A Predictive Model for Respiratory Failure and Determining the Risk Factors of Prolonged Mechanical Ventilation in Children with Guillain-Barre Syndrome

A Predictive Model for Respiratory Failure and Determining the Risk Factors of Prolonged Mechanical Ventilation in Children with Guillain-Barre Syndrome


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نویسندگان: محمد برزگر , وحیده توپچی زاده تبریزیان , دینا گلعلی زاده , علی پیرانی , فاطمه جهانجو

کلمات کلیدی: Guillain-Barre syndrome, predictors, respiratory failure, children, mechanical ventilation

نشریه: 16536 , 3 , 14 , 2020

اطلاعات کلی مقاله
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نویسنده ثبت کننده مقاله وحیده توپچی زاده تبریزیان
مرحله جاری مقاله تایید نهایی
دانشکده/مرکز مربوطه طب فیزیکی وتوانبخشی
کد مقاله 72750
عنوان فارسی مقاله A Predictive Model for Respiratory Failure and Determining the Risk Factors of Prolonged Mechanical Ventilation in Children with Guillain-Barre Syndrome
عنوان لاتین مقاله A Predictive Model for Respiratory Failure and Determining the Risk Factors of Prolonged Mechanical Ventilation in Children with Guillain-Barre Syndrome
ناشر 5
آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ بلی
عنوان نشریه (خارج از لیست فوق)
نوع مقاله Original Article
نحوه ایندکس شدن مقاله ایندکس شده سطح یک – ISI - Web of Science
آدرس لینک مقاله/ همایش در شبکه اینترنت

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Objective 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.

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نویسنده نفر چندم مقاله
محمد برزگراول
وحیده توپچی زاده تبریزیاندوم
دینا گلعلی زادهسوم
علی پیرانیچهارم
فاطمه جهانجوپنجم

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22936-123246-1-PB.pdf1399/04/11379063دانلود