Early Moves: a protocol for a population-based prospective cohort study to establish general movements as an early biomarker of cognitive impairment in infants. Issue 4 (9th April 2021)
- Record Type:
- Journal Article
- Title:
- Early Moves: a protocol for a population-based prospective cohort study to establish general movements as an early biomarker of cognitive impairment in infants. Issue 4 (9th April 2021)
- Main Title:
- Early Moves: a protocol for a population-based prospective cohort study to establish general movements as an early biomarker of cognitive impairment in infants
- Authors:
- Elliott, Catherine
Alexander, Caroline
Salt, Alison
Spittle, Alicia J
Boyd, Roslyn N
Badawi, Nadia
Morgan, Catherine
Silva, Desiree
Geelhoed, Elizabeth
Ware, Robert S
Ali, Alishum
McKenzie, Anne
Bloom, David
Sharp, Mary
Ward, Roslyn
Bora, Samudragupta
Prescott, Susan
Woolfenden, Susan
Le, Vuong
Davidson, Sue-Anne
Thornton, Ashleigh
Finlay-Jones, Amy
Jensen, Lynn
Amery, Natasha
Valentine, Jane - Other Names:
- author non-byline.
Valentine Jane author non-byline.
Salt Alison author non-byline.
Silva Desiree author non-byline.
Alexander Caroline author non-byline.
Amery Natasha author non-byline.
Coenen Arlette author non-byline.
Morie Rose author non-byline.
Moore Jennifer author non-byline.
OConnor Madeleine author non-byline.
Srinivasjois Ravisha author non-byline.
Tan Jason author non-byline.
Jongeling Brad author non-byline.
Downie Elayne author non-byline.
Last Ruth author non-byline.
Sharp Mary author non-byline.
Wray John author non-byline.
Davidson Sue-Anne author non-byline.
Thornton Ashleigh author non-byline. - Abstract:
- Abstract : Introduction: The current diagnostic pathways for cognitive impairment rarely identify babies at risk before 2 years of age. Very early detection and timely targeted intervention has potential to improve outcomes for these children and support them to reach their full life potential. Early Moves aims to identify early biomarkers, including general movements (GMs), for babies at risk of cognitive impairment, allowing early intervention within critical developmental windows to enable these children to have the best possible start to life. Method and analysis: Early Moves is a double-masked prospective cohort study that will recruit 3000 term and preterm babies from a secondary care setting. Early Moves will determine the diagnostic value of abnormal GMs (at writhing and fidgety age) for mild, moderate and severe cognitive delay at 2 years measured by the Bayley-4. Parents will use the Baby Moves smartphone application to video their babies' GMs. Trained GMs assessors will be masked to any risk factors and assessors of the primary outcome will be masked to the GMs result. Automated scoring of GMs will be developed through applying machine-based learning to the data and the predictive value for an abnormal GM will be investigated. Screening algorithms for identification of children at risk of cognitive impairment, using the GM assessment (GMA), and routinely collected social and environmental profile data will be developed to allow more accurate prediction ofAbstract : Introduction: The current diagnostic pathways for cognitive impairment rarely identify babies at risk before 2 years of age. Very early detection and timely targeted intervention has potential to improve outcomes for these children and support them to reach their full life potential. Early Moves aims to identify early biomarkers, including general movements (GMs), for babies at risk of cognitive impairment, allowing early intervention within critical developmental windows to enable these children to have the best possible start to life. Method and analysis: Early Moves is a double-masked prospective cohort study that will recruit 3000 term and preterm babies from a secondary care setting. Early Moves will determine the diagnostic value of abnormal GMs (at writhing and fidgety age) for mild, moderate and severe cognitive delay at 2 years measured by the Bayley-4. Parents will use the Baby Moves smartphone application to video their babies' GMs. Trained GMs assessors will be masked to any risk factors and assessors of the primary outcome will be masked to the GMs result. Automated scoring of GMs will be developed through applying machine-based learning to the data and the predictive value for an abnormal GM will be investigated. Screening algorithms for identification of children at risk of cognitive impairment, using the GM assessment (GMA), and routinely collected social and environmental profile data will be developed to allow more accurate prediction of cognitive outcome at 2 years. A cost evaluation for GMA implementation in preparation for national implementation will be undertaken including exploring the relationship between cognitive status and healthcare utilisation, medical costs, health-related quality of life and caregiver burden. Ethics and dissemination: Ethics approval has been granted by the Medical Research Ethics Committee of Joondalup Health Services and the Health Service Human Research Ethics Committee (1902) of Curtin University (HRE2019-0739). Trial registration number: ACTRN12619001422112. … (more)
- Is Part Of:
- BMJ open. Volume 11:Issue 4(2021)
- Journal:
- BMJ open
- Issue:
- Volume 11:Issue 4(2021)
- Issue Display:
- Volume 11, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 11
- Issue:
- 4
- Issue Sort Value:
- 2021-0011-0004-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-04-09
- Subjects:
- developmental neurology & neurodisability -- community child health -- paediatrics
Medicine -- Research -- Periodicals
610.72 - Journal URLs:
- http://www.bmj.com/archive ↗
http://bmjopen.bmj.com/ ↗ - DOI:
- 10.1136/bmjopen-2020-041695 ↗
- Languages:
- English
- ISSNs:
- 2044-6055
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17805.xml