1887

Abstract

Automated light depolarization analysis could be a useful tool for diagnosing malarial infections. This work discusses the results of a diagnostic efficacy study on 411 samples from patients with suspected malaria infection performed with a Cell-Dyn 4000 analyser. Light dispersed at 90° and depolarized can be used for identifying and counting eosinophils. However, other cell populations with depolarizing capacity occur in malarial samples; these result from leukocytes ingesting haemozoin that is derived from the degradation of the haem group of haemoglobin performed by the parasite. A sensitivity of 72 % and specificity of 98 % were recorded, with positive and negative predictive values of 78 % and 97 %, respectively. Although the sensitivity level of the automated light depolarization analysis is not adequate to replace the existing methods for the diagnosis of parasitic diseases, it could alert clinicians to unsuspected infections by parasites, particularly those from the genus .

Loading

Article metrics loading...

/content/journal/jmm/10.1099/jmm.0.45650-0
2005-05-01
2019-11-15
Loading full text...

Full text loading...

/deliver/fulltext/jmm/54/5/JM540505.html?itemId=/content/journal/jmm/10.1099/jmm.0.45650-0&mimeType=html&fmt=ahah

References

  1. Ben-Ezra, J., St. Louis, M. & Riley, R. S. ( 2001;). Automated malarial detection with the Abbott Cell-Dyn 4000 hematology analyzer. Lab Haematol 7, 61–64.
    [Google Scholar]
  2. Grimaldi, E. & Scopacasa, F. ( 2000;). Evaluation of the Abbott Cell-Dyn 4000 hematology analyzer. Am J Clin Pathol 113, 497–505.[CrossRef]
    [Google Scholar]
  3. Hänscheid, T., Pinto, B. G., Pereira, I., Cristino, J. M. & Valadas, E. ( 1999;). Avoiding misdiagnosis of malaria: a novel automated method allows specific diagnosis, even in the absence of clinical suspicion. Emerg Infect Dis 5, 836–838.[CrossRef]
    [Google Scholar]
  4. Jones, K. N., Mascia, B., Waggoner-Fountain, L. & Pearson, R. D. ( 2001;). Diagnosis by automated blood analyzer. Clin Infect Dis 33, 1944–1945.[CrossRef]
    [Google Scholar]
  5. Kain, K. C. & Harrington, M. A. Tennyson, S. & Keystone, J. S. ( 1998;). Imported malaria: prospective analysis of problems in diagnosis and management. Clin Infect Dis 27, 142–149.[CrossRef]
    [Google Scholar]
  6. Krämer, B., Grobusch, M. P., Suttorp, N., Neukammer, J. & Rinneberg, H. ( 1999;). Relative frequency of malaria pigment-carrying monocytes of nonimmune and semi-immune patients from flow cytometric depolarized side scatter. Cytometry 45, 133–140.
    [Google Scholar]
  7. Mendelow, B. V., Lyons, C., Nhlangothi, P. and 7 other authors ( 1999;). Automated malaria detection by depolarization of laser light. Br J Haematol 104, 499–503.[CrossRef]
    [Google Scholar]
  8. Scott, C. S., Van Zyl, D., Ho, E., Ruivo, L., Kunz, D. & Coetzer, T. L. ( 2002;). Patterns of pseudo-reticulocytosis in malaria: fluorescent analysis with the Cell-Dyn CD4000. Clin Lab Haematol 24, 15–20.[CrossRef]
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/jmm/10.1099/jmm.0.45650-0
Loading
/content/journal/jmm/10.1099/jmm.0.45650-0
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error