Administration/Outcomes
Simple bedside predictors of mechanical ventilation in patients with Guillain-Barre syndrome

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Abstract

Objective

The objective of the study is to develop and validate a predictor score for assessing the requirement of mechanical ventilation (MV) in patients with Guillain-Barre syndrome (GBS).

Study design

The study was conducted in patients admitted with GBS in neurointensive care unit in a tertiary care hospital. The demographic, clinical factors, electrophysiological, and spirometric data of all consecutive patients were prospectively collected. The study was undertaken in 2 stages. In the first stage, data were collected for development of a predictor score. In the second stage, the score developed was validated on a separate set of patient data.

Results

The data collected were compared between the 2 groups (ventilated vs nonventilated). On univariate analysis, time taken to reach maximum deficit, neck weakness, bulbar weakness, facial weakness, single breath count (SBC), forced vital capacity, and phrenic nerve latency predicted the need for MV. On multivariate analysis, only neck weakness, bulbar weakness, SBC, and forced vital capacity were independent predictors of MV. There was a good correlation between SBC and the spirometric tests and phrenic nerve distal motor latency, as reflected in receiver operating characteristics curve. The predictor score developed using the regression coefficient of independent predictors showed that the best cutoff score for prediction of ventilation was 60 (sensitivity, 0.95; 1 – specificity, 0.065). Internal cross validation of the neck weakness, SBC, and bulbar palsy (NSB) score showed good correlation (Pearson R = 0.76; P = .00). There was no statistically significant difference between predicted and observed outcomes (sensitivity, 95%; specificity, 93%).

Conclusion

Several independent risk factors were found to predict the requirement for MV in patients with GBS at admission. However, after scoring and analyzing them, it was found that combining a few of them was more useful to predict the need for MV. A model using NSB score, developed using clinical variables, accurately predicted the requirement of MV. In addition, among the NSB score parameters, simple bedside SBC could adequately assess the adequacy of vital capacity.

Introduction

Respiratory failure requiring mechanical ventilation (MV) is the most common and serious complication of Guillain-Barre syndrome (GBS) [1], [2], [3]. The reported incidence of patients developing respiratory failure ranges from 20% to 30% [1], [4], [5], [6]. Clinical parameters such as rapid disease progression, bulbar dysfunction, bifacial weakness, neck weakness, proximal weakness in upper limbs and autonomic instability predict the future need for MV in GBS. However, clinical parameters alone may not accurately predict the need for MV in these patients. Studies have shown that forced vital capacity (FVC) less than 20 mL/kg predicted the need for MV in these patients [5], [6], [7]. The results of the studies regarding phrenic nerve electrophysiological testing in anticipating respiratory failure have been inconsistent. A retrospective study showed that reduced amplitude of phrenic nerve compound motor action potential (CMAP) correlated with reduction in vital capacity and subsequent need for MV [8], [9]. In another study, no such correlation was found [10]. Thus, it would be useful to combine the clinical neurologic predictors with the respiratory parameters to accurately predict the same. In addition, a published report stressed upon single breath count (SBC) as a simple bedside measure of vital capacity to assess the respiratory reserve in patients with neuromuscular paralysis [11]. Such bed side tools would be useful in GBS as it may not be feasible to perform all clinical investigations repeatedly and at all locations.

This prompted the authors to prospectively study potential associations of clinical, phrenic nerve electrophysiology, respiratory test findings (FVC) with subsequent need for MV and to develop a simple bedside predictor score and validate this in patients with GBS. This would help to triage the patients to appropriate level of care and facilitate early intervention and prevent consequences such as aspiration, chest infection, and respiratory failure.

Section snippets

Methods

This was a prospective institutional observational study. The study was conducted after institutional ethics committee's approval. The study was conducted in a tertiary care hospital in South India on patients with a clinical diagnosis of GBS. Diagnosis of GBS was based on clinical and electrophysiological criteria [12]. The study was undertaken in 2 stages. In the first stage, data were collected for development of a predictor score (study period was from July 2007 to December 2008). In the

Statistical analysis

Statistical analysis was performed using SPSS version 13.0 (SPSS, Inc, Chicago, Ill). Data were expressed as mean and SD or as proportions (percentage). Correlation between SBC, spirometric tests (FVC, FEV1, and FEV25-75), and phrenic nerve distal motor latency (DML) was performed using Pearson correlation. The data were divided into 2 groups—patients requiring MV (Group MV) and not requiring ventilation (Group NV). Comparison of categorical data between the 2 groups was performed using χ2 test

Demographic profile

Sixty-eight patients were admitted with a diagnosis of GBS between July 2007 and December 2008. The demographic and clinical characteristics at admission of 68 consecutive adult patients are shown in Table 1. The comparison of demographic and clinical features, pulmonary function tests, and electrophysiological studies of phrenic nerve between the 2 groups is shown in Table 2.

Neurologic examination

Of 68 patients, 27 patients had demyelinating type of nerve conduction studies, 30 patients had axonal type of Nerve

Discussion

Early prediction of decline in respiratory function and progression to MV is important in GBS. Studies have shown that early anticipation and intervention have reduced the risk of complications and improved outcome [13], [14]. The incidence of MV in this series was 18%, which is consistent with the previous studies. Presence of bifacial weakness, bulbar palsy, neck weakness, autonomic dysfunction, SBC, and latency of phrenic nerve CMAP were associated with need for MV on univariate analysis.

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    Among those studies, predictors of requiring MV in GBS have been divided into clinical, electrophysiological, and biological factors.6,7 With regard to clinical predictors, disability grade on admission,8 rapid progressive motor weakness,9 bilateral facial weakness,9 bulbar dysfunction,9 dysautonomia,10 and a rapid decrease in vital capacity10,11 have all been identified as risk factors. For electrophysiological factors, nerve conduction block12 and demyelinating form12 have been reported.

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