کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4224582 1609637 2013 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Clinical and ultrasound assessment in patients with placenta previa to predict the severity of intrapartum hemorrhage
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی رادیولوژی و تصویربرداری
پیش نمایش صفحه اول مقاله
Clinical and ultrasound assessment in patients with placenta previa to predict the severity of intrapartum hemorrhage
چکیده انگلیسی

ObjectivesEvaluate whether maternal history and ultrasound can predict massive hemorrhage during cesarean section in placenta praevia.Study designSixty singleton pregnant women with persistent placenta praevia (after 28 weeks’ gestation) were prospectively enrolled in this study.Comprehensive maternal history and findings obtained by antenatal ultrasound, including placental location, presence of lacunae, lack of a clear zone, abnormal color Doppler indices were reviewed, and their effect on the severity of maternal hemorrhage during cesarean section was analyzed.ResultsTwenty two cases had massive intra operative hemorrhage, among them 20 patients were confirmed to have placenta accreta and its variants (including increta and percreta) at the time of cesarean delivery.For diagnosis of severe bleeding (>1500 ml), the sensitivity of previous uterine surgery, abnormal color Doppler and lack of clear zone was high (95.5%, 81.8%, 81.8% respectively) while sensitivity of presence of lacunae was low (36.4%). And the specificity of abnormal color Doppler, lack of clear zone and presence of lacunae was high (94.7%, 94.7%, 97.4% respectively) while of previous uterine surgery was low (36.8%).ConclusionPrenatal maternal history and ultrasound examination can predict the amount of intraoperative hemorrhage and reduced the morbidity and mortality in patients with placenta previa.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Egyptian Journal of Radiology and Nuclear Medicine - Volume 44, Issue 3, September 2013, Pages 657–663
نویسندگان
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