tailieunhanh - Báo cáo khoa học: "Clinical review: Mass casualty triage – pandemic influenza and critical care"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Clinical review: Mass casualty triage – pandemic influenza and critical care. | Available online http content 11 2 212 Review Clinical review Mass casualty triage - pandemic influenza and critical care Kirsty Challen Andrew Bentley John Bright and Darren Walter University Hospital of South Manchester NHS Foundation Trust Manchester UK Corresponding author Kirsty Challen Published 30 April 2007 This article is online at http content 11 2 212 2007 BioMed Central Ltd Critical Care 2007 11 212 doi cc5732 Abstract Worst case scenarios for pandemic influenza planning in the US involve over 700 000 patients requiring mechanical ventilation. UK planning predicts a 231 occupancy of current level 3 intensive care unit bed capacity. Critical care planners need to recognise that mortality is likely to be high and the risk to healthcare workers significant. Contingency planning should therefore be multifaceted involving a robust health command structure the facility to expand critical care provision in terms of space equipment and staff and cohorting of affected patients in the early stages. It should also be recognised that despite this expansion of critical care demand will exceed supply and a process for triage needs to be developed that is valid reproducible transparent and consistent with distributive justice. We advocate the development and validation of physiological scores for use as a triage tool coupled with candid public discussion of the process. Introduction It is widely accepted that conditions exist for the evolution of a new strain of influenza virus with the potential to cause a human pandemic 1 . The biggest challenge in planning for an influenza pandemic is the range of unknown factors its nature and impact cannot be fully predicted until the pandemic virus actually emerges. Those planning for a pandemic must therefore work from a number of assumptions based on knowledge gained from previous pandemics and scientific modelling of a range of potential scenarios. The UK Pandemic .

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