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Prof. Nagwa Shaban Mohamed AlY :: Publications:

Title:
Intestinal parasite infections and accuracy of direct thin and thick smear, formol-ether sedimentation, centrifugal flotation and Mini-FLOTAC techniques among patients with gastrointestinal tract disorders from the Greater Cairo region, Egypt.
Authors: Husseein A;Rashed SM ;Elhayawan I.; Aly Nagwa SM; Ouf EA and Thanaa A
Year: 2017
Keywords: flotac; intestinal parasites
Journal: American journal of tropical medicine and Hygiene
Volume: Not Available
Issue: Not Available
Pages: 589 - 594
Publisher: Not Available
Local/International: International
Paper Link:
Full paper Nagwa Shaban Mohamed AlY_2017-1-AJTM-flotac-Final.pdf
Supplementary materials Not Available
Abstract:

The aim of the present study was to assess the frequency of intestinal parasitic infection among patients with gastrointestinal tract disorders from the Greater Cairo region, Egypt. In addition, a comparison was made of the accuracy of direct thin and thick smear, formol-ether sedimentation (FEC), centrifugal flotation (CF), and mini- FLOTAC techniques in the diagnosis of infection. Out of 100 patients, the overall prevalence of parasitic infection was 51%. Only 6% had dual infection. Giardia lamblia was the most common parasite (26%), followed by Hymenolepis nana (20%), Entamoeba coli (8%), and Enterobius vermicularis (3%). Except the statistically significant association between E. vermicularis infection and perianal itching and insomnia (P < 0.001), age, gender, and complaints of the examined individuals had no association with prevalence of parasitic infection. Both FEC and CF were equally the most accurate techniques (accuracy = 98.2%, confidence interval [CI] = 0.95–1.0, and  index = 0.962), whereas the Kato-Katz method was the least accurate (accuracy = 67.5%, CI = 0.57–0.78, and  index = 0.333). However, mini-FLOTAC-ZnSO4 was the most accurate for diagnosis of helminthic infection, and FEC was more accurate for diagnosis of protozoal infection (accuracy = 100%, CI = 1.0–1.0, and  index = 1).

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