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NCT04814680

Machine-Learning Algorithm for Prediction of Blood Pressure, Glycated Haemoglobin and Estimated Glomerular Filtration Rate

Completed Last updated 4 January 2023
What this trial tests

trial in Prediction of Blood Pressure, Glycated Haemoglobin and Estimated Glomerular Filtration Rate From Digital Retinal Images in 301 participants. Completed in 10 February 2022.

Timeline
8 November 2021
Primary endpoint
10 February 2022
10 February 2022

Quick facts

Lead sponsorAstraZeneca
StatusCompleted
Study typeOBSERVATIONAL
Enrollment301
Start date8 November 2021
Primary completion10 February 2022
Estimated completion10 February 2022
Sites2 locations across Kenya

Conditions studied

Sponsor

AstraZeneca — full company profile →

Who can join

Adults 35 to 130, any sex, with Prediction of Blood Pressure, Glycated Haemoglobin and Estimated Glomerular Filtration Rate From Digital Retinal Images. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

This is a non-interventional pilot study with the following objectives: * Establish scalable methodology for collection of retinal images, blood pressure (BP) and laboratory-based assessments * Compare the results of a machine-learning algorithm in predicting BP, glycated haemoglobin (HbA1c) and estimated glomerular filtration rate (eGFR) from digital retinal images with clinical and laboratory-based measures * Determine the required sample size needed to support a future study to fully validate the machine-learning algorithm

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other AstraZeneca trials

Trials by the same sponsor.

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Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04814680.

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