• Login
    View Item 
    •   UZ eScholar Home
    • Faculty of Science
    • Department of Biochemistry
    • Biochemistry Staff Publications
    • View Item
    •   UZ eScholar Home
    • Faculty of Science
    • Department of Biochemistry
    • Biochemistry Staff Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Identifying and evaluating field indicators of Urogenital Schistosomiasis-related morbidity in preschool-aged children

    Thumbnail
    View/Open
    Wami_etal_Identifying_and_Evaluating_Field_Indicators_of_urogenital_schistomiasis_related_morbidity.pdf (496.5Kb)
    Date
    2015-03-20
    Author
    Wami, Welcome M.
    Nausch, Norman
    Midzi, Nicholas
    Gwisai, Reggis
    Mduluza, Takafira
    Woolhouse, Mark
    Mutapi, Francisca
    Type
    Article
    Metadata
    Show full item record

    Abstract
    Several studies have been conducted quantifying the impact of schistosome infections on health and development in school-aged children. In contrast, relatively little is known about morbidity levels in preschool-aged children (_5 years) who have been neglected in terms of schistosome research and control. The aim of this study was to compare the utility of available point-of-care (POC) morbidity diagnostic tools in preschool versus primary school-aged children (6–10 years) and determine markers which can be used in the field to identify and quantify Schistosoma haematobium-related morbidity. A comparative cross-sectional study was conducted to evaluate the performance of currently available POC morbidity diagnostic tools on Zimbabwean children aged 1–5 years (n=104) and 6–10 years (n=194). Morbidity was determined using the POC diagnostics questionnaire-based reporting of haematuria and dysuria, clinical examination, urinalysis by dipsticks, and urine albumin-to-creatinine ratio (UACR). Attributable fractions were used to quantify the proportion of morbidity attributable to S. haematobium infection. Based on results of attributable fractions, UACR was identified as the most reliable tool for detecting schistosome-related morbidity, followed by dipsticks, visual urine inspection, questionnaires, and lastly clinical examination. The results of urine dipstick attributes showed that proteinuria and microhaematuria accounted for most differences between schistosome egg-positive and negative children (T=-50.1; p<0.001). These observations were consistent in preschool vs. primary school-aged children. Preschool-aged children in endemic areas can be effectively screened for schistosomerelated morbidity using the same currently available diagnostic tools applicable to older children. UACR for detecting albuminuria is recommended as the best choice for rapid assessment of morbidity attributed to S. haematobium infection in children in the field. The use of dipstick microhaematuria and proteinuria as additional indicators of schistosome-related morbidity would improve the estimation of disease burden in young children.
    URI
    http://hdl.handle.net/10646/2719
    Additional Citation Information
    Wami, W. M. et al. (2015). Identifying and evaluating field indicators of Urogenital Schistosomiasis-related morbidity in preschool-aged children. PLoS Neglected Tropical Diseases 9(3): e0003649. doi:10.1371/journal.pntd.0003649
    Sponsor
    Wellcome Trust (Grant number WT082028MA, http://www.wellcome.ac.uk/funding/) and Thrasher Research Funds (Grant number 9150, https://www.thrasherresearch.org/default.aspx).
    Publisher
    PLOS
    Subject
    schistosome infections
    Schistosoma haematobium-related morbidity
    point-of-care (POC) morbidity
    haematuria
    dysuria
    Collections
    • Biochemistry Staff Publications [10]

    University of Zimbabwe: Educating To Change Lives!
    DSpace software copyright © 2002-2020  DuraSpace | Contact Us | Send Feedback
     

     

    Browse

    All of UZ eScholarCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage StatisticsView Google Analytics Statistics

    University of Zimbabwe: Educating To Change Lives!
    DSpace software copyright © 2002-2020  DuraSpace | Contact Us | Send Feedback