Articles: mechanical-ventilation.
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Little is known about the incidence of and risk factors for adverse effects from endotracheal suctioning. We studied the incidence and risk factors, and evaluated the effect of suctioning practice guidelines. ⋯ Endotracheal suctioning frequently induces adverse effects. Technique, suctioning frequency, and higher PEEP are risk factors for complications. Their incidence can be reduced by the implementation of suctioning guidelines.
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To evaluate the relationship between plasma N-terminal prohormone B-type natriuretic peptide (NT-proBNP) and weaning outcomes, and the ability of NT-proBNP level to predict weaning success, in cancer patients with pulmonary complications undergoing noncardiac major surgeries. ⋯ Measuring NT-proBNP at the end of a spontaneous breathing trial may assist in predicting weaning success, as a noninvasive, quantitative and repeatable indicator of cardiac stress in patients with postsurgical respiratory failure.
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Enfermería intensiva · Oct 2013
Observational Study[Evolution in muscle strength in critical patients with invasive mechanical ventilation].
To assess the evolution of muscle strength in critically ill patients with mechanical ventilation (MV) from withdrawal of sedatives to hospital discharge. ⋯ The greatest muscle strength gain after withdrawing of the sedatives was achieved in the first week. Muscle strength loss was associated with a cardiovascular SOFA > 2 and costicosteroids. Patients with a MRC < 48 required more days with MV and a longer ICU stay.
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Enfermería intensiva · Oct 2013
Observational Study[Pain behaviour indicator scale (ESCID) application in severe non-communicative trauma patients receiving mechanical ventilation].
To assess pain in non-communicative patients with severe trauma undergoing mechanical ventilation prior to, during and after tracheal suctioning, mobilization and wound care. ⋯ An increase on the ESCID score was observed while performing the procedures.
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A computerized decision support system is described to predict the changes in the cerebral blood flow (CBF) of mechanically ventilated infants in response to different ventilatory settings. A CBF controller was developed and combined with a mathematical model of the infant's respiratory system to simulate the effects of ventilatory settings on the infant's CBF. ⋯ These included the results obtained under conditions of hypoventilation, hyperventilation, hypoxia, and hyperoxia. The presented decision support system has the potential to be used as an aide to the intensivist in choosing appropriate ventilation treatments for infants to prevent the untoward consequences of hazardous changes in CBF in mechanically ventilated infants such as hypoxic-ischemic brain injuries.