Development of Empirically Based Time-to-death Curves for Combat Casualty Deaths in Iraq and Afghanistan

Abstract

The United States Department of Defense medical planners need survival-time estimates for anticipated patient streams associated with projected combat scenarios. Survival-time estimates should be grounded in empirical observations. Unfortunately, research in this domain has been limited to a single paper describing the development of died-of-wounds curves for combat casualties with life-threatening injuries. The curves developed from that research were based on a small dataset (n = 160, with 26 deaths and 134 survivors) of forward surgical (Role II) casualties and subject matter experts' judgments. This paper reports the first empirically based time-to-death curves for combat casualties based on a large sample. The results indicate that survival time varied across roles of care at which casualties died but was at most weakly associated with injury severity. Time-to-death curves were, therefore, developed for the overall study population of valid times to death and for Role I, Role II and Role III care. The log-logistic probability distribution provided the best representation of the survival times for the overall study population, while the log-normal distribution was the best choice for Role I, Role II and Role III care. The proposed time-to-death curves should refine the survival-time estimates used in combat medical logistics planning.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2015
Accession Number
ADA621030

Entities

People

  • Edwin D Souza
  • James Zouris
  • Michael R. Galarneau
  • Ross Vickers
  • Vern Wing

Organizations

  • Naval Health Research Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Casualties
  • Combat Injuries
  • Data Mining
  • Department Of Defense
  • Health Services
  • Information Science
  • Logistics
  • Logistics Planning
  • Medical Personnel
  • Military Medicine
  • Normal Distribution
  • Probability
  • Probability Distributions
  • Simulations
  • Statistical Analysis
  • Therapy
  • United States

Readers

  • Regression Analysis.
  • Trauma or Military Medicine