Systematic review and validation of prediction rules for identifying children with serious infections in emergency departments and urgent-access primary care

Thompson, M; Van den Bruel, A; Verbakel, J; Lakhanpaul, M; Haj-Hassan, T; Stevens, R; Moll, H; Buntinx, F; Berger, M; Aertgeerts, B; Oostenbrink, R; Mant, D

doi:10.3310/hta16150

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Study of prediction rules for serious childhood infection found that there are several clinical features which are helpful in diagnosing whether a child has a serious infection but that none on its own is sufficient. Clinical 'gut feeling' and diagnostic safety netting are used to fill this 'diagnostic gap'.

M Thompson, A Van den Bruel, J Verbakel, M Lakhanpaul, T Haj-Hassan, R Stevens, H Moll, F Buntinx, M Berger, B Aertgeerts, R Oostenbrink & D Mant.

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M Thompson ^1,^*, A Van den Bruel ¹, J Verbakel ², M Lakhanpaul ³, T Haj-Hassan ¹, R Stevens ¹, H Moll ⁴, F Buntinx ², M Berger ⁵, B Aertgeerts ², R Oostenbrink ⁴, D Mant ¹

¹ Department of Primary Care Health Sciences, Oxford University, Oxford, UK
² Department of General Practice, Katholieke Universiteit Leuven, Leuven, Belgium
³ Department of Paediatrics, Division of Medical Education and Social Care, University of Leicester, Leicester, UK
⁴ Department of Pediatrics, Erasmus MC-Sophia, Rotterdam, the Netherlands
⁵ Department of General Practice, Groningen, the Netherlands
^* Corresponding author Email: matthew.thompson@phc.ox.ac.uk

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