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KMID : 0191120230380350274
Journal of Korean Medical Science
2023 Volume.38 No. 35 p.274 ~ p.274
Predicted Impact of the Model for End-Stage Liver Disease 3.0 in a Region Suffering Severe Organ Shortage
Kim Deok-Gie

Yim Seung-Hyuk
Min Eun-Ki
Choi Mun-Chae
Lee Jae-Geun
Kim Myoung-Soo
Joo Dong-Jin
Abstract
Background : The model for end-stage liver disease 3.0 (MELD3.0) is expected to address the flaws of the current allocation system for deceased donor liver transplantation (DDLT). We aimed to validate MELD3.0 in the Korean population where living donor liver transplantation is predominant due to organ shortages.

Methods : Korean large-volume single-centric waitlist data were merged with the Korean Network for Organ Sharing (KONOS) data. The 90-day mortality was compared between MELD and MELD3.0 using the C-index in 2,353 eligible patients registered for liver transplantation. Patient numbers and outcomes were compared based on changes in KONOS-MELD categorization using MELD3.0. Possible gains in MELD points and reduced waitlist mortality were analyzed.

Results : MELD3.0 performed better than MELD (C-index 0.893 for MELD3.0 vs. 0.889 for MELD). When stratified according to the KONOS-MELD categories, 15.9% of the total patients and 35.2% of the deceased patients were up-categorized using MELD3.0 versus MELD categories. The mean gain of MELD points was higher in women (2.6 ¡¾ 2.1) than men (2.1 ¡¾ 1.9, P < 0.001), and higher in patients with severe ascites (3.3 ¡¾ 1.8) than in controls (1.9 ¡¾ 1.8, P < 0.001); however, this trend was not significant when the MELD score was higher than 30. When the possible increase in DDLT chance was calculated via up-categorizing using MELD3.0, reducible waitlist mortality was 2.7%.

Conclusion : MELD3.0 could predict better waitlist mortality than MELD; however, the merit for women and patients with severe ascites is uncertain, and reduced waitlist mortality from implementing MELD3.0 is limited in regions suffering from organ shortage, as in Korea.
KEYWORD
MELD3.0, Liver Transplantation, Allocation, MELD, Waitlist Mortality
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