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Enrolling by Invitation

NCT Number: NCT06303986

Study to Collect Data for Neonatal Abstinence Syndrome (NAS) and Evaluate the Automated Data Collection Process

Substance abuse during pregnancy is on the rise through both prescribed and illicit use of controlled substances, which has increased neonatal abstinence syndrome (NAS). The prevalence of opioid use during pregnancy has increased by 333% from 2013 to 2014 and continues to rise. Approximately 1 in 3 women were prescribed opioids during pregnancy from 2008 to 2012. In the US, NAS was diagnosed every 25 minutes in 2014. By 2019, it became every 15 minutes. Although there are medication-based interventions for the treatment of NAS, used in up to 80% of opioid-exposed infants, these treatments carry risks of toxicity and drug interactions. Despite the steep medical costs and the risks of treatment, current tools to assess the severity of NAS are subjective and suffer from examiner bias, resulting in poorer clinical outcomes, such as longer lengths of stay in the Neonatal Intensive Care Unit (NICU), for these babies. Studies have shown that continuous vital sign monitoring improves outcomes and decreases the length of stay in general practice. Preliminary machine learning models have been able to predict pharmacological treatment for Neonatal Opioid Withdrawal Syndrome (NOWS). This project will collect physiological and behavioral data of NAS patients to develop an AI algorithm and establish the advantages of continuous monitoring in NAS. The AI algorithm, processed by machine learning, will help predict NAS symptoms, automate scoring, and provide healthcare personnel with predictive analytics to guide suggested treatments.

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Key information

Age range

Up to 4 week

Sex eligibility

All sexes

Study type

Observational

Primary location

University of New Mexico

Albuquerque, New Mexico, 87106, United States

About this study

The current diagnostic and assessment framework for NAS heavily relies on subjective methods, primarily the Finnegan Neonatal Abstinence Score (FNAS). FNAS helps providers evaluate pharmacological and non-pharmacological treatments and monitor the progress of infants with NAS. The Eat Sleep Console (ESC) approach has been implemented in some hospitals to emphasize non-pharmacological interventions as the primary method of managing and treating NAS. Despite the high prevalence of NAS and the significant resources allocated to its management, the healthcare system continues to grapple with an unmet clinical need for standardized diagnostic and treatment protocols.

The reliance on subjective assessments contributes to this challenge, as FNASS and ESC introduce variability in care that can affect outcomes. Developing objective, reliable tools for assessing NAS severity and guiding treatment decisions remains a critical need in neonatal care, promising to enhance the efficiency and effectiveness of interventions for these vulnerable patients. Recent studies have underscored the lack of consistency in diagnosing and treating NAS, revealing a broad spectrum of practices across different pediatric healthcare settings. This problematic inconsistency leads to varied patient outcomes and a lack of clarity on best practices.

This multicenter study will collect data that will be used to develop an AI-based tool that can automate scoring with predictive analytics. Additionally, the investigators aim to establish the advantages of continuous monitoring in NAS that should lead to decreased length of stay in the NICU and improved patient outcomes.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • The subject selection criteria per site will be 80% term neonates affected by neonatal abstinence syndrome (NAS) and 20% term neonates without any health complications.
  • The eligible screening process for the NAS neonates in the study will include neonates affected by NAS, newborn infants diagnosed with NAS, infants with confirmed history of prenatal exposure to opioids or other drugs that can cause NAS, and infants who meet specific diagnostic criteria for NAS based on standardized clinical assessments.
  • The eligible screening process for neonates without any health complications include newborn infants without any known health complications or medical conditions, infants with a normal physical examination and absence of clinical signs or symptoms suggestive of NAS or other health issues.
  • Given the simple nature of the study, wards of the courts will also be enrolled upon evaluating the appropriateness, identifying an advocate if required, and providing an approved consent for the ward subject.

Exclusion criteria

  • The investigators are NOT purposefully excluding or including any gender or race in our studies.

Treatment and study plan

NeoMonki

Other

Collection of Data for assessing the reliability of Neomonki and Realtime monitoring

Primary outcomes

  1. Training/validation data collection

    Time frame: 2.5 years

    Physiological data collected to be used for training and validation of AI model development in-house to help monitor and treat NAS.

Secondary outcomes

  1. Continuous Monitoring

    Time frame: 1.5 years

    This endpoint will be used to compare the validity of the scoring data collected continuously from the device to intermittent scoring from healthcare providers.

Sponsors and collaborators

Lead sponsor

Rekovar Inc.

Industry

Collaborators

  • Corewell Health East Dearborn Hospital and Royal Oak Hospital
  • The University of Texas Health Science Center at San Antonio
  • University of New Mexico

Registry information

Official study title

A Multi-center Study to Collect Data for Basic Physiological Research in Neonatal Abstinence Syndrome (NAS) and Evaluate the Automated Finnegan/ESC Data Collection Process

Important dates

Study start
2024
Primary completion
2026
Study completion
2026
First posted
Mar 12, 2024
Registry last updated
Sep 9, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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