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Abstract - Predictors of Urinary Tract Infection and Their Diagnostic Performances among Cameroonian Under-five
Koumo Motse Francine Dorgelesse, Ngaba Guy Pascal, Kojom Foko Loick Pradel, Kedy Koum Danielle Christiane, Okalla Ebongue Cecile, Ida Penda Calixte, Mah Evelyn, Ciabi Andreas, Adiogo Dieudonné

Predictors of Urinary Tract Infection and Their Diagnostic Performances among Cameroonian Under-five

Dorgelesse Francine Kouemo Motse1,2, Guy Pascal Ngaba1, Loick Pradel Kojom3, Danielle Christiane Kedy Koum1, Cecile Ebongue Okalla1,4, Calixte Ida Penda1, Evelyn Mah5, Andreas Chiabi5, Dieudonné Désiré Adiogo1

1Department of Biological Science, Faculty of Medicine and Pharmaceutical Science, the University of Douala, Douala, Cameroon

2Department of Medical Laboratory Science, Faculty of Health Sciences, University of Buea, Buea, Cameroon

3Department of Animal Sciences, Faculty of Science, the University of Douala, Douala, Cameroon

4Douala General Hospital, Douala, Cameroon

5Department of Pediatrics, Faculty of Medicine and Biomedical Science, University of Yaounde I, Yaounde, Cameroon



Objective: Urinary tract infection (UTIs) in child is a serious public health problem especially in developing countries. This study aimed at identifying factors associated with urinary tract infection and determining their diagnosis performances as well as resulting algorithms among Cameroonian under-five.

Methods: A descriptive and analytical cross sectional study took place from May 2013 to March 2014 at Pediatrics Department of the Bonassama District hospital in the town of Douala. Urine samples were collected dependent on the age of children and its aptitude to micturate. Ten microliters (10 µL) of urine specimen were cultured at 37°C for 24-48 hours. In addition, sociodemographic, anthropometric, clinic and biological information of each child were documented.

Results: The prevalence of UTI was 32.2% (129/400) which was mainly caused by Escherichia coli (41.1%). A total of four risk factors for UTI were found after adjustment for all pertinent characteristics of children. These included female gender (ARR= 0.55; p= 0.0046), presence of fever (ARR = 1.83; p= 0.0426), trouble urine (ARR = 1.36; p= 0.0063) and presence of nitrites in urine (ARR = 1.09; p= 0.0001). Presence of nitrites was the most discriminant parameter based on specificity (98.1%), positive predictive value (95.4%) and negative predictive value (90.1%). The diagnosis performances have gradually improved with the increasing number of parameters. 

Conclusion: This study reported four factors associated with increased risk for UTI. This also outlined that the presence of nitrites in urine had best diagnosis performances and different predictors-based clinical algorithms could be helpful especially in the identification of UTI-negative children.  J Microbiol Infect Dis 2019; 9(2):68-77.

Keywords: Under-five, urinary tract infection, predictors, predictive potential, Cameroon

Volume 09, Number 02 (2019)