1.Analysis of the current situation and influencing factors of platelet supply in medical institutions
Xuan WU ; Ting ZHANG ; Xiaozhen GUAN ; Yang YU
Chinese Journal of Blood Transfusion 2026;39(3):339-345
Objective: To systematically analyze the current status and influencing factors of platelet supply in medical institutions across China, and to explore the problems and future development directions of the existing supply models. Methods: From February 25 to March 5, 2025, a web-based questionnaire survey was performed. A self-designed questionnaire was distributed to staff in the blood transfusion departments of medical institutions nationwide in China. Data on the current status and influencing factors of platelet supply were collected and analyzed. Results: A total of 2 268 responses were collected in this survey, with 1 366 valid questionnaires finally included, covering 33 provinces, autonomous regions, and municipalities directly under the central government across China. The survey revealed that platelet supply in Chinese medical institutions exhibited a pattern of "sufficient in the eastern region, stable in the central region, and scarce in the western region": adequate in East China; generally favorable in South China except Guangxi; centered on Beijing and Tianjin in North China; basically met but with insufficient reserves in Central China; subject to seasonal fluctuations in Northeast China; only meeting the baseline supply in Yunnan, Guizhou, and Sichuan in Southwest China; and notably short in Qinghai, Ningxia, and Xinjiang in Northwest China. Family donor mobilization was required in 81.2% (1 109/1 366) of institutions, whereas this proportion was only 12.7% (173/1 366) among institutions with sufficient supply. Tertiary hospitals constituted the main users, among which tertiary Class A hospitals had the highest sufficiency rate, and secondary Class B hospitals showed the most pronounced shortage. A total of 84% (1 147/1 366) of institutions lacked a professional management team; only 19% (266/1 366) had an inventory warning system, of which 88% (234/266) considered it effective. Platelet reservation required 3 days in 33% (458/1 366) of institutions. The mandatory transfusion rate was 30.55% (29/118) when the reservation lead time exceeded 3 days, representing an increase of 5.98% compared with 24.57% (55/180) in the same-day reservation group. For optimization, most institutions called for improved blood donation services, strengthened education and incentives, establishment of regional coordination and policy collaboration, and supplementary suggestions focused on technologies for extending platelet shelf life. Conclusion: Regional imbalance in platelet supply across China is prominent, with supply shortages in some provinces, reliance on family donor mobilization in most institutions, weak grassroots support capacity, imperfect management systems, and supply timeliness constraining clinical practice. Systematic improvements are needed in optimizing blood donation services, strengthening regional coordination, improving relevant policies, and developing platelet preservation technologies, so as to enhance the level of supply security and patient safety.
2.A prediction model for mild cognitive impairment risk among the elderly
MA Zongkang ; LIU Xinglang ; LI Huihui ; HE Guowei ; YAN Ping ; ZHANG Chuanrong ; MA Xuan ; CHE Yajie ; YU Shan ; CHEN Fenghui
Journal of Preventive Medicine 2026;38(2):124-129
Objective:
To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening.
Methods :
From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA).
Results:
A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764.
Conclusion
The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.
3.Clinical Observation on Huatan Quyu Formula Improving Cerebral Small Vessel Disease with Phlegm and Blood Stasis Blocking Collateral Pattern via Regulating Glymphatic System Circulation
Xiaofeng HUANG ; Ting YU ; Xuan ZHANG ; Daichao MA ; Yongmei YAN ; Hui ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(13):205-211
ObjectiveTo observe the clinical efficacy and safety of Huatan Quyu formula in treating cerebral small vessel disease (CSVD) with phlegm and blood stasis blocking collateral pattern via randomized controlled trial, and explore its mechanism of improving CSVD by regulating glymphatic system (GS) circulation. MethodsSixty-eight CSVD patients with phlegm and blood stasis blocking collateral pattern in the Department of Encephalopathy, Affiliated Hospital of Shaanxi University of Chinese Medicine from April to December 2024 were selected and randomly divided into an experimental group (34 cases) and a control group, with 34 cases in each group. Both groups received basic Western medicine treatment, while the experimental group additionally received Huatan Quyu formula. After a course of 12 weeks, the following parameters were compared between the two groups before and after treatment. Clinical outcomes were assessed using the Tinetti performance-oriented mobility assessment (POMA), Montreal Cognitive Assessment (MoCA), Scales for Outcomes in Parkinson's Disease-Autonomic (SCOPA-AUT), and traditional Chinese medicine (TCM) syndrome scores of phlegm and blood stasis blocking collateral pattern. Perivascular space (PVS) in the frontal lobe/basal ganglia and cerebrospinal fluid (CSF) flow parameters in the cerebral aqueduct were evaluated by 3.0T brain MRI, cerebrospinal fluid flow imaging, and phase-contrast magnetic resonance imaging (PC-MRI). Then, safety indicators were monitored, and SPSS 25.0 was used for statistical analysis. ResultsSixty-four patients completed the study (32 in each group). ①Baseline data: No statistically significant difference was found between the two group. ②Efficacy indicators: After treatment, the experimental group exhibited significantly improved total POMA, SCOPA-AUT, and TCM syndrome scores (P<0.01), outperforming the control group (P<0.05). No significant change was observed in MoCA scores between the two groups. ③Imaging indicators: The experimental group showed a reduced PVS area alongside significantly increased CSF flow parameters (including downward flow during the systolic period, and upward flow during the diastolic period) (P<0.01), which were superior to the control group (P<0.01). ④Safety: The laboratory indicators were normal in both groups, with no drug-related adverse reactions. ConclusionFor CSVD patients with phlegm and blood stasis blocking collateral pattern, Huatan Quyu formula can safely and effectively improve motor function, autonomic nerve function, and TCM syndromes, with potential mechanisms related to pulsatile CSF flow enhancement and GS circulation efficiency improvement.
4.Accurate Machine Learning-based Monitoring of Anesthesia Depth with EEG Recording.
Zhiyi TU ; Yuehan ZHANG ; Xueyang LV ; Yanyan WANG ; Tingting ZHANG ; Juan WANG ; Xinren YU ; Pei CHEN ; Suocheng PANG ; Shengtian LI ; Xiongjie YU ; Xuan ZHAO
Neuroscience Bulletin 2025;41(3):449-460
General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals
;
Machine Learning
;
Electroencephalography/methods*
;
Ketamine/administration & dosage*
;
Rats
;
Male
;
Propofol/administration & dosage*
;
Rats, Sprague-Dawley
;
Anesthesia, General/methods*
;
Brain/physiology*
;
Intraoperative Neurophysiological Monitoring/methods*
5.Development and application on a full process disease diagnosis and treatment assistance system based on generative artificial intelligence.
Wanjie YANG ; Hao FU ; Xiangfei MENG ; Changsong LI ; Ce YU ; Xinting ZHAO ; Weifeng LI ; Wei ZHAO ; Qi WU ; Zheng CHEN ; Chao CUI ; Song GAO ; Zhen WAN ; Jing HAN ; Weikang ZHAO ; Dong HAN ; Zhongzhuo JIANG ; Weirong XING ; Mou YANG ; Xuan MIAO ; Haibai SUN ; Zhiheng XING ; Junquan ZHANG ; Lixia SHI ; Li ZHANG
Chinese Critical Care Medicine 2025;37(5):477-483
The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence
;
Humans
;
Delivery of Health Care
;
Generative Artificial Intelligence
6.Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm.
Xiao-Jie LI ; Le CHANG ; Yang MI ; Ge ZHANG ; Shan-Shan ZHU ; Yue-Xiao ZHANG ; Hao-Yu WANG ; Yi-Shuang LU ; Ye-Xuan PING ; Peng-Yuan ZHENG ; Xia XUE
Journal of Integrative Medicine 2025;23(4):445-456
OBJECTIVE:
Circadian rhythm disruption (CRD) is a risk factor that correlates with poor prognosis across multiple tumor types, including hepatocellular carcinoma (HCC). However, its mechanism remains unclear. This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity.
METHODS:
To quantify CRD, the HCC CRD score (HCCcrds) was developed. Using machine learning algorithms, we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort (n = 369), and the robustness of this method was validated. Furthermore, we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes.
RESULTS:
We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis. The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis, higher pathological grade, and advanced clinical stages, while the CRD-related subtype with low HCCcrds had better clinical outcomes. We also identified novel biomarkers for each subtype, such as nicotinamide n-methyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1.
CONCLUSION
We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers. Within these groups greater HCCcrds was associated with worse prognosis. This approach has the potential to improve prediction of an individual's prognosis, guide precision treatments, and assist clinical decision making for HCC patients. Please cite this article as: Li XJ, Chang L, Mi Y, Zhang G, Zhu SS, Zhang YX, et al. Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm. J Integr Med. 2025; 23(4): 445-456.
Humans
;
Carcinoma, Hepatocellular/pathology*
;
Liver Neoplasms/pathology*
;
Circadian Rhythm/genetics*
;
Prognosis
;
Male
;
Female
;
Biomarkers, Tumor/genetics*
;
Middle Aged
;
Machine Learning
;
Computational Biology
7.Efficacy and safety of acupuncture therapies for adult patients with mild and moderate major depressive disorder: A systematic review and meta-analysis.
Hong-Jun KUANG ; Hui-Sheng YANG ; Yi-Xuan FENG ; Han TANG ; Qi FAN ; Yu-Qin XU ; Shuo CUI ; Richard MUSIL ; Hedi LUXENBURGER ; Yi-Xuan ZHANG ; Hong ZHAO ; Yu-Qing ZHANG
Journal of Integrative Medicine 2025;23(5):471-491
BACKGROUND:
Acupuncture therapy provides a complementary and alternative approach to treating major depressive disorder (MDD), but its efficacy and safety have still not been comprehensively assessed. Recently published systematic reviews remain confusing and inconclusive.
OBJECTIVE:
This systematic review evaluated the efficacy and safety of acupuncture therapy alone or combined with antidepressants for adult patients with mild and moderate MDD.
SEARCH STRATEGY:
Chinese Biomedical Literature Database, China National Knowledge Infrastructure Database, Wanfang Database, Chinese Science and Technology Journal Database, PubMed, Embase, and Cochrane Library were searched from their inceptions to March 2025.
INCLUSION CRITERIA:
Randomized controlled trials that compared acupuncture therapy with antidepressants, or acupuncture therapy plus antidepressants with acupuncture therapy or antidepressants for adult patients with mild and moderate MDD were included.
DATA EXTRACTION AND ANALYSIS:
Five reviewers independently extracted data from original literature using a standardized form, and the data were verified by two reviewers to ensure accuracy. Statistical meta-analyses, publication bias analyses, and subgroup analyses were performed by using Review Manager 5.3 software. The Grading of Recommendations Assessment, Development, and Evaluation approach was used to assess the certainty of the evidence.
RESULTS:
A total of 60 eligible studies including 4675 participants were included. Low-certainty evidence showed that compared with antidepressants, acupuncture therapy (standardized mean difference [SMD] = -0.57; 95% confidence interval [CI] = [-0.87, -0.27]; I2 = 86%; P = 0.006) or acupuncture therapy plus antidepressants (SMD = -1.00; 95% CI = [-1.18, -0.81]; I2 = 77%; P < 0.00001) may reduce the severity of depression at the end of treatment. Low-certainty evidence indicated that compared with acupuncture therapy alone, acupuncture therapy plus antidepressants slightly reduced the severity of depression at the end of treatment (SMD = -0.38; 95% CI = [-0.61, -0.14]; I2 = 18%; P = 0.002). Similar results were also found for acupuncture's relief of insomnia. The reported adverse effects of acupuncture therapy were mild and transient. For most of the subgroup analyses, acupuncture type, scale type, and the course of treatment did not show a significant relative effect.
CONCLUSION
Acupuncture therapy may provide antidepressant effects and relieve insomnia with mild adverse effects for adult patients with mild and moderate MDD. But the certainty of evidence was very low. More high-quality, well designed, large-scale studies with long-term follow-up are needed in the future. Please cite this article as: Kuang HJ, Yang HS, Feng YX, Tang H, Fan Q, Xu YQ, Cui S, Musil R, Luxenburger H, Zhang YX, Zhao H, Zhang YQ. Efficacy and safety of acupuncture therapies for adult patients with mild and moderate major depressive disorder: A systematic review and meta-analysis. J Integr Med. 2025; 23(5):471-491.
Humans
;
Acupuncture Therapy/methods*
;
Depressive Disorder, Major/therapy*
;
Adult
;
Antidepressive Agents/therapeutic use*
;
Treatment Outcome
;
Randomized Controlled Trials as Topic
8.Combination of Astragalus-Salvia and Ophiopogon-Dendrobium herb pairs alleviates Sjögren's Syndrome via inhibiting the JAK1/STAT3 and PI3K/AKT pathways in NOD/Ltj mice.
Peng SUN ; Lili ZHU ; Yang YU ; Sijing HU ; Mengyi SHAN ; Xuan ZHAO ; Xinchang WANG ; Qiaoyan ZHANG ; Luping QIN
Chinese Journal of Natural Medicines (English Ed.) 2025;23(6):733-741
Sjögren's syndrome (SS) is an autoimmune disease characterized primarily by oral and periocular dryness. Astragalus-Salvia (AS) and Ophiopogon-Dendrobium (OD) represent two frequently utilized herb pairs in SS treatment. While the combination of AS-OD herb pairs demonstrates clinical efficacy in alleviating SS symptoms, its underlying mechanism remains unclear. This investigation sought to assess the therapeutic effects and elucidate the potential mechanisms of AS-OD in non-obese diabetic (NOD)/Ltj mice with SS. The study utilized NOD/Ltj mice as SS models, administering AS-OD treatment for 10 weeks at doses of 113.1, 226.2, and 339.3 mg·d-1·20 g-1. Results demonstrated that AS-OD improved SS symptoms, evidenced by enhanced salivary flow rate, decreased anti-SSA/Ro and anti-SSB/La antibody levels, increased swimming duration, and reduced lactate (LA) and blood urea nitrogen (BUN) levels in NOD/Ltj mice. AS-OD reduced lymphocyte infiltration, enhanced Aquaporin-5 (AQP5) expression in the submandibular gland, decreased inflammatory cytokine levels in the submandibular gland, and reduced the T helper type 17/regulatory T lymphocyte (Th17/Treg) cell ratio in the spleen. Transcriptomic and proteomic analyses indicated AS-OD's involvement in regulating phosphatidylinositol-3-kinase/protein kinase B (PI3K/AKT) and Janus kinase 3/signal transducer and activator of transcription 3 (JAK1/STAT3) pathways, with inhibitory effects validated in both NOD/Ltj mice submandibular gland and A-253 cells. Furthermore, AS-OD enhanced cell viability and reduced A-253 cell apoptosis through the PI3K/AKT pathway. In A-253 cells, AS-OD reduced inflammatory cytokine levels, CXC chemokine ligand 9/10 (CXCL9/10), and T-cell chemotaxis by inhibiting the JAK1/STAT3 pathway. AS-OD mitigates SS by suppressing inflammation and immune responses through the PI3K/AKT and JAK1/STAT3 pathways.
Animals
;
STAT3 Transcription Factor/genetics*
;
Sjogren's Syndrome/immunology*
;
Mice, Inbred NOD
;
Proto-Oncogene Proteins c-akt/genetics*
;
Phosphatidylinositol 3-Kinases/genetics*
;
Mice
;
Drugs, Chinese Herbal/administration & dosage*
;
Signal Transduction/drug effects*
;
Janus Kinase 1/genetics*
;
Humans
;
Female
;
Astragalus Plant/chemistry*
;
Male
9.Nogo-A Protein Mediates Oxidative Stress and Synaptic Damage Induced by High-Altitude Hypoxia in the Rat Hippocampus.
Jin Yu FANG ; Huai Cun LIU ; Yan Fei ZHANG ; Quan Cheng CHENG ; Zi Yuan WANG ; Xuan FANG ; Hui Ru DING ; Wei Guang ZHANG ; Chun Hua CHEN
Biomedical and Environmental Sciences 2025;38(1):79-93
OBJECTIVE:
High-altitude hypoxia exposure often damages hippocampus-dependent learning and memory. Nogo-A is an important axonal growth inhibitory factor. However, its function in high-altitude hypoxia and its mechanism of action remain unclear.
METHODS:
In an in vivo study, a low-pressure oxygen chamber was used to simulate high-altitude hypoxia, and genetic or pharmacological intervention was used to block the Nogo-A/NgR1 signaling pathway. Contextual fear conditioning and Morris water maze behavioral tests were used to assess learning and memory in rats, and synaptic damage in the hippocampus and changes in oxidative stress levels were observed. In vitro, SH-SY5Y cells were used to assess oxidative stress and mitochondrial function with or without Nogo-A knockdown in Oxygen Glucose-Deprivation/Reperfusion (OGD/R) models.
RESULTS:
Exposure to acute high-altitude hypoxia for 3 or 7 days impaired learning and memory in rats, triggered oxidative stress in the hippocampal tissue, and reduced the dendritic spine density of hippocampal neurons. Blocking the Nogo-A/NgR1 pathway ameliorated oxidative stress, synaptic damage, and the learning and memory impairment induced by high-altitude exposure.
CONCLUSION:
Our results demonstrate the detrimental role of Nogo-A protein in mediating learning and memory impairment under high-altitude hypoxia and suggest the potential of the Nogo-A/NgR1 signaling pathway as a crucial therapeutic target for alleviating learning and memory dysfunction induced by high-altitude exposure.
GRAPHICAL ABSTRACT
available in www.besjournal.com.
Animals
;
Oxidative Stress
;
Hippocampus/metabolism*
;
Rats
;
Nogo Proteins/genetics*
;
Male
;
Rats, Sprague-Dawley
;
Hypoxia/metabolism*
;
Altitude
;
Synapses
;
Humans
;
Altitude Sickness/metabolism*
10.The Disease Burden of Asthma in China, 1990 to 2021 and Projections to 2050: Based on the Global Burden of Disease 2021.
Rui Yi ZHANG ; Miao Miao ZHANG ; Yu Chang ZHOU ; Jia Huan GUO ; Xuan Kai WANG ; Mai Geng ZHOU
Biomedical and Environmental Sciences 2025;38(5):529-538
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


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