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

Blood Whispers: Exploring Hematologic Indicators for Diagnosing and Predicting Severity of Vogt-Koyanagi-Harada Syndrome

PURPOSE

To investigate the association of clinical findings and indocyanine green angiography (ICGA) score with inflammatory markers derived from complete blood count (CBC) parameters in patients with Vogt-Koyanagi-Harada (VKH) to determine the diagnostic and predictive role.

METHODS

Demographic characteristics, presenting complaints, ocular findings, optical coherence tomography findings, ICGA scores and best corrected visual acuity were recorded in treatment-naive VKH patients at presentation. Patients were divided into two groups as acute stage and chronic recurrent stage. CBC parameters were noted in patients at presentation and healthy controls (HC, n = 25). Neutrophil-lymphocyte-platelet-monocyte counts, neutrophil/lymphocyte (NLR), platelet/lymphocyte (PLR), monocyte/lymphocyte and systemic immune-inflammation index (SII) were recorded. The association between these markers and clinical severity were evaluated.

RESULTS

Thirty-two patients with VKH (23 females/9 males) with a mean age of 34.1 ± 14.6 years were included in the study. There was an increase in neutrophil count, NLR and SII in patients with VKH compared to HC (p < 0.001). The cut-off values for these three parameters were 4.37, 2.24 and 562.35, respectively. Twenty-six patients presented in the acute stage and six patients presented in the chronic recurrent stage. Choroidal thickness, early stromal hyperfluorescence and total ICGA scores were higher in patients presenting in the acute stage (p < 0.001, 0.001 and 0.025, respectively). Patients with higher disease severity at presentation were treated earlier. Early stromal vessel hyperfluorescence and choroidal vasculitis scores were correlated with decreased lymphocyte count, increased NLR, PLR and SII (p < 0.05).

CONCLUSION

CBC-derived inflammatory parameters indicate that VKH is a systemic inflammation. These parameters can be used in the diagnosis and determination of disease severity of VKH.

Evaluation of Ocular Surface Parameters and Systemic Inflammatory Biomarkers in Hazelnut Harvesters

AIM

To assess the relationship between systemic inflammation markers and ocular surface parameters in hazelnut harvesters.

MATERIAL AND METHOD

This prospective study included 30 patients presenting with moderate ocular surface diseases during the hazelnut harvesting season. A detailed ophthalmological examination was performed during the harvesting season and the first month after the end of treatment (control). Schirmer test, tear break-up time (TBUT), and ocular surface disease index (OSDI) scores were determined. In complete blood count analysis, in addition to the evaluation of inflammatory cells, the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) were calculated.

RESULTS

Eosinophil percentage had a high level of negative correlation with the TBUT and Schirmer values and a high level of positive correlation with the OSDI score during the hazelnut picking season (r = -0.727, r = -0.735, r = 0.750, respectively). During the hazelnut harvesting season, the NLR and SII parameters had a moderate level of negative correlation with the TBUT (r = -0.29 and r = -0.276) and Schirmer (r = -0.33 and r = -0.298) values and a moderate level of positive correlation with the OSDI score (r = 0.389 and r = 0.264).

CONCLUSION

In hazelnut harvesters, ocular allergy and inflammation may be associated with systemic biomarkers.

Monocyte-to-high-density lipoprotein ratio and systemic immune-inflammation index: Potential parameters for the evaluation of disease activity and severity in Graves' ophthalmopathy?

PURPOSE

To assess changes in monocyte-to-high-density lipoprotein (HDL) ratio (MHR), neutrophil-to-lymphocyte ratio (NLR), and systemic immune-inflammation index (SII) with Graves' ophthalmopathy (GO) and their possible relation with GO disease activity and severity.

METHODS

A total of 20 patients with GO and 24 healthy controls were involved in the study. The thyroid status, MHR (monocyte count/HDL cholesterol level), NLR (neutrophil count/lymphocyte count) and SII [(neutrophil count × platelet count)/lymphocyte count] were compared between the groups. The relation of systemic inflammation parameters with disease activity and severity was evaluated.

RESULTS

The mean Clinical Activity Score (CAS) was 0.75 ± 0.78 in the GO group. None of the patients were active. The severity was mild for 14 (70.0%) patients and moderate-to-severe for 6 (30.0%) patients. MHR (17.28 ± 5.56 vs. 13.28 ± 5.08), NLR (2.51 ± 1.09 vs. 1.69 ± 0.53) and SII [600.42 (391.79-837.16) vs. 413.69 (344.26-603.82)] values were significantly increased in GO patients than in the controls (p = 0.017, p = 0.005 and p = 0.036, respectively). CAS was significantly correlated with MHR (r = 0.815, p < 0.001), NLR (r = 0.768, p = 0.017) and SII (r = 0.837, p < 0.001). The severity of GO was associated with increased MHR, NLR and SII (p = 0.019, p = 0.036 and p = 0.008, respectively). ROC analysis demonstrated that MHR, NLR and SII have a good ability to differentiate GO patients from healthy individuals.

CONCLUSION

GO patients have higher MHR and SII levels than healthy controls. Higher MHR, NLR and SII values were associated with increasing disease severity and activity, supporting the efficacy of these non-invasive, low-cost markers in determining the course of GO. Future prospective controlled trials are needed to elucidate the relation between inflammatory markers and GO.

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

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.

The diagnostic role of the systemic inflammation index in patients with immunological diseases: a systematic review and meta-analysis

The identification of novel, easily measurable biomarkers of inflammation might enhance the diagnosis and management of immunological diseases (IDs). We conducted a systematic review and meta-analysis to investigate an emerging biomarker derived from the full blood count, the systemic inflammation index (SII), in patients with IDs and healthy controls. We searched Scopus, PubMed, and Web of Science from inception to 12 December 2023 for relevant articles and evaluated the risk of bias and the certainty of evidence using the Joanna Briggs Checklist and the Grades of Recommendation, Assessment, Development, and Evaluation Working Group system, respectively. In 16 eligible studies, patients with IDs had a significantly higher SII when compared to controls (standard mean difference, SMD = 1.08, 95% CI 0.75 to 1.41, p < 0.001; I2 = 96.2%, p < 0.001; moderate certainty of evidence). The pooled area under the curve (AUC) for diagnostic accuracy was 0.85 (95% CI 0.82-0.88). In subgroup analysis, the effect size was significant across different types of ID, barring systemic lupus erythematosus (p = 0.20). In further analyses, the SII was significantly higher in ID patients with active disease vs. those in remission (SMD = 0.81, 95% CI 0.34-1.27, p < 0.001; I2 = 93.6%, p < 0.001; moderate certainty of evidence). The pooled AUC was 0.74 (95% CI 0.70-0.78). Our study suggests that the SII can effectively discriminate between subjects with and without IDs and between ID patients with and without active disease. Prospective studies are warranted to determine whether the SII can enhance the diagnosis of IDs in routine practice. (PROSPERO registration number: CRD42023493142).

Evaluation of systemic immune-inflammatory index in patients with wet age-related macular degeneration

CLINICAL RELEVANCE

The systemic immune-inflammatory index is a relatively new parameter and has been shown to increase in inflammatory diseases.

BACKGROUND

The primary aim of this study was to investigate the systemic immune-inflammatory index in patients with wet-type age-related macular degeneration. The secondary aim was to determine the relationship between best-corrected visual acuity, central macular thickness, subfoveal choroidal thickness, systemic immune-inflammatory index, platelet-to-lymphocyte ratio, and neutrophil-to-lymphocyte ratio.

METHODS

This study retrospectively analysed patients with wet-type age-related macular degeneration between 2018 and 2022. Demographic data and peripheral complete blood count were obtained from the electronic medical record system. The most recent best-corrected visual acuity, central macular thickness, and subfoveal choroidal thickness values (within one month) for complete blood count were obtained from case sheets and the optical coherence tomography digital image database. The systemic immune-inflammatory index, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio were calculated. Age- and sex-matched controls were also generated.

RESULTS

Thirty-three patients (23 males, 10 females) with wet-type age-related macular degeneration and 43 controls (24 males, 19 females) were included. The groups were similar in terms of age and sex (78.0 ± 6.3 vs. 75.6 ± 6.6 years, p = 0.59; p = 0.38 for sex). The systemic immune-inflammatory index was higher in the wet-type age-related macular degeneration group (460.5 vs. 440.4); however, this difference was not statistically significant. When the correlations between the systemic immune-inflammatory index, platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, best-corrected visual acuity (logMAR), central macular thickness, and subfoveal choroidal thickness were examined, there was only a moderate positive correlation between best-corrected visual acuity and platelet-to-lymphocyte ratio (r = 0.46, p = 0.007).

CONCLUSION

There were no differences in the systemic immune-inflammatory index, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio between the wet-type age-related macular degeneration and control groups. There was a positive correlation between the platelet-to-lymphocyte ratio and best-corrected visual acuity (logMAR). The systemic immune-inflammatory index was higher in patients with wet-type age-related macular degeneration than in the control group; however, this difference was not statistically significant.

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

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.

The inflammatory potential of diet is associated with the risk of age-related eye diseases

BACKGROUND & AIMS

Inflammation is involved in the pathogenesis of cataract, age-related macular degeneration (AMD), and possibly open-angle glaucoma (OAG). We assessed whether the inflammatory potential of diet (quantified using the dietary inflammatory index; DII) affects the incidence of these common blinding age-related eye diseases. Serum inflammation markers were investigated as possible mediators.

METHODS

Participants aged >45 years were selected from the prospective, population-based Rotterdam Study. From 1991 onwards, every 4-5 years, participants underwent extensive eye examinations. At baseline, blood samples and dietary data (using food frequency questionnaires) were collected. The DII was adapted based on the data available. Of the 7436 participants free of eye diseases at baseline, 4036 developed incident eye diseases during follow-up (cataract = 2895, early-intermediate AMD = 891, late AMD = 81, OAG = 169).

RESULTS

The adapted DII (aDII) ranged from -4.26 (i.e., anti-inflammatory) to 4.53 (i.e., pro-inflammatory). A higher aDII was significantly associated with increased inflammation. A higher neutrophil-lymphocyte ratio (NLR) was associated with an increased risk of cataract and AMD. Additionally, complement component 3c (C3c) and systemic immune-inflammation index (SII) were associated with increased risks of cataract and late AMD, respectively. Every point increase in the aDII was associated with a 9% increased risk of cataract (Odds ratio [95% confidence interval]: 1.09 [1.04-1.14]). The NLR and C3c partly mediated this association. We also identified associations of the aDII with risk of AMD (early-intermediate AMD, OR [95% CI]: 1.11 [1.03-1.19]; late AMD, OR [95% CI]: 1.24 [1.02-1.53]). The NLR partly mediated these associations. The aDII was not associated with OAG.

CONCLUSIONS

A pro-inflammatory diet was associated with increased risks of cataract and AMD. Particularly the NLR, a marker of subclinical inflammation, appears to be implicated. These findings are relevant for patients with AMD and substantiate the current recommendations to strive for a healthy lifestyle to prevent blindness.

Comprehensive profiling of extracellular vesicles in uveitis and scleritis enables biomarker discovery and mechanism exploration

BACKGROUND

Uveitis and posterior scleritis are sight-threatening diseases with undefined pathogenesis and accurate diagnosis remains challenging.

METHODS

Two plasma-derived extracellular vesicle (EV) subpopulations, small and large EVs, obtained from patients with ankylosing spondylitis-related uveitis, Behcet's disease uveitis, Vogt-Koyanagi-Harada syndrome, and posterior scleritis were subjected to proteomics analysis alongside plasma using SWATH-MS. A comprehensive bioinformatics analysis was performed on the proteomic profiles of sEVs, lEVs, and plasma. Candidate biomarkers were validated in a new cohort using ELISA. Pearson correlation analysis was performed to analyze the relationship between clinical parameters and proteomic data. Connectivity map database was used to predict therapeutic agents.

RESULTS

In total, 3,668 proteins were identified and over 3000 proteins were quantified from 278 samples. When comparing diseased group to healthy control, the proteomic profiles of the two EV subgroups were more correlated with disease than plasma. Comprehensive bioinformatics analysis highlighted potential pathogenic mechanisms for these diseases. Potential biomarker panels for four diseases were identified and validated. We found a negative correlation between plasma endothelin-converting enzyme 1 level and mean retinal thickness. Potential therapeutic drugs were proposed, and their targets were identified.

CONCLUSIONS

This study provides a proteomic landscape of plasma and EVs involved in ankylosing spondylitis-related uveitis, Behcet's disease uveitis, Vogt-Koyanagi-Harada syndrome, and posterior scleritis, offers insights into disease pathogenesis, identifies valuable biomarker candidates, and proposes promising therapeutic agents.

Systemic immuno-inflammatory index in patients with pseudoexfoliation syndrome and pseudoexfoliative glaucoma

Background

In recent years, the role of some hematological parameters used as chronic inflammation markers in the pathogenesis of many ocular and systemic diseases has been investigated. For ocular diseases such as uveitis, keratoconus, and retinal vein occlusion, the neutrophil/lymphocyte ratio (NLR) and systemic immune-inflammatory index (SII) have been reported to be useful inflammatory biomarkers. It has also been reported that low-grade chronic inflammation plays a role in the formation of pseudoexfoliation.

Objective

To evaluate the NLR, SII, and platelet-lymphocyte ratio (PLR) in patients with pseudoexfoliation syndrome (PEXS) and pseudoexfoliative glaucoma (PEXG).

Design

This was a retrospective case-control study.

Methods

This study evaluated the clinical and laboratory data of 34 patients with PEXS, 33 patients with PEXG, and 33 control patients. Detailed eye examination notes in patient files and blood count measurements were recorded.

Results

SII values were the highest in the PEXS group, followed by the PEXG and control groups (582.01 ± 339.9, 478.14 ± 211.7, and 413.98 ± 129.5, respectively) (p = 0.043). In paired comparisons, the SII values of the PEXS group were significantly higher than the control group (p = 0.011). The mean NLR rate was highest in the PEXS group, followed by the PEXG and the control groups (2.46 ± 1.6, 2.17 ± 0.8, and 1.69 ± 0.4, respectively) (p = 0.023). In paired comparisons, the mean NLR levels were higher in the PEXS and the PEXG groups than in the control group (p = 0.03 and p = 0.01, respectively). There was no significant difference between the groups in terms of PLR. According to receiver operating characteristic curve analysis, the optimal cut-off value for estimating PEXS was found as >449.4 for SII and 1.78 for NLR (p = 0.011 and p = 0.031, respectively).

Conclusions

In PEXS patients, both SII and NLR were significantly higher, albeit in a small group of patients, and SII may be a helpful and supportive parameter for NLR in risk estimation in these patients. There was a statistically significant difference only in NLR in patients with PEXG when compared with the control group. However, these results need to be supported by future longitudinal and larger studies to identify any possible link between hematological inflammatory markers and pseudoexfoliation.

Another Etiological Factor of Meibomian Gland Loss in Patients with Polycystic Ovary Syndrome: Inflammation

Purpose: The purpose of this prospective study was to compare the tear film pattern, meibomian gland (MG) losses in patients with polycystic ovary syndrome (PCOS) and healthy individuals in the control group, and to examine the correlation between peripheral blood values and findings in patients with PCOS. Methods: Eighty-one eyes of 81 patients with PCOS and 78 eyes of 78 healthy individuals were included in this study. Mean noninvasive first tear film break-up time (NIF-BUT) values and the mean noninvasive average tear film break-up time (NIAvg-BUT) values of all breaking-up occurring in the test were compared. MG losses were compared between the groups. In the second step of this study, we examined the correlation between NIF-BUT and NIAvg-BUT values and MG losses with inflammatory parameters. Results: NIF-BUT values were 7.21 ± 5.75 and 10.18 ± 5.90 s, respectively, in PCOS and control groups (P = 0.001). Loss of MG in the upper eyelids (SM-SCL) of PCOS and control group was 39.81 ± 16.34 and 17.84 ± 9.48, respectively (P = 0.000). Positive correlation was detected between SM-SCL value and neutrophil/lymphocyte ratio; platelet/lymphocyte ratio (P/L); and systemic immune-inflammation index, the value obtained from platelet count × (neutrophil/lymphocyte). Conclusion: Increased tear film instability and increased MG loss rates were detected in PCOS patients. In addition, we found a positive correlation between MG losses and inflammatory indices of patients with PCOS. We think that inflammatory processes also provide an additive effect, in addition to hormonal changes on the physiopathological process on the ocular surface in patients with PCOS.

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

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.

A Network of Serum Proteins Predict the Need for Systemic Immunomodulatory Therapy at Diagnosis in Noninfectious Uveitis

Purpose

Early identification of patients with noninfectious uveitis requiring steroid-sparing immunomodulatory therapy (IMT) is currently lacking in objective molecular biomarkers. We evaluated the proteomic signature of patients at the onset of disease and associated proteomic clusters with the need for IMT during the course of the disease.

Design

Multicenter cohort study.

Participants

Two hundred thirty treatment-free patients with active noninfectious uveitis.

Methods

We used aptamer-based proteomics (n = 1305 proteins) and a bioinformatic pipeline as a molecular stratification tool to define the serum protein network of a Dutch discovery cohort (n = 78) of patients and healthy control participants and independently validated our results in another Dutch cohort (n = 111) and a United States cohort (n = 67). Multivariate Cox analysis was used to assess the relationship between the protein network and IMT use.

Main Outcome Measures

Serum protein levels and use of IMT.

Results

Network-based analyses revealed a tightly coexpressed serum cluster (n = 85 proteins) whose concentration was consistently low in healthy control participants (n = 26), but varied among patients with noninfectious uveitis (n = 52). Patients with high levels of the serum cluster at disease onset showed a significantly increased need for IMT during follow-up, independent of anatomic location of uveitis (hazard ratio, 3.42; 95% confidence interval, 1.22–9.5; P = 0.019). The enrichment of neutrophil-associated proteins in the protein cluster led to our finding that the neutrophil count could serve as a clinical proxy for this proteomic signature (correlation: r = 0.57, P = 0.006). In an independent Dutch cohort (n = 111), we confirmed that patients with relatively high neutrophil count at diagnosis (> 5.2 × 10⁹/L) had a significantly increased chance of requiring IMT during follow-up (hazard ratio, 3.2; 95% confidence interval, 1.5–6.8; P = 0.002). We validated these findings in a third cohort of 67 United States patients.

Conclusions

A serum protein signature correlating with neutrophil levels was highly predictive for IMT use in noninfectious uveitis. We developed a routinely available tool that may serve as a novel objective biomarker to aid in clinical decision-making for noninfectious uveitis.

Assessment of Systemic Immune-inflammation Index Levels in Patients with Retinal Vein Occlusion

PURPOSE

To assess the predictive value of inflammatory markers calculated from complete blood counts in patients with retinal vein occlusion (RVO).

METHODS

This was a retrospective cross-sectional study with a total of 56 RVO patients and 56 age- and gender-matched controls involved. All subjects went through a routine ocular examination, and the peripheral venous blood samples were collected to analyze the differences in inflammatory markers between groups.

RESULTS

The systemic immune-inflammation index (SII) and neutrophil-to-lymphocyte ratio (NLR) values were significantly higher in RVO patients than those in the controls (p=0.002, p=0.004, respectively). According to the receiver operating characteristic (ROC) curve analysis, the areas under the curve (AUC) of SII was 0.666. The AUC of NLR was 0.657.

CONCLUSION

As a novel inflammatory indicator, SII is a more promising indicator than NLR and PLR in the prediction of RVO development.