OBJECTIVE: Asthma imposes a significant global health burden. This study examines changes in the asthma-related disease burden from 1990 to 2021 and projects future burdens for 2050 under different scenarios. METHODS: Using data from the Global Burden of Disease 2021 study, we analyzed asthma incidence, prevalence, mortality, and disability-adjusted life years (DALYs) from 1990 to 2021. We projected the disease burden for 2050 based on current trends and hypothetical scenarios in which all risk factors are controlled. Temporal trends in age-standardized incidence, prevalence, mortality, and DALY rates were explored using Annual Percent Change. RESULTS: In 2021, the age-standardized rates for asthma incidence, prevalence, mortality, and DALYs in China were 364.17 per 100,000 (95% uncertainty interval [ UI]: 283.22-494.10), 1,956.49 per 100,000 (95% UI: 1,566.68-2,491.87), 1.47 per 100,000 (95% UI: 1.15-1.79), and 103.76 per 100,000 (95% UI: 72.50-145.46), respectively. A higher disease burden was observed among Chinese men and individuals aged 70 years or older. Compared to the current trend, a combined scenario involving improvements in environmental factors, behavioral and metabolic health, child nutrition, and vaccination resulted in a greater reduction in the disease burden caused by asthma. CONCLUSION Addressing modifiable risk factors is essential for further reducing the asthma-related disease burden.
Humans ; Asthma/mortality* ; China/epidemiology* ; Male ; Female ; Adult ; Middle Aged ; Aged ; Child ; Adolescent ; Global Burden of Disease/trends* ; Child, Preschool ; Young Adult ; Infant ; Cost of Illness ; Disability-Adjusted Life Years ; Prevalence ; Incidence ; Infant, Newborn ; Aged, 80 and over ; Risk Factors

As green, sustainable, and environmentally friendly material processing processes using biological cells or enzymes to achieve substance conversion, bioprocesses play an increasingly important role in biomanufacturing. It is difficult to optimize bioprocesses because of the complex relationship at multiple levels and multiple scales. The knowledge of mesoscale behaviors is the key to understanding the dynamics of bioprocesses and to sort out the complex relationships of parameter variations in the spatial-temporal domain. Mesoscale numerical simulation paves a way for understanding these phenomena, and the integration of artificial intelligence (AI) and mesoscale simulation offers new vitality into the optimization of bioprocesses. This article reviews the progress in mesoscale simulation and AI optimization of bioprocesses and discusses the possible development directions, aiming to promote the development of this field.
Artificial Intelligence ; Biotechnology/trends* ; Computer Simulation

Subclinical atherosclerosis underlies most cardiovascular diseases, manifesting before clinical symptoms and representing a key focus for early prevention strategies. Recent advancements highlight the importance of early detection and management of subclinical atherosclerosis. This review underscores that traditional risk factor levels considered safe, such as low-density lipoprotein cholesterol (LDL-C) and glycated haemoglobin (HbA1c), may still permit the development of atherosclerosis, suggesting a need for stricter thresholds. Early-life interventions are crucial, leveraging the brain's neuroplasticity to establish lifelong healthy habits. Preventive strategies should include more aggressive management of LDL-C and HbA1c from youth and persist into old age, supported by public health policies that promote healthy environments. Emphasising early education on cardiovascular health can fundamentally shift the trajectory of cardiovascular disease prevention and optimise long-term health outcomes.
Humans ; Atherosclerosis/diagnosis* ; Risk Factors ; Cardiovascular Diseases/prevention & control* ; Cholesterol, LDL/blood* ; Glycated Hemoglobin ; Cardiology/trends* ; Heart Disease Risk Factors

The machine learning is used increasingly and widely in acupuncture prescription optimization, intelligent treatment and precision medicine, and has obtained a certain achievement. But, there are still some problems remained to be solved such as the poor interpretability of the model, the inconsistency of data quality of acupuncture research, and the clinical application of constructed models. Researches in future should focus on the acquisition of high-quality clinical and experimental data sets, take various machine learning algorithms as the basis, and construct professional models to solve various problems, so as to drive the high-quality development of acupuncture research.
Acupuncture Therapy/trends* ; Machine Learning ; Humans ; Algorithms

OBJECTIVE: To analyze the research progress, hotspots, frontier trends and existing limitations of acupuncture and moxibustion treatment for respiratory diseases in the past decade using bibliometric and scientific knowledge mapping methods. METHODS: Literature on acupuncture and moxibustion treatment for respiratory diseases published from January 1st, 2014 to June 30th, 2024, from CNKI, VIP, Wanfang, PubMed and Web of Science was retrieved. CiteSpace 6.1.R6 and VOSviewer V1.6.20 were used to perform visual analysis, including keyword co-occurrence and clustering, and to construct knowledge maps of acupuncture and moxibustion treatment for respiratory diseases. RESULTS: A total of 1,106 Chinese articles and 185 English articles were included. High-frequency keywords focused on clinical diseases, treatment methods, efficacy observation, mechanisms etc. The main respiratory diseases treated with acupuncture and moxibustion included chronic obstructive pulmonary disease (COPD), asthma and cough. Commonly used acupoints included Feishu (BL13), Zusanli (ST36), Dazhui (GV14) and Shenshu (BL23), primarily involving the bladder meridian of foot-taiyang, conception vessel and lung meridian of hand-taiyin. Among the treatment methods dominated by acupuncture and moxibustion, the primary treatment method was electroacupuncture combined with moxibustion, and acupoint application was supplemented, with increasing emphasis on integrative Chinese and Western medicine and acupuncture combined with medication. The therapeutic mechanisms involved anti-inflammatory effects and inhibition of airway remodeling, with targets mainly associated with the NF-κB signaling pathway. CONCLUSION Acupuncture and moxibustion demonstrates certain advantages in treating respiratory diseases such as COPD, asthma and cough, with mechanisms related to anti-inflammatory effects and inhibition of airway remodeling. Future research should focus on multi-center, large-sample, high-quality clinical and experimental studies to explore the optimal clinical treatment protocols and underlying mechanisms.
Moxibustion/trends* ; Humans ; Acupuncture Therapy/trends* ; Acupuncture Points ; Asthma/therapy* ; Pulmonary Disease, Chronic Obstructive/therapy*

Education is a crucial element in the development of acupuncture as a discipline, providing essential talent support for its future advancement. A structured interview was conducted with renowned acupuncture expert Professor ZHAO Jiping, focusing on key topics such as the core of acupuncture education, the connotation and development of acupuncture textbooks, and acupuncture teaching models. Through in-depth discussion, the current problems in acupuncture education were analyzed, and possible solutions were explored, aiming to offer ideas for the innovative development of acupuncture education.
Acupuncture/trends* ; Humans ; Acupuncture Therapy ; China

The paper summarizes the authorized invention patents, device registration and the relevant published articles of acupuncture medical devices of TCM in recent 5 years, and analyzes the current status and challenges in this field. It is discovered that the optimization and substitution in diagnosis and treatment of acupuncture are involved in the development of acupuncture medical devices. The technology application of these devices are composed of traditional and emerging engineering technologies; and the theoretical guidance for their development requires the integration of traditional acupuncture principles with modern medical theories. The development of acupuncture medical devices highlights the characteristics of multidimensional integration, treatment for specific ailments, portability and wearability, painlessness and non-invasion, precision and personalization, as well as intelligent automation. Upon analysis, it is shown that in the development and product transformation of acupuncture medical devices in recent years, the theoretical principles of acupuncture of TCM have not been fully utilized yet, the transformation of patented product is low, the clinical evidence of product is insufficient, and the market competitiveness needs improvement. In the future, The theoretic guidance of acupuncture of TCM should be enhanced in the development of acupuncture medical devices, a production-education- research model with the combination of medicine and engineering be constructed, clinical verification of product be emphasized, and product development paradigms be advanced, so as to meet the demands of the medical market.
Acupuncture Therapy/trends* ; Humans ; Medicine, Chinese Traditional/instrumentation* ; Equipment and Supplies

OBJECTIVE: To explore the research history, hotspots and development trends of acupuncture and moxibustion in the treatment of gastroesophageal reflux disease（GERD）based on knowledge graph technology, and to provide references for clinical and basic research in this field. METHODS: The literature of acupuncture and moxibustion for gastroesophageal reflux disease was searched from the CNKI, Wanfang, VIP and SinoMed, from the establishment of the databases to December 31th, 2023. CiteSpace 6.2.R6 Advance was used to draw the knowledge graph of authors, institutions, keywords and other elements, and then perform the visual analysis. RESULTS: A total of 341 articles were included, with the number of publications showing an upward trend and the research types continually diversifying. A total of 832 authors and 308 institutions were analyzed, with XIE Sheng from the First Affiliated Hospital of Guangxi University of CM and BAI Xinghua from the Beijing University of CM as representative figures, forming core research teams. However, there was a lack of close collaboration between institutions, and no significant cross-regional research networks had been formed. A total of 192 keywords were included, forming 8 cluster labels, which mainly included 4 categories：treatment methods, disease types, TCM syndrome types, and literature types. The burst analysis showed that the methods of acupuncture and moxibustion in the treatment of gastroesophageal reflux disease had gradually become more integrated, the treatment methods had transitioned from simple acupuncture therapy to combined therapies with proton pump inhibitors or TCM decoctions, the disease types had become more refined, the focus of mechanism research had shifted from lower esophageal sphincter pressure and esophageal motility to changes in gastrointestinal hormone levels, and the research hotspots had gradually shifted from improving clinical symptoms to considering both mental and psychological states. Twenty-three high-frequency acupoints were obtained, forming 8 clusters of "acupuncture techniques-acupoints" for the treatment of gastroesophageal reflux disease with acupuncture and moxibustion, indicating a gradual enrichment of acupuncture and acupoint treatment protocols. CONCLUSION The research on acupuncture and moxibustion in the treatment of gastroesophageal reflux disease has gradually deepened, in the future, the cooperation among research teams should be strengthened, the quality of clinical research should be improved, more multi-dimensional mechanism research and horizontal comparative research of different acupuncture and moxibustion methods should be made, to provide a basis for clinical promotion and deeper exploration.
Humans ; Moxibustion/trends* ; Gastroesophageal Reflux/therapy* ; Acupuncture Therapy/trends*

Intelligent acupuncture-moxibustion medical equipment is an important force in promoting the inheritance, innovation, and modernization of acupuncture-moxibustion. This paper reviews the development status of intelligent acupuncture-moxibustion medical equipment and related new technologies, as well as the challenges faced. It is found that, with the advancement of technologies such as big data and artificial intelligence, acupuncture-moxibustion medical equipment has shown characteristics of greater precision, miniaturization, intelligence, and portability. However, deficiencies remain in areas such as standardization and regulation, including relatively low rates of effective transformation and a lack of innovation in research outcomes. Therefore, there is an urgent need to formulate corresponding strategies: improving the development of relevant standards for intelligent acupuncture-moxibustion medical equipment, encouraging the integration of medicine and engineering, cultivating interdisciplinary talents, and strengthening the protection of invention patents. It is necessary to establish a demand-oriented pathway connecting "equipment development, equipment evaluation, product formation" through multiple stages such as talent training and research project initiation, thereby promoting the modernization and standardization of intelligent acupuncture-moxibustion medical equipment and supporting the revitalization of traditional medicine.
Moxibustion/instrumentation* ; Humans ; Acupuncture Therapy/trends* ; Artificial Intelligence

INTRODUCTION: The 30-day readmission rate for chronic obstructive pulmonary disease (COPD) is a common performance metric but may be confounded by factors unrelated to quality of care. Our aim was to assess how sociodemographic factors, multimorbidity and frailty impact 30-day readmission risk after COPD hospitalisation, and whether risk adjustment alters interpretation of temporal trends. METHOD: This is a retrospective analysis of administra-tive data from October 2017 to June 2023 from Changi General Hospital, Singapore. Multivariable mixed-effects logistic regression models were used to estimate unadjusted and risk-adjusted 30-day readmission odds. Covariates included age, sex, race, Charlson Comorbidity Index (CCI), Hospital Frailty Risk Score (HFRS) and year. Temporal trends in readmission risk were compared across unadjusted and adjusted models. RESULTS: Of the 2774 admissions, 749 (27%) resulted in 30-day readmissions. Higher CCI (CCI≥4 versus [vs] CCI=1: adjusted odds ratio [aOR] 2.00, 95% confidence interval [CI] 1.33-2.99, P=0.003; CCI 2-3 vs CCI=1: aOR 1.50, 95% CI 1.15-1.96, P=0.001) and higher HFRS (≥5 vs <5: aOR 1.29, 95% CI 1.01-1.65, P=0.04) were independently associated with increased readmission risk. While unadjusted analyses showed no significant temporal trends, the risk-adjusted model revealed a 32-35% reduction in readmission odds in 2021-2023 compared to baseline. CONCLUSION Multimorbidity and frailty significantly impact COPD readmissions. Risk adjustment revealed improvements in readmission risk not evident in unadjusted analyses, emphasising the importance of applying risk adjustments to ensure valid performance metrics.
Humans ; Pulmonary Disease, Chronic Obstructive/therapy* ; Patient Readmission/trends* ; Male ; Female ; Retrospective Studies ; Aged ; Singapore/epidemiology* ; Multimorbidity ; Frailty/epidemiology* ; Middle Aged ; Risk Adjustment ; Aged, 80 and over ; Logistic Models ; Risk Factors