Ignite Creation Date:
2024-05-06 @ 8:24 PM
Last Modification Date:
2024-10-26 @ 3:27 PM
Study NCT ID:
NCT06372938
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
2024-07-08
First Post:
2024-04-07
Brief Title:
Role of Inflammatory Markers and Doppler Parameters in Late-Onset Fetal Growth Restriction A Machine Learning Approach
Sponsor:
Ankara Etlik City Hospital
Organization:
Ankara Etlik City Hospital
Study Overview
Official Title:
Role of Inflammatory Markers and Doppler Parameters in Late-Onset Fetal Growth Restriction A Machine Learning Approach
Status:
ACTIVE_NOT_RECRUITING
Status Verified Date:
2024-07
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Fetal growth restriction FGR is a serious complication in pregnancy that can lead to various adverse outcomes Its 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
Detailed Description:
Fetal growth restriction FGR also known as intrauterine growth restriction is a prevalent pregnancy complication with potentially negative outcomes for newborns The conditions causes are varied involving genetic factors maternal inflammation infections and other pathologies FGR is categorized based on its onset early-onset FGR occurs before 32 weeks gestation while late-onset happens after 32 weeks Late-onset FGR though less risky in perinatal complications compared to early-onset is linked to an increased risk of hypoxemia and neurodevelopmental delays Diagnosis primarily relies on ultrasound measurements and Doppler flow analysis of specific arteries The study highlights the complexity of diagnosing and managing late-onset FGR emphasizing the unclear pathophysiological mechanisms It proposes the exploration of inflammatory processes and the potential role of new markers such as the systemic immune inflammation index SII systemic inflammatory response index SIRI and neutrophil-percentage-to-albumin ratio NPAR for understanding FGR These markers are easily measured through blood tests and are significant in various diseases The text also discusses the challenges of applying advanced diagnostic methods in low-income countries due to the need for sophisticated equipment contrasting with the accessibility of artificial intelligence and machine learning models via the internet The study aimed to assess the impact of inflammatory processes on late-onset FGR by analyzing NPAR along with other markers and evaluating their predictive value using machine learning algorithms
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None