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: Changes in cognitive function are associated with increased depression and decreased quality of life (QOL). This study aimed to determine the relationship between the characteristics of geriatric patients and anesthetic management with changes in postoperative cognitive function and QOL of geriatric patients undergoing elective surgery. Methods: This prospective observational analytic multicenter study included patients aged ≥60 years who underwent elective surgery in hospitals in Indonesia. We used the whole sampling method and performed follow-up 30 days after surgery. Data were analyzed using bivariate chi-square and multivariate regression tests with a confidence interval of 95% and α=5%. Results: Among the 933 geriatric patients included in this study 55.0%, females most (59.8%) received general anesthesia. Factors including age (p<0.001, B=-0.374, odds ratio [OR]=0.688), body mass index (BMI) (p<0.05, B=0.129, OR=1.138), and physical status based on American Society of Anesthesiologists (ASA) classification (p<0.001, B=-0.458, OR=0.633) were significantly associated with postoperative cognitive function. BMI (p<0.001, B=-0.218, OR=1.244), absence of comorbidities (p<0.05, B=-0.312, OR=0.732), regional anesthesia (p<0.05, B=0.606, OR=1.883), and changes in cognitive function (p<0.05, B=0.288, OR=1.334) were significantly correlated with changes in postoperative QOL. Conclusion Age, BMI, and ASA physical status were significantly associated with postoperative cognitive function in geriatric patients, whereas BMI, comorbidities, regional anesthesia, and changes in postoperative cognitive function were associated with QOL. These preoperative factors can predict postoperative cognitive function and QOL and may be useful during preoperative planning.

Background: Changes in cognitive function are associated with increased depression and decreased quality of life (QOL). This study aimed to determine the relationship between the characteristics of geriatric patients and anesthetic management with changes in postoperative cognitive function and QOL of geriatric patients undergoing elective surgery. Methods: This prospective observational analytic multicenter study included patients aged ≥60 years who underwent elective surgery in hospitals in Indonesia. We used the whole sampling method and performed follow-up 30 days after surgery. Data were analyzed using bivariate chi-square and multivariate regression tests with a confidence interval of 95% and α=5%. Results: Among the 933 geriatric patients included in this study 55.0%, females most (59.8%) received general anesthesia. Factors including age (p<0.001, B=-0.374, odds ratio [OR]=0.688), body mass index (BMI) (p<0.05, B=0.129, OR=1.138), and physical status based on American Society of Anesthesiologists (ASA) classification (p<0.001, B=-0.458, OR=0.633) were significantly associated with postoperative cognitive function. BMI (p<0.001, B=-0.218, OR=1.244), absence of comorbidities (p<0.05, B=-0.312, OR=0.732), regional anesthesia (p<0.05, B=0.606, OR=1.883), and changes in cognitive function (p<0.05, B=0.288, OR=1.334) were significantly correlated with changes in postoperative QOL. Conclusion Age, BMI, and ASA physical status were significantly associated with postoperative cognitive function in geriatric patients, whereas BMI, comorbidities, regional anesthesia, and changes in postoperative cognitive function were associated with QOL. These preoperative factors can predict postoperative cognitive function and QOL and may be useful during preoperative planning.

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: Changes in cognitive function are associated with increased depression and decreased quality of life (QOL). This study aimed to determine the relationship between the characteristics of geriatric patients and anesthetic management with changes in postoperative cognitive function and QOL of geriatric patients undergoing elective surgery. Methods: This prospective observational analytic multicenter study included patients aged ≥60 years who underwent elective surgery in hospitals in Indonesia. We used the whole sampling method and performed follow-up 30 days after surgery. Data were analyzed using bivariate chi-square and multivariate regression tests with a confidence interval of 95% and α=5%. Results: Among the 933 geriatric patients included in this study 55.0%, females most (59.8%) received general anesthesia. Factors including age (p<0.001, B=-0.374, odds ratio [OR]=0.688), body mass index (BMI) (p<0.05, B=0.129, OR=1.138), and physical status based on American Society of Anesthesiologists (ASA) classification (p<0.001, B=-0.458, OR=0.633) were significantly associated with postoperative cognitive function. BMI (p<0.001, B=-0.218, OR=1.244), absence of comorbidities (p<0.05, B=-0.312, OR=0.732), regional anesthesia (p<0.05, B=0.606, OR=1.883), and changes in cognitive function (p<0.05, B=0.288, OR=1.334) were significantly correlated with changes in postoperative QOL. Conclusion Age, BMI, and ASA physical status were significantly associated with postoperative cognitive function in geriatric patients, whereas BMI, comorbidities, regional anesthesia, and changes in postoperative cognitive function were associated with QOL. These preoperative factors can predict postoperative cognitive function and QOL and may be useful during preoperative planning.

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.

Human ; Observation ; Widowhood

INTRODUCTION: The COVID-19 pandemic has significantly increased reliance on digital devices for education, leading to heightened concerns about digital eye strain (DES) among students. This study aimed to investigate the association between screen time and the degree of DES among first to third-year medical students at a private medical school from August to September 2023. METHODS: An analytical cross-sectional design was employed, involving 194 participants who completed a self administered questionnaire, including the Computer Vision Syndrome Questionnaire (CVS-Q). Data were analyzed using descriptive statistics and relative risk calculations. RESULTS: The mean daily screen time was 6.94 hours, with 79.38% of participants reporting symptoms of digital eye strain. A significant association was found between screen time and DES, with a positive risk ratio of 1.304 for those spending 4-8 hours on screens compared to those with less than 4 hours. CONCLUSION This study highlights the growing prevalence of DES among medical students during the pandemic, emphasizing the need for educational institutions to implement strategies that mitigate screenrelated health risks. Recommendations include awareness programs, ergonomic guidelines and regular eye check-ups to promote ocular health.
Human ; Students, medical ; online learning ; education, distance