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العنوان
Correlation between red cell indices, albuminuria and cardiovascular disease in patients with diabetic kidney disease /
الناشر
Heba Allah Ahmed Wagdy Mohamed ,
المؤلف
Heba Allah Ahmed Wagdy Mohamed
هيئة الاعداد
باحث / Heba Allah Ahmed Wagdy Mohamed
مشرف / Salwa Ibrahim Mohamed
مشرف / Tarek Samy Mohamed
مناقش / Salwa Ibrahim Mohamed
تاريخ النشر
2020
عدد الصفحات
92 P . :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الطب
تاريخ الإجازة
24/3/2020
مكان الإجازة
جامعة القاهرة - كلية الطب - Internal Medicine
الفهرس
Only 14 pages are availabe for public view

from 119

from 119

Abstract

Background: The incidence and prevalence of chronic kidney disease (CKD) is increasing all over the World. Cardiovascular disease (CVD) is a common complication of CKD due to many factors including volume overload, arterial stiffness and vascular calcification leading to ventricular arterial coupling mismatch. Anemia is highly prevalent in CKD due to deficiency of erythropoetin synthesis and release, iron deficiency and low grade inflammation. Anemia is considered an independent risk factor for cardiovascular morbidity and mortality. It leads to increased cardiac workload and left ventricular hypertrophy. On the other hand, albuminuria is an important marker for defining and staging CKD, according to Kidney Disease: Improving Global Outcomes (KDIGO) 2012 Clinical Practice Guideline for the Evaluation and Management of CKD recommended that CKD is classified according to the cause, the estimated glomerular filtration rate (eGFR) and the albuminuria category, Albuminuria is an independent risk factor for CVD and CKD progression. The relationship between albuminuria and anemia in CKD is understudied, also little is known about potential interaction between albuminuria and anemia as a future risk factor of CVD and whether hematocrit or hemoglobin have better correlation with albuminuria.Methods: This study was conducted on 150 patients with diabetic kidney disease (DKD) each had Atherosclerotic cardiovascular disease (ASCVD) defined as coronary heart disease, cerebrovascular disease, or peripheral artery disease, we assessed hemoglobin, hematocrit, urinary albumin to creatinine ratio (A/C ratio) and eGFR using CKD-epi formula. Logistic regression was performed to compare interaction between the independent variables together in the prediction of our dependent variable