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Text
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Backlog
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<a href="http://doi.org/10.1097/CCM.0b013e3181cbaff4" target="_blank" rel="noreferrer">http://doi.org/10.1097/CCM.0b013e3181cbaff4</a>
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Clinical research ethics for critically ill patients: a pandemic proposal
Publisher
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Critical Care Medicine
Date
A point or period of time associated with an event in the lifecycle of the resource
2010
Subject
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Humans; Critical Illness; Research; Informed Consent; Disease Outbreaks; Ethics; Ethics Committees; Human; H1N1 Subtype; Influenza; Influenza A Virus
Creator
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Cook D; Burns K; Finfer S; Kissoon N; Bhagwanjee S; Annane D; Sprung CL; Fowler R; Latronico N; Marshall J
Description
An account of the resource
Pandemic H1N1 influenza is projected to be unprecedented in its scope, causing acute critical illness among thousands of young otherwise healthy adults, who will need advanced life support. Rigorous, relevant, timely, and ethical clinical and health services research is crucial to improve their care and outcomes. Studies designed and conducted during a pandemic should be held to the same high methodologic and implementation standards as during other times. However, unique challenges arise with the need to conduct investigations as efficiently as possible, focused on the optimal outcome for the individual patient, while balancing the need for maximal societal benefit. We believe that clinical critical care research during a pandemic must be approached differently from research undertaken under nonemergent circumstances. We propose recommendations to clinical investigators and research ethics committees regarding clinical and health services research on pandemic-related critical illness. We also propose strategies such as expedited and centralized research ethics committee reviews and alternate consent models.
2010
Identifier
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<a href="http://doi.org/10.1097/CCM.0b013e3181cbaff4" target="_blank" rel="noreferrer">10.1097/CCM.0b013e3181cbaff4</a>
Rights
Information about rights held in and over the resource
Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).
Type
The nature or genre of the resource
Journal Article
2010
Annane D
Backlog
Bhagwanjee S
Burns K
Cook D
Critical Care Medicine
Critical Illness
Disease Outbreaks
Ethics
Ethics Committees
Finfer S
Fowler R
H1N1 Subtype
Human
Humans
Influenza
Influenza A Virus
Informed Consent
Journal Article
Kissoon N
Latronico N
Marshall J
Research
Sprung CL
-
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
Citation List Month
September 2016 List
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Pediatric Triage In A Severe Pandemic: Maximizing Survival By Establishing Triage Thresholds
Publisher
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Critical Care Medicine
Date
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2016
Subject
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Recommendations; Disaster; Allocation; Mass Critical-care; Pandemic; Pediatric Critical Care; Influenza; Critical Care Medicine; Predictors; Triage
Creator
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Gall C; Wetzel R; Kolker A; Kanter RK; Toltzis P
Description
An account of the resource
Abstract
OBJECTIVES:
To develop and validate an algorithm to guide selection of patients for pediatric critical care admission during a severe pandemic when Crisis Standards of Care are implemented.
DESIGN:
Retrospective observational study using secondary data.
PATIENTS:
Children admitted to VPS-participating PICUs between 2009-2012.
INTERVENTIONS:
A total of 111,174 randomly selected nonelective cases from the Virtual PICU Systems database were used to estimate each patient's probability of death and duration of ventilation employing previously derived predictive equations. Using real and projected statistics for the State of Ohio as an example, triage thresholds were established for casualty volumes ranging from 5,000 to 10,000 for a modeled pandemic with peak duration of 6 weeks and 280 pediatric intensive care beds. The goal was to simultaneously maximize casualty survival and bed occupancy. Discrete Event Simulation was used to determine triage thresholds for probability of death and duration of ventilation as a function of casualty volume and the total number of available beds. Simulation was employed to compare survival between the proposed triage algorithm and a first come first served distribution of scarce resources.
MEASUREMENTS AND MAIN RESULTS:
Population survival was greater using the triage thresholds compared with a first come first served strategy. In this model, for five, six, seven, eight, and 10 thousand casualties, the triage algorithm increased the number of lives saved by 284, 386, 547, 746, and 1,089, respectively, compared with first come first served (all p < 0.001).
CONCLUSIONS:
Use of triage thresholds based on probability of death and duration of mechanical ventilation determined from actual critically ill children's data demonstrated superior population survival during a simulated overwhelming pandemic.
Identifier
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DOI: 10.1097/CCM.0000000000001759
Rights
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Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).
2016
Allocation
Critical Care Medicine
Disaster
Gall C
Influenza
Kanter RK
Kolker A
Mass Critical-care
Pandemic
Pediatric Critical Care
Predictors
Recommendations
September 2016 List
Toltzis P
Triage
Wetzel R