Impact of a clinical decision rule on antibiotic prescription for children with suspected lower respiratory tract infections presenting to European emergency departments: a simulation study based on routine data

Author:

Hagedoorn Nienke N1,Wagenaar Josephine H L1,Nieboer Daan2,Bath David3,Von Both Ulrich45,Carrol Enitan D678,Eleftheriou Irini9,Emonts Marieke101112,Van Der Flier Michiel131415,De Groot Ronald1314,Herberg Jethro16,Kohlmaier Benno17,Levin Michael16,Lim Emma101112,Maconochie Ian18,Martinon-Torres Federico19,Nijman Ruud16,Pokorn Marko20,Rivero Calle Irene19,Tsolia Maria9,Yeung Shunmay321,Zavadska Dace22,Zenz Werner17,Vermont Clementien L23,Oostenbrink Rianne1,Moll Henriëtte A1ORCID,

Affiliation:

1. Department of General Paediatrics, Erasmus MC-Sophia Children’s Hospital, Rotterdam, The Netherlands

2. Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands

3. Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK

4. Division of Paediatric Infectious Diseases, Dr. von Hauner Children's Hospital, University Hospital, Ludwig-Maximilians-University, Munich, Germany

5. Partner site Munich, German Center for Infection Research (DZIF), Germany

6. Institute of Infection, Veterinary and Ecological Sciences Global Health Liverpool, University of Liverpool, UK

7. Alder Hey Children’s NHS Foundation Trust, Liverpool, UK

8. Liverpool Health Partners, Liverpool, UK

9. Second Department of Paediatrics, National and Kapodistrian University of Athens, P. & A. Kyriakou Children’s Hospital, Athens, Greece

10. Paediatric Immunology, Infectious Diseases & Allergy, Great North Children’s Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK

11. Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK

12. NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upon Tyne, UK

13. Paediatric Infectious Diseases and Immunology, Amalia Children's Hospital, Radboud University Medical Center, Nijmegen, The Netherlands

14. Section Paediatric Infectious Diseases, Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Nijmegen, The Netherlands

15. Paediatric Infectious Diseases and Immunology, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht, The Netherlands

16. Section of Paediatric Infectious Diseases, Imperial College London, London, UK

17. Department of General Paediatrics, Medical University of Graz, Graz, Austria

18. Paediatric Emergency Medicine, Imperial College Healthcare NHS Trust, London, UK

19. Genetics, Vaccines, Infections and Paediatrics Research Group (GENVIP), Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain

20. Department of Infectious Diseases, University Medical Centre Ljubljana, University of Ljubljana, Ljubljana, Slovenia

21. Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK

22. Department of Paediatrics, Children’s Clinical University Hospital, Rīgas Stradiņa universitāte, Riga, Latvia

23. Department of Paediatric Infectious diseases and Immunology, Erasmus MC-Sophia Children’s Hospital, Rotterdam, The Netherlands

Abstract

Abstract Background Discriminating viral from bacterial lower respiratory tract infections (LRTIs) in children is challenging thus commonly resulting in antibiotic overuse. The Feverkidstool, a validated clinical decision rule including clinical symptoms and C-reactive protein, safely reduced antibiotic use in children at low/intermediate risk for bacterial LRTIs in a multicentre trial at emergency departments (EDs) in the Netherlands. Objectives Using routine data from an observational study, we simulated the impact of the Feverkidstool on antibiotic prescriptions compared with observed antibiotic prescriptions in children with suspected LRTIs at 12 EDs in eight European countries. Methods We selected febrile children aged 1 month to 5 years with respiratory symptoms and excluded upper respiratory tract infections. Using the Feverkidstool, we calculated individual risks for bacterial LRTI retrospectively. We simulated antibiotic prescription rates under different scenarios: (1) applying effect estimates on antibiotic prescription from the trial; and (2) varying both usage (50%–100%) and compliance (70%–100%) with the Feverkidstool’s advice to withhold antibiotics in children at low/intermediate risk for bacterial LRTI (≤10%). Results Of 4938 children, 4209 (85.2%) were at low/intermediate risk for bacterial LRTI. Applying effect estimates from the trial, the Feverkidstool reduced antibiotic prescription from 33.5% to 24.1% [pooled risk difference: 9.4% (95% CI: 5.7%–13.1%)]. Simulating 50%–100% usage with 90% compliance resulted in risk differences ranging from 8.3% to 15.8%. Our simulations suggest that antibiotic prescriptions would be reduced in EDs with high baseline antibiotic prescription rates or predominantly (>85%) low/intermediate-risk children. Conclusions Implementation of the Feverkidstool could reduce antibiotic prescriptions in children with suspected LRTIs in European EDs.

Funder

EU’s Horizon 2020 research and innovation programme

National Institute for Health Research Biomedical Research Centres at Imperial College London

Newcastle Hospitals NHS Foundation Trust

Newcastle University

NHS

NIHR

Department of Health

NIHR Academic Clinical Fellowship award

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology,Microbiology (medical)

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