Fever, Infection, Inflammation
Conditions
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
Sponsors
Study design
Eligibility
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
| Measure | Time frame | Description |
|---|---|---|
| Number of Participants With Clinically-assigned Retrospective Phenotype | Participants were monitored for outcome throughout their stay in hospital, and received follow-up review at 10 days | Clinically-assigned retrospective phenotype, according to the cause of illness |
Countries
United Kingdom
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| 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 |
| Total | 7,247 |
Baseline characteristics
| Characteristic | Controls for BIVA Studies | BIVA Studies | Total |
|---|---|---|---|
| Age, Customized age on presentation | 9.64 years | 4.57 years | 5.32 years |
| Co-morbidities leading to increased infection risk, BIVA studies | 43 participants | 446 participants | 489 participants |
| Race/Ethnicity, Customized reported ethnicity/race Afro-Carribean | 5 Participants | 31 Participants | 36 Participants |
| Race/Ethnicity, Customized reported ethnicity/race Arabian Peninsula/Arab Middle East | 9 Participants | 91 Participants | 100 Participants |
| Race/Ethnicity, Customized reported ethnicity/race East Asian | 21 Participants | 61 Participants | 82 Participants |
| Race/Ethnicity, Customized reported ethnicity/race FULA | 0 Participants | 97 Participants | 97 Participants |
| Race/Ethnicity, Customized reported ethnicity/race Gambian | 0 Participants | 93 Participants | 93 Participants |
| Race/Ethnicity, Customized reported ethnicity/race Jewish | 0 Participants | 7 Participants | 7 Participants |
| Race/Ethnicity, Customized reported ethnicity/race Mandinka | 0 Participants | 194 Participants | 194 Participants |
| Race/Ethnicity, Customized reported ethnicity/race Mixed | 17 Participants | 110 Participants | 127 Participants |
| Race/Ethnicity, Customized reported ethnicity/race Native South American | 3 Participants | 18 Participants | 21 Participants |
| Race/Ethnicity, Customized reported ethnicity/race North African | 7 Participants | 67 Participants | 74 Participants |
| Race/Ethnicity, Customized reported ethnicity/race North/Mid/East European | 718 Participants | 2999 Participants | 3717 Participants |
| Race/Ethnicity, Customized reported ethnicity/race other | 9 Participants | 46 Participants | 55 Participants |
| Race/Ethnicity, Customized reported ethnicity/race Other African | 10 Participants | 13 Participants | 23 Participants |
| Race/Ethnicity, Customized reported ethnicity/race Other Asian | 3 Participants | 3 Participants | 6 Participants |
| Race/Ethnicity, Customized reported ethnicity/race Other EU | 1 Participants | 8 Participants | 9 Participants |
| Race/Ethnicity, Customized reported ethnicity/race Roma European | 2 Participants | 115 Participants | 117 Participants |
| Race/Ethnicity, Customized reported ethnicity/race Serahule | 0 Participants | 45 Participants | 45 Participants |
| Race/Ethnicity, Customized reported ethnicity/race South Asian Indian, Pakistani, Bangladeshi | 20 Participants | 170 Participants | 190 Participants |
| Race/Ethnicity, Customized reported ethnicity/race South Asian Nepal | 0 Participants | 3 Participants | 3 Participants |
| Race/Ethnicity, Customized reported ethnicity/race South East Asian | 1 Participants | 30 Participants | 31 Participants |
| Race/Ethnicity, Customized reported ethnicity/race South European | 384 Participants | 1209 Participants | 1593 Participants |
| Race/Ethnicity, Customized reported ethnicity/race Subsaharan Africa | 9 Participants | 112 Participants | 121 Participants |
| Race/Ethnicity, Customized reported ethnicity/race Turkish | 7 Participants | 44 Participants | 51 Participants |
| Race/Ethnicity, Customized reported ethnicity/race unknown | 0 Participants | 146 Participants | 146 Participants |
| Race/Ethnicity, Customized reported ethnicity/race West Asian | 11 Participants | 88 Participants | 99 Participants |
| Race/Ethnicity, Customized reported ethnicity/race WOLOF | 0 Participants | 70 Participants | 70 Participants |
| Sex: Female, Male Female | 544 Participants | 2638 Participants | 3182 Participants |
| Sex: Female, Male Male | 695 Participants | 3319 Participants | 4014 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | 50 / 5,957 | 0 / 1,290 |
| other Total, other adverse events | 0 / 5,957 | 0 / 1,290 |
| serious Total, serious adverse events | 120 / 5,957 | 0 / 1,290 |
Outcome results
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
| Arm | Measure | Value (COUNT_OF_PARTICIPANTS) |
|---|---|---|
| BIVA Studies | Number of Participants With Clinically-assigned Retrospective Phenotype | 655 Participants |
| Controls for BIVA Studies | Number of Participants With Clinically-assigned Retrospective Phenotype | 0 Participants |