PREDICTIVE MARKERS FOR ADVERSE PREGNANCY OUTCOMES: INSIGHTS FROM A PROSPECTIVE COHORT STUDY ON MATERNAL FACTORS, BIOMARKERS, AND UTERINE ARTERY DOPPLER RESULTS

ANJU SURYAPANI; SHRUTI MOHAN UNIYAL

doi:10.22159/ijcpr.2024v16i6.6010

Authors

ANJU SURYAPANI Department of Obstetrics and Gynaecology, Rama Medical College, Hospital and Research Centre, Hapur, India
SHRUTI MOHAN UNIYAL Department of Obstetrics and Gynaecology, Rama Medical College, Hospital and Research Centre, Hapur, India

DOI:

https://doi.org/10.22159/ijcpr.2024v16i6.6010

Keywords:

Pregnancy complications, Predictive markers, Uterine artery doppler, Maternal biomarkers, Preterm birth, Pregnancy-induced hypertension, Intrauterine growth restriction

Abstract

Objective: Effective prediction tools are necessary for better outcomes when it comes to pregnancy-related complications such as intrauterine growth restriction (IUGR), pregnancy-induced hypertension (PIH), and premature birth. In order to improve early risk diagnosis and treatment, this study investigates relationships between maternal variables, first-trimester biomarkers, and second-trimester uterine artery Doppler findings.

Methods: Correlations between demographic characteristics, maternal dual test indicators (serum beta-HCG, serum PAPPA), and uterine artery Doppler tests were examined in a prospective cohort study including 500 pregnant women. Statistical studies evaluated correlations with IUGR, PIH, and premature birth.

Results: Serum beta-HCG levels below the 5th percentile correlated significantly with preterm birth (RR 2.3131, p = 0.0288). Low serum PAPP-A levels (<5th percentile) associated with PIH (RR 2.1447, p = 0.0204) and IUGR (RR 2.0953, p = 0.0002). Uterine artery Doppler indices (>0.58 RI) demonstrated associations with PIH (RR 2.2448) and IUGR (RR 1.6293).

Diastolic notching correlated with preterm birth, PIH, and IUGR.

Conclusion: The potential of serum beta-HCG, PAPP-A, and uterine artery Doppler indices as useful predictors of unfavorable pregnancy outcomes is highlighted by this study, which also highlights their use in early risk detection.

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