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150157

Accuracy of Second Trimester Prediction of Preterm Preeclampsia by Three Different Screening Algorithms

Article

Last updated: 22 Jan 2023

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Abstract

ABSTRACT
Background: Preeclampsia is a condition unique to pregnancy, which can lead to significant maternal and fetal morbidity and death. Early detection of women at greater risk of preeclampsia helps avoid and treat early illness.
Aim of the work: current study aimed to compare the performance of the NICE guidelines, the ACOG recommendations and (FMF) algorithm, for the early detection of preeclampsia.
Patient & Methods: Current study was a cohort prospective study included 400 women who attended for their routine antenatal care during the second trimester. All demographic and clinical data and follow up cases collected.
Result: The incidence of preeclampsia was 9.3%. There was a significant older age (28.89±2.74 vs 27.55±2.88) and increase in patient weight, height and BMI among PE cases. Also, there was a statistical significant raising in the cesarean section mode of delivery (45.9% vs 26.4%), ovulation induction (24.3% vs 6.1%) and high mean of arterial pressure (113.46±2.34 vs 92.09±2.98 mmHg), and Doppler ultrasound, the uterine artery pulsatility index (PI) (1.05±0.30 vs 0.55±0.14) among PE cases. On the other hand, there was a statistical significant decrease in fetal GA at delivery (37.0±1.49 vs 38.19±1.10 weeks), decrease of fetal birth weight, Apgar score at first and fifth minutes among females developed PE.
Conclusion: Screening for early preeclampsia in second trimester using maternal history, mean arterial pressure and mean uterine artery Doppler pulsatility index (FMF algorithm) was better than screening by maternal characteristics alone (NICE and ACOG guidelines).

DOI

10.21608/aimj.2021.51145.1360

Keywords

preeclampsia, Preterm, Hypertension, Screening

Authors

First Name

Mostafa

Last Name

Hegab

MiddleName

Hussein

Affiliation

Department of Obstetrics and gynecology, Faculty of Medicine, Al-Azhar University,Cairo,Egypt

Email

mostafahegab126@yahoo.com

City

Cairo

Orcid

-

First Name

Osama

Last Name

Ali

MiddleName

Alsaid

Affiliation

Department of Obstetrics and gynecology, Faculty of Medicine, Al-Azhar University,Cairo,Egypt

Email

osamaali605@yahoo.com

City

Cairo

Orcid

-

First Name

Wael

Last Name

Amin

MiddleName

Farouk

Affiliation

Department of Obstetrics and gynecology, Faculty of Medicine, Al-Azhar University,Egypt

Email

fwael77@gmail.com

City

Cairo

Orcid

-

Volume

2

Article Issue

1

Related Issue

22624

Issue Date

2021-01-01

Receive Date

2021-01-18

Publish Date

2021-01-01

Page Start

46

Page End

50

Print ISSN

2682-3381

Online ISSN

2682-339X

Link

https://aimj.journals.ekb.eg/article_150157.html

Detail API

https://aimj.journals.ekb.eg/service?article_code=150157

Order

9

Type

Original Article

Type Code

710

Publication Type

Journal

Publication Title

Al-Azhar International Medical Journal

Publication Link

https://aimj.journals.ekb.eg/

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Article

Created At

22 Jan 2023