Chuluun-Erdene, Ariunbold
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Chuluun-Erdene, Ariunbold
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Chuluun-Erdene Ariunbold
Латин нэр
Chuluun-Erdene Ariunbold
Албан тушаал
Судлаач
ORCID
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Item type:Publication, Prediction of Preeclampsia by Maternal Factors and Biophysical Markers During the First-trimester(Mongolian National University of Medical Sciences, 2017-11-25); ; Erkhhembaatar TudevdorjObjectives: In this study, we examined the predictive effect of maternal factors, first-trimester mean arterial pressure (MAP) and uterine artery mean pulsatility index (mUt.A-PI) on the subsequent development of preeclampsia (PE). Methods: Maternal characteristics and medical history were recorded and biophysical markers included uterine artery flow velocity wave forms mUt.A-PI and MAP were measured in 393 single pregnancies who getting antenatal care at 11+0-13+6 weeks. Results: Sixty six (16.8%) cases had preeclampsia and 327 (83.2%) cases were unaffected by preeclampsia. One hundred nineteen (30.3%) of the 393 pregnancies were nulliparous, 274 (69.7%) pregnancies were multiparous. Seventy one (25.9%) women had a history of preeclampsia in previous pregnancy and 203 (74.1%) women had no history of preeclampsia. For MAP as a predictor of PE, the cutoff point for MAP was 89.5 mmHg (sensitivity 71.2%, specificity 75.5%, J0.467, AUC 0.792, P<.001). The cutoff point of mUt.A-PI was 2.34 (sensitivity 33.3%, specificity 77.7%, J0.12, AUC-0.577, P<.001). Logistic regression analysis showed that woman who had PE previously had highest odds ratio (OR=5.81, p<0.001) for developing PE. Conclusion: The strongest predictor of PE was a previous history of PE. The MAP was a more accurate predictor of PE than the mUt.A-PI measurement - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Use of Biochemical and Biophysical Markers in Early Screening for Preeclampsia in Mongolia(2018-07); ; Tudevdorj, ErkhembaatarPreeclampsia (PE) is a major cause of maternal and perinatal morbidity and mortality, particularly in developing countries. In Mongolia, preeclampsia and eclampsia have occurred among pregnancy complications at a rate of 25% in recent years. Recent studies in the literature have screened for preeclampsia by combining maternal factors with biomarkers. This study was conducted using prospective cohort research including 393 singleton pregnancies at 11⁻13+6 weeks. Maternal plasmas pregnancy-associated plasma protein-A (PAPP-A) and maternal serum placental growth factor (PlGF) were measured using Perkin Elmer time-resolved fluoroimmunoassay (DELFIA) kits, and the measurement of mean arterial pressure (MAP) was performed by automated devices and the uterine artery pulsatility index was measured by Doppler ultrasound. In the study population, there were 16.7% showing complicated preeclampsia. The receiver-operating characteristics (ROC) curve analysis showed a sensitivity of 71.21%, and a specificity of 75.54% when the mean arterial pressure cut-off was 89.5 mm; while a sensitivity of 33.36% and specificity of 77.68% were observed when the uterine artery mean pulsatility index (mPI) cut-off was 2.34; a sensitivity of 79.66% and specificity of 44.04% were observed when the PAPP-A cut-off was 529.1 mU/L; and a sensitivity of 74.58% and specificity of 46.6% were observed when the PlGF cut-off was 39.87 pg/mL. The detection rates following the combination of markers with the maternal history were as follows: 62.7% with mean arterial pressure, 69.5⁻82.9% with two markers 86.5% with three markers and 91.4% with four markers. In conclusion, the mean arterial pressure was highly sensitive and demonstrated its easy usage and cost-effectiveness as a predictive marker for the early screening of preeclampsia from other biomarkers.Scopus© Citations 6