CClinicalTrials.gg
CompletedNCT02431780ANSeRUpdated Dec 11, 2023

A Multicentre Clinical Investigation of a Decision Support Algorithm for Neonatal Seizure Detection

An interventional study of ANSeR Software System in Seizures, Brain Diseases and Central Nervous System Diseases, sponsored by University College Cork. Completed at 8 sites in 4 countries. Open to participants aged 36 Weeks to 44 Weeks. Per ClinicalTrials.gov, last updated 2023-12-11.

Sponsored by University College Cork · Not applicable, Interventional, and Other

Phase
Not applicable
Study type
Interventional
Enrollment
264
Allocation
Randomized
Ages
36 Weeks to 44 Weeks
Sex
All
01

Study summary

The ANSeR Clinical Investigation is a multi-centre, randomised, controlled, clinical investigation of a standalone decision support Algorithm for Neonatal Seizure Recognition, the ANSER Software system.

Read the detailed description

This will be an open, two arm, parallel group, randomised, controlled investigation of the ANSeR Software System as a stand-alone neonatal seizure recognition decision support tool. Term neonates requiring EEG monitoring will be stratified by recruiting site and then randomised to receive either EEG monitoring with the ANSeR Software System or EEG monitoring without the ANSeR Software System.

It is proposed that the rate of true detections (sensitivity) of investigation personnel using the ANSeR Software System in clinical practice will be at least 25% higher than that of investigation personnel not using the ANSeR Software System in routine clinical practice. In addition we expect the specificity of investigation personnel using the ANSeR Software System to be no worse than 10% less than that of investigation personnel not using the ANSeR Software System. This should result in more appropriate and timely use of antiepileptic drugs (AED).

Randomisation Immediately following enrolment in the investigation, each participant will be randomly assigned to receive either EEG monitoring with the ANSeR Software System or without the ANSeR Software System. Randomisation will be stratified by recruiting site with a 1:1 allocation ratio to each group. Block randomisation with varying block sizes will be used and the randomisation and allocation will be performed centrally using a web-based electronic system.

Blinding As this is an investigation of a medical device (software), the investigation personnel will be aware of which group the participant is assigned to. The expert panel who are the diagnostic reference standard will be blinded to group allocation. The biostatistician will also be blinded to group allocation during the analysis of the data.

02

Conditions studied

  • Seizures
  • Brain Diseases
  • Central Nervous System Diseases
  • Epilepsy
  • Nervous System Diseases
  • Neurologic Manifestations

Keywords

  • Neonatal Seizures
  • Decision Support Algorithm
  • EEG
03

In context

Seizures

881 studies on the registry are indexed under Seizures; 143 are open to participants now.

This study's enrollment of 264 is above the median of 64 across 610 interventional studies indexed under Seizures.

Browse Seizures studies →

Lead sponsor

University College Cork is the lead sponsor of 116 studies on the registry; 23 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
36 Weeks to 44 Weeks
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Neonates 36 weeks - 44 weeks corrected gestational age in whom EEG monitoring is indicated because they are deemed to be

    • at high risk of seizures or
    • are experiencing seizures

Exclusion criteria

Exclusion Criteria:

    • No parental/guardian consent
05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
264 participants (actual)

Study arms

  • No intervention
    non ANSeR Software System

    Routine clinical EEG monitoring

  • Experimental
    ANSeR Software System

    The intended use of the ANSeR Software System is to provide a real time decision support tool to assist in the diagnosis of seizures in neonates (between 36 weeks and 44 weeks corrected age) and to provide a review tool for EEG and seizure analysis. ANSeR is intended to provide a reliable, effective, objective and intuitive means of identifying seizures

    Device: ANSeR Software System

Interventions

  • DeviceANSeR Software System

    ANSeR Software System a stand alone, software medical device for Neonatal seizure decision support tool

06

What researchers measure

Primary outcomes

  1. The Seizure Detection Rate for all Neonates enrolled in the investigation arm compared to Seizure Detection Rate for all Neonates in the control arm.

    The rate of true seizure detection (sensitivity), as recorded on a Seizure Record form, 25% superior in the investigation arm compared to the control group (usual clinical practice). The Expert Committee will be used as the diagnostic reference standard.

    Time frame: 12-18 months

  2. The False Detections per hour (sensitivity) for all Neonates enrolled in the investigation arm compared to the False Detection Rate for all Neonates in the control arm.

    The False Detections per hour (specificity), as recorded on a Seizure Record form, 10% superior in the investigation arm compared to the control group (usual clinical practice). The Expert Committee will be used as the diagnostic reference standard.

    Time frame: 12-18 months

Secondary outcomes

  1. Seizure burden (min) for all Neonates enrolled in the investigation arm compared to Seizure burden (min) for all Neonates in the control arm.

    To quantify seizure burden (min) in the investigation arm and control arm.

    Time frame: 12-18 months

  2. Number of Neonates administered Anti-epileptic drug (AED) in the investigation arm compared to Number of Neonates administered Anti-epileptic drug (AED) in the control arm.

    Time frame: 12-18 months

07

Study locations

8 sites
  • Cork University Maternity Hospital
    Wilton, Cork, Ireland
  • Rotunda Maternity Hospital
    Dublin, Ireland
  • University Medical Centre Utrecht, Wilhelmina Children's Hospital
    Utrecht, KE 04.123.1, Po Box 85090, Netherlands
  • Karolinska Institutet and University Hospital
    Huddinge, Stockholm K78 141 86, Sweden
  • Barts and the London NHS Trust,
    London, E1 1BB, United Kingdom
  • The London and Homerton Hospital
    London, E9 6SR., United Kingdom
  • University College London Hospitals NHS Foundation Trust
    London, NW1 2BU, United Kingdom
  • Great Ormond Street Hospital
    London, WC1N3JH, United Kingdom
08

References and documents

Publications

  • Pavel AM, Rennie JM, de Vries LS, Blennow M, Foran A, Shah DK, Pressler RM, Kapellou O, Dempsey EM, Mathieson SR, Pavlidis E, van Huffelen AC, Livingstone V, Toet MC, Weeke LC, Finder M, Mitra S, Murray DM, Marnane WP, Boylan GB. A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial. Lancet Child Adolesc Health. 2020 Oct;4(10):740-749. doi: 10.1016/S2352-4642(20)30239-X. Epub 2020 Aug 27. PubMed 32861271 ↗
  • Pavel AM, O'Toole JM, Proietti J, Livingstone V, Mitra S, Marnane WP, Finder M, Dempsey EM, Murray DM, Boylan GB; ANSeR Consortium. Machine learning for the early prediction of infants with electrographic seizures in neonatal hypoxic-ischemic encephalopathy. Epilepsia. 2023 Feb;64(2):456-468. doi: 10.1111/epi.17468. Epub 2022 Dec 20. PubMed 36398397 ↗
  • Pavel AM, Mathieson SR, Livingstone V, O'Toole JM, Pressler RM, de Vries LS, Rennie JM, Mitra S, Dempsey EM, Murray DM, Marnane WP, Boylan GB; ANSeR Consortium. Heart rate variability analysis for the prediction of EEG grade in infants with hypoxic ischaemic encephalopathy within the first 12 h of birth. Front Pediatr. 2023 Jan 4;10:1016211. doi: 10.3389/fped.2022.1016211. eCollection 2022. PubMed 36683815 ↗
  • Pavel AM, Rennie JM, de Vries LS, Blennow M, Foran A, Shah DK, Pressler RM, Kapellou O, Dempsey EM, Mathieson SR, Pavlidis E, Weeke LC, Livingstone V, Murray DM, Marnane WP, Boylan GB. Neonatal Seizure Management: Is the Timing of Treatment Critical? J Pediatr. 2022 Apr;243:61-68.e2. doi: 10.1016/j.jpeds.2021.09.058. Epub 2021 Oct 7. PubMed 34626667 ↗
09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Dec 11, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT02431780
Lead sponsor
University College Cork
Collaborators
University College, London, Wellcome Trust
Responsible party
Professor Geraldine Boylan (Professor, University College Cork) — Principal investigator
First posted
May 1, 2015
Start date
Feb 12, 2015
Primary completion
Feb 7, 2017
Completion
Feb 7, 2017
Last update
Dec 11, 2023

Study contacts

Janet Rennie, Doctor
principal investigator · University College London Hospitals
Geraldine Boylan, PhD
principal investigator · University College Cork, Cork, Ireland

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Dec 2023. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion