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Paper Details

A clinical risk prediction model to identify patients with hepatorenal syndrome at hospital admission.
Int J Clin Pract
2
2019
HRS, Hepatorenal syndrome, Kidney Disease, acute kidney injury, cirrhosis, cirrhotic, hepatorenal syndrome, patients
Acute Kidney Injury, Adult, Area Under Curve, Cohort Studies, Female, Hepatorenal Syndrome, Hospitalization, Humans, Intensive Care Units, Liver Cirrhosis, Logistic Models, Male, Middle Aged, Patient Admission, Retrospective Studies, Severity of Illness Index
Author NameAffiliation
Jejo KoolaTennessee Valley Healthcare System (TVHS) Veterans Administration Medical Center
Jejo KoolaUniversity of California
Jejo KoolaDivision of Hospital Medicine, University of California
Guanhua ChenUniversity of Wisconsin-Madison
Guanhua ChenUniversity of Wisconsin-Madison
Bradley A MalinVanderbilt University Medical Center
Bradley A MalinVanderbilt University Medical Center
Bradley A MalinVanderbilt University
Daniel FabbriVanderbilt University Medical Center
Daniel FabbriVanderbilt University
Edward D SiewTennessee Valley Healthcare System (TVHS) Veterans Administration Medical Center
Edward D SiewVanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI Research (VIP-AKI), Vanderbilt University Medical Center
Samuel B HoVA San Diego Healthcare System
Samuel B HoUniversity of California
Olga V PattersonUniversity of Utah
Olga V Patterson
Michael MathenyTennessee Valley Healthcare System (TVHS) Veterans Administration Medical Center
Michael MathenyVanderbilt University Medical Center
Michael MathenyVanderbilt University Medical Center
Michael MathenyVanderbilt University Medical Center
Michael E MathenyTennessee Valley Healthcare System (TVHS) Veterans Administration Medical Center
Michael E MathenyVanderbilt University Medical Center
Michael E MathenyVanderbilt University Medical Center
Michael E MathenyVanderbilt University Medical Center
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Release 1.2