Judith van der Voort
University Hospital of Wales
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Annals of Family Medicine | 2016
Alastair D Hay; Jonathan A C Sterne; Kerenza Hood; Paul Little; Brendan Delaney; William Hollingworth; Mandy Wootton; Robin Howe; Alasdair P. MacGowan; Michael T. Lawton; John Busby; Timothy Pickles; Kate Birnie; Kathryn O’Brien; Cherry-Ann Waldron; Jan Dudley; Judith van der Voort; Harriet Downing; Emma Thomas-Jones; Kim Harman; Catherine Lisles; Kate Rumsby; Stevo Durbaba; Penny Whiting; Christopher C. Butler
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.
British Journal of General Practice | 2015
Christopher Collett 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
BACKGROUND The prevalence of targeted and serendipitous treatment for, and associated recovery from, urinary tract infection (UTI) in pre-school children is unknown. AIM To determine the frequency and suspicion of UTI in children who are acutely ill, along with details of antibiotic prescribing, its appropriateness, and whether that appropriateness impacted on symptom improvement and recovery. DESIGN AND SETTING Prospective observational cohort study in primary care sites in urban and rural areas in England and Wales. METHOD Systematic urine sampling from children aged <5 years presenting in primary care with acute illness with culture in NHS laboratories. RESULTS Of 6079 childrens urine samples, 339 (5.6%) met laboratory criteria for UTI and 162 (47.9%) were prescribed antibiotics at the initial consultation. In total, 576/7101 (8.1%) children were suspected of having a UTI prior to urine sampling, including 107 of the 338 with a UTI (clinician sensitivity 31.7%). Children with a laboratory-diagnosed UTI were more likely to be prescribed antibiotics when UTI was clinically suspected than when it was not (86.0% versus 30.3%, P<0.001). Of 231 children with unsuspected UTI, 70 (30.3%) received serendipitous antibiotics (that is, antibiotics prescribed for a different reason). Overall, 176 (52.1%) children with confirmed UTI did not receive any initial antibiotic. Organism sensitivity to the prescribed antibiotic was higher when UTI was suspected than when treated serendipitously (77.1% versus 26.0%; P<0.001). Children with UTI prescribed appropriate antibiotics at the initial consultation improved a little sooner than those with a UTI who were not prescribed appropriate antibiotics initially (3.5 days versus 4.0 days; P = 0.005). CONCLUSION Over half of children with UTI on culture were not prescribed antibiotics at first presentation. Serendipitous UTI treatment was relatively common, but often inappropriate to the organisms sensitivity. Methods for improved targeting of antibiotic treatment in children who are acutely unwell are urgently needed.
Family Practice | 2016
Christopher Collett Butler; Kathryn O'Brien; Mandy Wootton; Timothy Pickles; Kerenza Hood; Robin Howe; Cherry-Ann Waldron; Emma Thomas-Jones; Jan Dudley; Judith van der Voort; Kate Rumsby; Paul Little; Harriet Downing; Kim Harman; Alastair D Hay
BACKGROUND Antibiotic treatment recommendations based on susceptibility data from routinely submitted urine samples may be biased because of variation in sampling, laboratory procedures and inclusion of repeat samples, leading to uncertainty about empirical treatment. OBJECTIVE To describe and compare susceptibilities of Escherichia coli cultured from routinely submitted samples, with E. coli causing urinary tract infection (UTI) from a cohort of systematically sampled, acutely unwell children. METHODS Susceptibilities of 1458 E. coli isolates submitted during the course of routine primary care for children <5 years (routine care samples), compared to susceptibilities of 79 E. coli isolates causing UTI from 5107 children <5 years presenting to primary care with an acute illness [systematic sampling: the Diagnosis of Urinary Tract infection in Young children (DUTY) cohort]. RESULTS The percentage of E. coli sensitive to antibiotics cultured from routinely submitted samples were as follows: amoxicillin 45.1% (95% confidence interval: 42.5-47.7%); co-amoxiclav using the lower systemic break point (BP) 86.6% (84.7-88.3%); cephalexin 95.1% (93.9-96.1%); trimethoprim 74.0% (71.7-76.2%) and nitrofurantoin 98.2% (97.4-98.8%). The percentage of E. coli sensitive to antibiotics cultured from systematically sampled DUTY urines considered to be positive for UTI were as follows: amoxicillin 50.6% (39.8-61.4%); co-amoxiclav using the systemic BP 83.5% (73.9-90.1%); co-amoxiclav using the urinary BP 94.9% (87.7-98.4%); cephalexin 98.7% (93.2-99.8%); trimethoprim 70.9% (60.1-80.0%); nitrofurantoin 100% (95.3-100.0%) and ciprofloxacin 96.2% (89.4-98.7%). CONCLUSION Escherichia coli susceptibilities from routine and systematically obtained samples were similar. Most UTIs in preschool children remain susceptible to nitrofurantoin, co-amoxiclav and cephalexin.
PLOS ONE | 2017
Martin Chalumeau; Kate Birnie; Alastair D Hay; Mandy Wootton; Robin Howe; Alasdair P. MacGowan; Penny F Whiting; Michael T. Lawton; Brendan Delaney; Harriet Downing; Jan Dudley; William Hollingworth; Catherine Lisles; Paul Little; Kathryn O'Brien; Timothy Pickles; Kate Rumsby; Emma Thomas-Jones; Judith van der Voort; Cherry-Ann Waldron; Kim Harman; Kerenza Hood; Christopher C. Butler; Jonathan A C Sterne
Objectives To compare the validity of diagnosis of urinary tract infection (UTI) through urine culture between samples processed in routine health service laboratories and those processed in a research laboratory. Population and methods We conducted a prospective diagnostic cohort study in 4808 acutely ill children aged <5 years attending UK primary health care. UTI, defined as pure/predominant growth ≥105 CFU/mL of a uropathogen (the reference standard), was diagnosed at routine health service laboratories and a central research laboratory by culture of urine samples. We calculated areas under the receiver-operator curve (AUC) for UTI predicted by pre-specified symptoms, signs and dipstick test results (the “index test”), separately according to whether samples were obtained by clean catch or nappy (diaper) pads. Results 251 (5.2%) and 88 (1.8%) children were classified as UTI positive by health service and research laboratories respectively. Agreement between laboratories was moderate (kappa = 0.36; 95% confidence interval [CI] 0.29, 0.43), and better for clean catch (0.54; 0.45, 0.63) than nappy pad samples (0.20; 0.12, 0.28). In clean catch samples, the AUC was lower for health service laboratories (AUC = 0.75; 95% CI 0.69, 0.80) than the research laboratory (0.86; 0.79, 0.92). Values of AUC were lower in nappy pad samples (0.65 [0.61, 0.70] and 0.79 [0.70, 0.88] for health service and research laboratory positivity, respectively) than clean catch samples. Conclusions The agreement of microbiological diagnosis of UTI comparing routine health service laboratories with a research laboratory was moderate for clean catch samples and poor for nappy pad samples and reliability is lower for nappy pad than for clean catch samples. Positive results from the research laboratory appear more likely to reflect real UTIs than those from routine health service laboratories, many of which (particularly from nappy pad samples) could be due to contamination. Health service laboratories should consider adopting procedures used in the research laboratory for paediatric urine samples. Primary care clinicians should try to obtain clean catch samples, even in very young children.
Archive | 1996
Adrian G. Edwards; S. Granier; Judith van der Voort
EDITOR,—J H Beer and colleagues report false positive results for leucocyte esterase on urine analysis in patients concurrently using certain antibiotics.1 We have encountered false positive results for leucocyte esterase and nitrite on urine analysis. With Boehringer Mannheim, we are developing a kit for parents to use to test their childs urine for infection after they present their sick infant to primary care. By overcoming some difficulties encountered in primary care (for example, time constraints, availability of equipment) …
Cochrane Database of Systematic Reviews | 2011
Sharon Anne Simpson; Ruth Lewis; Judith van der Voort; Christopher Collett Butler
JAMA Pediatrics | 2001
Christopher Collett Butler; Judith van der Voort
Health Technology Assessment | 2016
Alastair D Hay; Kate Birnie; John Busby; Brendan Delaney; Harriet Downing; Jan Dudley; Stevo Durbaba; Margaret Fletcher; Kim Harman; William Hollingworth; Kerenza Hood; Robin Howe; Michael T. Lawton; Catherine Lisles; Paul Little; Alasdair P. MacGowan; Kathryn O'Brien; Timothy Pickles; Kate Rumsby; Jonathan A C Sterne; Emma Thomas-Jones; Judith van der Voort; Cherry-Ann Waldron; Penny F Whiting; Mandy Wootton; Christopher C. Butler
British Journal of General Practice | 2016
Christopher C. Butler; Jonathan A C Sterne; Michael T. Lawton; Kathryn O’Brien; Mandy Wootton; Kerenza Hood; William Hollingworth; Paul Little; Brendan 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 P. MacGowan; Margaret Fletcher; Alastair D Hay
British Journal of General Practice | 2016
Christopher C. Butler; Jonathan A C Sterne; Michael T. Lawton; Kathryn O'Brien; Mandy Wootton; Kerenza Hood; William Hollingworth; Paul Little; Brendan 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 P. MacGowan; Margaret Fletcher; Alastair D Hay