Your browser doesn't support javascript.
loading
Evaluating the Performance of FlukeCatcher at Detecting Urogenital Schistosomiasis.
Fok, Louis; Erko, Berhanu; Brett-Major, David; Animut, Abebe; Broadhurst, M Jana; Dai, Daisy; Linville, John; Levecke, Bruno; Negash, Yohannes; Degarege, Abraham.
Afiliación
  • Fok L; Department of Epidemiology, University of Nebraska Medical Center, Omaha, NE 68198, USA.
  • Erko B; Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa P.O. Box 1176, Ethiopia.
  • Brett-Major D; Department of Epidemiology, University of Nebraska Medical Center, Omaha, NE 68198, USA.
  • Animut A; Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa P.O. Box 1176, Ethiopia.
  • Broadhurst MJ; Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE 68198, USA.
  • Dai D; Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE 68198, USA.
  • Linville J; Department of Environmental, Agricultural & Occupational Health, University of Nebraska Medical Center, Omaha, NE 68198, USA.
  • Levecke B; Department of Virology, Parasitology and Immunology, Ghent University, 9820 Merelbeke, Belgium.
  • Negash Y; Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa P.O. Box 1176, Ethiopia.
  • Degarege A; Department of Epidemiology, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Diagnostics (Basel) ; 14(10)2024 May 17.
Article en En | MEDLINE | ID: mdl-38786335
ABSTRACT
Urine filtration microscopy (UFM) lacks sensitivity in detecting low-intensity Schistosoma haematobium infections. In pursuit of a superior alternative, this study evaluated the performance of FlukeCatcher microscopy (FCM) at detecting S. haematobium eggs in human urine samples. Urine samples were collected from 572 school-age children in Afar, Ethiopia in July 2023 and examined using UFM and FCM approaches. Using the combined UFM and FCM results as a reference, the sensitivity, negative predictive value, and agreement levels for the two testing methods in detecting S. haematobium eggs in urine samples were calculated. The sensitivity and negative predictive value of detecting S. haematobium eggs in urine samples for FCM was 84% and 97%, respectively, compared to 65% and 93% for UFM. The FCM test results had an agreement of 61% with the UFM results, compared to 90% with the combined results of FCM and UFM. However, the average egg count estimates were lower when using FCM (6.6 eggs per 10 mL) compared to UFM (14.7 eggs per 10 mL) (p < 0.0001). Incorporating FCM into specimen processing could improve the diagnosis of S. haematobium infection but may underperform in characterizing the intensity of infection.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos