Optimizing Nutrition and Milk (Opti-NuM) Project (Opti-NuM)

March 6, 2025 updated by: Deborah O'Connor, The Hospital for Sick Children

Improving Growth and Neurodevelopment of Very Low Birth Weight Infants Through Precision Nutrition: the Optimizing Nutrition and Milk (Opti-NuM) Project

Early nutrition critically influences growth, neurodevelopment and morbidity among infants born of very low birth weight (VLBW), but current one-size-fits-all feeding regimes do not optimally support these vulnerable infants. There is increasing interest in "precision nutrition" approaches, but it is unclear which Human Milk (HM) components require personalized adjustment of doses. Previous efforts have focused on macronutrients, but HM also contains essential micronutrients as well as non-nutrient bioactive components that shape the gut microbiome. Further, it is unclear if or how parental factors (e.g. body mass index, diet) and infant factors (e.g. genetics, gut microbiota, sex, acuity) influence relationships between early nutrition and growth, neurodevelopment and morbidity. Understanding these complex relationships is paramount to developing effective personalized HM feeding strategies for VLBW infants. This is the overarching goal of the proposed Optimizing Nutrition and Milk (Opti-NuM) Project.

The Opti-NuM Project brings together two established research platforms with complementary expertise and resources: 1) the MaxiMoM Program* with its clinically embedded translational neonatal feeding trial network in Toronto (Dr. Deborah O'Connor, Dr. Sharon Unger) and 2) the International Milk Composition (IMiC) Consortium, a world-renowned multidisciplinary network of HM researchers and data scientists collaborating to understand how the myriad of HM components contribute "as a whole" to infant growth and development, using systems biology and machine learning approaches. Members of the IMiC Corsortium that will work with on this study are located at the University of Manitoba (Dr. Meghan Azad), University of California (Dr. Lars Bode) and Stanford (Dr. Nima Aghaeepour).

Study Overview

Detailed Description

Observational study mode:

The Opti-NuM Project is a retrospective secondary data/sample use study.

Time perspective:

Secondary use data and biospecimens accruing from the 2 completed studies DoMINO and OptiMOM (NCT02137473) and 1 ongoing RCT MaxiMoM (NCT05308134) are included in this project.

Sampling method:

This project is a secondary use of data/samples, from a cohort consisting of participants of the MaxiMoM Platform RCTs.

Study Type

Observational

Enrollment (Estimated)

1100

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Manitoba
      • Winnipeg, Manitoba, Canada, R3E 3P4
        • Active, not recruiting
        • University of Manitoba
    • Ontario
      • Toronto, Ontario, Canada, M4N 3M5
        • Recruiting
        • Sunnybrook Health Sciences Centre
        • Contact:
        • Contact:
        • Contact:
          • Eugene Ng, MD, FRCPC, FAAP
      • Toronto, Ontario, Canada, M5G 1X5
      • Toronto, Ontario, Canada, M5G 0A4
        • Active, not recruiting
        • The Hospital for Sick Children
    • California
      • Palo Alto, California, United States, 94304-1212
        • Active, not recruiting
        • Stanford University
      • San Diego, California, United States, 92093-0715
        • Active, not recruiting
        • University of California - San Diego

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Very Low Birth Weight infants

Description

Inclusion Criteria:

• Secondary data and biospecimens from participants of the MaxiMoM Platform RCTs

Exclusion Criteria:

• Data and biospecimens from infants who are not enrolled in the three trials are eligible for this project.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Participants of the MaxiMoM Platform Trials
Secondary data use and biospecimens from participants of the MaxiMoM Platform Trials are infants born 1500g or less (infant weight), born in the Greater Toronto Area.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Cognitive composite score on the Bayley Scales of Infant and Toddler Development.
Time Frame: At 18-24 months CA

Our primary outcome is the cognitive composite score on the Bayley Scales of Infant and Toddler Development collected from the medical record or by home-visit by our research staff. The Bayley is the most widely used instrument globally by clinicians and researchers to assess developmental functioning of infants, toddlers and young children across cognitive, language (receptive, expressive) and motor (fine, gross) domains. Cognitive, language and motor composite scores will be standardized to a mean of 100 with a standard deviation of 15.

The range on the composite Bayle Scores is from less than 0.1 to more than 99.9 percentile. A score lower than the 10th percentile indicates developmental delay.

At 18-24 months CA

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Language composite score from the Bayley Scales of Infant and Toddler Development
Time Frame: At 18-24 months CA
Language composite score from the Bayley Scales of Infant and Toddler Development. The range on the composite Bayle Scores is from less than 0.1 to more than 99.9 percentile. A score lower than the 10th percentile indicates developmental delay.
At 18-24 months CA
Motor composite score from the Bayley Scales of Infant and Toddler Development
Time Frame: At 18-24 months CA
Motor composite score from the Bayley Scales of Infant and Toddler Development. The range on the composite Bayle Scores is from less than 0.1 to more than 99.9 percentile. A score lower than the 10th percentile indicates developmental delay.
At 18-24 months CA
Weight (g)
Time Frame: Initial hospitalization, approximately 50 days; at 4 months and 18-24 months CA clinic visit.
Weight gains serve as early indicators of the effectiveness of early nutrition and are on the causal pathway to neurodevelopment. Daily weights are prospectively extracted from medical records.
Initial hospitalization, approximately 50 days; at 4 months and 18-24 months CA clinic visit.
Length (cm)
Time Frame: Initial hospitalization, approximately 50 days; at 4 months and 18-24 months CA clinic visit.
Length gains serve as early indicators of the effectiveness of early nutrition and are on the causal pathway to neurodevelopment. Weekly length is determined by research staff using length boards and standardized procedures.
Initial hospitalization, approximately 50 days; at 4 months and 18-24 months CA clinic visit.
Head circumference (cm)
Time Frame: Initial hospitalization, approximately 50 days; at 4 months and 18-24 months CA clinic visit.
Head circumference (HC) gains serve as early indicators of the effectiveness of early nutrition and are on the causal pathway to neurodevelopment. Weekly HC measurements are determined by research staff using non-stretchable tape measures and standardized procedures.
Initial hospitalization, approximately 50 days; at 4 months and 18-24 months CA clinic visit.
Serious morbidities
Time Frame: During hospital stay, an average of 60 days.
Serious morbidities including late-onset sepsis (>day 5, positive blood or cerebrospinal fluid culture), NEC (Bell stage ≥II), chronic lung disease (respiratory support at 36 weeks) and retinopathy of prematurity requiring treatment are collected prospectively from the medical chart.
During hospital stay, an average of 60 days.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 1, 2010

Primary Completion (Estimated)

December 1, 2026

Study Completion (Estimated)

December 1, 2027

Study Registration Dates

First Submitted

February 3, 2025

First Submitted That Met QC Criteria

March 6, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

March 6, 2025

Last Verified

March 1, 2025

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 4842 (Duke legacy protocol number)
  • 5R01HD111018-03 (U.S. NIH Grant/Contract)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

Data transfer will take place via Secure File Transfer Protocol (SFTP). Sub-agreements which cover data and sample sharing and confidentiality is in place.

IPD Sharing Time Frame

December 2024 to December 2027

IPD Sharing Access Criteria

During the Opti-NuM project the following institutions will be involved in data and sample analysis as indicated. Data sharing will take place through SFTP, bio specimens will be shipped for analyses.

  • The Hospital for Sick Children (Lead, Deborah O'Connor PhD RD): Both data and sample analysis
  • The University of Toronto (Lead, Deborah O'Connor PhD RD): Both data and sample analysis
  • The University of Manitoba (Lead, Meghan Azad PhD): Data analysis; No sample analysis
  • Stanford University (Lead, Nima Aghaeepour PhD): Data analysis; No sample analysis
  • University of California (Lead, Lars Bode PhD): Oligosaccharide analysis of human milk samples only. No data provided to this site.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ANALYTIC_CODE

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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