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
Study Type
OBSERVATIONAL
Enrollment
301
Research Site
Nairobi, Kenya
Research Site
Nairobi, Kenya
To assess successful use of methodology for retinal image acquisition, BP (ABPM or manual), HbA1C (laboratory based or point of care test) and e-GFR measurement.
Proportion of participants with completed study procedures and interpretable results including both retinal images, systolic and diastolic BP (ABPM or manual), HbA1c (laboratory based or point of care test) and eGFR at Visit 1
Time frame: up to 66 day
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