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Personalised Risk Assessment in Febrile Illness to Optimise Real-life Management Across the European Union (PERFORM)

Personalised Risk Assessment in Febrile Illness to Optimise Real-life Management Across the European Union (PERFORM)

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03502993
Acronym
PERFORM
Enrollment
7247
Registered
2018-04-19
Start date
2016-06-02
Completion date
2021-12-31
Last updated
2023-10-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Fever, Infection, Inflammation

Keywords

children

Brief summary

Childhood fever is a prevalent problem. Most febrile children who visit hospital improve without treatment, but a minority require treatment, and a few will have severe disease. The investigators want to improve the diagnosis and management of febrile children by developing tests to distinguish between bacterial and viral disease so that antibiotic treatment can be initiated promptly and only when required. Judicious and prudent use of antibiotics will reduce the likelihood of developing resistant organisms and save treatment costs. The investigators will prospectively recruit acutely febrile children presenting to hospital, collecting research samples for validation of biomarkers, in combination with clinical phenotypic markers and host genetic markers (BIVA-studies). Any febrile child newborn to under 18 presenting to hospital will be eligible for recruitment. The study will last 5 years.

Detailed description

The problem to be addressed: Fever is among the commonest symptoms for which parents consult health care providers worldwide. Distinction between life-threatening bacterial infection and viral infection is clinically difficult, and many children worldwide receive unnecessary antibiotic treatment, or undergo invasive investigations and hospitalization, whilst bacterial infection is missed in others. Objective: The investigators aim to validate biomarkers that will identify children with bacterial infection, viral infection and inflammatory syndromes, using whole-blood RNA expression, proteomic and metabolomics signatures. The investigators aim to assess how efficacious these biomarkers would be if they formed the basis of a diagnostic test. Design: The investigators will use established case-control groups of febrile children presenting to hospital, recruited across Europe as part of previous (and current) ethically-approved studies, to discover signatures of febrile illness. The investigators will validate these signatures in samples prospectively collected from children as part of this observational study. The investigators will use prospective, observational BIVA studies to recruit febrile children with infectious and inflammatory diseases in order to validate diagnostic biomarkers. The investigators will also recruit non-febrile controls in order to discover and validate disease-specific biomarkers and to understand their biological significance. STUDY SIZE at least 4000 febrile children; PROCEDURES; Informed consent using age appropriate patient/parent/guardian information sheets will be taken from parents (or from children aged 16 and over), assent will be taken from the child under the age of 16 (if appropriate). Routine clinical and laboratory data and research samples from three timepoints (presentation, 48 hours after presentation, 28 days after admission). If patients present to hospital with fever on subsequent occasions, clinical data will be recorded and further research samples will be taken at those times. Samples; Blood, urine, stool (in the case of gastroenteritis), nasopharyngeal/throat swab CONTROLS: The investigators will collect samples from age-matched control patients will not have had a febrile illness, major trauma or vaccination within the previous three weeks and who are having routine blood sampling for reasons other than investigation of infectious or inflammatory disease. Control children may include critically ill children without infection or those with healthcare associated infections.

Interventions

DIAGNOSTIC_TESTValidation of biomarker

Sponsors

London School of Hygiene and Tropical Medicine
CollaboratorOTHER
University of Liverpool
CollaboratorOTHER
University of Newcastle Upon-Tyne
CollaboratorOTHER
Erasmus Medical Center
CollaboratorOTHER
Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
CollaboratorOTHER
National and Kapodistrian University of Athens
CollaboratorOTHER
Stichting Katholieke Universiteit
CollaboratorOTHER
University of Graz
CollaboratorOTHER
University of Ljubljana
CollaboratorOTHER
Riga Stradins University
CollaboratorOTHER
Medical Research Council Unit, The Gambia
CollaboratorOTHER
Ludwig-Maximilians - University of Munich
CollaboratorOTHER
University of Bern
CollaboratorOTHER
University of Oxford
CollaboratorOTHER
University Hospital, Paris
CollaboratorOTHER
University of Santiago de Compostela
CollaboratorOTHER
Servicio Gallego de Salud
CollaboratorOTHER_GOV
BioMérieux
CollaboratorINDUSTRY
Micropathology Ltd, University of Warwick
CollaboratorINDUSTRY
Imperial College London
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
No minimum to 17 Years
Healthy volunteers
Yes

Inclusion criteria

* All children \<18 years with fever \>38ºC, or a history of fever (within 3 days), in whom the attending clinician determines the need for blood sampling or whom parents give consent for bloods taken for research purposes * All children \<18 years suspected of infection, including the full spectrum of disease severity and co-morbidities. * Afebrile control children who are having blood tests for reasons other than for investigation of infectious or inflammatory illness.

Exclusion criteria

* Children from whom parent/legal guardian signed consent is not received * For healthy control children only: febrile illness or vaccination within the last 3 weeks.

Design outcomes

Primary

MeasureTime frameDescription
Number of Participants With Clinically-assigned Retrospective PhenotypeParticipants were monitored for outcome throughout their stay in hospital, and received follow-up review at 10 daysClinically-assigned retrospective phenotype, according to the cause of illness

Countries

United Kingdom

Participant flow

Participants by arm

ArmCount
BIVA Studies
A minimum of 3,000 children will be recruited to the BIVA-ED study, in order to capture sufficient children with confirmed bacterial infection. Additional children with less common febrile illnesses will also be recruited: 500 critically ill (BIVA-PIC); 200 at high-risk of bacterial illness through primary or secondary immunodeficiency (BIVA-HR); 150 with an inflammatory diagnosis, whose initial presentation is difficult to discriminate from bacterial infection (BIVA-INF). Samples collected from recruits in the BIVA studies will be used for the validation of biomarkers (clinical, proteomic and transcriptomic biomarkers) for diagnosis of febrile illness, including markers of bacterial and viral infection (confirmed by culture and/or molecular microbiology) and inflammatory conditions. Validation of biomarker
5,957
Controls for BIVA Studies
Age-matched control patients will not have had a febrile illness, major trauma or vaccination within the previous three weeks and who are having routine blood sampling for reasons other than investigation of infectious or inflammatory disease. Control children may include critically ill children without infection or those with healthcare associated infections. Where data was incomplete, patients were not included in the analysis - therefore the number analysed is not always 1290
1,290
Total7,247

Baseline characteristics

CharacteristicControls for BIVA StudiesBIVA StudiesTotal
Age, Customized
age on presentation
9.64 years4.57 years5.32 years
Co-morbidities leading to increased infection risk, BIVA studies43 participants446 participants489 participants
Race/Ethnicity, Customized
reported ethnicity/race
Afro-Carribean
5 Participants31 Participants36 Participants
Race/Ethnicity, Customized
reported ethnicity/race
Arabian Peninsula/Arab Middle East
9 Participants91 Participants100 Participants
Race/Ethnicity, Customized
reported ethnicity/race
East Asian
21 Participants61 Participants82 Participants
Race/Ethnicity, Customized
reported ethnicity/race
FULA
0 Participants97 Participants97 Participants
Race/Ethnicity, Customized
reported ethnicity/race
Gambian
0 Participants93 Participants93 Participants
Race/Ethnicity, Customized
reported ethnicity/race
Jewish
0 Participants7 Participants7 Participants
Race/Ethnicity, Customized
reported ethnicity/race
Mandinka
0 Participants194 Participants194 Participants
Race/Ethnicity, Customized
reported ethnicity/race
Mixed
17 Participants110 Participants127 Participants
Race/Ethnicity, Customized
reported ethnicity/race
Native South American
3 Participants18 Participants21 Participants
Race/Ethnicity, Customized
reported ethnicity/race
North African
7 Participants67 Participants74 Participants
Race/Ethnicity, Customized
reported ethnicity/race
North/Mid/East European
718 Participants2999 Participants3717 Participants
Race/Ethnicity, Customized
reported ethnicity/race
other
9 Participants46 Participants55 Participants
Race/Ethnicity, Customized
reported ethnicity/race
Other African
10 Participants13 Participants23 Participants
Race/Ethnicity, Customized
reported ethnicity/race
Other Asian
3 Participants3 Participants6 Participants
Race/Ethnicity, Customized
reported ethnicity/race
Other EU
1 Participants8 Participants9 Participants
Race/Ethnicity, Customized
reported ethnicity/race
Roma European
2 Participants115 Participants117 Participants
Race/Ethnicity, Customized
reported ethnicity/race
Serahule
0 Participants45 Participants45 Participants
Race/Ethnicity, Customized
reported ethnicity/race
South Asian Indian, Pakistani, Bangladeshi
20 Participants170 Participants190 Participants
Race/Ethnicity, Customized
reported ethnicity/race
South Asian Nepal
0 Participants3 Participants3 Participants
Race/Ethnicity, Customized
reported ethnicity/race
South East Asian
1 Participants30 Participants31 Participants
Race/Ethnicity, Customized
reported ethnicity/race
South European
384 Participants1209 Participants1593 Participants
Race/Ethnicity, Customized
reported ethnicity/race
Subsaharan Africa
9 Participants112 Participants121 Participants
Race/Ethnicity, Customized
reported ethnicity/race
Turkish
7 Participants44 Participants51 Participants
Race/Ethnicity, Customized
reported ethnicity/race
unknown
0 Participants146 Participants146 Participants
Race/Ethnicity, Customized
reported ethnicity/race
West Asian
11 Participants88 Participants99 Participants
Race/Ethnicity, Customized
reported ethnicity/race
WOLOF
0 Participants70 Participants70 Participants
Sex: Female, Male
Female
544 Participants2638 Participants3182 Participants
Sex: Female, Male
Male
695 Participants3319 Participants4014 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
50 / 5,9570 / 1,290
other
Total, other adverse events
0 / 5,9570 / 1,290
serious
Total, serious adverse events
120 / 5,9570 / 1,290

Outcome results

Primary

Number of Participants With Clinically-assigned Retrospective Phenotype

Clinically-assigned retrospective phenotype, according to the cause of illness

Time frame: Participants were monitored for outcome throughout their stay in hospital, and received follow-up review at 10 days

Population: Number of children with definite bacterial illness assessed by positive blood culture and/or positive culture of sample from sterile site

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
BIVA StudiesNumber of Participants With Clinically-assigned Retrospective Phenotype655 Participants
Controls for BIVA StudiesNumber of Participants With Clinically-assigned Retrospective Phenotype0 Participants

Source: ClinicalTrials.gov · Data processed: Feb 22, 2026