's health. In recent years, relevant studies have identified some health related problems with drinking water in Inner Mongolia Autonomous Region. The complex and diverse natural environment embraced by the vast jurisdiction of the region may lead to uneven drinking water quality across the region. Objective To evaluate eight chemicals including arsenic, cadmium, chromium (hexavalent), lead, mercury, fluoride, trichloromethane, and carbon tetrachloride in urban drinking water in Inner Mongolia Autonomous Region in 2021, and to provide reference for optimizing urban water supply system and ideas for further developing strategies to promote population health. Methods A total of 1228 monitoring sites were set up in urban areas of Inner Mongolia, and water samples were collected once in dry season (May) and once in wet season (August−September). Eight chemicals of interest in drinking water were detected according to the Standard examination methods for drinking water, and assessed for health risks using the health risk assessment model recommended by the United States Environmental Protection Agency (USEPA) and following the Technical guide for environmental health risk assessment of chemical exposure. Mann-Whitney U test was used to compare the concentrations of eight chemicals in urban drinking water by water seasons and water sample types. Results In 2021, a total of 2381 samples of urban drinking water were tested in the Inner Mongolia Autonomous Region, including 1195 samples in wet season and 1186 samples in dry season; 389 samples of finished water and 1992 samples of tap water. The positive rates of arsenic and fluoride were 26.25% and 96.77%, respectively. The positive rates of cadmium, chromium (hexavalent), lead, mercury, trichloromethane, and carbon tetrachloride were 6.22%, 16.63%, 6.09%, 16.67%, 18.98%, and 8.36%, respectively. The exceeding standard rate of fluoride was 4.87%. Trichloromethane and carbon tetrachloride were qualified in all samples. There were statistical differences in the concentrations of arsenic, cadmium, chromium (hexavalent), lead, and carbon tetrachloride in urban drinking water between water seasons (Z=−3.847, P<0.05; Z=2.464, P=0.014; Z=−3.129, P=0.002; Z=4.341, P<0.05; Z=4.342, P<0.05). Only fluoride concentration was found statistically different among different water sample types (Z=−2.287, P=0.022). The non-carcinogenic risks of ingestion and dermal exposure to each chemical in drinking water by water seasons and water sample types were all less than 1, but the P₉₅ total non-carcinogenic risks of oral exposure were greater than 1. The P₉₅ carcinogenic risks of oral exposure to some chemicals in drinking water by water seasons and water sample types were>10⁻⁴, which suggested carcinogenic risks, while the carcinogenic risks of dermal explore to chemicals were all less than 10⁻⁶. Conclusion In 2021, urban drinking water in Inner Mongolia Autonomous Region is generally safe, but arsenic, cadmium, chromium (hexavalent), lead, mercury, and fluoride still exceed the national limits, posing certain health risks.

OBJECTIVES: Intracerebral hemorrhage (ICH) has the highest mortality and disability rates among various subtypes of stroke. Previous studies have shown that the gut microbiome (GM) is closely related to the risk factors and pathological basis of ICH. This study aims to explore the causal effect of GM on ICH and the potential mechanisms. METHODS: Genome wide association study (GWAS) data on GM and ICH were obtained from Microbiome Genome and International Stroke Genetics Consortium. Based on the GWAS data, we first performed Mendelian randomization (MR) analysis to evaluate the causal association between GM and ICH. Then, a conditional false discovery rate (cFDR) method was conducted to identify the pleiotropic variants. RESULTS: MR analysis showed that Pasteurellales, Pasteurellaceae, and Haemophilus were negatively correlated with the risk of ICH, whileVerrucomicrobiae, Verrucomicrobiales, Verrucomicrobiaceae, Akkermansia, Holdemanella, and LachnospiraceaeUCG010 were positively correlated with ICH. By applying the cFDR method, 3 pleiotropic loci (rs331083, rs4315115, and rs12553325) were found to be associated with both GM and ICH. CONCLUSIONS There is a causal association and pleiotropic variants between GM and ICH.
Humans ; Genome-Wide Association Study ; Gastrointestinal Microbiome/genetics* ; Genetic Predisposition to Disease ; Cerebral Hemorrhage/genetics* ; Stroke

OBJECTIVE To study the chemical composition and analgesia molecular mechanism of Shuanghu Zhongtongning tincture by UPLC-Q-TOF-MS/MS and network pharmacology. METHODS By comparing the chromatogram and blank chromatogram of Shuanghu Zhongtongning tincture, combined with PubChem, HMDB, MassBank database spectrum and the lysis information of reference substance, the chemical composition of Shuanghu Zhongtongning tincture was analyzed and identified. Protein-protein interaction network was constructed by using STRING database, and potential targets of analgesic effect of Shuanghu Zhongtongning tincture were screened. And GO and KEGG enrichment analysis were performed to analyze the core pathways related to analgesia. The network of "chemical composition-disease-target" was constructed by Cytoscape software to analyze the key compounds related to analgesia. RESULTS Seventeen core components of neochlorogenic acid, chlorogenic acid, hesperidin, neohesperidin, ferulic acid, berberine, ursolic acid, deoxyaconitine, mesaconitine, hypaconitine, benzoylmesaconine, benzoylhypacoitine, caffeic acid, quercetin, oleanolic acid, 4-hydroxycinnamic acid and mefenamic acid were identified, 3 core targets of STAT3, MAPK3 and MAPK1 were found, and 4 key signaling pathways of IL-17, TNF, PI3K-Akt and arachidonic metabolism were revealed. CONCLUSION This study preliminarily clarifies the chemical composition of Shuanghu Zhongtongning tincture and potential mechanism of analgesic effect, and provides a scientific theoretical basis for the study on the material basis and mechanism of Shuanghu Zhongtongning tincture.

In 2016, a national one million general population cohort project was set up in China for the first time in "Precision Medicine Research" Key Project, National Key Research and Development Program of China, which consists of general population cohorts in seven areas in China. As one of the seven major areas in China, northeastern China has unique climate and specific dietary patterns, and population aging is serious in this area. And the burden of chronic and non-communicable diseases ranks tops in China. Therefore, it is of great significance to establish a large general population cohort in northeastern China to explore the area specific exposure factors related to pathogenesis and prognosis of chronic and non-communicable diseases, develop new prevention strategies to reduce the burden of the diseases and improve the population health in northeastern China. In July 2018, the general population cohort study in northeastern China was launched, the study includes questionnaire survey, health examination and blood, urine and stool sample collection and detection in recruited participants. By now, the cohort has covered all age groups, and the baseline data of 115 414 persons have been collected. This paper summarizes the design and practice of the general population cohort study in northeastern China to provide reference for related research in China.