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Clinical prediction rules for childhood urinary tract infections: a cross-sectional study in ambulatory care

BACKGROUND: Diagnosing childhood urinary tract infections (UTIs) is challenging. Clinical prediction rules may help to identify children that require urine sampling. However, there is a lack of research to determine the accuracy of the scores in general practice. AIM: To validate clinical prediction...

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Autores principales: Boon, Hanne Ann, Verbakel, Jan Y, De Burghgraeve, Tine, den Bruel, Ann Van
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal College of General Practitioners 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9447316/
https://www.ncbi.nlm.nih.gov/pubmed/35031560
http://dx.doi.org/10.3399/BJGPO.2021.0171
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author Boon, Hanne Ann
Verbakel, Jan Y
De Burghgraeve, Tine
den Bruel, Ann Van
author_facet Boon, Hanne Ann
Verbakel, Jan Y
De Burghgraeve, Tine
den Bruel, Ann Van
author_sort Boon, Hanne Ann
collection PubMed
description BACKGROUND: Diagnosing childhood urinary tract infections (UTIs) is challenging. Clinical prediction rules may help to identify children that require urine sampling. However, there is a lack of research to determine the accuracy of the scores in general practice. AIM: To validate clinical prediction rules (UTI Calculator [UTICalc], A Diagnosis of Urinary Tract Infection in Young Children [DUTY], and Gorelick score) for paediatric UTIs in primary care. DESIGN & SETTING: Post-hoc analysis of a cross-sectional study in 39 general practices and two emergency departments (EDs). The study took place in Belgium from March 2019–March 2020. METHOD: Physicians recruited acutely ill children aged ≤18 years and sampled urine systematically for culture. Per rule, an apparent validation was performed, and sensitivities and specificities were calculated with 95% confidence intervals (CIs) per threshold in the target group. For the DUTY coefficient-based algorithm, a logistic calibration was performed and the area under the receiver operating characteristic curve (AUC) was calculated with 95% CI. RESULTS: Of 834 children aged ≤18 years recruited, there were 297 children aged <5 years. The UTICalc and Gorelick score had high-to-moderate sensitivity and low specificity: UTICalc (≥2%) 75% and 16%, respectively; Gorelick (≥2 variables) 91% and 8%, respectively. In contrast, the DUTY score ≥5 points had low sensitivity (8%) but high specificity (99%). Urine samples would be obtained in 72% versus 38% (UTICalc), 92% versus 38% (Gorelick) or 1% versus 32% (DUTY) of children, compared with routine care. The number of missed infections per score was 1/4 (UTICalc), 2/23 (Gorelick), and 24/26 (DUTY). The UTICalc + dipstick model had high sensitivity and specificity (100% and 91%), resulting in no missed cases and 59% (95% CI = 49% to 68%) of antibiotics prescribed inappropriately. CONCLUSION: In this study, the UTICalc and Gorelick score were useful for ruling out UTI, but resulted in high urine sampling rates. The DUTY score had low sensitivity, meaning that 92% of UTIs would be missed.
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spelling pubmed-94473162022-09-19 Clinical prediction rules for childhood urinary tract infections: a cross-sectional study in ambulatory care Boon, Hanne Ann Verbakel, Jan Y De Burghgraeve, Tine den Bruel, Ann Van BJGP Open Research BACKGROUND: Diagnosing childhood urinary tract infections (UTIs) is challenging. Clinical prediction rules may help to identify children that require urine sampling. However, there is a lack of research to determine the accuracy of the scores in general practice. AIM: To validate clinical prediction rules (UTI Calculator [UTICalc], A Diagnosis of Urinary Tract Infection in Young Children [DUTY], and Gorelick score) for paediatric UTIs in primary care. DESIGN & SETTING: Post-hoc analysis of a cross-sectional study in 39 general practices and two emergency departments (EDs). The study took place in Belgium from March 2019–March 2020. METHOD: Physicians recruited acutely ill children aged ≤18 years and sampled urine systematically for culture. Per rule, an apparent validation was performed, and sensitivities and specificities were calculated with 95% confidence intervals (CIs) per threshold in the target group. For the DUTY coefficient-based algorithm, a logistic calibration was performed and the area under the receiver operating characteristic curve (AUC) was calculated with 95% CI. RESULTS: Of 834 children aged ≤18 years recruited, there were 297 children aged <5 years. The UTICalc and Gorelick score had high-to-moderate sensitivity and low specificity: UTICalc (≥2%) 75% and 16%, respectively; Gorelick (≥2 variables) 91% and 8%, respectively. In contrast, the DUTY score ≥5 points had low sensitivity (8%) but high specificity (99%). Urine samples would be obtained in 72% versus 38% (UTICalc), 92% versus 38% (Gorelick) or 1% versus 32% (DUTY) of children, compared with routine care. The number of missed infections per score was 1/4 (UTICalc), 2/23 (Gorelick), and 24/26 (DUTY). The UTICalc + dipstick model had high sensitivity and specificity (100% and 91%), resulting in no missed cases and 59% (95% CI = 49% to 68%) of antibiotics prescribed inappropriately. CONCLUSION: In this study, the UTICalc and Gorelick score were useful for ruling out UTI, but resulted in high urine sampling rates. The DUTY score had low sensitivity, meaning that 92% of UTIs would be missed. Royal College of General Practitioners 2022-04-06 /pmc/articles/PMC9447316/ /pubmed/35031560 http://dx.doi.org/10.3399/BJGPO.2021.0171 Text en Copyright © 2022, The Authors https://creativecommons.org/licenses/by/4.0/This article is Open Access: CC BY license (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Research
Boon, Hanne Ann
Verbakel, Jan Y
De Burghgraeve, Tine
den Bruel, Ann Van
Clinical prediction rules for childhood urinary tract infections: a cross-sectional study in ambulatory care
title Clinical prediction rules for childhood urinary tract infections: a cross-sectional study in ambulatory care
title_full Clinical prediction rules for childhood urinary tract infections: a cross-sectional study in ambulatory care
title_fullStr Clinical prediction rules for childhood urinary tract infections: a cross-sectional study in ambulatory care
title_full_unstemmed Clinical prediction rules for childhood urinary tract infections: a cross-sectional study in ambulatory care
title_short Clinical prediction rules for childhood urinary tract infections: a cross-sectional study in ambulatory care
title_sort clinical prediction rules for childhood urinary tract infections: a cross-sectional study in ambulatory care
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9447316/
https://www.ncbi.nlm.nih.gov/pubmed/35031560
http://dx.doi.org/10.3399/BJGPO.2021.0171
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