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.

This study examined the potential moderating effects of insulin resistance and dietary inflammatory index (DII) on the relationship between body mass index (BMI) and peak postprandial glucose levels in patients with prediabetes and type 2 diabetes. Methods: A retrospective analysis was conducted, using integrated nutritional data from a diabetes management program for patients with prediabetes and type 2 diabetes who used continuous glucose monitoring (CGM). Data from 17 patients, including 408 meal records, were analyzed. The energy-adjusted DII (E-DII) was calculated, and peak postprandial glucose was matched for each meal. Statistical tests analyzed differences and relationships between variables. Hayes' SPSS PROCESS macro version 4.0 was used to identify the moderating effects. Results: Peak postprandial glucose levels varied significantly among E-DII subgroups (p < .026) and were positively correlated with insulin resistance (rho = .30, p = < .001) and E-DII (rho = .14, p = .004). Insulin resistance and E-DII had a multiple additive moderating effect on the relationship between BMI and peak postprandial glucose levels in glucose-controlled patients (F = 12.22, p < .001), explaining 21.6% of the variance. Conclusion: Higher E-DII scores, which indicated a more pro-inflammatory diet, were associated with increased glucose levels, especially for patients who were overweight and mildly obese. Patients with obesity who received insulin therapy had varied postprandial glucose levels depending on their insulin resistance status. These findings highlight the importance of tailored dietary interventions, inflammation management, and CGM to improve obesity-related glucose regulation.

This study examined the potential moderating effects of insulin resistance and dietary inflammatory index (DII) on the relationship between body mass index (BMI) and peak postprandial glucose levels in patients with prediabetes and type 2 diabetes. Methods: A retrospective analysis was conducted, using integrated nutritional data from a diabetes management program for patients with prediabetes and type 2 diabetes who used continuous glucose monitoring (CGM). Data from 17 patients, including 408 meal records, were analyzed. The energy-adjusted DII (E-DII) was calculated, and peak postprandial glucose was matched for each meal. Statistical tests analyzed differences and relationships between variables. Hayes' SPSS PROCESS macro version 4.0 was used to identify the moderating effects. Results: Peak postprandial glucose levels varied significantly among E-DII subgroups (p < .026) and were positively correlated with insulin resistance (rho = .30, p = < .001) and E-DII (rho = .14, p = .004). Insulin resistance and E-DII had a multiple additive moderating effect on the relationship between BMI and peak postprandial glucose levels in glucose-controlled patients (F = 12.22, p < .001), explaining 21.6% of the variance. Conclusion: Higher E-DII scores, which indicated a more pro-inflammatory diet, were associated with increased glucose levels, especially for patients who were overweight and mildly obese. Patients with obesity who received insulin therapy had varied postprandial glucose levels depending on their insulin resistance status. These findings highlight the importance of tailored dietary interventions, inflammation management, and CGM to improve obesity-related glucose regulation.

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.

This study examined the potential moderating effects of insulin resistance and dietary inflammatory index (DII) on the relationship between body mass index (BMI) and peak postprandial glucose levels in patients with prediabetes and type 2 diabetes. Methods: A retrospective analysis was conducted, using integrated nutritional data from a diabetes management program for patients with prediabetes and type 2 diabetes who used continuous glucose monitoring (CGM). Data from 17 patients, including 408 meal records, were analyzed. The energy-adjusted DII (E-DII) was calculated, and peak postprandial glucose was matched for each meal. Statistical tests analyzed differences and relationships between variables. Hayes' SPSS PROCESS macro version 4.0 was used to identify the moderating effects. Results: Peak postprandial glucose levels varied significantly among E-DII subgroups (p < .026) and were positively correlated with insulin resistance (rho = .30, p = < .001) and E-DII (rho = .14, p = .004). Insulin resistance and E-DII had a multiple additive moderating effect on the relationship between BMI and peak postprandial glucose levels in glucose-controlled patients (F = 12.22, p < .001), explaining 21.6% of the variance. Conclusion: Higher E-DII scores, which indicated a more pro-inflammatory diet, were associated with increased glucose levels, especially for patients who were overweight and mildly obese. Patients with obesity who received insulin therapy had varied postprandial glucose levels depending on their insulin resistance status. These findings highlight the importance of tailored dietary interventions, inflammation management, and CGM to improve obesity-related glucose regulation.

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.

This study examined the potential moderating effects of insulin resistance and dietary inflammatory index (DII) on the relationship between body mass index (BMI) and peak postprandial glucose levels in patients with prediabetes and type 2 diabetes. Methods: A retrospective analysis was conducted, using integrated nutritional data from a diabetes management program for patients with prediabetes and type 2 diabetes who used continuous glucose monitoring (CGM). Data from 17 patients, including 408 meal records, were analyzed. The energy-adjusted DII (E-DII) was calculated, and peak postprandial glucose was matched for each meal. Statistical tests analyzed differences and relationships between variables. Hayes' SPSS PROCESS macro version 4.0 was used to identify the moderating effects. Results: Peak postprandial glucose levels varied significantly among E-DII subgroups (p < .026) and were positively correlated with insulin resistance (rho = .30, p = < .001) and E-DII (rho = .14, p = .004). Insulin resistance and E-DII had a multiple additive moderating effect on the relationship between BMI and peak postprandial glucose levels in glucose-controlled patients (F = 12.22, p < .001), explaining 21.6% of the variance. Conclusion: Higher E-DII scores, which indicated a more pro-inflammatory diet, were associated with increased glucose levels, especially for patients who were overweight and mildly obese. Patients with obesity who received insulin therapy had varied postprandial glucose levels depending on their insulin resistance status. These findings highlight the importance of tailored dietary interventions, inflammation management, and CGM to improve obesity-related glucose regulation.

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.

Purpose: Providing continuous self-care support to the growing diabetes population is challenging. Strategies are needed to enhance engagement in self-care, utilizing innovative technologies for personalized feedback. This study aimed to assess the feasibility of the Automated Personalized Self-Care program among type 2 diabetes patients and evaluate its preliminary effectiveness. Methods: A parallel randomized pilot trial with qualitative interviews occurred from May 3, 2022, to September 27, 2022. Participants aged 40e69 years with type 2 diabetes and HbA1c ! 7.0% were recruited. The three-month program involved automated personalized goal setting, education, monitoring, and feedback. Feasibility was measured by participants' engagement and intervention usability. Preliminary effectiveness was examined through self-care self-efficacy, self-care behaviors, and health outcomes. Qualitative interviews were conducted with the intervention group. Results: A total of 404 patients were screened. Out of the 61 eligible patients, 32 were enrolled, resulting in a recruitment rate of 52.5%. Retention rates at three months were 84.2% and 84.6% in the intervention and control groups, respectively. Among the intervention group, 81.3% satisfied adherence criteria.Mobile application's usability scored 66.25, and participants' satisfaction was 8.06. Intention-to-treat analysis showed improvements in self-measured blood glucose testing, grain intake, and HbA1c in the intervention group. Qualitative content analysis identified nine themes. Conclusion Feasibility of the program was verified. A larger randomized controlled trial is needed to determine its effectiveness in self-care self-efficacy, self-care behaviors, and health outcomes among type 2 diabetes patients. This study offers insights for optimizing future trials assessing clinical effectiveness.

Purpose: B-cell depleting therapies, including T-cell engager (TCE), are increasingly used for patients with hematologic malignancies, including during the coronavirus disease 2019 (COVID-19) pandemic. We aimed to evaluate the relationship between TCE therapy and COVID-19–related outcomes among patients with COVID-19 and B-cell lymphomas receiving B-cell depleting therapy. Materials and Methods: This retrospective cohort study included patients with B-cell lymphoma, who were admitted to Seoul Natio-nal University Hospital with COVID-19 between September 2021 and February 2023, and received B-cell depleting therapy before COVID-19 diagnosis. Multivariable logistic regression was used to identify factors associated with severe to critical COVID-19 and COVID-19–related mortality. Results: Of 54 patients with B-cell lymphomas and COVID-19 who received B-cell depleting therapy, 14 were treated with TCE (TCE group) and 40 with rituximab (RTX group). COVID-19–related mortality was higher in the TCE group than in the RTX group (57.1% vs. 12.5%, p=0.002). In multivariable analyses, TCE therapy (adjusted odds ratio [aOR], 7.08; 95% confidence interval [CI], 1.29 to 38.76; p=0.024) and older age (aOR, 1.06; 95% CI, 1.00 to 1.13; p=0.035) were associated with severe to critical COVID-19. TCE therapy (aOR, 8.98; 95% CI, 1.48 to 54.40; p=0.017), older age (aOR, 1.13; 95% CI, 1.02 to 1.26; p=0.022), and prior bendamustine therapy (aOR, 7.78; 95% CI, 1.17 to 51.65; p=0.034) were independent risk factors for COVID-19–related mortality. Conclusion B-cell lymphoma patients treated with TCE had significantly worse outcomes from COVID-19 than those treated with RTX. TCE therapy should be used with caution in B-cell lymphoma patients during the COVID-19 epidemic.