Predicting Outcome in Guillain-Barré Syndrome
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Published:2021-12-22
Issue:5
Volume:98
Page:e518-e532
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ISSN:0028-3878
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Container-title:Neurology
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language:en
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Short-container-title:Neurology
Author:
Doets Alex Y., Lingsma Hester F., Walgaard Christa, Islam Badrul, Papri Nowshin, Davidson Amy, Yamagishi YukoORCID, Kusunoki Susumu, Dimachkie Mazen M.ORCID, Waheed Waqar, Kolb Noah, Islam Zhahirul, Mohammad Quazi Deen, Harbo Thomas, Sindrup Soren H., Chavada Govindsinh, Willison Hugh J., Casasnovas Carlos, Bateman KathleenORCID, Miller James A.L.ORCID, van den Berg Bianca, Verboon Christine, Roodbol Joyce, Leonhard Sonja E., Benedetti Luana, Kuwabara Satoshi, Van den Bergh Peter, Monges Soledad, Marfia Girolama A., Shahrizaila Nortina, Galassi Giuliana, Péréon Yann, Bürmann Jan, Kuitwaard Krista, Kleyweg Ruud P., Marchesoni Cintia, Sedano Tous María J., Querol LuisORCID, Illa Isabel, Wang Yuzhong, Nobile-Orazio Eduardo, Rinaldi SimonORCID, Schenone AngeloORCID, Pardo Julio, Vermeij Frederique H., Lehmann Helmar C., Granit VolkanORCID, Cavaletti GuidoORCID, Gutiérrez-Gutiérrez GerardoORCID, Barroso Fabio A., Visser Leo H., Katzberg Hans D., Dardiotis EfthimiosORCID, Attarian ShahramORCID, van der Kooi Anneke J., Eftimov Filip, Wirtz Paul W., Samijn Johnny P.A., Gilhuis H. Jacobus, Hadden Robert D.M.ORCID, Holt James K.L., Sheikh Kazim A., Karafiath Summer, Vytopil Michal, Antonini Giovanni, Feasby Thomas E., Faber Catharina G., Gijsbers Cees J., Busby Mark, Roberts Rhys C.ORCID, Silvestri Nicholas J., Fazio Raffaella, van Dijk Gert W., Garssen Marcel P.J., Straathof Chiara S.M., Gorson Kenneth C., Jacobs Bart C.,
Abstract
Background and ObjectivesThe 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.MethodsWe 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.ResultsFor 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.DiscussionmEGOS 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 EvidenceThis study provides Class II evidence that the mEGOS accurately predicts the inability to walk unaided at 4 and 26 weeks in patients with GBS.Trial Registration InformationNCT01582763.
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Neurology (clinical)
Cited by
29 articles.
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