alexa Predictive Value Of End-tidal CO2, Lung Mechanics And Other Standard Parameters For Weaning Neurological Patients From Mechanical Ventilation
ISSN: 2167-0870

Journal of Clinical Trials
Open Access

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8th Global Pharmacovigilance & Drug Safety Summit
JULY 06-07, 2017 KUALA LUMPUR, MALAYSIA

Hala A Mohammad and Wegdan A Ali
Minia University, Egypt
Posters & Accepted Abstracts: J Clin Trial
DOI: 10.4172/2167-0870-C1-017
Abstract
Background: Neurologic related respiratory failure from severe central nervous system dysfunction is one of the most frequent reasons for initiating mechanical ventilation. The present study aimed to determine the value of EndTidal CO2 and lung mechanics as predictors of extubation failure in different neurological patients who were putting on mechanical ventilation. Methods: 32 critically ill neurological patients were admitted to the general ICU with acute respiratory failure due to variable neurological insults including acute stroke, drug abuse, toxins, and C4 lesion. The patients were assessed for the following outcomes measures: Lung mechanics (compliance, airway resistance and MIP), ETCO2, and the other standard weaning success indices including; PaO2/FiO2, pH, and rapid shallow breathing index (RSBI) (respiratory rate/tidal volume) at subsequent times: Initially on the beginning of using MV, and finally before extubation. Results: Successfully weaned patients represented 56.2% (n=18) of all patients included in this study. They had a significantly lower MV duration (3.75±1.8 days) and had a significantly higher Glasgow Coma Scale (13.16±1.29) than the failed weaning group. Logistic regression analysis showed a significant association between failure of weaning and each of age, MV duration, Glasgow Coma Scale <13(GCS), ETCO2 621.1 and MIP≥16. Conclusion: We concluded that measurements of RSBI, MIP (maximum inspiratory pressure), EndTidal CO2 and dynamic compliance were more accurate predictors of extubation failure in patients with neurological insults than other standard weaning parameters.
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