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Updated: Jan 8, 2026

Optimization of the Retinal Vein Occlusion Mouse Model to Limit Variability
Published on: August 6, 2021
Inflammatory and hematologic biomarker profiles across central branch and hemi-retinal vein occlusion
Pankaj Kushwaha1, Anjali Singh1, Praher Shrivastava2
1Department of Ophthalmology, Chhindwara Institute of Medical Sciences, Chhindwara, Madhya Pradesh, India.
Abstract:
Retinal vein occlusion (RVO) is a common vision-threatening vascular disorder, yet reliable biomarkers to predict its severity at first presentation are lacking. Therefore, it is of interest to assess complete blood counts and fasting lipids within 24 hours of diagnosis of 50 newly diagnosed Retinal vein occlusion (RVO) eyes and 50 controls. Neutrophil-to-lymphocyte ratios (NLR), platelet-to-lymphocyte ratio (PLR) and monocyte-to-HDL ratio (MHR) were calculated; severity was graded clinically and angiographically. Logistic regression adjusted for age, hypertension, diabetes and LDL and Receiver-operating characteristics (ROC) determined optimal cut-offs. Simple ratios derived from a haemogram strongly predicted RVO severity independent of traditional risk factors. NLR and PLR could be incorporated into first-visit triage to prioritize fluorescein angiography and early anti-VEGF therapy in high-risk eyes.
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