Peer-reviewed veterinary case report
Use of erythrocyte fragility profiles for monitoring immune-mediated haemolysis in horses.
- Journal:
- Research in veterinary science
- Year:
- 1990
- Authors:
- Taylor, F G & Cooke, B J
- Affiliation:
- University of Bristol · United Kingdom
- Species:
- horse
Plain-English summary
This study looked at how the fragility of red blood cells in horses can help monitor a condition called immune-mediated hemolytic anemia, where the immune system mistakenly destroys the horse's own red blood cells. Normally, healthy horses show a specific pattern when their red blood cells are tested in increasingly diluted salt solutions. However, in horses with this condition, the pattern changes significantly, indicating that there are different groups of red blood cells with varying levels of fragility. By analyzing these changes, veterinarians can gather important information about the horse's condition and track its recovery. Overall, this method proved to be useful for diagnosing and predicting the outcome of the disease in affected horses.
Abstract
The fragility of erythrocytes is easily demonstrated by their ability to withstand osmotic swelling and lysis in solutions of increasingly hypotonic saline. In healthy animals a plot of percentage haemolysis against increasing hypotonicity produces a sigmoid curve. Using the same data a derivative curve calculated from haemolytic increments shows a normal distribution of fragility within samples. In enhanced fragility due to immune-mediated haemolytic anaemia, these profiles of haemolysis are markedly altered and the derivative curve becomes multiphasic, indicating the presence of subpopulations of erythrocytes with differing fragility ranges. Analysis of these profiles in a case of intravascular immune-mediated haemolysis in a horse provided useful graphic information for diagnosis and prognosis. In particular, the size of the subpopulation showing increased fragility could be assessed in the acute phase and monitored during recovery.
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Search related cases →Original publication: https://pubmed.ncbi.nlm.nih.gov/2300708/