Toggle Main Menu Toggle Search

Open Access padlockePrints

Predicting Outcome in Guillain-Barré Syndrome International Validation of the Modified Erasmus GBS Outcome Score

Lookup NU author(s): Dr James Miller

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

© 2022 Lippincott Williams and Wilkins. All rights reserved.Background and Objectives The clinical course and outcome of the Guillain-Barré syndrome (GBS) are diverse and vary among regions. The modified Erasmus GBS Outcome Score (mEGOS), developed with data from Dutch patients, is a clinical model that predicts the risk of walking inability in patients with GBS. The study objective was to validate the mEGOS in the International GBS Outcome Study (IGOS) cohort and to improve its performance and region specificity. Methods We used prospective data from the first 1,500 patients included in IGOS, aged ≥6 years and unable to walk independently. We evaluated whether the mEGOS at entry and week 1 could predict the inability to walk unaided at 4 and 26 weeks in the full cohort and in regional subgroups, using 2 measures for model performance: (1) discrimination: area under the receiver operating characteristic curve (AUC) and (2) calibration: observed vs predicted probability of being unable to walk independently. To improve the model predictions, we recalibrated the model containing the overall mEGOS score, without changing the individual predictive factors. Finally, we assessed the predictive ability of the individual factors. Results For validation of mEGOS at entry, 809 patients were eligible (Europe/North America [n = 677], Asia [n = 76], other [n = 56]), and 671 for validation of mEGOS at week 1 (Europe/North America [n = 563], Asia [n = 65], other [n = 43]). AUC values were >0.7 in all regional subgroups. In the Europe/North America subgroup, observed outcomes were worse than predicted; in Asia, observed outcomes were better than predicted. Recalibration improved model accuracy and enabled the development of a region-specific version for Europe/North America (mEGOS-Eu/NA). Similar to the original mEGOS, severe limb weakness and higher age were the predominant predictors of poor outcome in the IGOS cohort. Discussion mEGOS is a validated tool to predict the inability to walk unaided at 4 and 26 weeks in patients with GBS, also in countries outside the Netherlands. We developed a region-specific version of mEGOS for patients from Europe/North America. Classification of Evidence This study provides Class II evidence that the mEGOS accurately predicts the inability to walk unaided at 4 and 26 weeks in patients with GBS.


Publication metadata

Author(s): Doets AY, Lingsma HF, Walgaard C, Islam B, Papri N, Davidson A, Yamagishi Y, Kusunoki S, Dimachkie MM, Waheed W, Kolb N, Islam Z, Mohammad QD, Harbo T, Sindrup SH, Chavada G, Willison HJ, Casasnovas C, Bateman K, Miller JAL, van den Berg B, Verboon C, Roodbol J, Leonhard SE, Benedetti L, Kuwabara S, van den Bergh P, Monges S, Marfia GA, Shahrizaila N, Galassi G, Pereon Y, Burmann J, Kuitwaard K, Kleyweg RP, Marchesoni C, Sedano Tous MJ, Querol L, Illa I, Wang Y, Nobile-Orazio E, Rinaldi S, Schenone A, Pardo J, Vermeij FH, Lehmann HC, Granit V, Cavaletti G, Gutierrez-Gutierrez G, Barroso FA, Visser LH, Katzberg HD, Dardiotis E, Attarian S, van der Kooi AJ, Eftimov F, Wirtz PW, Samijn JPA, Jacobus Gilhuis H, Hadden RDM, Holt JKL, Sheikh KA, Karafiath S, Vytopil M, Antonini G, Feasby TE, Faber CG, Gijsbers CJ, Busby M, Roberts RC, Silvestri NJ, Fazio R, van Dijk GW, Garssen MPJ, Straathof CSM, Gorson KC, Jacobs BC

Publication type: Article

Publication status: Published

Journal: Neurology

Year: 2022

Volume: 98

Issue: 5

Pages: E518-E532

Print publication date: 01/02/2022

Online publication date: 22/12/2021

Acceptance date: 16/11/2021

ISSN (print): 0028-3878

ISSN (electronic): 1526-632X

Publisher: Lippincott Williams and Wilkins

URL: https://doi.org/10.1212/WNL.0000000000013139

DOI: 10.1212/WNL.0000000000013139

PubMed id: 34937789


Altmetrics

Altmetrics provided by Altmetric


Share