Predonation Variables Used to Assess the Probability of a Successful Blood Donation. Revision.

Abstract

The use of logistic regression analysis was attempted in a population of 425 blood donors, who had a reaction rate of 5%, to evaluate predonation variables, to prioritize them, and to develop a tool capable of predicting the effect of phlebotomy on the donor. Anxiety, post-prandial state, age of donor, and previous donation experience, in descending order of priority, were the best of nine pre-donation factors to explain whether or not a donation could be obtained without adverse effects. A study of predictive capability of a mathematical regression model derived from these variables showed a test sensitivity of 55 to 86% and test specificity of 92 to 98% depending on the preselected probability for successful donation. The model was used, prospectively, in another population of donors (N=121) to see if similar sensitivity and specificity results could be obtained and to predict those donors who react and those who do not. The identification of reactors and non-reactors was as expected from the initial model (two of three reactors were correctly identified). Attempts to use the model for high-risk high school donors were not successful because a large number of these donors had a high probability of being reactors.

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1984
Accession Number
ADA150360

Entities

People

  • E. L. Eakins
  • M. C. Lyons
  • R. B. Bolin
  • V. L. Gildengorin

Organizations

  • Letterman Army Hospital

Tags

DTIC Thesaurus Topics

  • Blood Donors
  • Data Science
  • Identification
  • Information Science
  • Mathematics
  • Probability
  • Regression Analysis
  • Sensitivity
  • Tissue Donors

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