Literature DB >> 16898962

Quantitation of red cell-bound IgG by an enzyme-linked antiglobulin test in the patients with warm-type autoimmune haemolytic anaemia.

J Fabijańska-Mitek1, R Pogłod, A Adamowicz-Salach, H Łopieńska.   

Abstract

We have previously reported the evaluation of a gel-direct antiglobulin test and enzyme-linked antiglobulin test (ELAT) in the laboratory diagnosis of autoimmune haemolytic anaemia (AIHA). We now report our experience with quantitative ELAT performed on a large group of patients under long-term observation. The number of IgG molecules/red blood cell was determined in 658 blood samples from 268 randomly selected patients with warm-type AIHA. Eighty-six patients were tested every 2-4 weeks for several months. Laboratory signs of haemolysis were present in 65.7% of blood samples with a small amount of red cell-bound autoantibody (< 200 IgG molecules/red blood cell) and in 70.4% of blood samples with moderately coated red blood cells (200-1000 molecules/red blood cell). Haemolysis was demonstrated in 87.9% samples with > 1000 IgG molecules/red blood cell, which were predominantly IgG3 and C3 complement, the qualitative factors that may increase haemolysis. In 79% of periodically tested patients, the number of IgG autoantibody molecules/red blood cell decreased and this correlated with the improvement of haemolysis parameters. The number of IgG molecules varied in 21% of AIHAs and was associated with poor prognosis.

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Year:  2006        PMID: 16898962     DOI: 10.1111/j.1365-2257.2006.00798.x

Source DB:  PubMed          Journal:  Clin Lab Haematol        ISSN: 0141-9854


  2 in total

1.  Haemoglobin levels in autoimmune haemolytic anaemias at diagnosis: relationship with immunoproteins on red blood cells.

Authors:  Marco Lai; Valerio De Stefano; Raffaele Landolfi
Journal:  Immunol Res       Date:  2014-10       Impact factor: 2.829

2.  Autoimmune hemolytic anemia with gel-based immunohematology tests: neural network analysis.

Authors:  Marco Lai; Valerio De Stefano; Raffaele Landolfi
Journal:  Immunol Res       Date:  2014-01       Impact factor: 2.829

  2 in total

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