Literature DB >> 29044759

Liver transplant length of stay (LOS) index: A novel predictive score for hospital length of stay following liver transplantation.

Abbas Rana1, Ellen D Witte1, Karim J Halazun2, Gagan K Sood3, Ayse L Mindikoglu3, Norman L Sussman3, John M Vierling3, Michael L Kueht1, Nhu Thao N Galvan1, Ronald T Cotton1, Christine A O'Mahony1, John A Goss1.   

Abstract

An index to predict hospital length of stay after liver transplantation could address unmet clinical needs. Length of stay is an important surrogate for hospital costs and efforts to limit stays can preserve our healthcare resources. Here, we devised a scoring system that predicts hospital length of stay following liver transplantation. We used univariate and multivariate analyses on 73 635 adult liver transplant recipient data and identified independent recipient and donor risk factors for prolonged hospital stay (>30 days). Multiple imputation was used to account for missing variables. We identified 22 factors as significant predictors of prolonged hospital stay, including the most significant risk factors: intensive care unit (ICU) admission (OR 1.75, CI 1.58-1.95) and previous transplant (OR 1.60, CI 1.47-1.75). The length of stay (LOS) index assigns weighted risk points to each significant factor in a scoring system to predict prolonged hospital stay after liver transplantation with a c-statistic of 0.75. The LOS index demonstrated good discrimination across the entire population, dividing the cohort into tertiles, which had odds ratios of 2.25 (CI 2.06-2.46) and 7.90 (7.29-8.56) for prolonged hospital stay (>30 days). The LOS index utilizes 22 significant donor and recipient factors to accurately predict hospital length of stay following liver transplantation. The index further demonstrates the basis for a clear clinical recommendation to mitigate risk of long hospitalization by minimizing cold ischemia time.
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  hospital length of stay; liver transplantation; predictive index

Mesh:

Year:  2017        PMID: 29044759     DOI: 10.1111/ctr.13141

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  3 in total

1.  Women who undergo liver transplant have longer length of stay post-transplant compared with men.

Authors:  Jessica B Rubin; Giuseppe Cullaro; Jin Ge; Jennifer C Lai
Journal:  Liver Int       Date:  2020-05-25       Impact factor: 5.828

2.  Development of a scoring tool for predicting prolonged length of hospital stay in peritoneal dialysis patients through data mining.

Authors:  Jingyi Wu; Guilan Kong; Yu Lin; Hong Chu; Chao Yang; Ying Shi; Haibo Wang; Luxia Zhang
Journal:  Ann Transl Med       Date:  2020-11

3.  Global impact of the first wave of COVID-19 on liver transplant centers: A multi-society survey (EASL-ESOT/ELITA-ILTS).

Authors:  Francesco Paolo Russo; Manhal Izzy; Ashwin Rammohan; Varvara A Kirchner; Tommaso Di Maira; Luca Saverio Belli; Thomas Berg; Marina Carmen Berenguer; Wojciech Grzegorz Polak
Journal:  J Hepatol       Date:  2021-10-13       Impact factor: 25.083

  3 in total

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