Objective: Using a nationally representative cohort of medical claims data in Korea, this study aimed to analyze the association between the use of various anti-rheumatic agents and the risk of acute myocardial infarction (AMI) in patients with rheumatoid arthritis (RA). Methods: This nested case-control study used the Korean Health Insurance Review and Assessment data of 35,133 patients newly diagnosed with RA between 2011 and 2020. Incident AMI patients were identified and matched at a 1:4 ratio with randomly selected controls. The usage of anti-rheumatic agents was measured from the date of RA diagnosis to the index date and stratified based on exposure time and duration. The risk of AMI associated with each anti-rheumatic agent was estimated using conditional logistic regression, adjusted for comorbidities and concomitant drug use. Results: Of the 35,133 patients with RA, 484 were diagnosed with AMI. In total, 484 AMI patients and 1,924 controls with newly diagnosed RA were included in the analysis. Current exposure and long-term exposure to glucocorticoids (adjusted odds ratio [aOR]: 2.301, 95% confidence interval [CI]: 1.741~3.041; aOR: 1.792, 95% CI: 1.378~2.330) and leflunomide (aOR: 1.525, 95% CI: 1.196~1.944; aOR: 1.740, 95% CI: 1.372~2.207) were associated with an increased risk of AMI. Conclusion The study demonstrates a significant association between the current and long-term use of glucocorticoids and leflunomide and an increased risk of AMI in patients with RA. These findings underscore the importance of careful consideration of cardiovascular risks when selecting anti-rheumatic agents for RA treatment.

Objective: Using a nationally representative cohort of medical claims data in Korea, this study aimed to analyze the association between the use of various anti-rheumatic agents and the risk of acute myocardial infarction (AMI) in patients with rheumatoid arthritis (RA). Methods: This nested case-control study used the Korean Health Insurance Review and Assessment data of 35,133 patients newly diagnosed with RA between 2011 and 2020. Incident AMI patients were identified and matched at a 1:4 ratio with randomly selected controls. The usage of anti-rheumatic agents was measured from the date of RA diagnosis to the index date and stratified based on exposure time and duration. The risk of AMI associated with each anti-rheumatic agent was estimated using conditional logistic regression, adjusted for comorbidities and concomitant drug use. Results: Of the 35,133 patients with RA, 484 were diagnosed with AMI. In total, 484 AMI patients and 1,924 controls with newly diagnosed RA were included in the analysis. Current exposure and long-term exposure to glucocorticoids (adjusted odds ratio [aOR]: 2.301, 95% confidence interval [CI]: 1.741~3.041; aOR: 1.792, 95% CI: 1.378~2.330) and leflunomide (aOR: 1.525, 95% CI: 1.196~1.944; aOR: 1.740, 95% CI: 1.372~2.207) were associated with an increased risk of AMI. Conclusion The study demonstrates a significant association between the current and long-term use of glucocorticoids and leflunomide and an increased risk of AMI in patients with RA. These findings underscore the importance of careful consideration of cardiovascular risks when selecting anti-rheumatic agents for RA treatment.

Objective: Using a nationally representative cohort of medical claims data in Korea, this study aimed to analyze the association between the use of various anti-rheumatic agents and the risk of acute myocardial infarction (AMI) in patients with rheumatoid arthritis (RA). Methods: This nested case-control study used the Korean Health Insurance Review and Assessment data of 35,133 patients newly diagnosed with RA between 2011 and 2020. Incident AMI patients were identified and matched at a 1:4 ratio with randomly selected controls. The usage of anti-rheumatic agents was measured from the date of RA diagnosis to the index date and stratified based on exposure time and duration. The risk of AMI associated with each anti-rheumatic agent was estimated using conditional logistic regression, adjusted for comorbidities and concomitant drug use. Results: Of the 35,133 patients with RA, 484 were diagnosed with AMI. In total, 484 AMI patients and 1,924 controls with newly diagnosed RA were included in the analysis. Current exposure and long-term exposure to glucocorticoids (adjusted odds ratio [aOR]: 2.301, 95% confidence interval [CI]: 1.741~3.041; aOR: 1.792, 95% CI: 1.378~2.330) and leflunomide (aOR: 1.525, 95% CI: 1.196~1.944; aOR: 1.740, 95% CI: 1.372~2.207) were associated with an increased risk of AMI. Conclusion The study demonstrates a significant association between the current and long-term use of glucocorticoids and leflunomide and an increased risk of AMI in patients with RA. These findings underscore the importance of careful consideration of cardiovascular risks when selecting anti-rheumatic agents for RA treatment.

Purpose: To identify the prevalence and risk factors of coronavirus disease 2019 (COVID-19) reinfection in patients with rheumatoid arthritis (RA). Materials and Methods: This study retrospectively analyzed patients with RA with a documented COVID-19 infection between January 2021 and December 2022 at a tertiary hospital in Seoul, South Korea. Reinfection was defined as a subsequent positive test result for severe acute respiratory syndrome coronavirus 2 at least 3 months after the initial infection. Cox proportional hazards models with backward elimination were employed to assess the association between potential risk factors and risk of reinfection. Results: Of 351 included patients with RA {female, 81.5%; median age, 58.0 years [interquartile range (IQR), 48.0–66.0]}, 252 (71.8%) were treated with methotrexate and 12 (3.4%) received leflunomide during the initial infection. Over a median follow-up of 1.5 (IQR, 1.1–1.6) years, 43 (12.3%) patients experienced reinfection, equating to an incidence rate of 8.97 per 100 patient-years.The median time interval between infections was 0.8 (IQR, 0.6–1.2) years. Among the risk factors, leflunomide use showed a significant association with reinfection (hazard ratio, 2.968; 95% confidence interval, 1.057–8.335; p=0.039). However, no significant changes occurred in disease activity following reinfection [disease activity score using 28 joints: baseline median, 2.3 (IQR, 1.9– 2.8); post-reinfection median, 2.3 (IQR, 1.8–2.6), p for change=0.895]. Conclusion In this retrospective cohort study of patients with RA with COVID-19 infection, approximately 12% of patients experienced reinfection without significant change in disease activity. Leflunomide use was associated with a higher risk of reinfection.

Purpose: To identify the prevalence and risk factors of coronavirus disease 2019 (COVID-19) reinfection in patients with rheumatoid arthritis (RA). Materials and Methods: This study retrospectively analyzed patients with RA with a documented COVID-19 infection between January 2021 and December 2022 at a tertiary hospital in Seoul, South Korea. Reinfection was defined as a subsequent positive test result for severe acute respiratory syndrome coronavirus 2 at least 3 months after the initial infection. Cox proportional hazards models with backward elimination were employed to assess the association between potential risk factors and risk of reinfection. Results: Of 351 included patients with RA {female, 81.5%; median age, 58.0 years [interquartile range (IQR), 48.0–66.0]}, 252 (71.8%) were treated with methotrexate and 12 (3.4%) received leflunomide during the initial infection. Over a median follow-up of 1.5 (IQR, 1.1–1.6) years, 43 (12.3%) patients experienced reinfection, equating to an incidence rate of 8.97 per 100 patient-years.The median time interval between infections was 0.8 (IQR, 0.6–1.2) years. Among the risk factors, leflunomide use showed a significant association with reinfection (hazard ratio, 2.968; 95% confidence interval, 1.057–8.335; p=0.039). However, no significant changes occurred in disease activity following reinfection [disease activity score using 28 joints: baseline median, 2.3 (IQR, 1.9– 2.8); post-reinfection median, 2.3 (IQR, 1.8–2.6), p for change=0.895]. Conclusion In this retrospective cohort study of patients with RA with COVID-19 infection, approximately 12% of patients experienced reinfection without significant change in disease activity. Leflunomide use was associated with a higher risk of reinfection.

Purpose: To identify the prevalence and risk factors of coronavirus disease 2019 (COVID-19) reinfection in patients with rheumatoid arthritis (RA). Materials and Methods: This study retrospectively analyzed patients with RA with a documented COVID-19 infection between January 2021 and December 2022 at a tertiary hospital in Seoul, South Korea. Reinfection was defined as a subsequent positive test result for severe acute respiratory syndrome coronavirus 2 at least 3 months after the initial infection. Cox proportional hazards models with backward elimination were employed to assess the association between potential risk factors and risk of reinfection. Results: Of 351 included patients with RA {female, 81.5%; median age, 58.0 years [interquartile range (IQR), 48.0–66.0]}, 252 (71.8%) were treated with methotrexate and 12 (3.4%) received leflunomide during the initial infection. Over a median follow-up of 1.5 (IQR, 1.1–1.6) years, 43 (12.3%) patients experienced reinfection, equating to an incidence rate of 8.97 per 100 patient-years.The median time interval between infections was 0.8 (IQR, 0.6–1.2) years. Among the risk factors, leflunomide use showed a significant association with reinfection (hazard ratio, 2.968; 95% confidence interval, 1.057–8.335; p=0.039). However, no significant changes occurred in disease activity following reinfection [disease activity score using 28 joints: baseline median, 2.3 (IQR, 1.9– 2.8); post-reinfection median, 2.3 (IQR, 1.8–2.6), p for change=0.895]. Conclusion In this retrospective cohort study of patients with RA with COVID-19 infection, approximately 12% of patients experienced reinfection without significant change in disease activity. Leflunomide use was associated with a higher risk of reinfection.

Objective: In early-stage endometrial cancer, aggressive histologic types (grade 3 endometrioid, serous, clear cell, carcinosarcomas, undifferentiated, mixed, and other unusual types) are associated with an increased risk of distant metastases and worse survival. However, the optimal adjuvant treatment for these patients remains controversial. The present study investigated the outcomes of different adjuvant treatments in patients with 2023 FIGO stage IIC endometrial cancer. Methods: We retrospectively identified patients with 2023 FIGO stage IIC endometrial cancer who underwent surgery followed by either adjuvant treatment or observation from 2000 to 2020 at two tertiary centers in Korea and Taiwan. Recurrence-free survival (RFS) and overall survival (OS) were evaluated using Kaplan-Meier estimates and Cox proportional-hazards models. We also analyzed recurrence patterns after different adjuvant treatments. Results: A total of 272 patients were identified; 204 received adjuvant treatment postoperatively, whereas 68 only underwent observation. Adjuvant treatment was not associated with improved RFS or OS. Non-endometrioid histologic types (p=0.003) and presence of lymphovascular space invasion (LVSI, p=0.002) were associated with worse RFS, whereas only non-endometrioid histologic types impacted OS (p=0.004). In subgroup analyses, adjuvant treatment improved OS in patients with LVSI (p=0.020) and in patients with both LVSI and grade 3 endometrioid histologic type (p=0.007). We found no difference in locoregional and distant recurrence between patients undergoing adjuvant treatment or observation. Conclusion In this study, the addition of adjuvant treatment was associated with an OS benefit for patients with LVSI, especially those with grade 3 endometrioid tumors.

Objective: In early-stage endometrial cancer, aggressive histologic types (grade 3 endometrioid, serous, clear cell, carcinosarcomas, undifferentiated, mixed, and other unusual types) are associated with an increased risk of distant metastases and worse survival. However, the optimal adjuvant treatment for these patients remains controversial. The present study investigated the outcomes of different adjuvant treatments in patients with 2023 FIGO stage IIC endometrial cancer. Methods: We retrospectively identified patients with 2023 FIGO stage IIC endometrial cancer who underwent surgery followed by either adjuvant treatment or observation from 2000 to 2020 at two tertiary centers in Korea and Taiwan. Recurrence-free survival (RFS) and overall survival (OS) were evaluated using Kaplan-Meier estimates and Cox proportional-hazards models. We also analyzed recurrence patterns after different adjuvant treatments. Results: A total of 272 patients were identified; 204 received adjuvant treatment postoperatively, whereas 68 only underwent observation. Adjuvant treatment was not associated with improved RFS or OS. Non-endometrioid histologic types (p=0.003) and presence of lymphovascular space invasion (LVSI, p=0.002) were associated with worse RFS, whereas only non-endometrioid histologic types impacted OS (p=0.004). In subgroup analyses, adjuvant treatment improved OS in patients with LVSI (p=0.020) and in patients with both LVSI and grade 3 endometrioid histologic type (p=0.007). We found no difference in locoregional and distant recurrence between patients undergoing adjuvant treatment or observation. Conclusion In this study, the addition of adjuvant treatment was associated with an OS benefit for patients with LVSI, especially those with grade 3 endometrioid tumors.

Purpose: To identify the prevalence and risk factors of coronavirus disease 2019 (COVID-19) reinfection in patients with rheumatoid arthritis (RA). Materials and Methods: This study retrospectively analyzed patients with RA with a documented COVID-19 infection between January 2021 and December 2022 at a tertiary hospital in Seoul, South Korea. Reinfection was defined as a subsequent positive test result for severe acute respiratory syndrome coronavirus 2 at least 3 months after the initial infection. Cox proportional hazards models with backward elimination were employed to assess the association between potential risk factors and risk of reinfection. Results: Of 351 included patients with RA {female, 81.5%; median age, 58.0 years [interquartile range (IQR), 48.0–66.0]}, 252 (71.8%) were treated with methotrexate and 12 (3.4%) received leflunomide during the initial infection. Over a median follow-up of 1.5 (IQR, 1.1–1.6) years, 43 (12.3%) patients experienced reinfection, equating to an incidence rate of 8.97 per 100 patient-years.The median time interval between infections was 0.8 (IQR, 0.6–1.2) years. Among the risk factors, leflunomide use showed a significant association with reinfection (hazard ratio, 2.968; 95% confidence interval, 1.057–8.335; p=0.039). However, no significant changes occurred in disease activity following reinfection [disease activity score using 28 joints: baseline median, 2.3 (IQR, 1.9– 2.8); post-reinfection median, 2.3 (IQR, 1.8–2.6), p for change=0.895]. Conclusion In this retrospective cohort study of patients with RA with COVID-19 infection, approximately 12% of patients experienced reinfection without significant change in disease activity. Leflunomide use was associated with a higher risk of reinfection.

Objective: In early-stage endometrial cancer, aggressive histologic types (grade 3 endometrioid, serous, clear cell, carcinosarcomas, undifferentiated, mixed, and other unusual types) are associated with an increased risk of distant metastases and worse survival. However, the optimal adjuvant treatment for these patients remains controversial. The present study investigated the outcomes of different adjuvant treatments in patients with 2023 FIGO stage IIC endometrial cancer. Methods: We retrospectively identified patients with 2023 FIGO stage IIC endometrial cancer who underwent surgery followed by either adjuvant treatment or observation from 2000 to 2020 at two tertiary centers in Korea and Taiwan. Recurrence-free survival (RFS) and overall survival (OS) were evaluated using Kaplan-Meier estimates and Cox proportional-hazards models. We also analyzed recurrence patterns after different adjuvant treatments. Results: A total of 272 patients were identified; 204 received adjuvant treatment postoperatively, whereas 68 only underwent observation. Adjuvant treatment was not associated with improved RFS or OS. Non-endometrioid histologic types (p=0.003) and presence of lymphovascular space invasion (LVSI, p=0.002) were associated with worse RFS, whereas only non-endometrioid histologic types impacted OS (p=0.004). In subgroup analyses, adjuvant treatment improved OS in patients with LVSI (p=0.020) and in patients with both LVSI and grade 3 endometrioid histologic type (p=0.007). We found no difference in locoregional and distant recurrence between patients undergoing adjuvant treatment or observation. Conclusion In this study, the addition of adjuvant treatment was associated with an OS benefit for patients with LVSI, especially those with grade 3 endometrioid tumors.