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Predictors of Chronic Kidney Disease Among Type 2 Diabetic Patients in Assiut University Hospitals

Predictors of Chronic Kidney Disease Among Type 2 Diabetic Patients in Assiut University Hospitals

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05847400
Acronym
Ckd&dm
Enrollment
200
Registered
2023-05-06
Start date
2024-03-01
Completion date
2024-04-01
Last updated
2023-05-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Type 2 Diabetes With Renal Manifestations

Brief summary

Predictors of Chronic Kidney Disease among Type 2 Diabetic Patients in Assiut University Hospitals.

Detailed description

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

Interventions

None listed

Sponsors

Assiut University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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,

Design outcomes

Primary

MeasureTime frameDescription
predictors of CKD among T2DM patients attending Assiut University Hospitals. To classify our patients into stages according to KDIGO guidelines3 yearsTo identify predictors of CKD among T2DM patients attending Assiut University Hospitals. To classify our patients into stages according to KDIGO guidelines

Secondary

MeasureTime frameDescription
the possible risk factors contributing to progessing CKD in T2DM patients.3 yearsTo identify the possible risk factors contributing to progessing CKD in T2DM patients.

Countries

Egypt

Contacts

Primary ContactMuhammed Al Abualsaud
Aboalsaud25@gmail.com‪+20 106 923 9438‬
Backup ContactPeter At Munir
01553529181

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026