Diagnosis of Neonatal Opioid Withdrawal Syndrome (NOWS) and development of a NOWS-App
Diagnosis of Neonatal Opioid Withdrawal Syndrome (NOWS) and development of a NOWS-App
批准号:
10602627
负责人:
Charles Steiner
金额:
$93.7万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-22 至 2024-08-31
关键词:
Abdominal colicAcousticsAdoptionAlgorithmsBirthCellular PhoneChild CareClinicalComputer softwareCost SavingsDataData SetDevelopmentDiagnosisEatingExposure toFamilyFeedbackFocus GroupsFreezingFundingGoldHealthHealth Insurance Portability and Accountability ActHospital ChargesHospitalizationHospitalsInfantLocationMachine LearningMeasurementMedicalMethodsModificationMulticenter StudiesNeonatal Abstinence SyndromeNoiseNursesOpioidPainParentsPatientsPharmacological TreatmentPharmacologyPhasePublic HealthRecording of previous eventsResearchResearch PersonnelSamplingSavingsSiteSleepSmall Business Innovation Research GrantSystemTechnologyTimeTreatment CostUnited States National Institutes of HealthUniversitiesWithdrawalWomanWorkaccurate diagnosisalgorithm developmentalgorithm trainingautism spectrum disorderautomated analysisbasecloud basedcommercializationcostdesigndevelopmental diseaseexperienceimprovedinnovationmachine learning algorithmprenatal exposureproduct developmentscreeningsoftware development
中文摘要
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英文摘要
PROJECT SUMMARY
PedialyDx Inc. proposes to replicate previous research findings and develop a commercial product that can
assist in the diagnosis of Neonatal Opioid Withdrawal Syndrome (NOWS), the withdrawal that infants
experience shortly after birth due to the abrupt discontinuation of fetal exposure to opioids. NOWS has
become a significant public health problem, increasing from 1.6 per 1000 births in 2004 to 8.8 per 1000 births
in 2016, with associated hospital charges increasing from $190M in 2000 to $720M in 2009. Accurate
diagnosis of NOWS is important because false-positives can result in babies unnecessarily receiving
pharmacological treatment with corresponding prolonged hospitalization and substantial cost, or false-
negatives result in babies not being treated when they should, potentially leading to serious medical problems.
Unfortunately, current methods to diagnose NOWS, whether pharmacologically based such as the “gold
standard” Finnegan scoring system, or non-pharmacologically based such as “East, Sleep and Console” are
limited because of their subjectivity. Using proprietary acoustic analysis software and Machine Learning (ML)
algorithms, our team has identified a preliminary “cry signature” relating baby cry acoustics to the Finnegan
with .81 accuracy. PedialyDx’s NOWS-app will deliver improved care for children with NOWS through 2
innovations: 1) more objective assessment using acoustic cry analysis will lead to more accurate diagnosis and
treatment (fewer false positives, fewer false negatives, and more precise hospitalization stays) and 2) save
time, leading to cost savings, in the management of babies with NOWS. Our preliminary data has been
collected in a single controlled clinical setting, which has demonstrated proof of concept that our algorithm can
objectively assess baby cries. Next, we will advance the commercialization of our NOWS-app by expanding
upon our existing dataset by collecting data from real-world settings to optimize our ML algorithm for NOWS. In
Aim 1, we will conduct a multi-center study (7 sites) to extend the research of baby cry as an indicator of
NOWS. In Aim 2, we will complete the development of the NOWS-app. Successful completion of this project
will result in our NOWS-App product ready for submission to the FDA. The work proposed in this application
will also allow PedialyDx to take important steps toward advancing its baby cry technology platform to enable
products for other conditions, such as screening for autism and other developmental disorders, colic and pain.
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Diagnosis of Neonatal Opioid Withdrawal Syndrome (NOWS) and development of a NOWS-App
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批准号:10709660
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项目类别:
-
资助金额:$89.72万
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财政年份:2022
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负责人:Charles Steiner
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依托单位:
海外基金