Comparisonbetween Primary Hypertension Monitoring Methods for Detection of Early Kidney Dysfunction

March 8, 2019 updated by: Nader Nabil, Assiut University

Comparison Between Centrally Measured Blood Pressure and Automated Blood Pressure Monitoring for Detection of Early Kidney Dysfunction in Patients With Primary Hypertension

The present study aims to show the difference of blood pressure monitored centrally and automated BP monitoring among patients with primary hypertension for early detection of kidney dysfunction

Study Overview

Status

Unknown

Intervention / Treatment

Detailed Description

Hypertension is well known as the silent killer, There is a close relationship between blood pressure levels and the risk of cardiovascular events, strokes and kidney disease.

Diabetes and hypertension cause up to two-thirds of chronic kidney disease , chronic kidney disease is a common condition characterized by evidence of kidney damage or dysfunction.

chronic kidney disease is currently classified based on a patient's estimated glomerular filtration rate and urinary albumin excretion rate , clinicians look for markers of renal damage (e.g., abnormalities of urinary sediment or organ structure) to diagnose chronic kidney disease in people with estimated glomerular filtration rate of <60 mL/min/1.73 m2.

Age distribution for hypertension showed progressive rise in blood pressure with increasing age. Age-related hypertension appears to be predominantly systolic rather than diastolic. The third NHANES survey reported that the prevalence of hypertension grows significantly with increasing age in all sex and race groups. In another study, the incidence of hypertension appeared to increase approximately 5% for each 10-year interval of age Because Central blood pressure is considered better than peripheral blood pressure in predicting cardiovascular events, due to wave reflections and viscoelastic properties of the arterial wall Now a day several non-mercury techniques have been developed during the last ten years in order to gradually supplant the mercury-auscultatory method, such as the automatic electronic devices using algorithms based on the oscillometric technique.

Over the last ten years , different protocols are used to validate the accuracy of blood pressure measuring devices , several automated devices have been successfully validated using established protocols.

Study Type

Observational

Enrollment (Anticipated)

102

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

40 years to 70 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

The study will include patients with primary hypertension.

Description

Inclusion Criteria:

  1. Age between 40 Years to 70 Years old .
  2. Patients who have history of primary hypertension either on medical treatment or not .

Exclusion Criteria:

  1. All patients with 2ry hypertension.
  2. Diabetic patients.
  3. Patients with ESRD on regular dialysis .
  4. Patients with creatinineclearance >30ml/min .
  5. collagen diseases

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Detection of kidney dysfunction in patients with primary hypertension
Time Frame: 1 year

Detection of kidney dysfunction by estimation of creatinine clearance using crclcockroftـGault equation.

In patients with primary hypertension and blood pressure will measured by two methods

  1. Central Blood Pressure monitoring through non-invasively using a new well calibrated device named Mobil-O- Graph .( Cuff-based oscillometry at the brachial artery)
  2. Automatic blood pressure monitor (Oscillometric) named the OMRON M2 basic® device was provided by Omron Healthcare company.
1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Ahmed Abdel Galeel, MD, Assiut University
  • Study Director: Doaa Fouad, Assiut University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

August 1, 2019

Primary Completion (Anticipated)

December 1, 2019

Study Completion (Anticipated)

June 1, 2020

Study Registration Dates

First Submitted

March 19, 2018

First Submitted That Met QC Criteria

April 6, 2018

First Posted (Actual)

April 9, 2018

Study Record Updates

Last Update Posted (Actual)

March 11, 2019

Last Update Submitted That Met QC Criteria

March 8, 2019

Last Verified

March 1, 2019

More Information

Terms related to this study

Other Study ID Numbers

  • Hypertension and CKD

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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