Alastair D Hay1, Jonathan A C Sterne2, Kerenza Hood3, Paul Little4, Brendan Delaney5, William Hollingworth2, Mandy Wootton6, Robin Howe6, Alasdair MacGowan7, Michael Lawton2, John Busby2, Timothy Pickles3, Kate Birnie2, Kathryn O'Brien8, Cherry-Ann Waldron3, Jan Dudley9, Judith Van Der Voort10, Harriet Downing11, Emma Thomas-Jones3, Kim Harman4, Catherine Lisles3, Kate Rumsby4, Stevo Durbaba12, Penny Whiting13, Christopher C Butler14. 1. Centre for Academic Primary Care, School of Social and Community Medicine, University of Bristol, Clifton, Bristol, United Kingdom alastair.hay@bristol.ac.uk. 2. School of Social and Community Medicine, University of Bristol, Clifton, Bristol, United Kingdom. 3. South East Wales Trials Unit (SEWTU), Centre for Trials Research, Cardiff University, Heath Park, Cardiff, United Kingdom. 4. Primary Care and Population Science, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Aldermoor Close, Southampton, United Kingdom. 5. Guys' and St Thomas' Charity Chair in Primary Care Research, NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London, Department of Primary Care and Public Health Sciences, London, United Kingdom. 6. Specialist Antimicrobial Chemotherapy Unit, Public Health Wales Microbiology Cardiff, University Hospital Wales, Heath Park, Cardiff, United Kingdom. 7. North Bristol NHS Trust, Southmead Hospital, Westbury-on-Trym, Bristol, United Kingdom. 8. Division of Population Medicine, School of Medicine, Cardiff University, Heath Park, Cardiff, United Kingdom. 9. Bristol Royal Hospital for Children, University Hospitals Bristol, NHS Foundation Trust, Bristol, United Kingdom. 10. Department of Paediatrics and Child Health, University Hospital of Wales, Heath Park, Cardiff, United Kingdom. 11. Centre for Academic Primary Care, School of Social and Community Medicine, University of Bristol, Clifton, Bristol, United Kingdom. 12. King's College London, Division of Health and Social Care Research, Department of Primary Care and Public Health Sciences, London, United Kingdom. 13. NIHR CLAHRC West, University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom. 14. Nuffield Department of Primary Care Health Sciences, University of Oxford, New Radcliffe House, Radcliffe Observatory Quarter, Oxford, United Kingdom, and General Practitioner, Cwm Taf University Health Board, Wales, United Kingdom.
Abstract
PURPOSE: Up to 50% of urinary tract infections (UTIs) in young children are missed in primary care. Urine culture is essential for diagnosis, but urine collection is often difficult. Our aim was to derive and internally validate a 2-step clinical rule using (1) symptoms and signs to select children for urine collection; and (2) symptoms, signs, and dipstick testing to guide antibiotic treatment. METHODS: We recruited acutely unwell children aged under 5 years from 233 primary care sites across England and Wales. Index tests were parent-reported symptoms, clinician-reported signs, urine dipstick results, and clinician opinion of UTI likelihood (clinical diagnosis before dipstick and culture). The reference standard was microbiologically confirmed UTI cultured from a clean-catch urine sample. We calculated sensitivity, specificity, and area under the receiver operator characteristic (AUROC) curve of coefficient-based (graded severity) and points-based (dichotomized) symptom/sign logistic regression models, and we then internally validated the AUROC using bootstrapping. RESULTS: Three thousand thirty-six children provided urine samples, and culture results were available for 2,740 (90%). Of these results, 60 (2.2%) were positive: the clinical diagnosis was 46.6% sensitive, with an AUROC of 0.77. Previous UTI, increasing pain/crying on passing urine, increasingly smelly urine, absence of severe cough, increasing clinician impression of severe illness, abdominal tenderness on examination, and normal findings on ear examination were associated with UTI. The validated coefficient- and points-based model AUROCs were 0.87 and 0.86, respectively, increasing to 0.90 and 0.90, respectively, by adding dipstick nitrites, leukocytes, and blood. CONCLUSIONS: A clinical rule based on symptoms and signs is superior to clinician diagnosis and performs well for identifying young children for noninvasive urine sampling. Dipstick results add further diagnostic value for empiric antibiotic treatment.
PURPOSE: Up to 50% of urinary tract infections (UTIs) in young children are missed in primary care. Urine culture is essential for diagnosis, but urine collection is often difficult. Our aim was to derive and internally validate a 2-step clinical rule using (1) symptoms and signs to select children for urine collection; and (2) symptoms, signs, and dipstick testing to guide antibiotic treatment. METHODS: We recruited acutely unwell children aged under 5 years from 233 primary care sites across England and Wales. Index tests were parent-reported symptoms, clinician-reported signs, urine dipstick results, and clinician opinion of UTI likelihood (clinical diagnosis before dipstick and culture). The reference standard was microbiologically confirmed UTI cultured from a clean-catch urine sample. We calculated sensitivity, specificity, and area under the receiver operator characteristic (AUROC) curve of coefficient-based (graded severity) and points-based (dichotomized) symptom/sign logistic regression models, and we then internally validated the AUROC using bootstrapping. RESULTS: Three thousand thirty-six children provided urine samples, and culture results were available for 2,740 (90%). Of these results, 60 (2.2%) were positive: the clinical diagnosis was 46.6% sensitive, with an AUROC of 0.77. Previous UTI, increasing pain/crying on passing urine, increasingly smelly urine, absence of severe cough, increasing clinician impression of severe illness, abdominal tenderness on examination, and normal findings on ear examination were associated with UTI. The validated coefficient- and points-based model AUROCs were 0.87 and 0.86, respectively, increasing to 0.90 and 0.90, respectively, by adding dipstick nitrites, leukocytes, and blood. CONCLUSIONS: A clinical rule based on symptoms and signs is superior to clinician diagnosis and performs well for identifying young children for noninvasive urine sampling. Dipstick results add further diagnostic value for empiric antibiotic treatment.
Authors: Christopher C Butler; Kathryn O'Brien; Timothy Pickles; Kerenza Hood; Mandy Wootton; Robin Howe; Cherry-Ann Waldron; Emma Thomas-Jones; William Hollingworth; Paul Little; Judith Van Der Voort; Jan Dudley; Kate Rumsby; Harriet Downing; Kim Harman; Alastair D Hay Journal: Br J Gen Pract Date: 2015-04 Impact factor: 5.386
Authors: Christopher C Butler; Jonathan Ac Sterne; Michael Lawton; Kathryn O'Brien; Mandy Wootton; Kerenza Hood; William Hollingworth; Paul Little; Brendan C Delaney; Judith van der Voort; Jan Dudley; Kate Birnie; Timothy Pickles; Cherry-Ann Waldron; Harriet Downing; Emma Thomas-Jones; Catherine Lisles; Kate Rumsby; Stevo Durbaba; Penny Whiting; Kim Harman; Robin Howe; Alasdair MacGowan; Margaret Fletcher; Alastair D Hay Journal: Br J Gen Pract Date: 2016-07 Impact factor: 5.386
Authors: Malcolm G Coulthard; Heather J Lambert; Susan J Vernon; Elizabeth W Hunter; Michael J Keir; John N S Matthews Journal: Arch Dis Child Date: 2013-12-18 Impact factor: 3.791
Authors: Christopher C Butler; Jonathan Ac Sterne; Michael Lawton; Kathryn O'Brien; Mandy Wootton; Kerenza Hood; William Hollingworth; Paul Little; Brendan C Delaney; Judith van der Voort; Jan Dudley; Kate Birnie; Timothy Pickles; Cherry-Ann Waldron; Harriet Downing; Emma Thomas-Jones; Catherine Lisles; Kate Rumsby; Stevo Durbaba; Penny Whiting; Kim Harman; Robin Howe; Alasdair MacGowan; Margaret Fletcher; Alastair D Hay Journal: Br J Gen Pract Date: 2016-07 Impact factor: 5.386
Authors: William Hollingworth; John Busby; Christopher C Butler; Kathryn O'Brien; Jonathan A C Sterne; Kerenza Hood; Paul Little; Michael Lawton; Kate Birnie; Emma Thomas-Jones; Kim Harman; Alastair D Hay Journal: Value Health Date: 2017-02-22 Impact factor: 5.725
Authors: Tracy E Bunting-Early; Nader Shaikh; Lynn Woo; Christopher S Cooper; T Ernesto Figueroa Journal: Front Pediatr Date: 2017-02-21 Impact factor: 3.418
Authors: Beth Stuart; Hilda Hounkpatin; Taeko Becque; Guiqing Yao; Shihua Zhu; Pablo Alonso-Coello; Attila Altiner; Bruce Arroll; Dankmar Böhning; Jennifer Bostock; Heiner C C Bucher; Mariam de la Poza; Nick A Francis; David Gillespie; Alastair D Hay; Timothy Kenealy; Christin Löffler; Gemma Mas-Dalmau; Laura Muñoz; Kirsty Samuel; Michael Moore; Paul Little Journal: BMJ Open Date: 2019-01-21 Impact factor: 2.692