NCT01774318

Brief Summary

Due to the development of neonatal intensive care the number of surviving premature infants increased significantly. The immature brain undergoes a fair amount of external stimuli, which have a great impact on later cognitive development. Increasingly data show, that a delayed emergence of sleep-wake-cycling in newborns can be the first sign of brain injury. Studies have shown that clearly defined sleep states can be identified from 31-32 weeks of gestation onwards. But a few studies show, that also extremely premature infants already show cyclical variations of the background pattern within amplitude-integrated EEG (aEEG= a time-compressed, simplified EEG) and conventional EEG. This might resemble early sleep-wake-states and their presence correlates to the integrity of the central nervous system, although no clearly defined "sleep states" according to the classical definition can be identified. Complex EEG analysis needs the use of automated methods to exclude personal bias and to ensure gestational age specific data analysis. The newly developed NLEO algorithm was specially designed for EEG analysis of premature infants. Conventional EEG within this study will be analyzed visually and with the automated algorithm. In our research project we will study the emergence of Sleep-wake-cycling in extremely premature infants and its impact on their neurodevelopmental outcome prospectively. The different sleep and wake states will be derived from analysis of the conventional Video-EEG, aEEG and polysomnographic measurements. Visual analysis will include assessment of amplitudes and frequencies as well as the latencies and durations of EEG-Bursts and Interburst intervals. The automated NLEO-algorithm will be firstly used for comparison with above described visual analysis and secondly to find regions of interest involved in the organization of these early sleep states. The aim of this study is first to understand and analyze in detail the emergence of sleep-wake cycling including its disturbances in premature infants and to compare automated NLEO algorithm to conventional visual analysis methods. Secondly to correlate neurodevelopmental outcome to the emergence of sleep-wake-cycling.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
60

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Feb 2012

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Start

First participant enrolled

February 1, 2012

Completed
11 months until next milestone

First Submitted

Initial submission to the registry

January 4, 2013

Completed
20 days until next milestone

First Posted

Study publicly available on registry

January 24, 2013

Completed
1.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2014

Completed
2 years until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2016

Completed
Last Updated

January 24, 2013

Status Verified

January 1, 2013

Enrollment Period

2.8 years

First QC Date

January 4, 2013

Last Update Submit

January 20, 2013

Conditions

Keywords

sleep-wake-cyclespreterm infantsaEEGconventional EEGpolysomnography

Outcome Measures

Primary Outcomes (1)

  • description of Sleep-wake-cycles in aEEG and conventional EEG

    parallel assessment of sleep-wake cycles in aEEG and conventional EEG

    2 years

Secondary Outcomes (1)

  • Correlation of occurrance of sleep-wake-cycles to neurodevelopmental outcome

    4 years

Study Arms (1)

preterm cohort

OTHER

preterm infants born at medical university of vienna and born at gestational age 23+0 - 28+6 weeks of gestation intervention: aEEG and conventional EEG measurements will be performed every two weeks untill 36 weeks of gestation

Other: aEEG and conventional EEG measurement

Interventions

aEEG and conventional EEG measurement including video-polysomnography

preterm cohort

Eligibility Criteria

Age23 Weeks - 29 Weeks
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17)

You may not qualify if:

  • severe cerebral malformation

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Medical University Vienna

Vienna, Vienna, 1090, Austria

RECRUITING

MeSH Terms

Conditions

Sleep Disorders, Circadian Rhythm

Condition Hierarchy (Ancestors)

Chronobiology DisordersNervous System DiseasesDyssomniasSleep Wake DisordersOccupational DiseasesMental Disorders

Study Officials

  • Katrin Klebermass-Schrehof, MD

    Medical University of Vienna

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
SUPPORTIVE CARE
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
MD

Study Record Dates

First Submitted

January 4, 2013

First Posted

January 24, 2013

Study Start

February 1, 2012

Primary Completion

December 1, 2014

Study Completion

December 1, 2016

Last Updated

January 24, 2013

Record last verified: 2013-01

Locations