[Development of an OCTA-based risk prediction model for retinopathy in patients with obstructive sleep apnea and hypertension].

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Authors: Xiaowan DU, Jiajia Dong, Yiran Li
Cited by: 0

Abstract

The XGBoost-based multimodal model integrating OCTA and PSG biomarkers enables precise risk stratification for retinopathy in OSA-hypertension comorbidity. This non-invasive framework elucidates the synergistic interplay between microvascular dysfunction and nocturnal hypoxemia, providing a quantifiable tool for early risk prediction of target organ damage. Its clinical translation potential lies in guiding personalized interventions to mitigate systemic complications in high-risk populations.

Publication details

Journal / source
PubMed
Volume
40
Issue
1
Pages
28–33
Publication date
1 January 2026
Language
ZH