Imaging strategy for infants with urinary tract infection: a new algorithm.
J Urol
; 185(3): 1046-52, 2011 Mar.
Article
en En
| MEDLINE
| ID: mdl-21247606
PURPOSE: We analyzed clinical data for prediction of permanent renal damage in infants with first time urinary tract infection. MATERIALS AND METHODS: This population based, prospective, 3-year study included 161 male and 129 female consecutive infants with first time urinary tract infection. Ultrasonography and dimercapto-succinic acid scintigraphy were performed as acute investigations and voiding cystourethrography within 2 months. Late scintigraphy was performed after 1 year in infants with abnormality on the first dimercapto-succinic acid scan or recurrent febrile urinary tract infections. End point was renal damage on the late scan. RESULTS: A total of 270 patients had end point data available, of whom 70 had renal damage and 200 did not. Final kidney status was associated with C-reactive protein, serum creatinine, temperature, leukocyturia, non-Escherichia coli bacteria, anteroposterior diameter on ultrasound and recurrent febrile urinary tract infections. In stepwise multiple regression analysis C-reactive protein, creatinine, leukocyturia, anteroposterior diameter and non-E.coli bacteria were independent predictors of permanent renal damage. C-reactive protein 70 mg/l or greater combined with anteroposterior diameter 10 mm or greater had sensitivity of 87% and specificity of 59% for renal damage. An algorithm for imaging of infants with first time urinary tract infection based on these results would have eliminated 126 acute dimercapto-succinic acid scans compared to our study protocol, while missing 9 patients with permanent renal damage. CONCLUSIONS: C-reactive protein can be used as a predictor of permanent renal damage in infants with urinary tract infection and together with anteroposterior diameter serves as a basis for an imaging algorithm.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Infecciones Urinarias
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Algoritmos
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Enfermedades Renales
Tipo de estudio:
Diagnostic_studies
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Guideline
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Female
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Humans
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Infant
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Male
Idioma:
En
Revista:
J Urol
Año:
2011
Tipo del documento:
Article
País de afiliación:
Suecia