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.

Purpose: This study aimed to examine changes in nurse staffing grades and nursing fee revenues in intensive care units (ICUs) following the third amendment of the resource-based relative value scale, which was implemented in January 2024. Methods: Changes in staffing grades from the fourth quarter of 2023 to the first quarter of 2024 were analyzed among 588 general ICUs, 94 neonatal ICUs, and 13 pediatric ICUs. Annual nursing fee revenues per nurse were estimated based on the new nursing fee structure for each grade. Results: In general ICUs, the highest grade (grade S) and the second-highest grade (grade A) accounted for 7.3% and 41.5%, respectively, in tertiary hospitals, whereas 3.8% were grade S and 11.5% were grade A in general hospitals. In neonatal ICUs, the proportion of higher grades (S, A, and 1) was greater in general hospitals (54.3%) than in tertiary hospitals (38.6%). In pediatric ICUs, 30.8% were grade S and 61.5% were grade A. When applying the same grading criteria (i.e., beds per nurse) across both quarters, staffing levels remained unchanged in most ICUs. Nursing fees and their revenues did not increase proportionally to staffing requirements (i.e., the number of nurses required per patient). Conclusion Revisions to staffing grade and nursing fee systems are necessary to induce medical institutions to improve their ICU staffing levels.

Purpose: This study aimed to examine changes in nurse staffing grades and nursing fee revenues in intensive care units (ICUs) following the third amendment of the resource-based relative value scale, which was implemented in January 2024. Methods: Changes in staffing grades from the fourth quarter of 2023 to the first quarter of 2024 were analyzed among 588 general ICUs, 94 neonatal ICUs, and 13 pediatric ICUs. Annual nursing fee revenues per nurse were estimated based on the new nursing fee structure for each grade. Results: In general ICUs, the highest grade (grade S) and the second-highest grade (grade A) accounted for 7.3% and 41.5%, respectively, in tertiary hospitals, whereas 3.8% were grade S and 11.5% were grade A in general hospitals. In neonatal ICUs, the proportion of higher grades (S, A, and 1) was greater in general hospitals (54.3%) than in tertiary hospitals (38.6%). In pediatric ICUs, 30.8% were grade S and 61.5% were grade A. When applying the same grading criteria (i.e., beds per nurse) across both quarters, staffing levels remained unchanged in most ICUs. Nursing fees and their revenues did not increase proportionally to staffing requirements (i.e., the number of nurses required per patient). Conclusion Revisions to staffing grade and nursing fee systems are necessary to induce medical institutions to improve their ICU staffing levels.

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.

Purpose: This study aimed to examine changes in nurse staffing grades and nursing fee revenues in intensive care units (ICUs) following the third amendment of the resource-based relative value scale, which was implemented in January 2024. Methods: Changes in staffing grades from the fourth quarter of 2023 to the first quarter of 2024 were analyzed among 588 general ICUs, 94 neonatal ICUs, and 13 pediatric ICUs. Annual nursing fee revenues per nurse were estimated based on the new nursing fee structure for each grade. Results: In general ICUs, the highest grade (grade S) and the second-highest grade (grade A) accounted for 7.3% and 41.5%, respectively, in tertiary hospitals, whereas 3.8% were grade S and 11.5% were grade A in general hospitals. In neonatal ICUs, the proportion of higher grades (S, A, and 1) was greater in general hospitals (54.3%) than in tertiary hospitals (38.6%). In pediatric ICUs, 30.8% were grade S and 61.5% were grade A. When applying the same grading criteria (i.e., beds per nurse) across both quarters, staffing levels remained unchanged in most ICUs. Nursing fees and their revenues did not increase proportionally to staffing requirements (i.e., the number of nurses required per patient). Conclusion Revisions to staffing grade and nursing fee systems are necessary to induce medical institutions to improve their ICU staffing levels.

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.

Purpose: This study aimed to examine changes in nurse staffing grades and nursing fee revenues in intensive care units (ICUs) following the third amendment of the resource-based relative value scale, which was implemented in January 2024. Methods: Changes in staffing grades from the fourth quarter of 2023 to the first quarter of 2024 were analyzed among 588 general ICUs, 94 neonatal ICUs, and 13 pediatric ICUs. Annual nursing fee revenues per nurse were estimated based on the new nursing fee structure for each grade. Results: In general ICUs, the highest grade (grade S) and the second-highest grade (grade A) accounted for 7.3% and 41.5%, respectively, in tertiary hospitals, whereas 3.8% were grade S and 11.5% were grade A in general hospitals. In neonatal ICUs, the proportion of higher grades (S, A, and 1) was greater in general hospitals (54.3%) than in tertiary hospitals (38.6%). In pediatric ICUs, 30.8% were grade S and 61.5% were grade A. When applying the same grading criteria (i.e., beds per nurse) across both quarters, staffing levels remained unchanged in most ICUs. Nursing fees and their revenues did not increase proportionally to staffing requirements (i.e., the number of nurses required per patient). Conclusion Revisions to staffing grade and nursing fee systems are necessary to induce medical institutions to improve their ICU staffing levels.