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Psychometric methods for diagnosing and monitoring minimal hepatic encephalopathy —current validation level and practical use.

Authors :
Hansen, Mads Kingo Guldberg
Kjærgaard, Kristoffer
Eriksen, Lotte Lindgreen
Grønkjær, Lea Ladegaard
Mikkelsen, Anne Catrine Daugaard
Sandahl, Thomas Damgaard
Vilstrup, Hendrik
Thomsen, Karen Louise
Lauridsen, Mette Munk Enok
Source :
Metabolic Brain Disease; Mar2022, Vol. 37 Issue 3, p589-605, 17p
Publication Year :
2022

Abstract

Hepatic encephalopathy (HE) is cerebral dysfunction caused by liver failure and inflicts 30-40% of patients with liver cirrhosis during their disease course. Clinically manifest HE is often preceded by minimal HE (MHE) — a clinically undetectable cognitive disturbance closely associated with loss of quality of life. Accordingly, detecting and treating MHE improve the patients' daily functioning and prevent HE-related hospital admissions. The scope of this review article is to create an overview of the validation level and usage of psychometric tests used to detect MHE: Portosystemic hepatic encephalopathy test, continuous reaction time test, Stroop EncephalApp, animal naming test, critical flicker frequency test, and inhibitory control test. Our work is aimed at the clinician or scientist who is about to decide on which psychometric test would fit best in their clinic, cohort, or study. First, we outline psychometric test validation obstacles and requirements. Then, we systematically approach the literature on each test and select well-conducted studies to answer the following questions: • Which percentage of patients with cirrhosis does the test deem as having MHE? • Is the test able to predict clinically manifest HE? • Is there a well-known test-retest variation and inter-observer variation? • Is the test able to detect a treatment response? • Is the test result affected by age, educational level, gender, or comorbidities? [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08857490
Volume :
37
Issue :
3
Database :
Complementary Index
Journal :
Metabolic Brain Disease
Publication Type :
Academic Journal
Accession number :
155125510
Full Text :
https://doi.org/10.1007/s11011-022-00913-w