Development and Validation of a Novel Tool to Predict Model for End-Stage Liver Disease (MELD) Scores in Cirrhosis, Using Administrative Datasets

Tracey G Simon1 Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA;2 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA

https://orcid.org/0000-0003-0610-5287 View further author information

Sebastian Schneeweiss2 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA

https://orcid.org/0000-0003-2575-467X View further author information

Richard Wyss2 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information

Zhigang Lu2 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information

Lily G Bessette2 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information

Cassandra York2 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information

Kueiyu Joshua Lin1 Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA;2 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USACorrespondence[email protected]
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Figure 1 Area under the receiver operating characteristic (AUROC) curves for the performance of the MELD prediction tool in the medicare internal validation set and the Medicaid external validation set.

Abbreviations: ROC, receiver operating characteristic; MELD, model for end-stage liver disease.

Development and Validation of a Novel Tool to Predict Model for End-Stage Liver Disease (MELD) Scores in Cirrhosis, Using Administrative Datasets

Table 1 Patient Characteristics in the Medicare Training Set, Medicare Validation Set, and in the External Medicaid Validation Set

Table 2 Mean Observed MELD Score by Deciles of Predicted MELD Score

Table 3 Performance of the MELD Prediction Score

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Development and Validation of a Novel Tool to Predict Model for End-Stage Liver Disease (MELD) Scores in Cirrhosis, Using Administrative Datasets

Figures & data

Table 1 Patient Characteristics in the Medicare Training Set, Medicare Validation Set, and in the External Medicaid Validation Set

Table 2 Mean Observed MELD Score by Deciles of Predicted MELD Score

Table 3 Performance of the MELD Prediction Score

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