Influence of Large Volume Phlebotomy on Compensatory Tracking Performance in Rhesus Monkeys.

Abstract

In the biomedical research community, veterinarians charged with the clinical care of nonhuman primates occasionally are called upon to make judgments on the issue of blood volumes, blood sampling criteria, and the effects of phlebotomy on research results. The clinician must balance on a fine line when allowing investigators to perform either frequent small volume phlebotomies, or single large volume phlebotomies. Some large primate colonies allow 10 m1/kg of whole blood to be removed as single withdrawals no more often than once per month, while other institutional policies dictate smaller volumes and less frequent sampling intervals. Since it has already been proven that rhesus monkeys survive single, large volume phlebotomies without adverse effects, a study was designed to determine the effects of such large volume phlebotomy on the performance of a demanding sensorimotor task. This task, the Primate Equilibrium Platform (PEP), is sensitive to changes in central nervous system sensorimotor integration, but does not necessarily involve complex cognitive functions. It was found that PEP was unaffected after single, large volume (10 m1/kg) phlebotomy in rhesus monkeys.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1996
Accession Number
ADA305828

Entities

People

  • Dennis W. Blick
  • Frank R. Weathersby
  • G. C. Brown
  • John W. Fanton
  • Michael Cook

Organizations

  • Armstrong Laboratory

Tags

DTIC Thesaurus Topics

  • Air Force
  • Animals
  • Blood Donors
  • Blood Transfusions
  • Blood Volume
  • Central Nervous System
  • Chemical Warfare
  • Environmental Health
  • Governments
  • Laboratory Animals
  • Monkeys
  • Nervous System
  • Platforms
  • Primates
  • Rhesus Monkeys
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Biology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Economics
  • Mathematics or Statistics

Technology Areas

  • Biotechnology