Active — Not RecruitingNot Applicable

Role of Inflammatory Markers and Doppler Parameters in Late-Onset Fetal Growth Restriction: A Machine Learning Approach

Turkey (Türkiye)240 participantsStarted 2024-01-31

Plain-language summary

Fetal growth restriction (FGR) is a serious complication in pregnancy that can lead to various adverse outcomes. It's classified into early-onset (before 32 weeks) and late-onset (after 32 weeks), with late-onset associated with long-term risks like hypoxemia and developmental delays. The study focuses on the role of inflammation in FGR, introducing new blood markers for better understanding and diagnosis. It also addresses the challenges of using advanced diagnostic tools in low-resource settings and explores the use of machine learning to predict FGR based on inflammatory markers, highlighting the potential of artificial intelligence in overcoming these challenges.

Who can participate

Age range18 Years – 45 Years

SexFEMALE

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Inclusion Criteria: * Between the ages of 18-45 * Completed their pregnancy follow-up in our center * Pregnant women whose data can be accessed * Singleton pregnancies without systemic maternal comorbidities other than FGR Exclusion Criteria: * Multiple pregnancies * Having a maternal disease * Fetal congenital and chromosomal anomalies * Chronic drug use, alcohol and cigarette use * Accompanying additional pregnancy complications during follow-up * Cases whose data cannot be accessed

What they're measuring

Evaluation of data

Timeframe: Within 1 month of data collection

Trial details

NCT IDNCT06372938

SponsorAnkara Etlik City Hospital

Sponsor typeOTHER_GOV

Study typeOBSERVATIONAL

Primary completion2024-07-06

View on ClinicalTrials.gov More Fetal Growth Restriction trials