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    Consenso internacional sobre la monitorizaci贸n de la presi贸n tisular cerebral de ox铆geno en pacientes neurocr铆ticos

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    [ES] La monitorizaci贸n continua de la oxigenaci贸n cerebral y su aplicaci贸n al manejo del paciente neurol贸gico grave es uno de los grandes retos actuales de la medicina cr铆tica. Aunque han sido descritas diversas t茅cnicas para la monitorizaci贸n de la oxigenaci贸n cerebral, la monitorizaci贸n tisular cerebral de ox铆geno proporciona una relevante informaci贸n sobre los niveles de ox铆geno a nivel del tejido cerebral. Su desarrollo se ha asociado a la necesidad de responder no solamente aspectos t茅cnicos sobre la misma, sino tambi茅n al significado de la alteraci贸n de los valores de la oxigenaci贸n cerebral en el paciente neurocr铆tico. El documento de consenso da respuesta a diversas cuestiones relativas a la monitorizaci贸n de la oxigenaci贸n cerebral mediante sensor de presi贸n tisular cerebral de ox铆geno. Para ello se elabor贸 un panel de preguntas y se realiz贸 una revisi贸n de la literatura m茅dica, y evaluando la calidad de la evidencia y el nivel de recomendaci贸n mediante la metodolog铆a GRADE.[EN] Continuous monitoring of cerebral oxygenation and its application to the management of the severe neurological patient is a challenge for the management of patients with acute critical brain damage. Although several techniques have been described for monitoring brain, brain tissue oxygen monitoring provides relevant information about oxygen levels of brain tissue. However, the development of this technique has been associated with the need to answer not only some technical aspects of it as well as the meaning of the changes of the cerebral oxygenation in the neurocritical patient. The consensus document responds to various questions related to the monitoring of cerebral oxygenation by means of a cerebral oxygen tissue pressure sensor. For this purpose, a list of questions was prepared and a reviewed of the medical literature was made. The quality of the evidence and the degree of recommendation was evaluated using the GRADE methodology
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