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Predictors of Chronic Kidney Disease among Type 2 Diabetic Patients in Assiut University Hospitals.
Globally, the total number of people with diabetes is estimated to increase from 415 million (8.8%) in 2015 to 642 million (10.4%) in 2040, with the largest alterations expected to occur in the urban population of low- to middle-income countries (LMICs)1. Of them, type 2 diabetes mellitus (T2DM) accounts for more than 90% of people with diabetes2,3. By 2040, the difference worldwide is projected to broaden, with 477.9 million affected people living in urban areas and 163.9 million in rural areas1. It has been postulated that the burden of diabetes and its complications in the LMICs may be contributed by the economic development and rapid urbanisation via increased caloric intake and the adoption of a sedentary lifestyle2,4,5. More importantly, the most striking demo graphic change to diabetes prevalence in global terms also seems to be related to the growth of the proportion of the elderly population6. Despite rates of diabetes-related complications such as CVDs decreasing significantly in the past two decades, it has not translated nearly as well as kidney complications7. Approximately 10% of deaths in people with T2DM are attributable to kidney failure8. It is well-established that diabetes-related chronic kidney disease (CKD) is the leading cause of end-stage kidney disease (ESKD) in T2DM patients worldwide9,10.
In our study, we aim to identify and classify patients attending diabetic outpatient clinic with both CKD and
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| CKD patients with T2DM on regular HD | CKD patients with T2DM attending Assuit university diabetic outpatients clinic and ESRD on regular HD at dialysis unit of Assuit University Hospital | ||
| CKD patients with T2DM not on regular HD | CKD patients with T2DM attending Assuit university diabetic outpatients clinic and ESRD not on regular HD at dialysis unit of Assuit University Hospital |
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| Measure | Description | Time Frame |
|---|---|---|
| predictors of CKD among T2DM patients attending Assiut University Hospitals. To classify our patients into stages according to KDIGO guidelines | To identify predictors of CKD among T2DM patients attending Assiut University Hospitals. To classify our patients into stages according to KDIGO guidelines | 3 years |
| Measure | Description | Time Frame |
|---|---|---|
| the possible risk factors contributing to progessing CKD in T2DM patients. | To identify the possible risk factors contributing to progessing CKD in T2DM patients. | 3 years |
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Inclusion Criteria:
- Patients with T2DM aged 18 years or older. For patients whom eGFR values < or =60 ml/min/1.73m2.
Patient with type 2 DM and ESRD on regular HD with duration less than 1 year
Exclusion Criteria:
Having kidney transplantation incomplete data on glycemic control. Patients with type 2 DM and ESRD on regular HD with duration more than 1 year. Pregnant woman. Patients with advanced comorbides(cardiac, hepatic,
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All type 2 diabetic &ckd patient older than 18 years
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Muhammed Al Abualsaud | Contact | +20 106 923 9438 | Aboalsaud25@gmail.com | |
| Peter At Munir | Contact | 01553529181 |
| Name | Affiliation | Role |
|---|---|---|
| Muhammed Al Abualsaud | Assiut University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Assiut | Recruiting | Asyut | 088 | Egypt |
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