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Introduction:The aim of our study was to investigate the usefulness of logistic regression in determining risk factors associated with antibiotic resistance in pediatric urinary tract infections (UTIs).Methods:This was a cross-sectional etiological study on a series of children admitted for UTIs between January and September 2020.Statistical analysis was bi then multivariate using binary logistic regression.Results: A total of 100 episodes of bacteriologically documented UTI were included; in univariate analysis, antibiotic prescription in the preceding 3 months was associated with antibiotic resistance; in the final model of the multivariate analysis, only prior antibiotic therapy in the preceding 3 months was retained as an independent factor in the occurrence of UTI with an extended-spectrum beta-lactamase-producing strain.Conclusion: Our results underline the need for a therapeutic strategy adapted to our bacterial ecology, and for targeted action to remedy the factors contributing to antibiotic resistance.
Abonner på vårt nyhetsbrev og få rabatter og inspirasjon til din neste leseopplevelse.
Ved å abonnere godtar du vår personvernerklæring.