Control of morbidity due to Schistosoma haematobium on Pemba Island: egg excretion and hematuria as indicators of infection

Am J Trop Med Hyg. 1990 Sep;43(3):289-95. doi: 10.4269/ajtmh.1990.43.289.

Abstract

The variability of Schistosoma haematobium egg excretion using a quantitative syringe filtration technique and the variability of hematuria detected visually and by reagent strips were studied in a population of 520 subjects from the village of Pujini (Pemba Island, Zanzibar, Tanzania) for 6 consecutive days. A high degree of day-to-day variability of egg excretion within subjects was found both in the whole population and in the 5-19 year age group. Subjects with 1 urinary egg count of greater than or equal to 50 eggs/10 ml urine were not similarly classified in 36-61% of the other 5 examinations and 4-16% of their other examinations were negative. Gross hematuria had a specificity of almost 100%, when related to a positive filtration on any day, and was closely related to egg counts of greater than or equal to 50 eggs/10 ml urine. The finding of a strongly positive reaction for hematuria on a given single day was closely associated with the subject having a high egg count (greater than or equal to 50 eggs/10 ml urine) on at least one of the 6 days of the study. At the primary health care level, single highly positive semiquantitative values for hematuria were a more useful diagnostic indicator than a single egg count to select patients with heavy infections for selective population chemotherapy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Child
  • Child, Preschool
  • Cohort Studies
  • Female
  • Hematuria / complications
  • Hematuria / diagnosis*
  • Hematuria / epidemiology
  • Humans
  • Infant
  • Male
  • Middle Aged
  • Morbidity
  • Parasite Egg Count
  • Predictive Value of Tests
  • Prevalence
  • Schistosomiasis haematobia / complications
  • Schistosomiasis haematobia / diagnosis*
  • Schistosomiasis haematobia / epidemiology
  • Tanzania / epidemiology
  • Urine / parasitology*