Using A.I. to Monitor Eye Health in Hypertensive Patients
Author Information
Author(s): Barca Irina Cristina, Potop Vasile, Arama Stefan Sorin
Primary Institution: “Carol Davila” University of Medicine and Pharmacy, Bucharest, Romania
Hypothesis
OCTA will show subclinical changes in retinal microvasculature in the superficial and deep plexi, i.e., changes related to secondary dyslipidemia and progression of hypertensive retinopathy.
Conclusion
Subjects with dyslipidemia and progressive hypertensive retinopathy had a reduction in microvascular density and vascular flow, which can be monitored using improved A.I. systems.
Supporting Evidence
- Statistically significant correlations were found between total cholesterol and various OCTA parameters.
- Participants with higher blood pressure showed increased avascular zones and reduced blood flow.
- OCTA is a non-invasive method that allows for detailed imaging of retinal microvasculature.
Takeaway
This study looked at how high blood pressure and bad cholesterol affect the tiny blood vessels in the eyes, and how we can use smart computer programs to help doctors see these changes better.
Methodology
A prospective cohort study was conducted on 154 eyes of participants with dyslipidemia and hypertension, using OCTA to measure retinal vascular parameters.
Potential Biases
Potential bias due to the lack of randomization and the exclusion of certain patient groups.
Limitations
The study did not include a control group and had a small sample size of 77 participants.
Participant Demographics
Average age was 56.9 years, with 55.8% males; participants were from Eastern Europe.
Statistical Information
P-Value
p = 0.002 to p = 0.029 for various correlations
Confidence Interval
95% CI for various parameters
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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