2011
DOI: 10.1136/adc.2010.183111
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Risk score to stratify children with suspected serious bacterial infection: observational cohort study

Abstract: ObjectivesTo derive and validate a clinical score to risk stratify children presenting with acute infection.Study design and participantsObservational cohort study of children presenting with suspected infection to an emergency department in England. Detailed data were collected prospectively on presenting clinical features, laboratory investigations and outcome. Clinical predictors of serious bacterial infection (SBI) were explored in multivariate logistic regression models using part of the dataset, each mod… Show more

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Cited by 40 publications
(70 citation statements)
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References 50 publications
(34 reference statements)
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“…For the YOS, three data sets had variables which were identical to the original Yale scoring (Berger et al, Brent et al 79 and Thompson et al…”
Section: Clinical Predictor Variables Included In Data Setsmentioning
confidence: 99%
See 3 more Smart Citations
“…For the YOS, three data sets had variables which were identical to the original Yale scoring (Berger et al, Brent et al 79 and Thompson et al…”
Section: Clinical Predictor Variables Included In Data Setsmentioning
confidence: 99%
“…11,28,29,60,72,79 Two had been collected in the UK, 29,79 four were from the Netherlands and one was from Belgium, 11 providing data on a total of 11,045 children. Two data sets had been collected from primary care, 11 the remainder from ED settings.…”
Section: Description Of Included Data Setsmentioning
confidence: 99%
See 2 more Smart Citations
“…Clinical prediction rules may, alongside guidelines, help physicians to identify children at low risk of disease. [19][20][21][22][23][24][25] The only clinical prediction rule developed for primary care specifically showed a promising high sensitivity and low negative likelihood ratio at derivation; 6 however, it lacked generalisability on external validation in other low-prevalence populations. 17 In addition, another study has shown that other clinical prediction rules developed for hospital emergency care were of limited use in the primary outof-hours care setting as well.…”
Section: Comparison With Existing Literaturementioning
confidence: 99%