Background/Aims: This study aimed to evaluate the performance of the Model for End-Stage Liver Disease (MELD) 3.0 for predicting mortality and liver-related complications compared with the Child-Pugh classification, albumin-bilirubin (ALBI) grade, the MELD, and the MELD sodium (MELDNa) score. Methods: We evaluated a multicenter retrospective cohort of incorporated patients with cirrhosis between 2013 and 2019. We conducted comparisons of the area under the receiver operating characteristic curve (AUROC) of the MELD3.0 and other models for predicting 3-month mortality. Additionally, we assessed the risk of cirrhosis-related complications according to the MELD3.0 score. Results: A total of 3,314 patients were included. The mean age was 55.9±11.3 years, and 70.2% of the patients were male. Within the initial 3 months, 220 patients (6.6%) died, and the MELD3.0had the best predictive performance among the tested models, with an AUROC of 0.851, outperforming the Child-Pugh classification, ALBI grade, MELD, and MELDNa. A high MELD3.0score was associated with an increased risk of mortality. Compared with that of the group with a MELD3.0 score <10 points, the adjusted hazard ratio of the group with a score of 10–20 pointswas 2.176, and that for the group with a score of ≥20 points was 4.892. Each 1-point increase inthe MELD3.0 score increased the risk of cirrhosis-related complications by 1.033-fold. The risk of hepatorenal syndrome showed the highest increase, with an adjusted hazard ratio of 1.149, followed by hepatic encephalopathy and ascites. Conclusions The MELD3.0 demonstrated robust prognostic performance in predicting mortality in patients with cirrhosis. Moreover, the MELD3.0 score was linked to cirrhosis-related complications, particularly those involving kidney function, such as hepatorenal syndrome and ascites.

Background/Aims: This study aimed to evaluate the performance of the Model for End-Stage Liver Disease (MELD) 3.0 for predicting mortality and liver-related complications compared with the Child-Pugh classification, albumin-bilirubin (ALBI) grade, the MELD, and the MELD sodium (MELDNa) score. Methods: We evaluated a multicenter retrospective cohort of incorporated patients with cirrhosis between 2013 and 2019. We conducted comparisons of the area under the receiver operating characteristic curve (AUROC) of the MELD3.0 and other models for predicting 3-month mortality. Additionally, we assessed the risk of cirrhosis-related complications according to the MELD3.0 score. Results: A total of 3,314 patients were included. The mean age was 55.9±11.3 years, and 70.2% of the patients were male. Within the initial 3 months, 220 patients (6.6%) died, and the MELD3.0had the best predictive performance among the tested models, with an AUROC of 0.851, outperforming the Child-Pugh classification, ALBI grade, MELD, and MELDNa. A high MELD3.0score was associated with an increased risk of mortality. Compared with that of the group with a MELD3.0 score <10 points, the adjusted hazard ratio of the group with a score of 10–20 pointswas 2.176, and that for the group with a score of ≥20 points was 4.892. Each 1-point increase inthe MELD3.0 score increased the risk of cirrhosis-related complications by 1.033-fold. The risk of hepatorenal syndrome showed the highest increase, with an adjusted hazard ratio of 1.149, followed by hepatic encephalopathy and ascites. Conclusions The MELD3.0 demonstrated robust prognostic performance in predicting mortality in patients with cirrhosis. Moreover, the MELD3.0 score was linked to cirrhosis-related complications, particularly those involving kidney function, such as hepatorenal syndrome and ascites.

Background/Aims: This study aimed to evaluate the performance of the Model for End-Stage Liver Disease (MELD) 3.0 for predicting mortality and liver-related complications compared with the Child-Pugh classification, albumin-bilirubin (ALBI) grade, the MELD, and the MELD sodium (MELDNa) score. Methods: We evaluated a multicenter retrospective cohort of incorporated patients with cirrhosis between 2013 and 2019. We conducted comparisons of the area under the receiver operating characteristic curve (AUROC) of the MELD3.0 and other models for predicting 3-month mortality. Additionally, we assessed the risk of cirrhosis-related complications according to the MELD3.0 score. Results: A total of 3,314 patients were included. The mean age was 55.9±11.3 years, and 70.2% of the patients were male. Within the initial 3 months, 220 patients (6.6%) died, and the MELD3.0had the best predictive performance among the tested models, with an AUROC of 0.851, outperforming the Child-Pugh classification, ALBI grade, MELD, and MELDNa. A high MELD3.0score was associated with an increased risk of mortality. Compared with that of the group with a MELD3.0 score <10 points, the adjusted hazard ratio of the group with a score of 10–20 pointswas 2.176, and that for the group with a score of ≥20 points was 4.892. Each 1-point increase inthe MELD3.0 score increased the risk of cirrhosis-related complications by 1.033-fold. The risk of hepatorenal syndrome showed the highest increase, with an adjusted hazard ratio of 1.149, followed by hepatic encephalopathy and ascites. Conclusions The MELD3.0 demonstrated robust prognostic performance in predicting mortality in patients with cirrhosis. Moreover, the MELD3.0 score was linked to cirrhosis-related complications, particularly those involving kidney function, such as hepatorenal syndrome and ascites.

Background/Aims: This study aimed to evaluate the performance of the Model for End-Stage Liver Disease (MELD) 3.0 for predicting mortality and liver-related complications compared with the Child-Pugh classification, albumin-bilirubin (ALBI) grade, the MELD, and the MELD sodium (MELDNa) score. Methods: We evaluated a multicenter retrospective cohort of incorporated patients with cirrhosis between 2013 and 2019. We conducted comparisons of the area under the receiver operating characteristic curve (AUROC) of the MELD3.0 and other models for predicting 3-month mortality. Additionally, we assessed the risk of cirrhosis-related complications according to the MELD3.0 score. Results: A total of 3,314 patients were included. The mean age was 55.9±11.3 years, and 70.2% of the patients were male. Within the initial 3 months, 220 patients (6.6%) died, and the MELD3.0had the best predictive performance among the tested models, with an AUROC of 0.851, outperforming the Child-Pugh classification, ALBI grade, MELD, and MELDNa. A high MELD3.0score was associated with an increased risk of mortality. Compared with that of the group with a MELD3.0 score <10 points, the adjusted hazard ratio of the group with a score of 10–20 pointswas 2.176, and that for the group with a score of ≥20 points was 4.892. Each 1-point increase inthe MELD3.0 score increased the risk of cirrhosis-related complications by 1.033-fold. The risk of hepatorenal syndrome showed the highest increase, with an adjusted hazard ratio of 1.149, followed by hepatic encephalopathy and ascites. Conclusions The MELD3.0 demonstrated robust prognostic performance in predicting mortality in patients with cirrhosis. Moreover, the MELD3.0 score was linked to cirrhosis-related complications, particularly those involving kidney function, such as hepatorenal syndrome and ascites.

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.

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.

Background: The benefits of transradial access (TRA) over transfemoral access (TFA) for bifurcation percutaneous coronary intervention (PCI) are uncertain because of the limited availability of device selection. This study aimed to compare the procedural differences and the in-hospital and long-term outcomes of TRA and TFA for bifurcation PCI using secondgeneration drug-eluting stents (DESs). Methods: Based on data from the Coronary Bifurcation Stenting Registry III, a retrospective registry of 2,648 patients undergoing bifurcation PCI with second-generation DES from 21 centers in South Korea, patients were categorized into the TRA group (n = 1,507) or the TFA group (n = 1,141). After propensity score matching (PSM), procedural differences, in-hospital outcomes, and device-oriented composite outcomes (DOCOs; a composite of cardiac death, target vessel-related myocardial infarction, and target lesion revascularization) were compared between the two groups (772 matched patients each group). Results: Despite well-balanced baseline clinical and lesion characteristics after PSM, the use of the two-stent strategy (14.2% vs. 23.7%, P = 0.001) and the incidence of in-hospital adverse outcomes, primarily driven by access site complications (2.2% vs. 4.4%, P = 0.015), were significantly lower in the TRA group than in the TFA group. At the 5-year follow-up, the incidence of DOCOs was similar between the groups (6.3% vs. 7.1%, P = 0.639). Conclusion The findings suggested that TRA may be safer than TFA for bifurcation PCI using second-generation DESs. Despite differences in treatment strategy, TRA was associated with similar long-term clinical outcomes as those of TFA. Therefore, TRA might be the preferred access for bifurcation PCI using second-generation DES.

Objective: Continuous positive airway pressure (CPAP) is the preferred treatment for obstructive sleep apnea (OSA). However, compliance with CPAP therapy varies among studies, and studies on its predictors are insufficient in Korea. This study aimed to identify factors that predict compliance with CPAP therapy in patients with OSA. Methods: We retrospectively reviewed medical records, polysomnography (PSG) records, and self-report questionnaires of patients w ith OSA. Criteria for compliance was the use of CPAP devices for ≥4 h per night for ≥70% of the consecutive 30 nights (i.e., 21 days) during the first 3 months of treatment initiation. The patients were classified into two groups: compliant and non-compliant. Logistic regression analyses were performed to identify the clinical factors and PSG parameters associated with CPAP compliance. Results: Of the 188 participants, 80 were classified into the compliant group and 108 into the non-compliant group. The ratios of stage N1 (p=0.011) and health insurance coverage (p=0.007) were significantly associated with compliance with CPAP, with an explanatory power of 18.6% (R2=0.186, p<0.001). Conclusion Stage N1 ratio and health insurance coverage were significant predictors of CPAP compliance. It is necessary to confirm whether the relationship between a high stage N1 ratio and compliance can be reproduced in a larger sample and in individuals from other countries.

Quantification of tyrosine hydroxylase (TH)-positive neurons is essential for the preclinical study of Parkinson’s disease (PD). However, manual analysis of immunohistochemical (IHC) images is labor-intensive and has less reproducibility due to the lack of objectivity. Therefore, several automated methods of IHC image analysis have been proposed, although they have limitations of low accuracy and difficulties in practical use. Here, we developed a convolutional neural network-based machine learning algorithm for TH+ cell counting. The developed analytical tool showed higher accuracy than the conventional methods and could be used under diverse experimental conditions of image staining intensity, brightness, and contrast. Our automated cell detection algorithm is available for free and has an intelligible graphical user interface for cell counting to assist practical applications. Overall, we expect that the proposed TH+ cell counting tool will promote preclinical PD research by saving time and enabling objective analysis of IHC images.