Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2011-3-15
pubmed:abstractText
Conventional triage algorithms assume unlimited medical resource availability. After a nuclear detonation, medical resources are likely to be particularly limited, suggesting that conventional triage algorithms need to be rethought. To test various hypotheses related to the prioritization of victims in this setting, we developed the model of resource- and time-based triage (MORTT). This model uses information on time to death, probability of survival if treated and if untreated, and time to treat various types of traumatic injuries in an agent-based model in which the time of medical practitioners or materials can be limited. In this embodiment, MORTT focuses solely on triage for surgical procedures in the first 48 hours after a nuclear detonation. MORTT determines the impact on survival based on user-selected prioritization of victims by severity or type of injury. Using MORTT, we found that in poorly resourced settings, prioritizing victims with moderate life-threatening injuries over victims with severe life-threatening injuries saves more lives and reduces demand for intensive care, which is likely to outstrip local and national capacity. Furthermore, more lives would be saved if victims with combined injury (ie, trauma plus radiation >2 Gy) are prioritized after nonirradiated victims with similar trauma.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1938-744X
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
5 Suppl 1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S98-110
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Using the model of resource and time-based triage (MORTT) to guide scarce resource allocation in the aftermath of a nuclear detonation.
pubmed:affiliation
Gryphon Scientific, Takoma Park, MD 20912, USA. rocco@gryphonscientific.com
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.