Objective To explore the predicted precision of discharged patients number using curve estimation combined with trend-season model. Methods Curve estimation and trend-season model were both applied, and the quarterly number of discharged patients of 363 hospital from 2009 to 2015 was collected and analyzed in order to predict discharged patients in 2016. Relative error between predicted value and actual number was also calculated. Results An optimal quadratic regression equation Yt=3 006.050 1+202.350 8×t–3.544 4×t2 was established (Coefficient of determination R2=0.927, P<0.001), and a total of 23 462 discharged patients were predicted based on this equation combined with trend-season model, with a relative error of 1.79% compared to the actual number. Conclusion The curve estimation combined with trend-season model is a convenient and visual tool for predicting analysis. It has a high predicted accuracy in predicting the number of hospital discharged patients or outpatients, which can provide a reference basis for hospital operation and management.
Basing on development of medical model, new national diagnostic standard is interpreted according to three aspects: classification, diagnostic standard, and diagnostic contents. Tracheobronchial tuberculosis and tuberculous pleurisy are added into the classification. The value of molecular and pathological techniques for diagnosis of the pulmonary tuberculosis is emphasized. The status of drug-resistance is included in the diagnostic content. Two opinions are suggested: some practical methods such as diagnostic chemotherapy are indicated in some grassroots areas, while new molecular techniques for detection of DNA/RNA of mycobacteria and resistant mutation are encouraged in some suitable institutions.
The "All of Us" research program is a research project supported by the National Institutes of Health. By recruiting over 1 million volunteers residing in the United States, the project builds a strong research resource to promote the exploration of biological, clinical, social, and environmental determinants of health and disease. This paper introduced the design plan of the "All of Us" research program systematically and provided information that can be used for the construction of a million natural population cohort of precision medicine in China.
West China Hospital of Sichuan University as a national-level regional medical center in the western part of the country, focused on the actual situation in Tibet and actively carried out precision health poverty alleviation work. Guided by " precision”, the hospital has built a close-knit medical association – Hospital of Tibet People’s Government in Chengdu Office, and through the comprehensive improvement of medical care, teaching, scientific research, and management, creates a medical and health service system with Tibet characteristics. Combining " blood transfusion” and " hematopoietic” to build a " West China Model” for precision health poverty alleviation, West China Hospital of Sichuan University fully demonstrates the public welfare and responsibility of a national-level regional medical center, and constantly exerts regional radiation and leading role, promotes the medical and health service system continuous improvement in Tibet.
Precision medicine is a medical paradigm founded on individual genetic information amalgamated with extensive clinical data to offer patients precise diagnoses and treatments. Genetic testing forms the cornerstone of accurate diagnosis, and skilled professionals in fields like clinical medicine, molecular biology, and bioinformatics play a crucial role in realizing the potential of precision medicine. This paper presents reference suggestions for the continuing education approach for relevant technical personnel. The main emphasis is on conducting routine face-to-face and hands-on training to enhance theoretical knowledge and professional skills. Secondly, there is a need to modify the training approach by reinforcing molecular biology, bioinformatics, and other courses, enhancing assessment methods, gradually implementing specialized training in precision medicine subspecialties, and ensuring effective clinical practice and management of precision medicine.
ObjectiveTo categorize and describe stroke-patients based on factors related to patient reported outcomes. MethodsA questionnaire survey was conducted among stroke-patients in nine hospitals and communities in Shanxi Province. The general information questionnaire and stroke-patient reported outcome manual (Stroke-PROM) were completed. Latent profile analysis was used to analyze the scores of Stroke-PROM, and the explicit variables of the model were the final scores of each dimension. ANOVA and correlation analysis were used to measure the correlation between the factors and subtypes. ResultsFour unique stroke-patient profiles emerged, including a low physiological and low social group (9%), a high physiological and middle social group (40%), a middle physiological and middle social group (26%), and a middle physiological and high social group (25%). There were significant differences in scores of four areas among patients with different subtypes (P<0.05). Moreover, there was a correlation between age, payment, exercise and subtypes (P<0.05). ConclusionThere are obvious grouping characteristics for stroke patients. It is necessary to focus on stroke patients who are advanced in age, have a self-funded status and lack exercise, and provide targeted nursing measures to improve their quality of life.
Precision medicine is a personalized medical system based on patients' individual biological information, clinical symptoms and signs, forming a new clinical research model and medical practice path. The basic idea of traditional Chinese medicine and the concept of precision medicine share many similarities. The basket trial developed for precision medicine is also suitable for clinical trials and evaluation of the efficacy of traditional Chinese medicine syndrome differentiation and treatment systems. Basket trials are used to evaluate the efficacy of a drug in the treatment of multiple diseases or disease subtypes. It has the advantages of sharing a master protocol, unifying management of subsidiary studies, simplifying the test implementation process, unifying statistical analysis, saving resources, reducing budgets and accelerating the drug evaluation progress. This is similar to the concept of using the "same treatment for different diseases" found in traditional Chinese medicine. This paper introduced the concept and method of basket trials and explored their application and advantages in clinical research into traditional Chinese medicine. This study is expected to provide references for the methodological innovation of clinical research into traditional Chinese medicine.
By analyzing the current situation and problems of China’s precision healthy poverty alleviation, combining the current situation of poverty alleviation areas and its own clinical and regional advantages, West China Hospital of Sichuan University explores a practical “West China Way” to solve the healthy poverty problem. We insist on demand orientation, build the top-level design, and implement precise policies. Starting with the promotion of health screening, we actualizes hospital management, multi-disciplinary collaboration, integrated medical care construction according to regional needs, “double-group” style assistance, stratified and graded training, and telemedicine education. As the combination of “transfusion” and “hematopoiesis”, we help the local areas to build modern systems of hospital management, technology, and human resource.
Precision medicine is an individualized clinical research model established according to gene, environment, lifestyle and other information. As an innovative method of clinical trials, the main scheme design breaks the barriers of traditional randomized controlled trials to the evaluation of targeted therapies in precision medicine and improves the efficiency of clinical research. This paper will systematically introduce the types, concepts and principles of the main scheme design of the new method of precision medicine clinical trial design, and summarize the advantages and limitations of the main scheme design combined with classic cases, aiming at providing scientific and rigorous methodological guidance and clinical practice experience for precision medicine scientific research design.
The 14th Five-Year Plan for National Health explicitly proposes elevating the comprehensive prevention and control strategy for chronic diseases to the national strategy, aiming to address the growing demand for long-term management and individualized treatment of chronic diseases. In this context, the adaptive treatment strategy (ATS), as an innovative treatment model, offers new ideas and methods for the management and treatment of chronic diseases through its flexible, personalized, and scientific characteristics. To construct ATS, the sequential multiple assignment randomized trial (SMART) has emerged as a research method for multi-stage randomized controlled trials. The SMART design has been widely used in international clinical research, but there is a lack of systematic reports and studies in China. This paper first introduces the basic principles of ATS and SMART design, and then focuses on two key elements of the SMART design: re-randomization and intermediate outcomes. Based on these two elements, four major types of SMART designs are summarized, including: (1) SMART designs in which the intermediate outcome corresponds to a single re-randomization scheme (the classical type), (2) SMART designs in which no intermediate outcome is embedded, (3) SMART designs in which the intermediate outcome corresponds to a different re-randomization scheme, and (4) SMART designs in which the intermediate outcome and the previous interventions jointly determine the re-randomization. These different types of SMART designs are appropriate for solving different types of scientific problems. Using specific examples, this paper also analyzes the conditions under which SMART designs are applicable in clinical trials and predicts that the mainstream analysis methods for SMART designs in the future will combine frequentist statistics and Bayesian statistics. It is expected that the introduction and analysis in this paper will provide valuable references for researchers and promote the widespread application and innovative development of SMART design in the field of chronic disease prevention, control, and treatment strategies in China.