Development and validation of the AMMON-OHE model to predict risk of overt hepatic encephalopathy occurrence in outpatients with cirrhosis

Copyright © 2023 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved..

BACKGROUND & AIMS: Neuropsychological and psychophysical tests are recommended to assess the risk of overt hepatic encephalopathy (OHE), but their accuracy is limited. Hyperammonaemia is central in the pathogenesis of OHE, but its predictive utility is unknown. In this study, we aimed to determine the role of neuropsychological or psychophysical tests and ammonia, and to develop a model (AMMON-OHE) to stratify the risk of subsequent OHE development in outpatients with cirrhosis.

METHODS: This observational, prospective study included 426 outpatients without previous OHE from three liver units followed for a median of 2.5 years. Psychometric hepatic encephalopathy score (PHES) <-4 or critical flicker frequency (CFF) <39 was considered abnormal. Ammonia was normalized to upper limit of normal (AMM-ULN) at the respective reference laboratory. Multivariable frailty competing risk and random survival forest analyses were performed to predict future OHE and to develop the AMMON-OHE model. External validation was carried out using 267 and 381 patients from two independent units.

RESULTS: Significant differences were found in time-to-OHE (log-rank p <0.001) according to PHES or CFF and ammonia, with the highest risk in patients with abnormal PHES plus high AMM-ULN (hazard ratio 4.4; 95% CI 2.4-8.1; p <0.001 compared with normal PHES and AMM-ULN). On multivariable analysis, AMM-ULN but not PHES or CFF was an independent predictor of the development of OHE (hazard ratio 1.4; 95% CI 1.1-1.9; p = 0.015). The AMMON-OHE model (sex, diabetes, albumin, creatinine and AMM-ULN) showed a C-index of 0.844 and 0.728 for the prediction of a first episode of OHE in two external validation cohorts.

CONCLUSIONS: In this study, we developed and validated the AMMON-OHE model, comprising readily available clinical and biochemical variables that can be used to identify outpatients at the highest risk of developing a first episode of OHE.

IMPACT AND IMPLICATIONS: In this study, we aimed to develop a model to predict which patients with cirrhosis are at risk of developing overt hepatic encephalopathy (OHE). Using data from three units and including 426 outpatients with cirrhosis, we developed the AMMON-OHE model - comprising sex, diabetes, albumin, creatinine and ammonia levels - which demonstrated good predictive ability. The AMMON-OHE model performs better than PHES and CFF to predict the first episode of OHE in outpatients with cirrhosis. This model was validated in 267 and 381 patients from two independent liver units. The AMMON-OHE model is available online for clinical use.

Errataetall:

CommentIn: J Hepatol. 2023 Dec;79(6):e238-e239. - PMID 37516201

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:79

Enthalten in:

Journal of hepatology - 79(2023), 4 vom: 13. Okt., Seite 967-976

Sprache:

Englisch

Beteiligte Personen:

Ballester, Maria Pilar [VerfasserIn]
Tranah, Thomas H [VerfasserIn]
Balcar, Lorenz [VerfasserIn]
Fiorillo, Alessandra [VerfasserIn]
Ampuero, Javier [VerfasserIn]
Kerbert, Annarein J C [VerfasserIn]
Thomsen, Karen L [VerfasserIn]
Escudero, María Desamparados [VerfasserIn]
Mandorfer, Mattias [VerfasserIn]
Reiberger, Thomas [VerfasserIn]
Shawcross, Debbie L [VerfasserIn]
Romero-Gómez, Manuel [VerfasserIn]
Montoliu, Carmina [VerfasserIn]
Carbonell-Asins, Juan Antonio [VerfasserIn]
Jalan, Rajiv [VerfasserIn]

Links:

Volltext

Themen:

7664-41-7
AYI8EX34EU
Ammonia
Cirrhosis
Creatinine
Critical flicker frequency
Journal Article
Observational Study
Overt hepatic encephalopathy
Psychometric hepatic encephalopathy score
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 18.09.2023

Date Revised 04.01.2024

published: Print-Electronic

CommentIn: J Hepatol. 2023 Dec;79(6):e238-e239. - PMID 37516201

Citation Status MEDLINE

doi:

10.1016/j.jhep.2023.05.022

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM357790294