Title of article :
A Predictive Model for Respiratory Failure and Determining the Risk Factors of Prolonged Mechanical Ventilation in Children with Guillain-Barre Syndrome
Author/Authors :
BARZEGAR, Mohammad Pediatric Health Research Center - Tabriz University of Medical Sciences, Tabriz, Iran , TOOPCHIZADEH, Vahideh Physical Medicine and Rehabilitation Research Center - Tabriz University of Medical Sciences, Tabriz, Iran , GOLALIZADEH, Diena Physical Medicine and Rehabilitation Research Center - Tabriz University of Medical Sciences, Tabriz, Iran , PIRANI, Ali Physical Medicine and Rehabilitation Research Center - Tabriz University of Medical Sciences, Tabriz, Iran , JAHANJOO, Fatemeh Physical Medicine and Rehabilitation Research Center - Tabriz University of Medical Sciences, Tabriz, Iran
Pages :
14
From page :
33
To page :
46
Abstract :
Determining the predictors of respiratory failure and duration of intubation in children with Guillain-Barre syndrome (GBS). Materials & Methods Children diagnosed with GBS at Tabriz Children’s Hospital were studied. Factors associated with and influencing respiratory failure as well as the duration of intubation were determined using both univariate and multiple analyses. Results Overall, 324 children were enrolled in the study, 54.0% of whom were males. Thirty-one (9.6%) patients underwent mechanical ventilation, the patients under 5 years old were more prone to the requirement of mechanical ventilation (11.3% vs. 6.9%). Cases hospitalized in winter were more likely to need ventilation compared to those hospitalized in spring (OR =7.00; 95% CI:1.51-32.53). Also, autonomic involvement (OR=8.88, 95% CI:4.03-19.58; p<0.001) and cranial nerves involvement (OR=9.88, 95% CI:3.68 - 26.52; p<0.001) emerged as risk factors for mechanical ventilation requirement. Overall, 16.1% of patients with axonal electrophysiologic pattern required mechanical ventilation compared to 7.4% of those with demyelinating type (OR:2.15, 95% CI: 1.01-4.69). In univariate analysis, the only variable that showed a correlation with the duration of intubation was axonal electrophysiologic pattern (p= 0.028). Conclusion Approximately, 10% of the patients required mechanical ventilation. Season, cranial nerve involvement, autonomic dysfunction and electrophysiologic pattern were the most important variables in predicting respiratory failure and duration of mechanical ventilation.
Keywords :
Guillain-Barre syndrome , predictors , respiratory failure , children , mechanical ventilation
Journal title :
Iranian Journal of Child Neurology (IJCN)
Serial Year :
2020
Record number :
2517354
Link To Document :
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