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العنوان
Early Systolic Lengthening in Patients Undergoing Elective Coronary Angiography Speckle Tracking Imaging Study /
المؤلف
Montaser, Mohamed Saied Shalaby.
هيئة الاعداد
باحث / محمد سعيد شلبى منتصر
مشرف / ولاء فريد عبد العزيز موسى
مناقش / محمد فهمى النعمانى
مناقش / أحمد حسانين جابر
الموضوع
Cardiology. Coronary heart disease. Heart Diseases.
تاريخ النشر
2023.
عدد الصفحات
134 p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
أمراض القلب والطب القلب والأوعية الدموية
تاريخ الإجازة
24/12/2023
مكان الإجازة
جامعة المنوفية - كلية الطب - قسم أمراض القلب والأوعية الدموية
الفهرس
Only 14 pages are availabe for public view

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from 147

Abstract

 This study was designed to evaluate the ability of early systolic lengthening (ESL), peak and duration to assess the severity of CAD.  We prospectively selected 64 patients with chronic stable angina referred for coronary angiography.  For each patient the following was done. Thorough history taking, clinical examination 12 leads ECG, lab investigation, conventional and speckle tracking echocardiographic for each (STE), examination. Peak and duration of ESL were measured.  Coronary angiography was done and we calculated both total and territorial Gensini score (GS) . According to GS value our patients were classified into group I patients with severe and significant CAD (GS ≥ 20) and group II patients with nonsignificant CAD (GS <20).  ESL derived peak and duration were statistically significantly higher among group I compared to group II patients both at total and territorial level respectively.  Peak and duration of ESL correlated significantly with total and territorial GS.  Using univariate analysis both peak and duration predicted significantly CAD severity however, with multivariate analysis only peak of ESL was a predictor of CAD severity.  ROC curve showed peak of ESL have a higher accuracy 85.94% at a cutoff value of >1.04 with higher positive 91.30% and negative predictive 72.22% values. Also the duration of ESL have a higher accuracy89.06% at a cutoff value of >12.02 with higher positive 93.48% and negative predictive values 77.78%.