dc.contributor.author |
Prinsloo, Andrea
|
|
dc.contributor.author |
Nel, Jan Gert
|
|
dc.contributor.author |
Pool, Roger
|
|
dc.date.accessioned |
2018-08-01T12:18:49Z |
|
dc.date.available |
2018-08-01T12:18:49Z |
|
dc.date.issued |
2017-06 |
|
dc.description.abstract |
Flow cytometry is a globally accepted diagnostic tool used for the rapid identification of cells based on their surface and intracellular
antigens, especially for the diagnosis of haematological malignancies. The aim of this study was to evaluate the requests
received for flow cytometric immunophenotyping and to create a profile of diagnoses. In 2014 data regarding indications and
diagnoses were captured from request forms received and final diagnosis reports issued by the Tshwane Academic Division (TAD)
of the National Health Laboratory Service (NHLS). A total of 1234 requests were received over the one year period, of which 80.4%
were performed and 16.8 % were rejected. The most common indications were leukaemia, lymphoma and cytopenia. Nineteen
percent of requests received contained no correct indication or clinical history. In total, 103 and 153 diagnoses were established
based on peripheral blood and bone marrow aspirate specimens respectively. Samples were mostly rejected due to sample clotting,
electronic gate keeping rules and receiving the specimen more than 24 hours after collection. |
en_ZA |
dc.description.department |
Haematology |
en_ZA |
dc.description.librarian |
am2018 |
en_ZA |
dc.description.uri |
http://www.smltsa.org.za/publications.html |
en_ZA |
dc.identifier.citation |
Prinsloo, A., Nel, J. & Pool, R. 2017, 'Retrospective data analysis of all requests for flow cytometric immunophenotyping in a tertiary hospital setting', Medical Technology SA, vol. 31, no. 1, pp. 1-5. |
en_ZA |
dc.identifier.issn |
1011-5528 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/66048 |
|
dc.language.iso |
en |
en_ZA |
dc.publisher |
Society of Medical Laboratory Technologists of South Africa |
en_ZA |
dc.rights |
Society of Medical Laboratory Technologists of South Africa |
en_ZA |
dc.subject |
Flow cytometry |
en_ZA |
dc.subject |
Immunophenotyping |
en_ZA |
dc.subject |
Diagnostic profiles |
en_ZA |
dc.subject.other |
Health sciences articles SDG-03 |
|
dc.subject.other |
SDG-03: Good health and well-being |
|
dc.subject.other |
Health sciences articles SDG-09 |
|
dc.subject.other |
SDG-09: Industry, innovation and infrastructure |
|
dc.title |
Retrospective data analysis of all requests for flow cytometric immunophenotyping in a tertiary hospital setting |
en_ZA |
dc.type |
Article |
en_ZA |