RATIONALE: Predicting length of stay in the intensive care unit (ICU) in children with Guillain-Barre syndrome may help decision-making at admission. MATERIALS AND METHODS: Between 1996 and 2003, we attended to 30 children with Guillain-Barre syndrome who required ventilatory support in ICU. We prospectively collected different variables that could potentially predict prolonged length of stay and ventilatory support in ICU. CONCLUSION: Using Cox proportional hazard analysis we found that lack of electrical excitability was the best predictor.
RATIONALE: Predicting length of stay in the intensive care unit (ICU) in children with Guillain-Barre syndrome may help decision-making at admission. MATERIALS AND METHODS: Between 1996 and 2003, we attended to 30 children with Guillain-Barre syndrome who required ventilatory support in ICU. We prospectively collected different variables that could potentially predict prolonged length of stay and ventilatory support in ICU. CONCLUSION: Using Cox proportional hazard analysis we found that lack of electrical excitability was the best predictor.
Authors: M E Massaro; E C Rodriguez; J Pociecha; H A Arroyo; M Sacolitti; A L Taratuto; N Fejerman; R C Reisin Journal: Neurology Date: 1998-08 Impact factor: 9.910
Authors: D R Cornblath; E D Mellits; J W Griffin; G M McKhann; J W Albers; R G Miller; T E Feasby; S A Quaskey Journal: Ann Neurol Date: 1988-04 Impact factor: 10.422
Authors: María P Mahecha; Ernesto Ojeda; Daniel A Vega; Juan C Sarmiento-Monroy; Juan-Manuel Anaya Journal: Immunol Res Date: 2017-02 Impact factor: 2.829