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العنوان
Predictors and outcomes of 30 days peri-operative morbidity and mortality after bariatric surgery :
المؤلف
El-Sayed, Ahmed Hamdy Mohammed.
هيئة الاعداد
باحث / أحمد حمدي محمد السيد
مشرف / أمجد أحمد فؤاد حسن
مشرف / أحمد نبيه أنور الغوالبي
مشرف / السيد عادل أبو المجد صالح
الموضوع
Bariatric surgery. Bariatric Surgery - Methods. Obesity hypoventilation syndrome.
تاريخ النشر
2024.
عدد الصفحات
online resource (102 pages) :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
جراحة
تاريخ الإجازة
1/1/2024
مكان الإجازة
جامعة المنصورة - كلية الطب - الجراحة العامة
الفهرس
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Abstract

The study included 800 cases who were diagnosed with morbid obesity, and were subjected to the detection of diseases associated with obesity, then all cases were subjected to one of the bariatric surgeries, after which they were divided into two groups: mortality group and non mortality group within 30 days, then a statistical analysis was conducted to discover the relationship between the presence of diseases associated with obesity before the operation and the occurrence of complications within 30 days after the operation, the following was found: Age ≥ 50 years, BMI ≥ 50 Kg/m2, male gender, MGB, revisional bariatric procedure, previous gastric balloon, hyperlipidemia, cardiac disease, OSAS, smoking, osteoarthritis, gallstones, previous laparotomy, anemia, hypoalbuminemia, and hypothyroidism were significant risk factor for morbidity on the univariate analysis. On the multivariate analysis, only age, BMI, male gender, hyperlipidemia, cardiac disease, OSAS, smoking, and osteoarthritis maintained their significance. After that, the same cases were divided into two groups: mortality and non mortality group within 30 days after the operation, it was found as follows: age ≥ 50 years, male gender, cardiac disease, OSAS, ASA class II, smoking, anemia, hypoalbuminemia, LSG, and MGB were significant risk factors on the univariate analysis. However, on the multivariate analysis, only male gender, cardiac disease, smoking, anemia, and hypoalbuminemia were significant predictors of mortality.