Clinical trial NCT05742490: Neonatal Infection Surveillance Database
Official title: Neonatal Infection Surveillance Database
Study type: OBSERVATIONAL
Overall status: RECRUITING
Conditions: Neonatal Infection
Lead sponsor: St George's, University of London
Sponsor class: OTHER
First posted: 2023-02-24
Enrollment: 12000
Sex: ALL
Minimum age (years): 1
Maximum age (years): 12
Standard ages: CHILD
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Eligible infants will be identified from Neonatal Units

Brief summary: NeonIN is a is a neonatal infection surveillance database which will facilitate active surveillance for bacterial infections through a network of neonatal units, using standardised definitions, proformas and microbiological techniques. The centralised and secure web-based database will allow real-time entry of data and rapid and timely analysis of results.

Detailed description: The neonIN surveillance network captures data on episodes of invasive neonatal infection on a web-based database (www.neonin.org.uk). Over 25 UK neonatal units currently contribute to this database in real-time. An episode of neonatal infection is defined as a positive culture collected from a normally sterile site such as the blood, cerebrospinal fluid (CSF) or urine (via catheter or suprapubic aspirate) for which clinicians prescribed at least five days of appropriate antibiotics. Clinical, demographic and microbiological data (including antimicrobial susceptibilities) are collected using a standardised online questionnaire, and denominator data regarding the total number of live-births and neonatal-admissions are collected for each neonatal unit.

Eligibility criteria: Inclusion Criteria:

* Infants on participating Neonatal Units who have an episode of infection with a positive culture

Exclusion Criteria:

-

Primary outcomes:
measure: Incidence of infection
timeFrame: 6 months
measure: Antibiotic susceptibility
timeFrame: 6 months
measure: Features of bacterial infections
timeFrame: 6 months
Secondary outcomes:
Other outcomes:
Locations:
city: London
country: United Kingdom
facility: St George's University of London
Study officials:
affiliation: St George's, University of London
name: Eva Galiza, MD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Gkentzi D, Kortsalioudaki C, Cailes BC, Zaoutis T, Kopsidas J, Tsolia M, Spyridis N, Siahanidou S, Sarafidis K, Heath PT, Dimitriou G; Neonatal Infection Surveillance Network in Greece. Epidemiology of infections and antimicrobial use in Greek Neonatal Units. Arch Dis Child Fetal Neonatal Ed. 2019 May;104(3):F293-F297. doi: 10.1136/archdischild-2018-315024. Epub 2018 Jun 28.
citation: Wang J, Kortsalioudaki C, Heath PT, Buttery J, Clarke P, Gkentzi D, Anthony M, Tan K; neonIN network. Epidemiology and healthcare factors associated with neonatal enterococcal infections. Arch Dis Child Fetal Neonatal Ed. 2019 Sep;104(5):F480-F485. doi: 10.1136/archdischild-2018-315387. Epub 2018 Nov 13.
citation: Cailes B, Kortsalioudaki C, Buttery J, Pattnayak S, Greenough A, Matthes J, Bedford Russell A, Kennea N, Heath PT; neonIN network. Antimicrobial resistance in UK neonatal units: neonIN infection surveillance network. Arch Dis Child Fetal Neonatal Ed. 2018 Sep;103(5):F474-F478. doi: 10.1136/archdischild-2017-313238. Epub 2017 Oct 26.
citation: Cailes B, Kortsalioudaki C, Buttery J, Pattnayak S, Greenough A, Matthes J, Bedford Russell A, Kennea N, Heath PT; neonIN network. Epidemiology of UK neonatal infections: the neonIN infection surveillance network. Arch Dis Child Fetal Neonatal Ed. 2018 Nov;103(6):F547-F553. doi: 10.1136/archdischild-2017-313203. Epub 2017 Dec 5.
citation: Sapuan S, Kortsalioudaki C, Anthony M, Chang J, Embleton ND, Geethanath RM, Gray J, Greenough A, Lal MK, Luck S, Pattnayak S, Reynolds P, Russell AB, Scorrer T, Turner M, Heath PT, Vergnano S. Neonatal listeriosis in the UK 2004-2014. J Infect. 2017 Mar;74(3):236-242. doi: 10.1016/j.jinf.2016.11.007. Epub 2016 Nov 17.