Hanyu Luo1,2,3,4,5, Siqi Hong1,2,3,4,5, Mei Li1,2,3,4,5, Li Wang1,2,3,4,5, Li Jiang1,2,3,4,5. 1. Department of Neurology, Children's Hospital of Chongqing Medical University, Chongqing, P.R. China. 2. Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, P.R. China. 3. National Clinical Research Center for Child Health and Disorders (Chongqing), Chongqing, P.R. China. 4. China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing, P.R. China. 5. Chongqing Key Laboratory of Pediatrics, Chongqing, P.R. China.
Abstract
BACKGROUND: We assessed clinical predictors of mechanical ventilation in children with Guillain-Barré syndrome (GBS) to help identify patients who require mechanical ventilation. METHODS: We retrospectively collected the clinical, laboratory, and electrophysiological data of 103 children with GBS. Patients were categorized into two groups based on the requirement for mechanical ventilation. Variables that were significantly different between the two groups in univariate analysis were analyzed by multivariate logistic regression models. RESULTS: Time from symptom onset to admission (P = .002), facial or bulbar weakness (P = .001), and axonal type (P = .005) were associated with mechanical ventilation in univariate analysis. In multivariate analysis, facial or bulbar weakness (odds ratio [OR], 7.936; P = .013) and axonal type (OR, 4.582; P = .022) were independent predictors for mechanical ventilation. CONCLUSIONS: Facial or bulbar weakness and axonal type were associated with increased risk for mechanical ventilation in children with GBS.
BACKGROUND: We assessed clinical predictors of mechanical ventilation in children with Guillain-Barré syndrome (GBS) to help identify patients who require mechanical ventilation. METHODS: We retrospectively collected the clinical, laboratory, and electrophysiological data of 103 children with GBS. Patients were categorized into two groups based on the requirement for mechanical ventilation. Variables that were significantly different between the two groups in univariate analysis were analyzed by multivariate logistic regression models. RESULTS: Time from symptom onset to admission (P = .002), facial or bulbar weakness (P = .001), and axonal type (P = .005) were associated with mechanical ventilation in univariate analysis. In multivariate analysis, facial or bulbar weakness (odds ratio [OR], 7.936; P = .013) and axonal type (OR, 4.582; P = .022) were independent predictors for mechanical ventilation. CONCLUSIONS: Facial or bulbar weakness and axonal type were associated with increased risk for mechanical ventilation in children with GBS.