Objective:To improve the risk management process for clinical trial projects using healthcare failure mode and effect analysis(HFMEA), for references for enhancing the risk identification and preventing capabilities of drug clinical trial institutions.Methods:From June to December 2022, this study focused on the project management process of a clinical trial centre in a tertiary public hospital. Following HFMEA procedures, a research team was established. Core processes prone to failure modes in the drug clinical trial project management and their potential failure modes were identified through group discussions, literature analysis, the Delphi method, and decision tree analysis. High-risk failure modes were screened via risk assessment, corresponding improvement measures were formulated and performed, and their effectiveness was validated.Results:The study identified 6 main processes, 17 sub-processes, and 102 potential failure modes. Delphi analysis confirmed 88 failure modes, with 19 having a failure risk priority number(RPN)≥8.00. Decision tree analysis identified 16 high-risk failure modes, involving 5 main processes and 10 sub-processes. Targeted improvements, such as adopting standardized hospital contract templates and setting deadlines for final payment settlement, etc., were implemented. One year post-implementation(January 2024), the RPN for all 16 high-risk failure modes were<8.00.Conclusions:HFMEA could help hospital clinical trial institutions comprehensively and systematically identify high-risk failure modes in the project management process, develop targeted improvement measures, and improve the level of drug clinical trial project management.

Objective:To improve the risk management process for clinical trial projects using healthcare failure mode and effect analysis(HFMEA), for references for enhancing the risk identification and preventing capabilities of drug clinical trial institutions.Methods:From June to December 2022, this study focused on the project management process of a clinical trial centre in a tertiary public hospital. Following HFMEA procedures, a research team was established. Core processes prone to failure modes in the drug clinical trial project management and their potential failure modes were identified through group discussions, literature analysis, the Delphi method, and decision tree analysis. High-risk failure modes were screened via risk assessment, corresponding improvement measures were formulated and performed, and their effectiveness was validated.Results:The study identified 6 main processes, 17 sub-processes, and 102 potential failure modes. Delphi analysis confirmed 88 failure modes, with 19 having a failure risk priority number(RPN)≥8.00. Decision tree analysis identified 16 high-risk failure modes, involving 5 main processes and 10 sub-processes. Targeted improvements, such as adopting standardized hospital contract templates and setting deadlines for final payment settlement, etc., were implemented. One year post-implementation(January 2024), the RPN for all 16 high-risk failure modes were<8.00.Conclusions:HFMEA could help hospital clinical trial institutions comprehensively and systematically identify high-risk failure modes in the project management process, develop targeted improvement measures, and improve the level of drug clinical trial project management.

The intestine and liver are closely connected both physiologically and pathologically, forming a so-called gut-liver axis, with the gut microbiota serving as a pivotal link in their bidirectional communication. Gut microbiota dysbiosis and gut-liver axis disruption play a key role in the development and progression of colorectal cancer liver metastasis (CRLM), though the underlying mechanisms have not been clearly elucidated. Certain gut microbiota, such as Escherichia coli and Enterococcus spp., can breach the intestinal barrier and translocate to the liver, promoting the formation of pre-metastatic niche. Fusobacterium nucleatum and Enterococcus faecalis enhance tumor cell invasion/migration, while Parabacteroides spp. suppress anti-tumor immunity in the liver TME. Interventions like fecal microbiota transplantation, dietary modifications, and traditional Chinese medicine have shown potential in clinical and preclinical studies to improve patient outcomes by targeting the gut microbiota, but their long-term efficacy and safety require further investigation. Future research should focus on elucidating the effects of specific bacterial species, metabolites, viruses, and fungi on tumorigenesis. Exploring the potential of gut microbiota-based precision medicine and personalized therapies will improve risk stratification and enable more targeted interventions for CRLM patients.

The intestine and liver are closely connected both physiologically and pathologically, forming a so-called gut-liver axis, with the gut microbiota serving as a pivotal link in their bidirectional communication. Gut microbiota dysbiosis and gut-liver axis disruption play a key role in the development and progression of colorectal cancer liver metastasis (CRLM), though the underlying mechanisms have not been clearly elucidated. Certain gut microbiota, such as Escherichia coli and Enterococcus spp., can breach the intestinal barrier and translocate to the liver, promoting the formation of pre-metastatic niche. Fusobacterium nucleatum and Enterococcus faecalis enhance tumor cell invasion/migration, while Parabacteroides spp. suppress anti-tumor immunity in the liver TME. Interventions like fecal microbiota transplantation, dietary modifications, and traditional Chinese medicine have shown potential in clinical and preclinical studies to improve patient outcomes by targeting the gut microbiota, but their long-term efficacy and safety require further investigation. Future research should focus on elucidating the effects of specific bacterial species, metabolites, viruses, and fungi on tumorigenesis. Exploring the potential of gut microbiota-based precision medicine and personalized therapies will improve risk stratification and enable more targeted interventions for CRLM patients.

Objective:This study aims to analyze the clinical characteristics of elderly patients with lung adenocarcinoma and to construct a predictive model for assessing their survival.Methods:We conducted a retrospective analysis of clinical data sourced from the SEER database for patients aged 60 years or older who were diagnosed with lung adenocarcinoma between 2013 and 2018.Cox regression analysis was employed to identify independent prognostic factors affecting the survival of elderly lung adenocarcinoma patients, leading to the development of a nomogram model.The discriminative ability and calibration of the nomogram were assessed using the C-index and calibration curve.Each patient's total risk score was calculated based on the predictive model, and patients were stratified according to the quartiles of their total risk scores.The Kaplan-Meier method and Log-rank test were utilized to evaluate survival differences among the identified risk groups.Results:Among 38, 852 lung adenocarcinoma patients, 17, 200 were males and 21, 652 were females.Significant differences in survival rates were observed among lung adenocarcinoma patients based on age, gender, marital status, histological grade, TNM stage, tumor size, and the presence of bone, brain, or liver metastases, as well as the type of treatment received, including surgical treatment, radiation therapy, and chemotherapy(all P<0.001).The C-index of the training model was 0.815(95% CI: 0.811-0.819), while the validation model yielded a C-index of 0.810(95% CI: 0.804-0.816).The prediction model demonstrated higher Area Under Curve(AUC)values of 0.746, 0.768, and 0.775 for 1-year, 3-year, and 5-year survival in the modeling dataset, respectively, and 0.747, 0.770, and 0.777 in the validation dataset.Furthermore, the risk stratification model effectively distinguished patients at varying levels of risk( P<0.001). Conclusions:Age, gender, marital status, histological grade, TNM stage, tumor size, and the presence of bone, brain, and liver metastases, along with treatment modalities such as surgery, radiotherapy, and chemotherapy, were identified as independent prognostic factors for elderly patients with lung adenocarcinoma.The risk prediction model developed in this study effectively differentiates between patients at varying levels of risk, which holds significant implications for predicting treatment responses in elderly lung adenocarcinoma patients and advancing the practice of precision medicine.

Objective: To evaluate the distribution characteristics and health risk of trichloromethane (TCM) in the drinking water supply of primary and middle schools in rural areas of Tianjin, so as to provide a scientific basis for improving drinking water safety in rural schools. Methods: A total of 60 water samples from 30 rural primary and middle schools in 10 agricultural districts of Tianjin were collected from April to June (dry season) and July to October (wet season) in 2023 with direct selection method. The content of TCM was detected according to the Standard Methods for the Examination of Drinking Water, and a risk assessment method recommended by the United States Environmental Protection Agency was used to evaluate the health risk of TCM through oral exposure. Results: The concentration of TCM in drinking water was no detection to 54.00 μg/L, with an average of (13.44±14.88) μg/L, and the value was higher during the wet season [12.90(1.40,32.28)μg/L] than the dry season [2.40(1.40,18.13)μg/L] (Z=-2.09, P<0.05). The concentration of TCM for primary and middle schools were [3.38(1.40,20.75) μg/L] and [5.30(1.40,28.23)μg/L] respectively, and there was no statistically significant difference between different types of schools (Z=0.50, P>0.05). The carcinogenic risk through oral exposure ranged from 3.84×10-7 to 2.05×10-5, while the noncarcinogenic risk ranged from (0.00-0.16), all within the acceptable range. Children aged 6 to 9 years old were at the highest risk. Conclusions TCM has been detected in the drinking water of rural primary and middle schools to a certain extent in Tianjin, and attention should be paid to the potential health risks of oral exposure. The monitoring and management of disinfection byproducts in drinking water should be strengthened to further reduce the risk of exposure to children.

As a classic prescription for invigorating spleen and replenishing qi, Sijunzi Decoction has a good clinical efficacy in the treatment of gastric cancer. It can improve chemotherapy resistance, reduce the toxic and side effects of chemotherapy, promote postoperative recovery, enhance immunity, improve the nutritional status of patients, improve the quality of life of patients and prevent precancerous lesions. Network pharmacology studies have shown that Sijunzi Decoction exerts anti-gastric cancer effects through multiple active ingredients, multiple targets and multiple pathways, and quercetin may be the main active component in Sijunzi Decoction to exert anti-gastric cancer effects. The main mechanisms of Sijunzi Decoction in the treatment of gastric cancer include regulating the expression of cell cycle and apoptosis-related gene proteins, and inhibiting the proliferation, migration, invasion and gastric cancer stem cell characteristics of gastric cancer cells.

OBJECTIVE To observe the effect of Huangjing Jiangya Decoction on blood pressure and sleep in patients with hy-pertension of qi-deficiency type accompanied by insomnia.METHODS 73 patients with hypertension of qi-deficiency type accompa-nied by insomnia who met the inclusion criteria were selected and randomly divided into an observation group of 36 cases and a control group of 37 cases.The control group was treated with amlodipine besylate tablets,and the observation group was given Huangjing Jian-gya Decoction oral treatment on the basis of the control group.Both groups were treated continuously for 8 weeks.The changes in TCM syndrome scores,office blood pressure monitoring(OBPM),home blood pressure monitoring(HBPM),24-hour ambulatory blood pressure monitoring(ABPM),Pittsburgh Sleep Quality Index(PSQI)scores and clinical efficacy of the two groups of patients before and after treatment were observed.RESULTS After treatment,the TCM syndrome scores in the observation group were significantly decreased(P<0.05,P<0.01),which were better than the control group(P<0.01);OBPM and HBMP in both groups were signifi-cantly reduced(P<0.05,P<0.01),the observation group was better than the control group(P<0.05,P<0.01);the ABPM of the observation group was significantly reduced(P<0.01),which was better than the control group(P<0.05,P<0.01);the sleep quali-ty,sleep latency,sleep duration,daytime dysfunction score and PSQI total score of the observation group were significantly decreased(P<0.01),which were better than those in the control group(P<0.05,P<0.01);the clinical efficacy of hypertension and insomnia in the observation group was both better than the control group(P<0.01).CONCLUSION Huangjing Jiangya Decoction combined with amlodipine can improve the symptoms of patients with hypertension of qi-deficiency type accompanied by insomnia,lower blood pressure,improve sleep quality,shorten sleep latency,alleviate daytime dysfunction,and has good clinical efficacy.

Objective:To explore the demand and actual supply of community-based care services for the elderly residents and the factors that affecting care mode for them in the context of rapid urbanization and population aging in China.Methods:Based on the cross-sectional data of the seventh China Longitudinal Survey on Health and Longevity(CLHLS)(2018), 15 854 elderly residents aged 60 and above were selected as the research population.Logistic regression method was used to analyze the patterns of community-based care services and their influencing factors.Results:Among 15 854 elderly residents, 6 912(43.60%)were male and 8 942(56.40%)were female.The results of activities of daily living(ADL)evaluation showed that 11 109 elderly residents could take care of themselves completely, and 3 889 elderly residents were disabled.The disability rate was 25.93%.The proportion of social services that elderly town dwellers expect the community to provide is higher than those living in cities and rural areas in terms of daily care, spiritual care, providing health care knowledge, and dealing with neighborhood disputes.From the perspective of social services actually provided by the community, in addition to providing home-based care, the proportion of community services available to the elderly living in towns and rural areas are similar, but significantly lower than the proportion of social services provided for elderly city dwellers.Age, marital status, residence, cultural differences, health status, source of life and living preference had significant impacts on the choice of care demand patterns.Those of older age( OR=2.29, 95% CI: 1.04-5.03 for 70-79 years old; OR=2.94, 95% CI: 1.38-6.25 for elderly 80 years old or above), having no spouse( OR=3.50, 95% CI: 2.49-4.92), and with higher levels of disability( OR=4.24, 95% CI: 3.12-5.77 for mild disability; OR=7.54, 95% CI: 5.19-10.95 for moderate disability; OR=10.50, 95% CI: 7.59-14.53 for severe disability)are more inclined to choose socialized care. Conclusions:In the process of rapid urbanization in China, the demands for care services of elderly living in towns has increased, but the actual care services provided for them by the communities are yet to be improved.Moreover, elderly town dwellers are still inclined to family care, the same as those of elderly rural dwellers.

Objective:The Clinical Research Coordinator (CRC) is responsible for transcribing and verifying clinical trial data, and making recommendations to research institutions and sponsors on clinical trial data through analyzing and discussing data problems found in CRC work assessment, thereby improving the quality of clinical trials.Methods:Based on the ALOCA+ Principle, this study analyzed the data problems found in CRC assessment based on clinical trial quality conducted in a grade A tertiary hospital in Beijing from November 2018 to December 2021, and discussed improvement measures for clinical trial data problems.Results:Among the clinical trial data problems, data integrity is the most prominent, followed by accuracy.Conclusions:Research institutions and sponsors should improve the data management system and SOP, strengthen the training for clinical trial participants, optimize a trial plan and process design, strengthen supervision and inspection, and establish a risk-based quality control system, etc., so as to make clinical trial data conform to the international ALOCA+ principle and make clinical trial results accurate and reliable.