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Letter to Editor: Using Proper Methods to Identify Patients With Cirrhosis in Administrative Databases Is Crucial to Correctly Predict Outcomes
Author(s) -
Shaheen Abdel Aziz,
Swain Mark G.
Publication year - 2019
Publication title -
hepatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.488
H-Index - 361
eISSN - 1527-3350
pISSN - 0270-9139
DOI - 10.1002/hep.30343
Subject(s) - medicine , cirrhosis , decompensation , hepatic encephalopathy , ascites , context (archaeology) , database , intensive care medicine , computer science , biology , paleontology
We would like to congratulate Mumtaz et al. 1 for their important study attempting to develop and validate a risk score to predict 30-day hospital readmission in decompensated cirrhosis patients using the US nationwide readmission database (NRD). The identification of cirrhosis patients at high-risk for readmission is critical for developing processes to effectively address this problem. However, flaws in patient identification challenge the utility of the risk-score outlined in this study. This article is protected by copyright. All rights reserved.