Evidence map›Paper›PMID 42459828›Full record

ArticleFrontiers in cell and developmental biology2026

Quantitative analysis of retinal microvascular changes in gestational hypertension and preeclampsia using artificial intelligence technology.

Tingting Hu, Shen Hu, Di Luo, Yanli Jiang, Yajie Zheng, Jie Wang, Xingye Wang, Qiong Wang, Fangfang Chen

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Article in Frontiers in cell and developmental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Tingting Hu *Dadukou District People's Hospital, Chongqing, China.
Shen Hu *Department of Obstetrics, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Di Luo *Dadukou District People's Hospital, Chongqing, China.
Yanli JiangShapingba Chenjiaqiao Hospital, Chongqing, China.
Yajie ZhengEVision Technology (Beijing) Co. Ltd., Beijing, China.
Jie WangEVision Technology (Beijing) Co. Ltd., Beijing, China.
Xingye WangEVision Technology (Beijing) Co. Ltd., Beijing, China.
Qiong WangDadukou District People's Hospital, Chongqing, China.
Fangfang ChenDadukou District People's Hospital, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertensive disorders of pregnancy (HDP) are among the leading causes of maternal and perinatal morbidity and mortality worldwide. Current clinical diagnosis primarily relies on late-onset indicators including elevated blood pressure and proteinuria, which fail to meet clinical demands for early identification and risk stratification. The retinal microvasculature shares high structural and physiological homology with cerebral and placental vasculature, providing an ideal non-invasive window for systemic microcirculation assessment. In this exploratory cross - sectional study, artificial intelligence - based quantitative fundus analysis was employed to assess retinal microvascular parameters in 36 pregnant women (72 eyes). The retinal arterial diameter and the mean macular venous diameter were notably narrower in both the gestational hypertension (GH) and preeclampsia (PE) groups when compared with the healthy control group (all p < 0.001), and there was no significant difference between the two disease groups. In univariate analyses, serum uric acid exhibited a stronger negative correlation with the arterial diameter (r = -0.614) than diastolic blood pressure (r = -0.436). In multivariable generalized estimating equation (GEE) models that accounted for inter - eye correlation and maternal covariates, serum uric acid remained independently associated with a narrower retinal arterial caliber, while diastolic blood pressure was independently associated with a reduced macular venous caliber. No independent associations were detected for the arteriovenous ratio or fractal dimension. Vascular density and the arterial branching angle were significantly correlated with 24-h urinary protein excretion, and the arterial branching angle was the sole parameter showing a between - group difference between GH and PE. These findings imply that the narrowing of the retinal vascular caliber represents a consistent microvascular alteration in hypertensive disorders of pregnancy (HDP), with differential arterial - venous association patterns observed in multivariable analyses. AI - assisted quantitative retinal assessment offers an objective framework for investigating systemic microvascular alterations in HDP and requires validation in larger longitudinal studies.

Indexed as

artificial intelligenceearly diagnosishypertensive disorders of pregnancypreeclampsiaproteinuriaretinal microvasculature

Identifiers

PMID42459828
PMCPMC13368708

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