Liver transplant length of stay (LOS) index: A novel predictive score for hospital length of stay following liver transplantation
Univariate analysis
Imputation (statistics)
DOI:
10.1111/ctr.13141
Publication Date:
2017-10-17T07:22:44Z
AUTHORS (12)
ABSTRACT
An index to predict hospital length of stay after liver transplantation could address unmet clinical needs. Length is an important surrogate for costs and efforts limit stays can preserve our healthcare resources. Here, we devised a scoring system that predicts following transplantation. We used univariate multivariate analyses on 73 635 adult transplant recipient data identified independent donor risk factors prolonged (>30 days). Multiple imputation was account missing variables. 22 as significant predictors stay, including the most factors: intensive care unit (ICU) admission (OR 1.75, CI 1.58-1.95) previous 1.60, 1.47-1.75). The (LOS) assigns weighted points each factor in with c-statistic 0.75. LOS demonstrated good discrimination across entire population, dividing cohort into tertiles, which had odds ratios 2.25 (CI 2.06-2.46) 7.90 (7.29-8.56) utilizes accurately further demonstrates basis clear recommendation mitigate long hospitalization by minimizing cold ischemia time.
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