[Urinary tract infections in children--aspects of microbiological diagnosis]. 2008

Magdalena Stârcea, and Mihaela Munteanu, and Gabriela Coman, and Cristiana Dragomir, and O Brumariu
Clinica Recuperare Pediatrică--Puericultură, Facultatea de Medicină, Universitatea de Medicină si Farmacie Gr.T. Popa Iaşi.

Urinary tract infection (UTI) is one of the most common bacterial infections of childhood, with the incidence range between 1-1.5% in boys and 3-8% in girls. OBJECTIVE To estimate the value of urine analysis (bacteriology and biochemistry) for diagnostic of UTI in children. METHODS The method was to observe 700 urinary specimens collected from patients hospitalized in 4th Clinic of Pediatric Nephrology between October 2004 and February 2005, the urinalysis (UA) being performed in the Microbiology laboratory of "St. Maria" Emergency Children Hospital Iaşi. The sample collection was made from the midstream urine flow, direct microscopy and standard culture were performed immediately after collection. We applied a diagnostic strategy study in order to evaluate sensitivity and specificity of UA for prediction of UTI. The data was assessed according to the Receiver Operator Characteristic Curve. CONCLUSIONS We analysed the relation between leukocituria and positive urine culture and we find a sensitivity equal to 56%, with CI 95% = 0.56 +/- 0.07, and a specificity equal to 10%, with CI 95% = 0.10 +/- 0.02. The likelihood of UTI with negative UA result has been calculated as a negative likelihood ratio = 4.4. If we supplement a number of culture (2-3) we have obtain a sensitivity 97% +/- 0.02%, and the predictive negative value 97% (that mean the possibility to lose UTI in just 3% cases), and a specificity 35%, with a predictive positive value 61% (that mean a decrease of possibility to over-measure UTI). CONCLUSIONS The sensitivity of UA increase if we correlate more than leukocyturie and the significantly positive urine culture. We must to supplement a number of urine culture for increase the chance to obtain a positive diagnostic of UTI, and to exclude a possibility to over-measure UTI. Through increase a sensibility of method for diagnostic, decrease the possibility to loose and no treaty UTI with serious consequence.

UI MeSH Term Description Entries
D008297 Male Males
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000465 Algorithms A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task. Algorithm
D012189 Retrospective Studies Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons. Retrospective Study,Studies, Retrospective,Study, Retrospective
D012383 Romania A country in southeastern Europe, bordering the Black Sea, between Bulgaria and Ukraine. The capital is Bucharest. Rumania,Roumania
D012680 Sensitivity and Specificity Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed) Specificity,Sensitivity,Specificity and Sensitivity
D014552 Urinary Tract Infections Inflammatory responses of the epithelium of the URINARY TRACT to microbial invasions. They are often bacterial infections with associated BACTERIURIA and PYURIA. Infection, Urinary Tract,Infections, Urinary Tract,Tract Infection, Urinary,Tract Infections, Urinary,Urinary Tract Infection

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