Background: and Purpose We aimed to determine the proportion of Korean patients with early Alzheimer’s disease (AD) who are eligible to receive lecanemab based on the United States Appropriate Use Recommendations (US AUR), and also identify the barriers to this treatment. Methods: We retrospectively enrolled 6,132 patients with amnestic mild cognitive impairment or mild amnestic dementia at 13 hospitals from June 2023 to May 2024. Among them, 2,058 patients underwent amyloid positron emission tomography (PET) and 1,199 (58.3%) of these patients were amyloid-positive on PET. We excluded 732 patients who did not undergo brain magnetic resonance imaging between June 2023 and May 2024. Finally, 467 patients were included in the present study. Results: When applying the criteria of the US AUR, approximately 50% of patients with early AD were eligible to receive lecanemab treatment. Among the 467 included patients, 36.8% did not meet the inclusion criterion of a Mini-Mental State Examination (MMSE) score of ≥22. Conclusions Eligibility for lecanemab treatment was not restricted to Korean patients with early AD except for those with an MMSE score of ≥22. The MMSE criteria should therefore be reconsidered in areas with a higher proportion of older people, who tend to have lower levels of education.

Background: An ideal lung allocation system should reduce waiting list deaths, improve transplant survival, and ensure equitable organ allocation. This study aimed to develop a novel lung allocation score (LAS) system, the MaxBenefit LAS, to maximize transplant benefits. Methods: This study retrospectively analyzed data from the Korean Network for Organ Sharing database, including 1,599 lung transplant candidates between September 2009 and December 2020. We developed the MaxBenefit LAS, combining a waitlist mortality model and a post-transplant survival model using elastic-net Cox regression, was assessed using area under the curve (AUC) values and Uno’s C-index. Its performance was compared to the US LAS in an independent cohort. Results: The waitlist mortality model showed strong predictive performance with AUC values of 0.834 and 0.818 in the training and validation cohorts, respectively. The post-transplant survival model also demonstrated good predictive ability (AUC: 0.708 and 0.685). The MaxBenefit LAS effectively stratified patients by risk, with higher scores correlating with increased waitlist mortality and decreased post-transplant mortality. The MaxBenefit LAS outperformed the conventional LAS in predicting waitlist death and identifying candidates with higher transplant benefits. Conclusion The MaxBenefit LAS offers a promising approach to optimizing lung allocation by balancing the urgency of candidates with their likelihood of survival post-transplant. This novel system has the potential to improve outcomes for lung transplant recipients and reduce waitlist mortality, providing a more equitable allocation of donor lungs.

Background: The accuracy of Logical Observation Identifiers Names and Codes (LOINC) mappings is reportedly low, and the LOINC codes used for research purposes in Korea have not been validated for accuracy or usability. Our study aimed to evaluate the discrepancies and similarities in interoperability using existing LOINC mappings in actual patient care settings. Methods: We collected data on local test codes and their corresponding LOINC mappings from seven university hospitals. Our analysis focused on laboratory tests that are frequently requested, excluding clinical microbiology and molecular tests. Codes from nationwide proficiency tests served as intermediary benchmarks for comparison. A research team, comprising clinical pathologists and terminology experts, utilized the LOINC manual to reach a consensus on determining the most suitable LOINC codes. Results: A total of 235 LOINC codes were designated as optimal codes for 162 frequent tests.Among these, 51 test items, including 34 urine tests, required multiple optimal LOINC codes, primarily due to unnoted properties such as whether the test was quantitative or qualitative, or differences in measurement units. We analyzed 962 LOINC codes linked to 162 tests across seven institutions, discovering that 792 (82.3%) of these codes were consistent. Inconsistencies were most common in the analyte component (38 inconsistencies, 33.3%), followed by the method (33 inconsistencies, 28.9%), and properties (13 inconsistencies, 11.4%). Conclusion This study reveals a significant inconsistency rate of over 15% in LOINC mappings utilized for research purposes in university hospitals, underlining the necessity for expert verification to enhance interoperability in real patient care.

Background: The number of organ transplants in South Korea has increased, with a notable rise in living donor transplants. Ensuring their long-term health and well-being is critical to address potential complications and maintain the success of the transplant programs. Methods: A diverse advisory panel, including transplant experts and coordinators, was established to evaluate the follow-up care for living donors. The panel reviewed the results of a brief survey of donors regarding their donation experience, follow-up programs, guidelines, and policies from South Korea and other countries, aiming to identify best practices and recommend improvements. Results: The study found that follow-up care for living donors in South Korea is inconsistent and lacks standardization. Significant variability exists in follow-up practices across different institutions, and comprehensive data on donor health pre- and post-donation are scarce. The need for continuous, systematic follow-up, encompassing both medical and psychological support, is emphasized to ensure donor well-being. Conclusion Improving follow-up care for living donors is essential. Establishing a national registry and increasing donor advocacy teams are meaningful steps to enhance donor care, ensure long-term health, and maintain ethical standards in organ donation.

Purpose: We aimed to derive insights by analyzing the results of a patient safety awareness survey conducted by the Regional Patient Safety Center of the Korean Medical Association. Methods: Survey questions were developed in three domains: sociodemographic characteristics, patient safety awareness, and patient safety education needs. An online anonymous survey targeting Korean physicians was conducted annually from 2021 to 2023. Chi-square tests were used to verify differences in responses by year and sociodemographic characteristics. Results: A total of 774 physicians participated in the survey over the three-year period. Approximately half of the participants were still assessed to have insufficient knowledge about patient safety, and no clear year-over-year improvement was observed. Additionally, while patient safety incidents appeared common, the proportion of respondents who reported incidents remained around 20%. However, participants showed high levels of agreement or engagement in patient participation activities related to patient safety (over 90%), with 60% having previously received patient safety-related education, and nearly 90% expressing willingness to participate in future education. The findings also highlighted a particular urgency in improving patient safety awareness among clinic-based physicians. Conclusion Promoting awareness of patient safety incident reporting methods and encouraging clinic-based physicians to report incidents should be prioritized. The study’s findings will provide a foundation for more effectively fostering physician engagement in patient safety improvement activities.

Background: Osteoporosis is a significant public health issue in aging populations. Despite advances in pharmacotherapy, underdiagnosis and undertreatment remain prevalent even in patients with recent fractures. This study examined 20-year trends (2002– 2022) in anti-osteoporotic medication (AOM) usage in South Korea. Methods: Data from the Korean National Health Information Database were retrospectively analyzed. The study included individuals aged ≥50 years and analyzed prescription trends, medication adherence, measured by the medication possession ratio (MPR), and treatment initiation rates post-fracture. The AOMs examined included bisphosphonates, selective estrogen receptor modulators, denosumab (DMAB), teriparatide (TPTD), and romosozumab (ROMO). Results: Over two decades, AOM use has shifted significantly from oral to injectable formulations, with injectables surpassing oral medications in 2020; from 397,440 prescriptions in 2016 to 1,162,779 in 2022. Prescriptions for DMAB surged following its approval as a first-line therapy in 2019, increasing 2.65 times from 217,606 in 2019 to 575,595 in 2022. The MPR improved from 35.4% in 2003 to 73.2% in 2021, with females demonstrating higher adherence than males. Post-fracture treatment rates increased from 31.1% in 2006 to 39.9% in 2021 but remained below 50%. Vertebral fractures had the highest treatment initiation rates, while anabolic agents, such as TPTD and ROMO were underprescribed despite their efficacy. Conclusions This 20-year analysis highlights significant progress in osteoporosis management in South Korea, including a shift towards injectable therapies and improved adherence. However, the persistent undertreatment of high-risk patients underscores the requirement for enhanced access to anabolic agents, clinician education, and policy reforms to optimize post-fracture care.

Background: and Purpose: This clinical practice guideline provides evidence-based recommendations for treatment of dementia, focusing on cholinesterase inhibitors and N-methyl-D-aspartate (NMDA) receptor antagonists for Alzheimer’s disease (AD) and other types of dementia. Methods: Using the Population, Intervention, Comparison, Outcomes (PICO) framework, we developed key clinical questions and conducted systematic literature reviews. A multidisciplinary panel of experts, organized by the Korean Dementia Association, evaluated randomized controlled trials and observational studies. Recommendations were graded for evidence quality and strength using Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology. Results: Three main recommendations are presented: (1) For AD, cholinesterase inhibitors (donepezil, rivastigmine, galantamine) are strongly recommended for improving cognition and daily function based on moderate evidence; (2) Cholinesterase inhibitors are conditionally recommended for vascular dementia and Parkinson’s disease dementia, with a strong recommendation for Lewy body dementia; (3) For moderate to severe AD, NMDA receptor antagonist (memantine) is strongly recommended, demonstrating significant cognitive and functional improvements. Both drug classes showed favorable safety profiles with manageable side effects. Conclusions This guideline offers standardized, evidence-based pharmacologic recommendations for dementia management, with specific guidance on cholinesterase inhibitors and NMDA receptor antagonists. It aims to support clinical decision-making and improve patient outcomes in dementia care. Further updates will address emerging treatments, including amyloid-targeting therapies, to reflect advances in dementia management.

Background: An ideal lung allocation system should reduce waiting list deaths, improve transplant survival, and ensure equitable organ allocation. This study aimed to develop a novel lung allocation score (LAS) system, the MaxBenefit LAS, to maximize transplant benefits. Methods: This study retrospectively analyzed data from the Korean Network for Organ Sharing database, including 1,599 lung transplant candidates between September 2009 and December 2020. We developed the MaxBenefit LAS, combining a waitlist mortality model and a post-transplant survival model using elastic-net Cox regression, was assessed using area under the curve (AUC) values and Uno’s C-index. Its performance was compared to the US LAS in an independent cohort. Results: The waitlist mortality model showed strong predictive performance with AUC values of 0.834 and 0.818 in the training and validation cohorts, respectively. The post-transplant survival model also demonstrated good predictive ability (AUC: 0.708 and 0.685). The MaxBenefit LAS effectively stratified patients by risk, with higher scores correlating with increased waitlist mortality and decreased post-transplant mortality. The MaxBenefit LAS outperformed the conventional LAS in predicting waitlist death and identifying candidates with higher transplant benefits. Conclusion The MaxBenefit LAS offers a promising approach to optimizing lung allocation by balancing the urgency of candidates with their likelihood of survival post-transplant. This novel system has the potential to improve outcomes for lung transplant recipients and reduce waitlist mortality, providing a more equitable allocation of donor lungs.

Background: The accuracy of Logical Observation Identifiers Names and Codes (LOINC) mappings is reportedly low, and the LOINC codes used for research purposes in Korea have not been validated for accuracy or usability. Our study aimed to evaluate the discrepancies and similarities in interoperability using existing LOINC mappings in actual patient care settings. Methods: We collected data on local test codes and their corresponding LOINC mappings from seven university hospitals. Our analysis focused on laboratory tests that are frequently requested, excluding clinical microbiology and molecular tests. Codes from nationwide proficiency tests served as intermediary benchmarks for comparison. A research team, comprising clinical pathologists and terminology experts, utilized the LOINC manual to reach a consensus on determining the most suitable LOINC codes. Results: A total of 235 LOINC codes were designated as optimal codes for 162 frequent tests.Among these, 51 test items, including 34 urine tests, required multiple optimal LOINC codes, primarily due to unnoted properties such as whether the test was quantitative or qualitative, or differences in measurement units. We analyzed 962 LOINC codes linked to 162 tests across seven institutions, discovering that 792 (82.3%) of these codes were consistent. Inconsistencies were most common in the analyte component (38 inconsistencies, 33.3%), followed by the method (33 inconsistencies, 28.9%), and properties (13 inconsistencies, 11.4%). Conclusion This study reveals a significant inconsistency rate of over 15% in LOINC mappings utilized for research purposes in university hospitals, underlining the necessity for expert verification to enhance interoperability in real patient care.

Background: The number of organ transplants in South Korea has increased, with a notable rise in living donor transplants. Ensuring their long-term health and well-being is critical to address potential complications and maintain the success of the transplant programs. Methods: A diverse advisory panel, including transplant experts and coordinators, was established to evaluate the follow-up care for living donors. The panel reviewed the results of a brief survey of donors regarding their donation experience, follow-up programs, guidelines, and policies from South Korea and other countries, aiming to identify best practices and recommend improvements. Results: The study found that follow-up care for living donors in South Korea is inconsistent and lacks standardization. Significant variability exists in follow-up practices across different institutions, and comprehensive data on donor health pre- and post-donation are scarce. The need for continuous, systematic follow-up, encompassing both medical and psychological support, is emphasized to ensure donor well-being. Conclusion Improving follow-up care for living donors is essential. Establishing a national registry and increasing donor advocacy teams are meaningful steps to enhance donor care, ensure long-term health, and maintain ethical standards in organ donation.