Increased Systemic Immune-Inflammation Index Levels in Patients with Dry Eye Disease

Özcan, Deniz Özarslan; Kurtul, Bengi Ece; Özcan, Sait Coşkun; Elbeyli, Ahmet

doi:10.1080/09273948.2020.1821899

Cited by 33 publications

(36 citation statements)

References 19 publications

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“…Neutrophils affect the ocular surface in ways other than neutrophil extracellular trap formation. Systemic immune-inflammation index (SII) levels, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio were higher in patients with dry eye disease [ 180 ]. The neutrophil-to-lymphocyte ratio is calculated as neutrophil count divided by the lymphocyte count [ 181 ] and may be useful to estimate the activity of autoimmune and inflammatory diseases [ 182 ].…”

Section: Neutrophils On the Ocular Surfacementioning

confidence: 99%

Role of Neutrophils on the Ocular Surface

Mun

Hwang

Shin

2021

IJMS

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The ocular surface is a gateway that contacts the outside and receives stimulation from the outside. The corneal innate immune system is composed of many types of cells, including epithelial cells, fibroblasts, natural killer cells, macrophages, neutrophils, dendritic cells, mast cells, basophils, eosinophils, mucin, and lysozyme. Neutrophil infiltration and degranulation occur on the ocular surface. Degranulation, neutrophil extracellular traps formation, called NETosis, and autophagy in neutrophils are involved in the pathogenesis of ocular surface diseases. It is necessary to understand the role of neutrophils on the ocular surface. Furthermore, there is a need for research on therapeutic agents targeting neutrophils and neutrophil extracellular trap formation for ocular surface diseases.

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Section: Neutrophils On the Ocular Surfacementioning

confidence: 99%

Role of Neutrophils on the Ocular Surface

Mun

Hwang

Shin

2021

IJMS

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“…Another interesting finding of this study is that SII was reported to be significantly higher in patients with RVO compared to controls for the first time, enhancing the theory about the involvement of inflammation in RVO pathogenesis. This specific index is the combination of the three main factors of inflammatory response measured in complete blood count, i.e., platelets, neutrophils, and lymphocytes, and has been found to be elevated in other inflammatory disorders, such as coronary artery disease and autoimmune diseases [ 20 , 21 ], as well as in patients with dry eye disease [ 23 ].…”

Section: Discussionmentioning

confidence: 99%

“…In addition, systemic immune-inflammation index (SII), a combination of three peripheral inflammatory cells, is a novel inflammatory biomarker, which has been proposed as a prognostic indicator in several clinical entities, including coronary artery disease, cancer, and autoimmune disorders [ 20 , 21 ]. Interestingly, SII has been found to be elevated in primary open-angle glaucoma and dry eye disease [ 22 , 23 ], while the clinical relevance of SII in patients with RVO has not been described to date.…”

Section: Introductionmentioning

confidence: 99%

Complete Blood Count-Derived Inflammation Indices and Retinal Vein Occlusion: A Case–Control Study

et al. 2022

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Introduction This study evaluated complete blood count-derived inflammation indices in patients with retinal vein occlusion (RVO). Methods Participants in this case–control study were 54 patients with RVO and 54 age- and sex-matched control subjects. All participants underwent a thorough ophthalmic examination, as well as blood sample testing for complete blood count. Comparison of all parameters derived from complete blood count as well as calculation of specific indices was performed between patients with RVO and controls. Results Patients with RVO presented significantly higher white blood cell count ( p = 0.033), neutrophil count ( p = 0.003), neutrophil-to-lymphocyte ratio (NLR, p = 0.002), red cell distribution width (RDW, p = 0.009), mean platelet volume (MPV, p = 0.023), and systemic immune-inflammatory index (SII, p = 0.007) compared to controls. Receiver operator characteristic curve (ROC) analysis showed that NLR was superior to other inflammatory indices, having the greatest area under the curve. The optimal cutoff value for NLR to predict RVO was 2.29 with 46.2% sensitivity and 77.8% specificity. Conclusion Patients with RVO presented increased NLR, RDW, MPV, and SII, providing evidence that inflammation plays an important role in the pathogenesis of RVO. Complete blood cell count-derived indices can be easily calculated and may serve as an easy, simple, and cost-effective tool to evaluate the degree of systemic inflammation in patients with RVO, so as to potentially guide treatment.

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“…Therefore, it may accurately reflect the immune-inflammatory state. The diagnostic and prognostic values of SII in some ophthalmological diseases were already presented [ 29 , 30 ]. In our study, SII had the highest correlation with the CMT of the PCME group, and most importantly, SII was the only predictor of PCME occurrence in the logistic regression model.…”

Section: Discussionmentioning

confidence: 99%

Systemic immune-inflammation index could be associated with pseudophakic cystoid macular edema after an uneventful phacoemulsification surgery in patients without risk factors

2022

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Background To evaluate the association between serum biomarkers and pseudophakic cystoid macular edema (PCME) in eyes without risk factors after uneventful phacoemulsification cataract surgery. Methods This is a case–control study. Patients without risk factors and who developed clinically significant PCME after uncomplicated phacoemulsification surgery were enrolled in the study. The age- and sex-matched control group that had normal fundus examination findings and 10/10 visual acuity in the first week, first month and following postoperative control visits was randomly recruited from the same study cohort. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) were obtained from the preoperative complete blood count (CBC) test and compared between the two groups. Linear regression analysis was used to assess the relationship between central macular thickness (CMT) and biomarkers. A binary logistic regression model was generated to evaluate the significance of the biomarkers in predicting PCME. The receiver operating characteristic (ROC) curves of the significant parameters in the logistic regression model were presented to detect the area under the curve (AUC), the cut-off point, the sensitivity and the specificity. Results The study cohort included 5352 patients. Of these patients, 52 (0.97%) met the inclusion criteria, and 60 age- and sex-matched patients were recruited as the control group. PLR, NLR, and SII were significantly different between the two groups (p = 0.006, p = 0.002, p < 0.001, respectively). According to the linear regression analysis, SII was found to have a significant relationship with CMT (p < 0.001). Only SII was assessed as significant in the logistic regression model (p = 0.046). In the ROC curve, the AUC of SII was 0.709. The sensitivity and specificity of SII for PCME prediction were 65.38% and 75%, respectively, and the cut-off point was 433.70. Conclusion SII is associated with the occurrence of PCME in eyes without risk factors after uneventful phacoemulsification surgery. SII could be a useful tool to predict PCME in eyes without risk factors.

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Increased Systemic Immune-Inflammation Index Levels in Patients with Dry Eye Disease

Cited by 33 publications

References 19 publications

Role of Neutrophils on the Ocular Surface

Role of Neutrophils on the Ocular Surface

Complete Blood Count-Derived Inflammation Indices and Retinal Vein Occlusion: A Case–Control Study

Systemic immune-inflammation index could be associated with pseudophakic cystoid macular edema after an uneventful phacoemulsification surgery in patients without risk factors

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