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العنوان
The Value of Middle Cerebral to Umbilical Artery Doppler Ratio in the Prediction of Neonatal Outcome in Patient with Pregnancy Induced Hypertension/
المؤلف
Abdo,Hend Abd Elmoneim Ibrahim
هيئة الاعداد
باحث / هند عبد المنعم إبراهيم عبده
مشرف / علاء الدين عبدالعزيز الجندى
مشرف / ليلـــــى علـــى فريـــد
تاريخ النشر
2016
عدد الصفحات
181.p:
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
أمراض النساء والتوليد
تاريخ الإجازة
1/1/2016
مكان الإجازة
جامعة عين شمس - كلية الطب - Obstetrics and Gynecology
الفهرس
Only 14 pages are availabe for public view

from 32

from 32

Abstract

Antenatal care is a primary defense mechanism against diagnosis of the disease and picking up of the severe cases with subsequent early management and intervention. The second line of defense mechanism which would carry the lowest maternal and fetal morbidity and mortality is the aggressive management of severe cases of high risk pregnancy.
In this study which included 200 women with pregnancy induced hypertension who admitted to Ain Shams university maternity hospital our aim was to evaluate the accuracy of Middle cerebral artery/Umbilical artery pulsatility index ratio in predicting admission to NICU and the duration of treatment, low Apgar score at 5 minutes, Gestational age at delivery, fetal weight at birth and perinatal mortality.
There was a significant association between MCA to UA PI <1 and higher rates of NICU admission, 5-minutes Apgar score < 7, Low gestational age at delivery, Low birth weight and perinatal mortality, but there was no significant differences between women who had a MCA to UA PI < 1 and women who didn’t regarding the median duration of NICU admission.
We found that the best cut off value of MCA/UA PI ratio for prediction of NICU admission was 1.21 (sensitivity 69.4 %, specificity 74%, PPV 41%, NPP 90.5%). This was more predictive than either the UA-PI or the MCA-PI separately.
In our study, MCA / UA PI ratio was found to be a good predictor of poor neonatal outcome in patients with pregnancy induced hypertension especially in prediction of perinatal mortality and incidence of NICU admission.