PREVALENCE OF HIGH RISK AND ASSOCIATED FACTORS AMONG PREGNANT WOMEN AT 11-13 WEEKS AND 6 DAYS OF GESTATION UNDERGOING PREECLAMPSIA SCREENING
Main Article Content
Abstract
Objective: To determine the prevalence of high-risk preeclampsia and associated factors among pregnant women at 11-13 weeks and 6 days of gestation at Can Tho city Obstetrics and Gynecology Hospital.
Methods: A cross-sectional analytical study was conducted on 1672 pregnant women undergoing preeclampsia screening at 11-13 weeks and 6 days of gestation at Can Tho city Obstetrics and Gynecology Hospital from November 2023 to April 2025. High-risk screening was performed using the PerkinElmer LifeCycle™ software (based on a Bayesian model), which has been validated by the Fetal Medicine Foundation for predicting the risk of preeclampsia. Logistic regression analysis was applied to identify factors associated with high-risk preeclampsia.
Results: The prevalence of high-risk preeclampsia was 7.1%. Significant associated factors included: civil servant occupation (OR = 1.638; p = 0.017), education level ≤ high school (OR = 1.696; p = 0.035), and nulliparity (OR = 2.071; p = 0.001). The risk increased with BMI = 23-24.9 kg/m² (OR = 1.962; p = 0.006) and BMI ≥ 25 kg/m² (OR = 2.345; p < 0.001).
Conclusions: The prevalence of high-risk preeclampsia among pregnant women at 11-13 weeks and 6 days of gestation was relatively high (7.1%). The main associated factors were BMI, nulliparity, and socio-demographic characteristics.
Article Details
Keywords
Preeclampsia, screening, high risk.
References
[2] Rolnik D.L, Wright D, Poon L.C, O’Gorman N, Syngelaki A, de Paco Matallana C et al. Aspirin versus placebo in pregnancies at high risk for preterm preeclampsia. N Engl J Med, 2017, 377 (7): 613-622. doi: 10.1056/NEJMoa1704559
[3] Kane S.C, Da Silva Costa F, Brennecke S.P. First trimester screening for preeclampsia. Obstet Gynecol Surv, 2016, 71 (12): 735-744.
[4] Chaemsaithong P, Sahota D.S, Poon L.C. First-trimester preeclampsia screening and prediction. Am J Obstet Gynecol, 2020, 222 (6): 518-530. doi: 10.1016/j.alog.2020.07.020
[5] Liang H, Chen M, Yang X, Li J. A comprehensive first-trimester predictive model for preeclampsia. Front Med, 2023, 10: 1264369. doi: 10.1097/MD.0000000000045555
[6] American College of Obstetricians and Gynecologists. Gestational hypertension and preeclampsia. Obstet Gynecol, 2020, 135 (6): e237-e260. doi: 10.1097/AOG.0000000000003891