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Optimizing the diagnostic work-up of acute uncomplicated urinary tract infections

BACKGROUND: Most diagnostic tests for acute uncomplicated urinary tract infections (UTIs) have been previously studied in so-called single-test evaluations. In practice, however, clinicians use more than one test in the diagnostic work-up. Since test results carry overlapping information, results fr...

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Autores principales: Knottnerus, Bart J, Bindels, Patrick JE, Geerlings, Suzanne E, Moll van Charante, Eric P, ter Riet, Gerben
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2607275/
https://www.ncbi.nlm.nih.gov/pubmed/19063737
http://dx.doi.org/10.1186/1471-2296-9-64
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author Knottnerus, Bart J
Bindels, Patrick JE
Geerlings, Suzanne E
Moll van Charante, Eric P
ter Riet, Gerben
author_facet Knottnerus, Bart J
Bindels, Patrick JE
Geerlings, Suzanne E
Moll van Charante, Eric P
ter Riet, Gerben
author_sort Knottnerus, Bart J
collection PubMed
description BACKGROUND: Most diagnostic tests for acute uncomplicated urinary tract infections (UTIs) have been previously studied in so-called single-test evaluations. In practice, however, clinicians use more than one test in the diagnostic work-up. Since test results carry overlapping information, results from single-test studies may be confounded. The primary objective of the Amsterdam Cystitis/Urinary Tract Infection Study (ACUTIS) is to determine the (additional) diagnostic value of relevant tests from patient history and laboratory investigations, taking into account their mutual dependencies. Consequently, after suitable validation, an easy to use, multivariable diagnostic rule (clinical index) will be derived. METHODS: Women who contact their GP with painful and/or frequent micturition undergo a series of possibly relevant tests, consisting of patient history questions and laboratory investigations. Using urine culture as the reference standard, two multivariable models (diagnostic indices) will be generated: a model which assumes that patients attend the GP surgery and a model based on telephone contact only. Models will be made more robust using the bootstrap. Discrimination will be visualized in high resolution histograms of the posterior UTI probabilities and summarized as 5(th), 10(th), 25(th )50(th), 75(th), 90(th), and 95(th )centiles of these, Brier score and the area under the receiver operating characteristics curve (ROC) with 95% confidence intervals. Using the regression coefficients of the independent diagnostic indicators, a diagnostic rule will be derived, consisting of an efficient set of tests and their diagnostic values. The course of the presenting complaints is studied using 7-day patient diaries. To learn more about the natural history of UTIs, patients will be offered the opportunity to postpone the use of antibiotics. DISCUSSION: We expect that our diagnostic rule will allow efficient diagnosis of UTIs, necessitating the collection of diagnostic indicators with proven added value. GPs may use the rule (preferably after suitable validation) to estimate UTI probabilities for women with different combinations of test results. Finally, in a subcohort, an attempt is made to identify which indicators (including antibiotic treatment) are useful to prognosticate recovery from painful and/or frequent micturition.
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spelling pubmed-26072752008-12-24 Optimizing the diagnostic work-up of acute uncomplicated urinary tract infections Knottnerus, Bart J Bindels, Patrick JE Geerlings, Suzanne E Moll van Charante, Eric P ter Riet, Gerben BMC Fam Pract Study Protocol BACKGROUND: Most diagnostic tests for acute uncomplicated urinary tract infections (UTIs) have been previously studied in so-called single-test evaluations. In practice, however, clinicians use more than one test in the diagnostic work-up. Since test results carry overlapping information, results from single-test studies may be confounded. The primary objective of the Amsterdam Cystitis/Urinary Tract Infection Study (ACUTIS) is to determine the (additional) diagnostic value of relevant tests from patient history and laboratory investigations, taking into account their mutual dependencies. Consequently, after suitable validation, an easy to use, multivariable diagnostic rule (clinical index) will be derived. METHODS: Women who contact their GP with painful and/or frequent micturition undergo a series of possibly relevant tests, consisting of patient history questions and laboratory investigations. Using urine culture as the reference standard, two multivariable models (diagnostic indices) will be generated: a model which assumes that patients attend the GP surgery and a model based on telephone contact only. Models will be made more robust using the bootstrap. Discrimination will be visualized in high resolution histograms of the posterior UTI probabilities and summarized as 5(th), 10(th), 25(th )50(th), 75(th), 90(th), and 95(th )centiles of these, Brier score and the area under the receiver operating characteristics curve (ROC) with 95% confidence intervals. Using the regression coefficients of the independent diagnostic indicators, a diagnostic rule will be derived, consisting of an efficient set of tests and their diagnostic values. The course of the presenting complaints is studied using 7-day patient diaries. To learn more about the natural history of UTIs, patients will be offered the opportunity to postpone the use of antibiotics. DISCUSSION: We expect that our diagnostic rule will allow efficient diagnosis of UTIs, necessitating the collection of diagnostic indicators with proven added value. GPs may use the rule (preferably after suitable validation) to estimate UTI probabilities for women with different combinations of test results. Finally, in a subcohort, an attempt is made to identify which indicators (including antibiotic treatment) are useful to prognosticate recovery from painful and/or frequent micturition. BioMed Central 2008-12-08 /pmc/articles/PMC2607275/ /pubmed/19063737 http://dx.doi.org/10.1186/1471-2296-9-64 Text en Copyright © 2008 Knottnerus et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Study Protocol
Knottnerus, Bart J
Bindels, Patrick JE
Geerlings, Suzanne E
Moll van Charante, Eric P
ter Riet, Gerben
Optimizing the diagnostic work-up of acute uncomplicated urinary tract infections
title Optimizing the diagnostic work-up of acute uncomplicated urinary tract infections
title_full Optimizing the diagnostic work-up of acute uncomplicated urinary tract infections
title_fullStr Optimizing the diagnostic work-up of acute uncomplicated urinary tract infections
title_full_unstemmed Optimizing the diagnostic work-up of acute uncomplicated urinary tract infections
title_short Optimizing the diagnostic work-up of acute uncomplicated urinary tract infections
title_sort optimizing the diagnostic work-up of acute uncomplicated urinary tract infections
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2607275/
https://www.ncbi.nlm.nih.gov/pubmed/19063737
http://dx.doi.org/10.1186/1471-2296-9-64
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