Prediction models for mechanical ventilation and outcome in Guillain-Barré syndrome
•All the three models have comparable predictive values for MV.•Outcome prediction is the best with EGRIS.•There are 3 prediction models EGRIS, Sharshar score and SBC at 2 Hz for mechanical ventilation. Various prediction models have been formulated to predict the need for mechanical ventilation (MV...
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Veröffentlicht in: | Journal of clinical neuroscience 2021-10, Vol.92, p.131-135 |
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Sprache: | eng |
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Zusammenfassung: | •All the three models have comparable predictive values for MV.•Outcome prediction is the best with EGRIS.•There are 3 prediction models EGRIS, Sharshar score and SBC at 2 Hz for mechanical ventilation.
Various prediction models have been formulated to predict the need for mechanical ventilation (MV). In this study, we compare the sensitivity and specificity of Erasmus GBS Respiratory Insufficiency Score (EGRIS) and Sharshar score with single breath count (SBC) at 2 Hz to assess their usefulness in predicting MV and functional outcome. The primary outcome was prediction of MV and relative usefulness of all three models based on sensitivity and specificity. The secondary outcome was functional recovery at 6 months using the cut off points for MV and functional outcome at 6months was assessed using Hughes scale and categorized as good ( |
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ISSN: | 0967-5868 1532-2653 |
DOI: | 10.1016/j.jocn.2021.07.060 |