Purpose: To investigate the outcomes of brolucizumab reinjection after intraocular inflammation (IOI) development. Methods: This retrospective study analyzed patients with brolucizumab injections from April 2021 to January 2024. Patients who developed IOI after brolucizumab were included and categorized into subgroups depending on reinjection, discontinuation, and further IOI development. Results: A total of 472 eyes of 432 patients received brolucizumab injections. Thirty-eight cases developed IOI at least once, and 25 continued brolucizumab. Sixteen cases had no more IOI events, and nine experienced a second or more IOI events. Among the nine cases, three maintained brolucizumab injections despite IOI recurrence. The incidence of IOI was 8.1% based on the number of eyes (38 of 472 eyes) and 2.0% based on the number of brolucizumab injections (50 of 2,468 injections). The incidence of occlusive retinal vasculitis was 0.2% (1 of 472 eyes). The recurrence rate was 23.7% (9 of 38 eyes). The average number of injections between the first brolucizumab injection and the injection date on which IOI first developed was 2.15 times in the no-reinjection group, 3.44 times in the no-IOI-recurrence group, and 2.0 times in the second-IOI-episode group. Time to IOI occurrence in cases with first IOI episode was 18.60 ± 16.73 days, with 15 cases developing IOI within 1 week. Conclusions This study elucidates the real-world incidence of brolucizumab associated IOIs, with a description of information related to reinjections after the IOI episodes. A comprehensive understanding of brolucizumab reinjection is essential for its optimal utilization.

Growth differentiation factor 15 (GDF-15), a cytokine within the transforming growth factor-β superfamily, is involved in various malignancies, withimplications in oral squamous cell carcinoma (OSCC). Elevated GDF-15 levels are correlated with unfavorable prognosis, tumor progression, and chemotherapy resistance, and the protein has been identified as a potential diagnostic and prognostic biomarker for OSCC. Personalized treatment strategies based on GDF-15 expression could improve treatment outcomes.

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: Shortage of organ donors in the Republic of Korea has become a major problem. To address this, it has been questioned whether heart transplant (HTx) allocation should be modified to reduce priority of older patients. We aimed to evaluate post-HTx outcomes according to recipient age and specific pre-HTx conditions using a nationwide prospective cohort. Methods: We analyzed clinical characteristics of 628 patients from the Korean Organ Transplant Registry who received HTx from January 2015 to December 2020. Enrolled recipients were divided into three groups according to age. We also included comorbidities including ambulatory status. Non-ambulatory status was defined as pre-HTx support with either extracorporeal membrane oxygenation, continuous renal replacement therapy, or mechanical ventilation. Results: Of the 628 patients, 195 were < 50 years, 322 were 50–64 years and 111 were ≥ 65years at transplant. Four hundred nine (65.1%) were ambulatory and 219 (34.9%) were nonambulatory. Older recipients tended to have more comorbidities, ischemic cardiomyopathy, and received older donors. Post-HTx survival was significantly lower in older recipients (P = 0.025) and recipients with non-ambulatory status (P < 0.001). However, in contrast to non-ambulatory recipients who showed significant survival differences according to the recipient’s age (P = 0.004), ambulatory recipients showed comparable outcomes (P = 0.465). Conclusion Our results do not support use of age alone as an allocation criterion. Transplant candidate age in combination with some comorbidities such as non-ambulatory status may identify patients at a sufficiently elevated risk at which suitability of HTx should be reconsidered.

Background: The increasing incidence and mortality rates of tuberculosis among older individuals who suffer from multiple morbidities and are vulnerable to malnutrition are major obstacles to efforts to eradicate tuberculosis in the Republic of Korea. Herein, we identified the factors associated with mortality during anti-tuberculosis treatment in patients with pulmonary tuberculosis. Methods: We conducted a case-control study and extracted data from the database of a multi-center prospective observational cohort study in Korea. Among the participants with rifampicin-susceptible pulmonary tuberculosis, the survival group was defined as those who successfully completed treatment within one year, whereas the mortality group was defined as those who died during treatment. Univariable and multivariable logistic regression analyses were performed to identify factors associated with TB mortality. Results: Among 1,119 participants with pulmonary TB registered between 2019 and 2021, 799 and 59 were grouped in the survival and mortality groups, respectively. Age, positive smear results, alarming symptoms, nutrition risk score, Charlson comorbidity index score, and initial standard treatment regimen were significant based on univariable analysis and were selected for the multivariable logistic regression model. Nutrition risk score (adjusted odds ratio, 2.44; 95% confidence interval, 1.72–3.48) and Charlson comorbidity index score (adjusted odds ratio, 1.62; 95% confidence interval, 1.35–1.94) remained statistically significant in the multivariate analysis. Conclusion Nutritional status and comorbidities at baseline were identified as important factors associated with mortality in patients with pulmonary tuberculosis.

Objective: : Patients with traumatic brain injury (TBI) commonly exhibit a poor mental health status and can easily develop aspiration pneumonia. Thus, early proper nutrition through oral or tube feeding is difficult to achieve, leading to malnutrition. However, evidence regarding early nutritional support in the intensive care unit (ICU) is lacking. We aimed to assess the effect of early nutrition in patients with TBI admitted to the ICU. Methods: : Data of adult patients with TBI admitted to the trauma ICU of a regional trauma center in Korea between 2022 and 2023 were retrospectively analyzed. Those with ICU stay <7 days, younger than 18 years, and with underlying diseases that could alter baseline metabolism, were excluded. Nutritional support on day 4 of ICU admission was measured. The patients were classified into mortality and survival groups, and risk factors for mortality were evaluated. Subgroup analyses were performed based on TBI severity. Results: : Overall, 864 patients were diagnosed with acute TBI, of whom 227 were included in this study. The mortality rate in the study population was 15% (n=34). Those in the survival group were younger, had longer hospital stays, had a higher initial Glasglow coma scale (GCS) score, and had a higher intake of calorie supplements than those in the mortality group. In a subgroup analysis of patients with non-severe TBI (GCS >8), total calorie intake (751.4 vs. 434.2 kcal, p=0.029), total protein intake (37.5 vs. 22.1 g, p=0.045), and ratio of supplied to target calories (0.49 vs. 0.30, p=0.047) were higher in the survival group than in the mortality group. Logistic regression analysis revealed that calorie intake (B=-0.002, p=0.040) and initial hemoglobin level (B=-0.394, p=0.005) were risk factors for mortality in patients with non-severe TBI. Conclusion : More calories were supplied to the survival group than the mortality group among patients with TBI. Additionally, logistic regression analysis showed that increased calorie supply was associated with reduced mortality in patients with non-severe TBI. The mortality group had low protein intake; however, this did not emerge as a risk factor for mortality. Early sufficient nutritional support improves the prognosis of patients with TBI.

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: Shortage of organ donors in the Republic of Korea has become a major problem. To address this, it has been questioned whether heart transplant (HTx) allocation should be modified to reduce priority of older patients. We aimed to evaluate post-HTx outcomes according to recipient age and specific pre-HTx conditions using a nationwide prospective cohort. Methods: We analyzed clinical characteristics of 628 patients from the Korean Organ Transplant Registry who received HTx from January 2015 to December 2020. Enrolled recipients were divided into three groups according to age. We also included comorbidities including ambulatory status. Non-ambulatory status was defined as pre-HTx support with either extracorporeal membrane oxygenation, continuous renal replacement therapy, or mechanical ventilation. Results: Of the 628 patients, 195 were < 50 years, 322 were 50–64 years and 111 were ≥ 65years at transplant. Four hundred nine (65.1%) were ambulatory and 219 (34.9%) were nonambulatory. Older recipients tended to have more comorbidities, ischemic cardiomyopathy, and received older donors. Post-HTx survival was significantly lower in older recipients (P = 0.025) and recipients with non-ambulatory status (P < 0.001). However, in contrast to non-ambulatory recipients who showed significant survival differences according to the recipient’s age (P = 0.004), ambulatory recipients showed comparable outcomes (P = 0.465). Conclusion Our results do not support use of age alone as an allocation criterion. Transplant candidate age in combination with some comorbidities such as non-ambulatory status may identify patients at a sufficiently elevated risk at which suitability of HTx should be reconsidered.

Background: The increasing incidence and mortality rates of tuberculosis among older individuals who suffer from multiple morbidities and are vulnerable to malnutrition are major obstacles to efforts to eradicate tuberculosis in the Republic of Korea. Herein, we identified the factors associated with mortality during anti-tuberculosis treatment in patients with pulmonary tuberculosis. Methods: We conducted a case-control study and extracted data from the database of a multi-center prospective observational cohort study in Korea. Among the participants with rifampicin-susceptible pulmonary tuberculosis, the survival group was defined as those who successfully completed treatment within one year, whereas the mortality group was defined as those who died during treatment. Univariable and multivariable logistic regression analyses were performed to identify factors associated with TB mortality. Results: Among 1,119 participants with pulmonary TB registered between 2019 and 2021, 799 and 59 were grouped in the survival and mortality groups, respectively. Age, positive smear results, alarming symptoms, nutrition risk score, Charlson comorbidity index score, and initial standard treatment regimen were significant based on univariable analysis and were selected for the multivariable logistic regression model. Nutrition risk score (adjusted odds ratio, 2.44; 95% confidence interval, 1.72–3.48) and Charlson comorbidity index score (adjusted odds ratio, 1.62; 95% confidence interval, 1.35–1.94) remained statistically significant in the multivariate analysis. Conclusion Nutritional status and comorbidities at baseline were identified as important factors associated with mortality in patients with pulmonary tuberculosis.

Objective: : Patients with traumatic brain injury (TBI) commonly exhibit a poor mental health status and can easily develop aspiration pneumonia. Thus, early proper nutrition through oral or tube feeding is difficult to achieve, leading to malnutrition. However, evidence regarding early nutritional support in the intensive care unit (ICU) is lacking. We aimed to assess the effect of early nutrition in patients with TBI admitted to the ICU. Methods: : Data of adult patients with TBI admitted to the trauma ICU of a regional trauma center in Korea between 2022 and 2023 were retrospectively analyzed. Those with ICU stay <7 days, younger than 18 years, and with underlying diseases that could alter baseline metabolism, were excluded. Nutritional support on day 4 of ICU admission was measured. The patients were classified into mortality and survival groups, and risk factors for mortality were evaluated. Subgroup analyses were performed based on TBI severity. Results: : Overall, 864 patients were diagnosed with acute TBI, of whom 227 were included in this study. The mortality rate in the study population was 15% (n=34). Those in the survival group were younger, had longer hospital stays, had a higher initial Glasglow coma scale (GCS) score, and had a higher intake of calorie supplements than those in the mortality group. In a subgroup analysis of patients with non-severe TBI (GCS >8), total calorie intake (751.4 vs. 434.2 kcal, p=0.029), total protein intake (37.5 vs. 22.1 g, p=0.045), and ratio of supplied to target calories (0.49 vs. 0.30, p=0.047) were higher in the survival group than in the mortality group. Logistic regression analysis revealed that calorie intake (B=-0.002, p=0.040) and initial hemoglobin level (B=-0.394, p=0.005) were risk factors for mortality in patients with non-severe TBI. Conclusion : More calories were supplied to the survival group than the mortality group among patients with TBI. Additionally, logistic regression analysis showed that increased calorie supply was associated with reduced mortality in patients with non-severe TBI. The mortality group had low protein intake; however, this did not emerge as a risk factor for mortality. Early sufficient nutritional support improves the prognosis of patients with TBI.