Viewing Study NCT07157267


Ignite Creation Date: 2025-12-25 @ 12:32 AM
Ignite Modification Date: 2025-12-25 @ 10:40 PM
Study NCT ID: NCT07157267
Status: NOT_YET_RECRUITING
Last Update Posted: 2025-09-05
First Post: 2025-08-28
Is NOT Gene Therapy: False
Has Adverse Events: False

Brief Title: Evaluation of Thyroid Function, Lipid Profile, and Uric Acid Levels in Hemodialysis Patients
Sponsor: Assiut University
Organization:

Study Overview

Official Title: Evaluation of Thyroid Function, Lipid Profile, and Uric Acid Levels in Patients Undergoing Hemodialysis Prevalence in Assiut University Hospital
Status: NOT_YET_RECRUITING
Status Verified Date: 2025-08
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: This observational study evaluates the prevalence and relationships of thyroid dysfunction, lipid abnormalities, and elevated uric acid levels in adult patients undergoing maintenance hemodialysis at Assiut University Hospital.
Detailed Description: Chronic kidney disease (CKD) patients on maintenance hemodialysis frequently experience metabolic disturbances including thyroid hormone imbalances, dyslipidemia, and hyperuricemia, which heighten cardiovascular risk. This prospective cross-sectional study aims to investigate the prevalence and interrelations of thyroid function abnormalities (measured via serum TSH, Free T3, Free T4), lipid disorders (total cholesterol, HDL-C, LDL-C, triglycerides), and serum uric acid levels in a cohort of 100 adult patients undergoing regular hemodialysis for at least three months at Assiut University Hospital. Data will be collected through questionnaires, clinical exams, ultrasound thyroid scanning, and detailed laboratory and dialysis records review. The study also examines correlations between these biochemical parameters and patients' demographic and clinical characteristics, such as age, gender, smoking status, dialysis duration/frequency, and comorbidities like diabetes mellitus and hypertension. Statistical analyses using SPSS will identify the prevalence of metabolic alterations and their clinical implications in this vulnerable population.

Study Oversight

Has Oversight DMC: False
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: