Strategy Evolves for Improving Liver Allocation

2005 ◽  
Vol 35 (21) ◽  
pp. 63
Author(s):  
ROXANNE NELSON
Keyword(s):  
2015 ◽  
Vol 15 (2) ◽  
pp. 436-444 ◽  
Author(s):  
E. K. Hsu ◽  
M. Shaffer ◽  
M. Bradford ◽  
N. Mayer-Hamblett ◽  
S. Horslen

2014 ◽  
Vol 19 (1) ◽  
pp. 56-61 ◽  
Author(s):  
Marcelo Dip ◽  
Nora Cejas ◽  
Guillermo Cervio ◽  
Federico Villamil ◽  
Viviana Tagliafichi ◽  
...  

2017 ◽  
Vol 22 (2) ◽  
pp. 162-168 ◽  
Author(s):  
Ranjit Deshpande ◽  
Ryutaro Hirose ◽  
David Mulligan
Keyword(s):  

2021 ◽  
Author(s):  
P Ritschl ◽  
L Wiering ◽  
B Globke ◽  
W Schöning ◽  
G Lurje ◽  
...  

2021 ◽  
Author(s):  
Julia M Sealock ◽  
Ioannis Ziogas ◽  
Zhiguo Zhao ◽  
Fei Ye ◽  
Sophoclis Alexopoulos ◽  
...  

Background & Aims: Liver allocation is determined by the model for end-stage liver disease (MELD), a scoring system based on four laboratory measurements. During the MELD era, sex disparities in liver transplant have increased and there are no modifications to MELD based on sex. We use data from electronic health records (EHRs) to describe sex differences in MELD labs and propose a sex adjustment. Methods: We extracted lab values for creatinine, International Normalized Ratio of prothrombin rate, bilirubin, and sodium from EHRs at Vanderbilt University Medical Center (VUMC) and the All of Us Research Project to determine sex differences in lab traits. We calculated MELDNa scores within liver transplant recipients, non-transplanted liver disease cases, and non-liver disease controls separately. To account for sex differences in lab traits in MELDNa scoring, we created a sex-adjusted MELDNa map which outputs adjusted female scores mapped to male scores of equal liver disease severity. Using waitlist data from the Liver Simulated Allocation Modeling, we conducted simulations to determine if the sex-adjusted scores reduced sex disparities. Results: All component MELDNa lab values and calculated MELDNa scores yielded significant sex differences within VUMC (n=623,931) and All of Us (n=56,715) resulting in MELDNa scoring that disadvantaged females who, despite greater decompensation traits, had lower MELDNa scores. In simulations, the sex-adjusted MELDNa score modestly increased female transplantation rate and decreased overall death. Conclusions: Our results demonstrate pervasive sex differences in all labs used in MELDNa scoring and highlight the need and utility of a sex-adjustment to the MELDNa protocol.


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