Quantitative assessment of eosinophiluria in Schistosoma haematobium infections: a new marker of infection and bladder morbidity
Research output: Contribution to journal › Journal article › Research › peer-review
Eosinophiluria, as quantified by measuring eosinophil cationic protein (ECP) in urinary extracts, microhematuria, egg excretion, and ultrasound-detectable bladder pathology were recorded in Schistosoma haematobium-infected Tanzanian school children at a baseline survey and during an 18-month post-treatment follow-up study. Significant correlations were seen between urinary ECP levels, intensity of infection, and bladder pathology. Treatment resulted in a marked reduction in prevalence and intensity of infection, in a delayed and less marked reduction in ECP levels, and in a resolution of pathology. The overall diagnostic efficiency of the ECP test (cut-off value for the ECP > or =5 ng/ml) in relation to infection was comparable with that of egg count and microhematuria, but with a better sensitivity than a single egg count. In relation to bladder pathology, the diagnostic performance of the ECP test (cut-off value for the ECP > or =25 ng/ml) exceeded that of a single egg count. In addition, the ECP was better in discriminating between different grades of bladder pathology. The present study points to the ECP as a useful marker of both S. haematobium infection and of associated bladder morbidity reflecting the inflammatory status of the bladder wall.
Original language | English |
---|---|
Journal | American Journal of Tropical Medicine and Hygiene |
Volume | 62 |
Issue number | 1 |
Pages (from-to) | 19-28 |
Number of pages | 10 |
ISSN | 0002-9637 |
Publication status | Published - Jan 2000 |
- Adolescent, Animals, Anthelmintics, Blood Proteins, Child, Cohort Studies, Enzyme-Linked Immunosorbent Assay, Eosinophil Granule Proteins, Eosinophils, Female, Follow-Up Studies, Humans, Inflammation Mediators, Male, Morbidity, Parasite Egg Count, Praziquantel, Predictive Value of Tests, Ribonucleases, Schistosoma haematobium, Schistosomiasis haematobia, Statistics, Nonparametric, Tanzania, Urinary Bladder, Urinary Bladder Diseases, Urine
Research areas
ID: 50846304