Predictors of Survival of DKD Patients in Assiut University Hospital

NCT ID: NCT06865456

Last Updated: 2025-03-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

129 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-05-01

Study Completion Date

2026-09-01

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

In recent years, the global prevalence of diabetes has risen significantly. According to the 9th edition of the International Diabetes Federation Atlas, an estimated 463 million adults were living with diabetes in 2019, representing approximately 9.3% of the population, with an average annual increase of 51%.

Diabetes is associated with multiple complications that can significantly impact patient outcomes . In 2019 alone, around 4.2 million deaths were attributed to diabetes and its complications, accounting for approximately 11.3% of all global deaths .

In diabetic patients, several factors influence renal survival, including glycemic control, blood pressure management, lifestyle interventions, and pharmacological therapies such as renin-angiotensin-aldosterone system (RAAS) inhibitors, sodium-glucose co-transporter-2 (SGLT2) inhibitors, and glucagon-like peptide-1 (GLP-1) receptor agonists(9). Early detection of kidney dysfunction through biomarkers like estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (UACR) plays a pivotal role in improving renal outcomes.

This study aims to evaluate the factors affecting Patients survival in diabetic patients, identify early predictors of renal function decline, and assess the effectiveness of current therapeutic strategies.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Chronic Kidney Disease(CKD)

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

study group

diapetic patient with diabetic nephropathy stage 4,5

No interventions assigned to this group

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* ● Patients age \> 18 years old

* Both sex
* diabetic patients with HbA1c level \>6.5( Type 1 and 2)
* Diabetic patients with CKD 4, 5 )
* HD Pt

Exclusion Criteria

* ● Chronic kidney diseases stage 1,2, and 3.

* Acute kidney injury.
* Patients with any other causes of CKD autoimmune disease
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Assiut University

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Hasnaa Osama Hassan Reiad

residant doctor at Assiut university hospital

Responsibility Role PRINCIPAL_INVESTIGATOR

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

DKD predictors

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.