Literature DB >> 36243780

Febrile illness in high-risk children: a prospective, international observational study.

Fabian J S van der Velden1,2, Gabriella de Vries1,3, Alexander Martin1,2, Emma Lim1,4, Ulrich von Both5, Laura Kolberg5, Enitan D Carrol6,7, Aakash Khanijau6,7, Jethro A Herberg8, Tisham De8, Rachel Galassini8, Taco W Kuijpers9, Federico Martinón-Torres10,11,12, Irene Rivero-Calle10, Clementien L Vermont13, Nienke N Hagedoorn3, Marko Pokorn14, Andrew J Pollard15, Luregn J Schlapbach16, Maria Tsolia17, Irini Elefhteriou17, Shunmay Yeung18, Dace Zavadska19, Colin Fink20, Marie Voice20, Werner Zenz21, Benno Kohlmaier21, Philipp K A Agyeman22, Effua Usuf23, Fatou Secka23, Ronald de Groot24, Michael Levin8, Michiel van der Flier24,25, Marieke Emonts26,27,28.   

Abstract

To assess and describe the aetiology and management of febrile illness in children with primary or acquired immunodeficiency at high risk of serious bacterial infection, as seen in emergency departments in tertiary hospitals. Prospective data on demographics, presenting features, investigations, microbiology, management, and outcome of patients within the 'Biomarker Validation in HR patients' database in PERFORM, were analysed. Immunocompromised children (< 18 years old) presented to fifteen European hospitals in nine countries, and one Gambian hospital, with fever or suspected infection and clinical indication for blood investigations. Febrile episodes were assigned clinical phenotypes using the validated PERFORM algorithm. Logistic regression was used to assess the effect size of predictive features of proven/presumed bacterial or viral infection. A total of 599 episodes in 482 children were analysed. Seventy-eight episodes (13.0%) were definite bacterial, 67 episodes probable bacterial (11.2%), and 29 bacterial syndrome (4.8%). Fifty-five were definite viral (9.2%), 49 probable viral (8.2%), and 23 viral syndrome (3.8%). One hundred ninety were unknown bacterial or viral infections (31.7%), and 108 had inflammatory or other non-infectious causes of fever (18.1%). Predictive features of proven/presumed bacterial infection were ill appearance (OR 3.1 (95% CI 2.1-4.6)) and HIV (OR 10.4 (95% CI 2.0-54.4)). Ill appearance reduced the odds of having a proven/presumed viral infection (OR 0.5 (95% CI 0.3-0.9)). A total of 82.1% had new empirical antibiotics started on admission (N = 492); 94.3% proven/presumed bacterial (N = 164), 66.1% proven/presumed viral (N = 84), and 93.2% unknown bacterial or viral infections (N = 177). Mortality was 1.9% (N = 11) and 87.1% made full recovery (N = 522).   
Conclusion: The aetiology of febrile illness in immunocompromised children is diverse. In one-third of cases, no cause for the fever will be identified. Justification for standard intravenous antibiotic treatment for every febrile immunocompromised child is debatable, yet effective. Better clinical decision-making tools and new biomarkers are needed for this population. What is Known: • Immunosuppressed children are at high risk for morbidity and mortality of serious bacterial and viral infection, but often present with fever as only clinical symptom. • Current diagnostic measures in this group are not specific to rule out bacterial infection, and positivity rates of microbiological cultures are low. What is New: • Febrile illness and infectious complications remain a significant cause of mortality and morbidity in HR children, yet management is effective. • The aetiology of febrile illness in immunocompromised children is diverse, and development of pathways for early discharge or cessation of intravenous antibiotics is debatable, and requires better clinical decision-making tools and biomarkers.
© 2022. The Author(s).

Entities:  

Keywords:  Antibiotics; Fever; Immunocompromised; Infection; Paediatric

Year:  2022        PMID: 36243780     DOI: 10.1007/s00431-022-04642-1

Source DB:  PubMed          Journal:  Eur J Pediatr        ISSN: 0340-6199            Impact factor:   3.860


  42 in total

1.  Diagnostic accuracy of lipopolysaccharide-binding protein for predicting bacteremia/clinical sepsis in children with febrile neutropenia: comparison with interleukin-6, procalcitonin, and C-reactive protein.

Authors:  Lidija Kitanovski; Janez Jazbec; Sergej Hojker; Metka Derganc
Journal:  Support Care Cancer       Date:  2013-09-21       Impact factor: 3.603

2.  Pediatric Febrile Neutropenia: Change in Etiology of Bacteremia, Empiric Choice of Therapy and Clinical Outcomes.

Authors:  Muayad Alali; Michael Z David; Lara A Danziger-Isakov; Lena Elmuti; Palak H Bhagat; Allison H Bartlett
Journal:  J Pediatr Hematol Oncol       Date:  2020-08       Impact factor: 1.289

Review 3.  Infections in patients with febrile neutropenia: epidemiology, microbiology, and risk stratification.

Authors:  Claudio Viscoli; Oliviero Varnier; Marco Machetti
Journal:  Clin Infect Dis       Date:  2005-04-01       Impact factor: 9.079

4.  Risk Factors of Serious Bacterial Infection in Previously Healthy Children Older Than 90 Days Old With Fever and Neutropenia.

Authors:  Andrea Mora-Capín; Jorge Lorente-Romero; Alicia Hernanz-Lobo; Arístides Rivas-García; Paula Vázquez-López; Paula Carrascosa-García; Andrés González-Hermosa; Juncal Mena-Huarte; María Amalia Pérez-Saez; Gemma Nadal; Irene García-de-Diego; Rafael Marañón-Pardillo
Journal:  Pediatr Emerg Care       Date:  2022-05-24       Impact factor: 1.454

5.  The accuracy of clinical symptoms and signs for the diagnosis of serious bacterial infection in young febrile children: prospective cohort study of 15 781 febrile illnesses.

Authors:  Jonathan C Craig; Gabrielle J Williams; Mike Jones; Miriam Codarini; Petra Macaskill; Andrew Hayen; Les Irwig; Dominic A Fitzgerald; David Isaacs; Mary McCaskill
Journal:  BMJ       Date:  2010-04-20

6.  A prospective study on the epidemiology of febrile episodes during chemotherapy-induced neutropenia in children with cancer or after hemopoietic stem cell transplantation.

Authors:  Elio Castagnola; Vincenzo Fontana; Ilaria Caviglia; Silvia Caruso; Maura Faraci; Francesca Fioredda; Maria Luisa Garrè; Cristina Moroni; Massimo Conte; Giuseppe Losurdo; Franca Scuderi; Roberto Bandettini; Paolo Tomà; Claudio Viscoli; Riccardo Haupt
Journal:  Clin Infect Dis       Date:  2007-10-05       Impact factor: 9.079

7.  Diagnostic Accuracy of Interleukin-6, Interleukin-8, and Interleukin-10 for Predicting Bacteremia in Children with Febrile Neutropenia.

Authors:  Zümrüt Şahbudak Bal; Nihal Karadaş Özdemir; Semra Şen; Deniz Yılmaz Karapınar; Elif Azarsız; Şöhret Aydemir; Fadıl Vardar
Journal:  Turk J Haematol       Date:  2017-02-01       Impact factor: 1.831

8.  Febrile children with comorbidities at the emergency department - a multicentre observational study.

Authors:  Dorine M Borensztajn; Nienke N Hagedoorn; Enitan D Carrol; Ulrich von Both; Marieke Emonts; Michiel van der Flier; Ronald de Groot; Jethro Herberg; Benno Kohlmaier; Michael Levin; Emma Lim; Ian K Maconochie; Federico Martinon-Torres; Ruud G Nijman; Marko Pokorn; Irene Rivero-Calle; Maria Tsolia; Fabian J S van der Velden; Clementien Vermont; Dace Zavadska; Werner Zenz; Joany M Zachariasse; Henriette A Moll
Journal:  Eur J Pediatr       Date:  2022-07-07       Impact factor: 3.860

9.  Life-threatening infections in children in Europe (the EUCLIDS Project): a prospective cohort study.

Authors:  Federico Martinón-Torres; Antonio Salas; Irene Rivero-Calle; Miriam Cebey-López; Jacobo Pardo-Seco; Jethro A Herberg; Navin P Boeddha; Daniela S Klobassa; Fatou Secka; Stephane Paulus; Ronald de Groot; Luregn J Schlapbach; Gertjan J Driessen; Suzanne T Anderson; Marieke Emonts; Werner Zenz; Enitan D Carrol; Michiel Van der Flier; Michael Levin
Journal:  Lancet Child Adolesc Health       Date:  2018-04-28

10.  Predictive value of PCT and IL-6 for bacterial infection in children with cancer and febrile neutropenia.

Authors:  Hilde T van der Galiën; Erik A H Loeffen; Karin G E Miedema; Wim J E Tissing
Journal:  Support Care Cancer       Date:  2018-05-19       Impact factor: 3.603

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