Literature DB >> 33388562

The use of automated pupillometry in critically ill cirrhotic patients with hepatic encephalopathy.

Marco Menozzi1, Juliette Gosse1, Marta Talamonti1, Eugenio Di Bernardini1, Armin Quispe Cornejo1, Thierry Gustot2, Jacques Creteur1, Lorenzo Peluso3, Fabio Silvio Taccone1.   

Abstract

PURPOSE: To evaluate whether pupillary abnormalities would correlate with the severity of encephalopathy in critically ill cirrhotic patients.
METHODS: In this retrospective study, we enrolled adult cirrhotic patients admitted to the Intensive Care Unit undergoing automated pupillometry assessment within the first 72 h since ICU admission. Encephalopathy was assessed with West-Haven classification and Glasgow Coma Scale. Pupillometry-derived variables were also correlated with biological variables, including ammonium, renal function or inflammatory parameters, measured on the day of pupillary assessment.
RESULTS: A total of 62 critically ill cirrhotic patients (Age 61 [52-68] years; 69% male) were included. Median GCS and West-Haven classification were 14 [11-15] and 1 [0-3], respectively. There was a significant although weak correlation between GCS and constriction velocity (CV; R2 = 0.1; p = 0.017). We observed significant differences in CV and DV values among different levels of West-Haven classification. When only patients with encephalopathy (n = 42) or severe HE (n = 18) were considered, a weak correlation between GCS and worst CV was observed. When patients receiving sedatives or opioids were excluded, no significant correlation between pupillometry and clinical variables was observed.
CONCLUSIONS: Pupillary function assessed by the automated pupillometry was poorly associated with encephalopathy scales in cirrhotic patients.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  Ammonium; Cirrhosis; Coma; Intensive care; Pupillometer

Year:  2020        PMID: 33388562     DOI: 10.1016/j.jcrc.2020.12.013

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  1 in total

1.  Automated Pupillometry for Prediction of Electroencephalographic Reactivity in Critically Ill Patients: A Prospective Cohort Study.

Authors:  Lorenzo Peluso; Lorenzo Ferlini; Marta Talamonti; Narcisse Ndieugnou Djangang; Elisa Gouvea Bogossian; Marco Menozzi; Filippo Annoni; Elisabetta Macchini; Benjamin Legros; Paolo Severgnini; Jacques Creteur; Mauro Oddo; Jean-Louis Vincent; Nicolas Gaspard; Fabio Silvio Taccone
Journal:  Front Neurol       Date:  2022-03-21       Impact factor: 4.003

  1 in total

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