To develop the post-discharge mortality prediction model, the researchers analyzed a population of 314,292 patients who received care at Mass General or Boston-based Brigham and Women’s Hospital between 1992 and 2010. They determined nine of 68 variables identified in patient EMRs were effective predictors of 90-day mortality, including total cholesterol, white blood cell count and age.
With the nine variables, the researchers created a risk score, called MELD-Plus. To evaluate MELD-Plus, they applied the risk score to all cirrhosis-related admissions in an independent EMR database of more than 18 million patients between 2010 and 2015. They determined the risk score resulted in improved performance over various existing prediction models.
“Accurate assessment of the risk of mortality following a cirrhosis-related admission can enable healthcare providers to identify high-risk patients and modify treatment plans to decrease the risk of mortality,” the study authors wrote.
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