Minerva anestesiologica
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Minerva anestesiologica · Oct 2012
ReviewInterfaces for noninvasive mechanical ventilation: technical aspects and efficiency.
Noninvasive mechanical ventilation (NIV) has become a standard of care in select patients with both hypercapnic and non-hypercapnic acute respiratory failure (ARF). Consequent to the increasing use of NIV, new interfaces of different designs, shapes, sizes, and materials have been proposed for clinical use in recent years. The aim of this report is to examine the most relevant physiological aspects related to the choice of interface with particular emphasis on the problems related to dead space and air leaks that may affect the synchrony between the patient and the machine, ultimately determining the patient's compliance and therefore NIV success.
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Minerva anestesiologica · Oct 2012
ReviewRecent advances in interfaces for non-invasive ventilation: from bench studies to practical issues.
The interface is the defining element of non-invasive ventilation (NIV). Nowadays different types of interfaces, which differ in terms of shape, mechanical properties and comfort, are available, and their choice and fitting is a key element of NIV success. In the last decade, larger masks covering the entire face and specifically designed helmets have been developed for delivering NIV, theoretically improving comfort and patient tolerance. ⋯ Thus, with the exception of the nasal mask and the mouthpiece, a variety of interfaces for NIV can be used in the acute care setting. However, prevention and monitoring of interfaces related side-effects and evaluation of patient tolerance are crucial to avoid NIV failure. To optimize effectiveness and costs, an interface strategy for NIV in acute respiratory failure could be convenient in clinical practice.
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Minerva anestesiologica · Oct 2012
Editorial CommentAirway management: have we really planned it all?
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Minerva anestesiologica · Oct 2012
ReviewWhat's new in the "Berlin" definition of acute respiratory distress syndrome?
A valid operative definition for ARDS is essential for the appropriate institution of a standardized 'best-evidence' treatment and for the identification of subgroups of patients who may benefit from specific adjunctive interventions, as well as to assist with prognostication, resource allocation and the design of new research trials. Here, we will discuss some of the methodology used by the ARDS Definition Task Force to develop the new 'Berlin' definition of ARDS, briefly discussing the rationale for the divergence from the AECC definition. The Berlin definition improves on the predictive validity for mortality of the American-European Consensus Conference's (AECC) definition and clarifies both the conceptual model of ARDS and the definition criteria of the syndrome and of its spectrum of severity. This should facilitate case recognition and more consistent treatment strategies based on severity.
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Minerva anestesiologica · Oct 2012
Comparative StudyThe sensibility and specificity of cerebral oximetry, measured by INVOS - 4100, in patients undergoing carotid endarterectomy compared with awake testing.
Selective shunting during carotid endarterectomy (CEA) is advocated to reduce shunt-related stroke. Cerebral monitoring is essential for temporary carotid shunting. Many techniques are available for cerebral monitoring; however, none is superior to monitoring the patient's neurological status (awake testing) while performing the procedure under local anesthesia (LA). Cerebral oximetry (CO) has previously been used to show the adequacy of cerebral circulation in patients undergoing CEA. This investigation was designed to compare the performance of the INVOS-4100 cerebral oximeter and the neurologic functions, by means of detecting cerebral ischemia induced by carotid cross-clamping, in patients undergoing CEA under LA, namely cervical plexus block. ⋯ The results of this study suggest that the usefulness of CO in predicting cerebral ischemia is modest. Cerebral monitoring with INVOS-4100 has a high negative predictive value, but the positive predictive value is low.