The Correlation between Systemic Immune-Inflammation Index and Retinal Vein Occlusion
Objective:To investigate research on the correlation between hematological inflammatory markers and retinal vein occlusion(RVO).Methods:This was a retrospective case series study.This study continuously collected data from 100 patients who were first diagnosed with RVO between January 2023 to December 2023.A control group of 100 healthy individuals,matched for age and gender,was selected from a health examination center during the same period.The analysis of the two groups included demographic factors such as age,sex,medical history of hypertension and diabetes,ophthalmic examination results,and laboratory inflammatory markers related to blood cell counts.Comparisons between the groups were conducted using independent samples t-test,Mann-Whitney U test,and Chi-square test.The correlations of various indicators with receiver operating characteristic(ROC)were assessed using univariate and multivariate logistic regression analyses.Results:The RVO group and the control group showed statistically significant differences in the history of hypertension(x2=4.32,P=0.038),neutrophil count(Z=4.56,P＜0.001),lymphocyte count(Z=-4.26,P＜0.001),neutrophil-to-lymphocyte ratio(NLR)(Z=7.13,P＜0.001),platelet-to-lymphocyte ratio(PLR)(Z=4.13,P＜0.001),monocyte-to-lymphocyte ratio(MLR)(Z=4.86,P＜0.001),systemic immune-inflammation index(SII)(Z=6.54,P＜0.001),and systemic immune response index(SIRI)(Z=6.03,P＜0.001).No statistically significant differences were observed for age,gender,history of diabetes,monocyte count,and platelet count(P＞0.05).Univariate logistic regression analysis indicated that neutrophil count(OR=1.97,P＜0.001),lymphocyte count(OR=0.26,P＜0.001),PLR(OR=1.00,P＜0.001),NLR(OR=10.66,P＜0.001),SII(OR=1.01,P＜0.001),and SIRI(OR=16.93,P＜0.001)were significantly associated with RVO disease.In the multivariate logistic regression model,NLR(OR=0.19,P=0.002)and SII(OR=0.99,P=0.006)were associated with RVO disease,with SII showing the strongest correlation.ROC curve analysis revealed an AUC value of 0.85 for SII,with an optimal cutoff value of 504 for diagnosing RVO,a sensitivity of 88％,and a specificity of 67％.SII demonstrated the best diagnostic efficacy for RVO.Conclusions:Compared to the healthy control group,patients in the RVO group exhibite a significant increase in SII.SII is identified as an independent risk factor for the occurrence of RVO.
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