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A patient's model for end\u2010stage liver disease (MELD) score and an organ's Donor risk index (DRI) have both been found to be significant predictors of <jats:styled-content style=\"fixed-case\">LOS<\/jats:styled-content>, but these two factors alone are insufficient to form an accurate prediction. Previous studies have identified other factors predictive of <jats:styled-content style=\"fixed-case\">LOS<\/jats:styled-content>, which can be incorporated with <jats:styled-content style=\"fixed-case\">MELD<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">DRI<\/jats:styled-content> to create more specific results. The objective of this study was to create an algorithm, or models, based on the most significant <jats:styled-content style=\"fixed-case\">LOS<\/jats:styled-content> predictors as identified from national data at different stages of the transplant process. Four models were developed predicting <jats:styled-content style=\"fixed-case\">LOS<\/jats:styled-content> using recipient factors, payment factors, donor factors, and postoperative factors. A medical care team member can enter a patient's data into the model and receive a reasonably accurate prediction of <jats:styled-content style=\"fixed-case\">LOS<\/jats:styled-content> for each phase of the liver transplant process, specifying the impact of each factor. These predictions would help predict the factors most likely to prolong <jats:styled-content style=\"fixed-case\">LOS<\/jats:styled-content>, inform resource allocation, and provide patients with more specific predictions of their <jats:styled-content style=\"fixed-case\">LOS<\/jats:styled-content> following transplantation.<\/jats:p>","DOI":"10.1111\/ctr.12217","type":"journal-article","created":{"date-parts":[[2013,9,2]],"date-time":"2013-09-02T05:30:44Z","timestamp":1378099844000},"page":"809-822","source":"Crossref","is-referenced-by-count":7,"title":["The <scp>HALOS<\/scp>\u2010<scp>ND<\/scp> model: a step in the journey of predicting hospital length of stay after liver transplantation"],"prefix":"10.1111","volume":"27","author":[{"given":"Kartik R.","family":"Krishnan","sequence":"first","affiliation":[{"name":"Internal Medicine University of Washington Seattle WA 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