Evaluation of systemic immune-inflammation index level as a novel marker for severity of noninfectious uveitis

Kurtul, Bengi Ece; Çakmak, Ayşe; Elbeyli, Ahmet; Özcan, Sait Coşkun; Özcan, Deniz Özarslan; Kimyon, Gezmiş

doi:10.1007/s10792-021-01924-9

Cited by 18 publications

(18 citation statements)

References 23 publications

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“…36,37 SII has been established as a powerful marker for predicting prognosis and survival in patients with inflammatory diseases and malignancies. 38-40 It has been linked to pathologies that may result in serious cardiac adverse events such as an ectatic coronary artery, slow flow phenomenon, and microvascular dysfunction. 41-43 Recent studies have found that SII is a reliable predictor of the severity of CAD and poor long-term prognosis in patients with acute coronary syndrome.…”

Section: Discussionmentioning

confidence: 99%

Comparison of Systemic Immune-Inflammation Index and Naples Prognostic Score for Prediction Coronary Artery Severity Patients Undergoing Coronary Computed Tomographic Angiography

et al. 2023

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This study compared the predictive power of the systemic immune-inflammation index (SII) and Naples prognostic score (NPS) in determining the severity of coronary artery disease (CAD). The study included 1138 patients who underwent coronary computed tomographic angiography (CCTA). The primary outcome was the evaluation of CAD severity, determined by the Coronary Artery Disease-Reporting and Data System (CAD-RADS) obtained from the CCTA scans. A basic statistical model including age, gender, chest pain, diabetes mellitus, hypertension, hyperlipidemia, and smoking was built, and categorical variables, NPS (Naples 3,4 vs 0,1,2) and SII, were added to the basic statistical model. The net benefits of the predictive parameters were determined by a decision curve analysis, and the association between CAD-RADS and NPS, SII was quantified by odds ratios (OR) and 95% confidence intervals (CI). The decision curve analysis showed that adding SII to the statistical model had a better full range of probability of clinical net benefit compared with the baseline model (OR: 5.77, 95% CI 4.15–8.02, P < .001). However, adding the NPS ( P = .11) to the model did not outperform the basic statistical model. In conclusion, the SII may have a net predictive effect on top of traditional risk factors.

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Section: Discussionmentioning

confidence: 99%

Comparison of Systemic Immune-Inflammation Index and Naples Prognostic Score for Prediction Coronary Artery Severity Patients Undergoing Coronary Computed Tomographic Angiography

et al. 2023

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“…25 It has since been studied in several disease states and established as an effective marker of prognosis. [26][27][28][29][30][31] The SII has also been examined for its diagnostic and prognostic role in various cardiovascular diseases.…”

Section: Discussionmentioning

confidence: 99%

“…25 It has since been studied in several disease states and established as an effective marker of prognosis. 26-31 The SII has also been examined for its diagnostic and prognostic role in various cardiovascular diseases. Besides predicting the severity of CAD and mortality in ACS, the SII has been demonstrated to predict mortality in infective endocarditis.…”

Section: Discussionmentioning

confidence: 99%

Development of a Novel Inflammatory Index to Predict Coronary Artery Disease Severity in Patients With Acute Coronary Syndrome

Mangalesh¹,

Dudani²,

Mahesh

2023

Angiology

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The systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) have previously demonstrated predictive value in coronary artery disease (CAD). We developed on an expanded, novel systemic immune-inflammation response index (SIIRI), calculated as peripheral neutrophil × monocyte × platelet ÷ lymphocyte count. We assessed 240 patients with an acute coronary syndrome that subsequently underwent percutaneous coronary intervention. CAD severity was measured using the SYNTAX score. Laboratory measurements, including cell counts, were obtained on admission. On multivariate analysis, the SIIRI was an independent predictor of severe CAD with an adjusted odds ratio (OR) of 1.666 [1.376-2.017] per 105-unit increase. The SIIRI had the highest area under the receiver operator curve of .771 [.709-.833] compared to the SII, SIRI neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, and platelet-lymphocyte ratio. The optimal cut-off for SIIRI was 4.3 × 105, with sensitivity = 69.9% and specificity = 75.8%. Increment in model performance resulting from adding SIIRI versus other inflammatory indices was assessed using discrimination, calibration, and goodness-of-fit measures. When added to a baseline model, the SIIRI resulted in a significant increase in the c-statistic and significant net reclassification index (.808, P < .0001) and integrated discrimination index (.129, P < .0001), and a decrease in Akaike and Bayesian information criteria.

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“…Elbeyli et al [ 31 ] indicated that SII is a superior marker to determine diabetic macular edema in diabetic retinopathy compared to NLR and PLR. Kurtul et al [ 32 ] examined the usefulness of NLR, PLR, and SII in determining disease severity and activity in noninfectious uveitis. They demonstrated that SII was the most robust biomarker in identifying the severity of anterior uveitis, which was classified according to the anterior chamber cell intensity, and SII was the only significant biomarker in detecting the severity of posterior uveitis, which was classified according to the severity of vitreous haze, and finally, they concluded that SII was the most beneficial parameter compared with NLR and PLR in assessing disease severity.…”

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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Evaluation of systemic immune-inflammation index level as a novel marker for severity of noninfectious uveitis

Cited by 18 publications

References 23 publications

Comparison of Systemic Immune-Inflammation Index and Naples Prognostic Score for Prediction Coronary Artery Severity Patients Undergoing Coronary Computed Tomographic Angiography

Comparison of Systemic Immune-Inflammation Index and Naples Prognostic Score for Prediction Coronary Artery Severity Patients Undergoing Coronary Computed Tomographic Angiography

Development of a Novel Inflammatory Index to Predict Coronary Artery Disease Severity in Patients With Acute Coronary Syndrome

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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