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

<p>Abstract</p> <p>Background</p> <p>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...

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Main Authors: van Charante Eric, Geerlings Suzanne E, Bindels Patrick JE, Knottnerus Bart J, ter Riet Gerben
Format: Article
Language:English
Published: BMC 2008-12-01
Series:BMC Family Practice
Online Access:http://www.biomedcentral.com/1471-2296/9/64
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spelling doaj-7f7f5ea374844dbeba41645a5c54b9ad2020-11-25T02:58:04ZengBMCBMC Family Practice1471-22962008-12-01916410.1186/1471-2296-9-64Optimizing the diagnostic work-up of acute uncomplicated urinary tract infectionsvan Charante EricGeerlings Suzanne EBindels Patrick JEKnottnerus Bart Jter Riet Gerben<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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<sup>th</sup>, 10<sup>th</sup>, 25<sup>th </sup>50<sup>th</sup>, 75<sup>th</sup>, 90<sup>th</sup>, and 95<sup>th </sup>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.</p> <p>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.</p> <p>Discussion</p> <p>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.</p> http://www.biomedcentral.com/1471-2296/9/64
collection DOAJ
language English
format Article
sources DOAJ
author van Charante Eric
Geerlings Suzanne E
Bindels Patrick JE
Knottnerus Bart J
ter Riet Gerben
spellingShingle van Charante Eric
Geerlings Suzanne E
Bindels Patrick JE
Knottnerus Bart J
ter Riet Gerben
Optimizing the diagnostic work-up of acute uncomplicated urinary tract infections
BMC Family Practice
author_facet van Charante Eric
Geerlings Suzanne E
Bindels Patrick JE
Knottnerus Bart J
ter Riet Gerben
author_sort van Charante Eric
title 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_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_sort optimizing the diagnostic work-up of acute uncomplicated urinary tract infections
publisher BMC
series BMC Family Practice
issn 1471-2296
publishDate 2008-12-01
description <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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<sup>th</sup>, 10<sup>th</sup>, 25<sup>th </sup>50<sup>th</sup>, 75<sup>th</sup>, 90<sup>th</sup>, and 95<sup>th </sup>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.</p> <p>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.</p> <p>Discussion</p> <p>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.</p>
url http://www.biomedcentral.com/1471-2296/9/64
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