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. 2024 May 9:15:1385945.
doi: 10.3389/fneur.2024.1385945. eCollection 2024.

Clinical predictors for mechanical ventilation assistance in Guillain-Barré syndrome

Affiliations

Clinical predictors for mechanical ventilation assistance in Guillain-Barré syndrome

Axel Abel Rodríguez-Méndez et al. Front Neurol. .

Abstract

Background: Guillain-Barré syndrome (GBS) frequently leads to respiratory failure and autonomic dysfunction, resulting in approximately one-third of patients requiring mechanical ventilation.

Objective: This study aimed to identify clinical predictors for mechanical ventilation in patients with GBS.

Methods: This research was conducted from 2010 to 2021 using registries from a tertiary hospital in an upper middle-income Latin American country. Participants were categorized into two groups based on their ventilation status. Demographic data were collected, and independent predictors of the need for mechanical ventilation were determined through multivariate logistic regression analysis.

Results: Dysautonomic events occurred in 36% of the patients, with 17% requiring mechanical ventilation; the average duration of intubation was 1.16 ± 3.18 days. The multivariate analysis indicated that bulbar dysfunction significantly increased the likelihood of requiring mechanical ventilation by 19-fold (OR 18.67, 95% CI 5.85-59.42), followed by ophthalmoplegia, which increased the likelihood by sixfold (OR 5.68, 95% CI 1.28-25.19).

Conclusion: Bulbar dysfunction, dysautonomia, and lower Medical Research Council (MRC) scores were significant predictors of the need for mechanical ventilation in hospitalized GBS patients. These findings support the need for close monitoring and early admission to the intensive care unit (ICU) admission for at-risk patients.

Keywords: Guillain-Barré syndrome; acute autoimmune polyneuropathy; clinical predictor; mechanical ventilation; respiratory failure.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flow chart of clinical records search. ICD, International Classification of Diseases.
Figure 2
Figure 2
The area under the curve ROC.

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