» Articles » PMID: 31001904

The Utility of Guillain-Barré Syndrome Prognostic Models in Malaysian Patients

Overview
Publisher Wiley
Specialty Neurology
Date 2019 Apr 20
PMID 31001904
Citations 12
Authors
Affiliations
Soon will be listed here.
Abstract

Guillain-Barré syndrome (GBS) is an acute immune-mediated neuropathy that has variable disease course and outcome. The Erasmus GBS outcome score (EGOS), modified EGOS (mEGOS), and Erasmus GBS respiratory insufficiency score (EGRIS) are prognostic models designed to predict the functional outcome of GBS patients at 6 months (EGOS and mEGOS) and the need for mechanical ventilation within a week of admission (EGRIS). The models were primarily developed in the Dutch GBS population, and thus the usefulness of these models in other GBS cohorts is less clear. In the current study, we aimed to validate mEGOS, EGOS, and EGRIS in Malaysian GBS patients. A total of 107 patients with GBS and its variants were consecutively recruited. Patients with GBS and Miller Fisher syndrome (MFS) were analysed separately. In the GBS cohort, high mEGOS and EGOS scores were significantly correlated with poor outcome at 6 months (mEGOS on admission: r = .381, P = .005; mEGOS at day 7 of admission: r = .507, P < .001; EGOS: r = .484, P < .001). However, there were no significant correlations between mEGOS or EGOS and outcome in patients with MFS (mEGOS on admission: r = .152, P = .523; mEGOS at day 7 of admission: r = .008, P = .973; EGOS: r = .110; P = .644). The score of EGRIS for GBS patients with mechanical ventilation was significantly higher than those patients without mechanical ventilation (4 ± 2 vs 3 ± 1; P < .001). We conclude that mEGOS and EGOS are clinically useful and relevant to the Malaysian GBS population but not in patients with classic MFS. EGRIS could be used to predict the need for mechanical ventilation in our local GBS patients.

Citing Articles

Long-term outcomes of patients affected by Guillain-Barré syndrome in Colombia after the Zika virus epidemic.

Acero-Garces D, Zuluaga-Lotero D, Ortiz-Munoz D, Arango G, Moyano M, Vargas-Manotas J J Neurol Sci. 2024; 463:123140.

PMID: 39047509 PMC: 11338696. DOI: 10.1016/j.jns.2024.123140.


Prediction of mechanical ventilation in Guillain-Barré syndrome at admission: Construction of a nomogram and comparison with the EGRIS model.

Song Y, Liu S, Qiu W, Liu K, Zhang H Heliyon. 2024; 10(9):e30524.

PMID: 38726122 PMC: 11079316. DOI: 10.1016/j.heliyon.2024.e30524.


Construction and evaluation of a prognostic prediction model based on the mEGOS score for patients with Guillain-Barré syndrome.

Xue G, Zhang Y, Wang R, Yang Y, Wang H, Li J Front Neurol. 2023; 14:1303243.

PMID: 38099064 PMC: 10720072. DOI: 10.3389/fneur.2023.1303243.


Predicting of Mechanical Ventilation and Outcomes by Using Models and Biomarker in Guillain-Barré Syndrome.

Yao J, Zhou R, Liu Y, Liu Y, Cao Q, Lu Z Neurol Ther. 2023; 12(6):2121-2132.

PMID: 37792219 PMC: 10630181. DOI: 10.1007/s40120-023-00546-w.


Guidelines for Neuroprognostication in Adults with Guillain-Barré Syndrome.

Busl K, Fried H, Muehlschlegel S, Wartenberg K, Rajajee V, Alexander S Neurocrit Care. 2023; 38(3):564-583.

PMID: 36964442 PMC: 10241707. DOI: 10.1007/s12028-023-01707-3.