The International Severe Asthma Registry (ISAR) was established in 2017 to advance the understanding of severe asthma and its management, thereby improving patient care worldwide. As the first global registry for adults with severe asthma, ISAR enabled individual registries to standardize and pool their data, creating a comprehensive, harmonized dataset with sufficient statistical power to address key research questions and knowledge gaps. Today, ISAR is the largest repository of real-world data on severe asthma, curating data on nearly 35,000 patients from 28 countries worldwide, and has become a leading contributor to severe asthma research. Research using ISAR data has provided valuable insights on the characteristics of severe asthma, its burdens and risk factors, real-world treatment effectiveness, and barriers to specialist care, which are collectively informing improved asthma management. Besides changing clinical thinking via research, ISAR aims to advance real-world practice through initiatives that improve registry data quality and severe asthma care. In 2024, ISAR refined essential research variables to enhance data quality and launched a web-based data acquisition and reporting system (QISAR), which integrates data collection with clinical consultations and enables longitudinal data tracking at patient, center, and population levels. Quality improvement priorities include collecting standardized data during consultations and tracking and optimizing patient journeys via QISAR and integrating primary/secondary care pathways to expedite specialist severe asthma management and facilitate clinical trial recruitment. ISAR envisions a future in which timely specialist referral and initiation of biologic therapy can obviate long-term systemic corticosteroid use and enable more patients to achieve remission.

The International Severe Asthma Registry (ISAR) was established in 2017 to advance the understanding of severe asthma and its management, thereby improving patient care worldwide. As the first global registry for adults with severe asthma, ISAR enabled individual registries to standardize and pool their data, creating a comprehensive, harmonized dataset with sufficient statistical power to address key research questions and knowledge gaps. Today, ISAR is the largest repository of real-world data on severe asthma, curating data on nearly 35,000 patients from 28 countries worldwide, and has become a leading contributor to severe asthma research. Research using ISAR data has provided valuable insights on the characteristics of severe asthma, its burdens and risk factors, real-world treatment effectiveness, and barriers to specialist care, which are collectively informing improved asthma management. Besides changing clinical thinking via research, ISAR aims to advance real-world practice through initiatives that improve registry data quality and severe asthma care. In 2024, ISAR refined essential research variables to enhance data quality and launched a web-based data acquisition and reporting system (QISAR), which integrates data collection with clinical consultations and enables longitudinal data tracking at patient, center, and population levels. Quality improvement priorities include collecting standardized data during consultations and tracking and optimizing patient journeys via QISAR and integrating primary/secondary care pathways to expedite specialist severe asthma management and facilitate clinical trial recruitment. ISAR envisions a future in which timely specialist referral and initiation of biologic therapy can obviate long-term systemic corticosteroid use and enable more patients to achieve remission.

The International Severe Asthma Registry (ISAR) was established in 2017 to advance the understanding of severe asthma and its management, thereby improving patient care worldwide. As the first global registry for adults with severe asthma, ISAR enabled individual registries to standardize and pool their data, creating a comprehensive, harmonized dataset with sufficient statistical power to address key research questions and knowledge gaps. Today, ISAR is the largest repository of real-world data on severe asthma, curating data on nearly 35,000 patients from 28 countries worldwide, and has become a leading contributor to severe asthma research. Research using ISAR data has provided valuable insights on the characteristics of severe asthma, its burdens and risk factors, real-world treatment effectiveness, and barriers to specialist care, which are collectively informing improved asthma management. Besides changing clinical thinking via research, ISAR aims to advance real-world practice through initiatives that improve registry data quality and severe asthma care. In 2024, ISAR refined essential research variables to enhance data quality and launched a web-based data acquisition and reporting system (QISAR), which integrates data collection with clinical consultations and enables longitudinal data tracking at patient, center, and population levels. Quality improvement priorities include collecting standardized data during consultations and tracking and optimizing patient journeys via QISAR and integrating primary/secondary care pathways to expedite specialist severe asthma management and facilitate clinical trial recruitment. ISAR envisions a future in which timely specialist referral and initiation of biologic therapy can obviate long-term systemic corticosteroid use and enable more patients to achieve remission.

The International Severe Asthma Registry (ISAR) was established in 2017 to advance the understanding of severe asthma and its management, thereby improving patient care worldwide. As the first global registry for adults with severe asthma, ISAR enabled individual registries to standardize and pool their data, creating a comprehensive, harmonized dataset with sufficient statistical power to address key research questions and knowledge gaps. Today, ISAR is the largest repository of real-world data on severe asthma, curating data on nearly 35,000 patients from 28 countries worldwide, and has become a leading contributor to severe asthma research. Research using ISAR data has provided valuable insights on the characteristics of severe asthma, its burdens and risk factors, real-world treatment effectiveness, and barriers to specialist care, which are collectively informing improved asthma management. Besides changing clinical thinking via research, ISAR aims to advance real-world practice through initiatives that improve registry data quality and severe asthma care. In 2024, ISAR refined essential research variables to enhance data quality and launched a web-based data acquisition and reporting system (QISAR), which integrates data collection with clinical consultations and enables longitudinal data tracking at patient, center, and population levels. Quality improvement priorities include collecting standardized data during consultations and tracking and optimizing patient journeys via QISAR and integrating primary/secondary care pathways to expedite specialist severe asthma management and facilitate clinical trial recruitment. ISAR envisions a future in which timely specialist referral and initiation of biologic therapy can obviate long-term systemic corticosteroid use and enable more patients to achieve remission.

The International Severe Asthma Registry (ISAR) was established in 2017 to advance the understanding of severe asthma and its management, thereby improving patient care worldwide. As the first global registry for adults with severe asthma, ISAR enabled individual registries to standardize and pool their data, creating a comprehensive, harmonized dataset with sufficient statistical power to address key research questions and knowledge gaps. Today, ISAR is the largest repository of real-world data on severe asthma, curating data on nearly 35,000 patients from 28 countries worldwide, and has become a leading contributor to severe asthma research. Research using ISAR data has provided valuable insights on the characteristics of severe asthma, its burdens and risk factors, real-world treatment effectiveness, and barriers to specialist care, which are collectively informing improved asthma management. Besides changing clinical thinking via research, ISAR aims to advance real-world practice through initiatives that improve registry data quality and severe asthma care. In 2024, ISAR refined essential research variables to enhance data quality and launched a web-based data acquisition and reporting system (QISAR), which integrates data collection with clinical consultations and enables longitudinal data tracking at patient, center, and population levels. Quality improvement priorities include collecting standardized data during consultations and tracking and optimizing patient journeys via QISAR and integrating primary/secondary care pathways to expedite specialist severe asthma management and facilitate clinical trial recruitment. ISAR envisions a future in which timely specialist referral and initiation of biologic therapy can obviate long-term systemic corticosteroid use and enable more patients to achieve remission.

Background: In recent years, stroke has remained one of the leading causes of morbidity and mortality worldwide. Globally, the incidence among adults ranges from 134.9 to 336.3 cases per 100,000 population annually, with mortality rates between 36.7 and 136.7 per 100,000. In Mongolian traditional medicine, stroke prevention is not only related to diet and lifestyle but also depends on an individual’s unique bodily constitution, age, strength, and life habits. Since people differ physiologically, the diseases arising from the four causative conditions manifest differently. Therefore, this study was conducted to explore the relationship between an individual’s constitutional type and stroke risk factors, aiming to contribute to stroke prevention. Aim: To study the relationship between individual constitutional types in Mongolian traditional medicine and stroke risk factors, specifically hypertension and dyslipidemia. Materials and Methods: A total of 2,086 participants were included from the Departments of Cardiology, Neurology, and Ultrasonography of the affiliated hospital of the Inner Mongolia National University. Data were collected through questionnaires, assessment of constitutional type, blood pressure measurement, and blood lipid analysis. Statistical processing was performed using SPSS 18.0 software. Chi-square (χ²), ANOVA tests, multivariate logistic regression, and correspondence analysis were used, with p<0.05 considered statistically significant. Results: Among the participants, those with the “Khurmal” (Hormal) and “Badgan-Khi” (Phlegm-Wind) constitutions accounted for the highest proportions (34.3% and 26.7%, respectively), showing a statistically significant association with stroke risk factors (p<0.05). In terms of the relationship between constitution and blood pressure, individuals with the Badgan-Khi type had a higher risk, and a statistically significant association was found between blood pressure, risk classification, and the Badgan-Khi and Khormal types (p<0.05). Regarding constitution and blood lipid levels, the proportions in the stroke population were: indeterminate lipid ratio (58.3%), dyslipidemia (33.3%), and normal blood lipids (8.3%). A statistically significant relationship was observed between blood lipid levels, risk classification, and the Khi-Shar and Badgan-Khi constitutions (p<0.05). Conclusion Stroke risk factors such as hypertension and dyslipidemia are associated with an individual’s body constitutional type. The study confirmed that individuals with a Khi-dominant constitution tend to have higher sympathetic nervous system activity, blood pressure, and vascular reactivity, providing a biological basis for increased stroke risk. For Badgan-dominant individuals, metabolic disturbances and lipid accumulation were identified as contributors to elevated stroke risk.

Objective: To evaluate the anti-fatigue effects of different extracts from Cistanche tubulosa (Schenk) Wight (C. tubulosa, Rou Cong Rong), focusing on central and exercise-induced fatigue in mice. This study investigated the pharmacological effects of the total oligosaccharides, polysaccharides, and phenylethanoid glycosides (CPhGs) extracted from C. tubulosa. Methods: Models of sleep deprivation and forced swimming fatigue were established to simulate central and exercise-induced fatigue. The mice were treated with different extracts of C. tubulosa, and their effects were assessed using behavioral tests to measure exercise capacity, learning, and memory function. Biochemical analyses were performed to evaluate the changes in serum and brain neurotransmitter levels, liver and muscle glycogen storage, and various fatigue-related biomarkers. Results: This study found that treatment with C. tubulosa extract improved exercise capacity, learning, and memory in mice. Total oligosaccharides from C. tubulosa enhanced adrenocorticotropic hormone, cholinesterase, and thyroid-stimulating hormone levels, reduced cortisol levels in central fatigue models, and ameliorated biochemical markers of exercise-induced fatigue, including lowering lactic acid, blood urea nitrogen, and malondialdehyde levels. Among the tested extracts, the total oligosaccharides showed the most comprehensive anti-fatigue effects. Conclusion The anti-fatigue effects of C. tubulosa, particularly those of its total oligosaccharides, are pronounced in both central and exercise-induced fatigue. These effects are mediated by the regulation of neurotransmitter levels, enhancement of glycogen storage, and improvement of antioxidant enzyme activity, suggesting potential therapeutic benefits in fatigue-related conditions.