Literature DB >> 3609056

Survival equations for red blood cells with statistical distributions in life spans.

J J de Lima.   

Abstract

The survival equations for labelled RBCs taking into account a hypothetical Gaussian (or binomial) statistical distribution for the life spans, with and without random destruction, have been derived in this paper. The numerical integration of these equations emphasises some particularities which will result from the existence of broad life span distributions. The differences between the results obtained with hypothetical populations of RBCs having statistical distributions for the life spans and hypothetical populations of RBCs with life spans equal to the distributions mean value for every cell are also discussed.

Mesh:

Year:  1987        PMID: 3609056     DOI: 10.1007/bf00256020

Source DB:  PubMed          Journal:  Eur J Nucl Med        ISSN: 0340-6997


  5 in total

1.  The potential life span and ultimate survival of fresh red blood cells in normal healthy recipients as studied by simultaneous Cr51 tagging and differential hemolysis.

Authors:  G S EADIE; I W BROWN
Journal:  J Clin Invest       Date:  1955-04       Impact factor: 14.808

2.  Red blood cell survival studies.

Authors:  G S EADIE; I W BROWN
Journal:  Blood       Date:  1953-12       Impact factor: 22.113

3.  The interpretation of red cell survival curves.

Authors:  A C DORNHORST
Journal:  Blood       Date:  1951-12       Impact factor: 22.113

Review 4.  Red cell survival studies reinterpreted.

Authors:  S A Bentley
Journal:  Clin Haematol       Date:  1977-10

5.  Recommended method for radioisotope red-cell survival studies. International Committee for Standardization in Haematology.

Authors: 
Journal:  Br J Haematol       Date:  1980-08       Impact factor: 6.998

  5 in total
  1 in total

1.  Modeling of red blood cell life-spans in hematologically normal populations.

Authors:  Rocío Lledó-García; Robert M Kalicki; Dominik E Uehlinger; Mats O Karlsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2012-07-31       Impact factor: 2.745

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.