Systemic Immune-Inflammation Index (SII) Predicts Increased Severity in Psoriasis and Psoriatic Arthritis

Exploring the inverse relationship between serum total bilirubin and systemic immune-inflammation index: insights from NHANES data (2009-2018)

BACKGROUND

Bilirubin is known for its multifaceted attributes, including antioxidant, anti-inflammatory, immunomodulatory, and antiapoptotic properties. The systemic immune-inflammation index (SII) is a recent marker that reflects the balance between inflammation and immune response. Despite the wealth of information available on bilirubin's diverse functionalities, the potential correlation between the total bilirubin (TB) levels and SII has not been investigated so far.

METHODS

Leveraging data from the National Health and Nutrition Examination Survey spanning 2009-2018, the TB levels were categorized using tertiles. Employing the chi-squared test with Rao and Scott's second-order correction and Spearman's rank correlation analysis, the association between TB and SII was examined. The potential nonlinearities between TB and SII were evaluated using restricted cubic spline (RCS) analysis. Weighted linear regression, adjusted for covariates, was used to explore the correlation between TB and SII, with further subgroup analyses.

RESULTS

A total of 16,858 participants were included, and the findings revealed significant SII variations across TB tertiles (p < 0.001). The third tertile (Q3) exhibited the lowest SII level at 495.73 (295.00) 1000 cells/µL. Spearman rank correlation disclosed the negative association between TB and SII. RCS analysis exposed the lack of statistically significant variations in the nonlinear relationship (p > 0.05), thereby providing support for a linear relationship. Weighted linear regression analysis underscored the negative correlation between TB and SII (β 95% CI - 3.9 [- 5.0 to  - 2.9], p < 0.001). The increase in the TB levels is associated with a significant linear trend toward decreasing SII. After controlling for relative covariates, this negative correlation increased (p < 0.001). Subgroup analysis confirmed the significant negative TB-SII association.

CONCLUSION

A notable negative correlation between TB and SII implies the potential protective effects of bilirubin in inflammation-related diseases.

Association of the systemic immune-inflammation index with all-cause and cardiovascular mortality in individuals with rheumatoid arthritis

The systemic immune-inflammation index (SII), a metric reflecting systemic inflammatory response and immune activation, remains underexplored concerning its correlation with mortality among rheumatoid arthritis (RA) patients. This study aimed to delineate the association between SII and both all-cause and cardiovascular mortality within the cohort of American adults diagnosed with RA, utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018. The investigation extracted data from NHANES cycles between 1999 and 2018, identifying RA patients through questionnaire responses. The SII was computed based on complete blood counts, employing the formula: (platelets × neutrophils) / lymphocytes. The optimal SII cutoff value for significant survival outcomes was determined using maximally selected rank statistics. Multivariable Cox proportional hazards models assessed the relationship between SII levels and mortality (all-cause and cardiovascular) among RA patients, with subgroup analyses examining potential modifications by clinical confounders. Additionally, restricted cubic spline (RCS) analyses were conducted to explore the linearity of the SII-mortality association. The study encompassed 2070 American adults with RA, among whom 287 exhibited a higher SII (≥ 919.75) and 1783 a lower SII (< 919.75). Over a median follow-up duration of 108 months, 602 participants died. After adjustments for demographic, socioeconomic, and lifestyle variables, a higher SII was associated with a 1.48-fold increased risk of all-cause mortality (hazard ratio [HR] = 1.48, 95% confidence interval [CI] 1.21-1.81, P < 0.001) and a 1.51-fold increased risk of cardiovascular mortality (HR = 1.51, 95% CI 1.04-2.18, P = 0.030) compared to a lower SII. Kaplan-Meier analyses corroborated significantly reduced survival rates within the higher SII cohort for both all-cause and cardiovascular mortality (Pall-cause mortality < 0.0001 and Pcardiovascular mortality = 0.0004). RCS analyses confirmed a positive nonlinear relationship between SII and mortality rates. In conclusion, the SII offers a straightforward indicator of the equilibrium between detrimental innate inflammation and beneficial adaptive immunity. Our investigation, utilizing a comprehensive and nationally representative sample, reveals that elevated SII levels independently forecast a greater risk of mortality from all causes, as well as cardiovascular-specific mortality, in individuals suffering from RA. These insights underscore the clinical relevance of the SII as an affordable and readily accessible biomarker. Its incorporation into regular clinical practice could significantly enhance the precision of risk assessment and forecasting for patients with RA, facilitating more tailored and effective management strategies. Specifically, patients with high SII levels could be identified for more stringent cardiovascular risk management, including closer monitoring, lifestyle interventions, and aggressive pharmacological treatments to mitigate their increased risk of mortality.

Association between systemic immunity-inflammation index and psoriasis among outpatient US adults

Background

Psoriasis is a chronic dermatological condition characterized by a complex pathogenesis that impacts approximately 3% of adults in the United States and brings enormous social burdens. For many diseases, the systemic immune-inflammatory index (SII), defined as neutrophils × platelets/lymphocytes, has been recognized as a prognostic indicator. Therefore, we conducted a cross-sectional study to assess the association between SII and psoriasis among outpatient US adults.

Methods

In this cross-sectional study, we used data on the US adults 20 to 59 years of age from the National Health and Nutrition Examination Survey (NHANES) spanning 2003-2006 and 2009-2014. Sample-weighted logistic regression and stratified analysis of subgroups were used.

Results

Among the 16,831 adults, there were 8,801 women and 8,030 men, with a psoriasis prevalence rate of 3.0%. A fully adjusted model revealed a positive association between a SII higher than 479.15 × 109/L and a high risk of psoriasis. According to subgroup analysis and interaction testing (p for interaction > 0.05), age, sex, alcohol drinking status, marital status, and body mass index (BMI) were not significantly correlated with this positive association.

Conclusion

Our findings suggested that SII higher than 479.15 × 109/L was positively associated with a high risk of psoriasis among outpatient US adults. To the best of our knowledge, this is the first cross-sectional study using NHANES data focused on the risk of higher SII on psoriasis among outpatient US adults. The outcomes of this cross-sectional serve to supplement previous research, indicating a need for larger-scale prospective cohorts for further validation.

Systemic Immune-Inflammation Index as a Potential Biomarker for Assessing Disease Activity and Predicting Proteinuria Development in Systemic Lupus Erythematosus

Background Systemic lupus erythematosus (SLE) is a complex autoimmune disease with varied clinical manifestations affecting multiple organ systems. This study aimed to investigate the association between the systemic immune-inflammation index (SII) and disease activity, as well as proteinuria levels in patients with SLE. Methodology A total of 141 patients diagnosed with SLE and 99 control subjects were included in this retrospective study. SLE patients were divided into two groups based on the presence (52) or absence (89) of proteinuria. Demographic data, laboratory parameters, and disease activity scores were recorded. SII was calculated based on peripheral blood counts. Statistical analysis was performed to assess the relationship between SII levels and disease activity, as well as proteinuria. Results The statistical analysis among the three groups revealed that SII was significantly different in all three groups (p < 0.001). Moreover, within the SLE cohort, patients with proteinuria had significantly higher SII levels compared to those without proteinuria (p = 0.012). Correlation analysis revealed a positive association between SII and both proteinuria and Systemic Lupus Erythematosus Disease Activity Index 2000 (r = 0.215; p = 0.011 and r = 0.186; p = 0.028, respectively). Receiver operating characteristic analysis demonstrated that SII had potential clinical value in diagnosing SLE and predicting proteinuria development. Conclusions The findings of this study suggest that SII may serve as a useful biomarker for assessing disease activity and predicting proteinuria development in patients with SLE. Further research is warranted to validate these findings and explore the utility of SII in clinical practice for monitoring disease progression and treatment response in SLE.

Biomarkers of systemic inflammation are associated with disease severity and metabolic syndrome in patients with hidradenitis suppurativa

Background

Biomarkers associated with disease severity and comorbid metabolic syndrome (MetS) in patients with hidradenitis suppurativa (HS) are lacking.

Objective

To identify biomarkers associated with disease severity and comorbid MetS in patients with HS.

Methods

Data on hospital outpatients with HS were obtained through clinical examination and interviews. Indicators of systemic inflammation; C-reactive protein (CRP), erythrocyte sedimentation-rate (ESR), neutrophil/lymphocyte-ratio (NLR), platelet/lymphocyte-ratio (PLR), monocyte/lymphocyte-ratio (MLR), platelet/neutrophil-ratio (PNR), pan-immune-inflammation-value (PIV), and systemic-immune-inflammatory-index (SII), were calculated from blood samples.

Results

Seven hundred patients were included; of those 444 (63.4%) and 256 (36.6%) were female and male, respectively, with a median age of 38.3 years (IQR = 27.9-51.0). Increasing CRP, ESR, NLR, PIV, and SII (P < .001) were significantly associated with increasing Hurley-stage and international hidradenitis suppurativa severity score system 4 (IHS4)-score in adjusted analysis. A doubling in CRP (OR 1.59 (1.36-1.85), P < .001), ESR (OR 1.39 (1.17-1.66), P < .001) and PIV (OR 1.41 (1.12-1.77) P = .002) was associated with MetS in adjusted analysis. ESR was the best estimator for severe IHS4-score (AUC = 0.72 (0.66-0.77), P < .001) and Hurley III (AUC = 0.79 (0.73-0.85), P < .001) whereas CRP was best for MetS (AUC = 0.67 (0.62-0.72), P < .001).

Limitations

Patients in a hospital setting tend to have more severe disease.

Conclusion

Biomarkers like CRP, ESR, and PIV measuring systemic inflammation were associated with disease severity and comorbid MetS in patients with HS.

Associations of novel complete blood count-derived inflammatory markers with psoriasis: a systematic review and meta-analysis

Psoriasis is an immune-mediated disorder which primarily affects skin and has systemic inflammatory involvement. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and monocyte-to-lymphocyte ratio (MLR) are novel complete blood count (CBC)-derived markers which can reflect systemic inflammation. This study aimed to systematically investigate the associations of NLR, PLR, SII, and MLR with psoriasis. This study was performed in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses statement. A comprehensive search of Pubmed, Embase, Scopus, and Google Scholar was conducted for relevant studies. Observational studies evaluating the correlations of NLR, PLR, SII, or MLR with psoriasis were included. The primary outcomes were the associations of these inflammatory markers with the presence and severity of psoriasis. The random-effect model was applied for meta-analysis. 36 studies comprising 4794 psoriasis patients and 55,121 individuals in total were included in the meta-analysis. All inflammatory markers were significantly increased in psoriasis groups compared to healthy controls (NLR: MD = 0.59, 95% CI: 0.47-0.7; PLR: MD = 15.53, 95% CI: 8.48-22.58; SII: MD = 111.58, 95% CI: 61.49-161.68; MLR: MD = 0.034, 95% CI: 0.021-0.048; all p < 0.001). Between-group mean differences in NLR and PLR were positively correlated with the mean scores of Psoriasis Area Severity Index (NLR: p = 0.041; PLR: p = 0.021). NLR, PLR, SII, and MLR are associated with the presence of psoriasis. NLR and PLR serve as significant indicators of psoriasis severity. These novel CBC-derived markers constitute potential targets in the screening and monitoring of psoriasis.

Relationship between sacroiliitis and inflammatory markers in familial Mediterranean fever

OBJECTIVE

Familial Mediterranean fever is the most common monogenic autoinflammatory disease. This study aimed to evaluate the relationship between sacroiliitis observed in familial Mediterranean fever and hematological inflammatory markers.

METHODS

In this study, 168 familial Mediterranean fever patients were examined. A total of 61 familial Mediterranean fever patients who had sacroiliac magnetic resonance imaging due to waist and hip pain were included in the study. According to the magnetic resonance imaging findings, patients were divided into two groups: with and without sacroiliitis. The relationship between hematological inflammatory markers and sacroiliitis was investigated.

RESULTS

The frequency of sacroiliitis was found to be 13.6% in all familial Mediterranean fever patients and 37.8% in patients with low back pain who underwent sacroiliac magnetic resonance imaging. Neutrophil count, neutrophil/lymphocyte ratio, monocyte/lymphocyte ratio, and systemic immune-inflammatory index were significantly higher in the sacroiliitis group than in the other group, and this difference was found to be statistically significant (p<0.05). As a result of the receiver operating characteristic analysis, it was observed that neutrophil/lymphocyte ratio, monocyte/lymphocyte ratio, and systemic immune-inflammatory index were very sensitive parameters in determining sacroiliitis in patients with familial Mediterranean fever.

CONCLUSION

It was observed that the frequency of sacroiliitis was increased in familial Mediterranean fever patients. It is predicted that hematological inflammatory markers such as neutrophil/lymphocyte ratio, monocyte/lymphocyte ratio, and systemic immune-inflammatory index can be used in the diagnosis of sacroiliitis.

Positive association between insulin resistance and fatty liver disease in psoriasis: evidence from a cross-sectional study

Background

Fatty liver disease (FLD) is a common comorbidity of psoriasis and is often referred to as non-alcoholic fatty liver disease (NAFLD). However, the role of inflammation or insulin resistance (IR) in FLD is inconclusive. The study aims to explore whether FLD in psoriasis patients is more related to insulin resistance or systemic inflammation level.

Methods

Data for this study were collected from the Shanghai Psoriasis Effectiveness Evaluation Cohort, a prospective cohort that examines psoriasis characteristics in the Chinese population. IR was assessed using the triglyceride glucose (TyG) and TyG-body mass index (TyG-BMI) indicators. Systemic non-specific inflammation was assessed using the neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), and systemic immune inflammation index (SII).

Results

The analysis included a total of 647 patients. Subsequent logistic regression analysis revealed that NLR, dNLR, and SII were not significantly associated with FLD in psoriasis patients, while TyG and TyG-BMI showed significant associations with FLD. Subgroup analysis indicated that in the majority of subgroups, TyG and TyG-BMI were significantly associated with FLD, particularly TyG-BMI. Excluding individuals with methotrexate and acitretin resulted in consistent findings with the main analysis. Further analysis revealed a significantly higher diagnosis rate of metabolic-associated fatty liver disease (MAFLD) compared to NAFLD.

Conclusions

Metabolic factors play a crucial role in FLD in patients with psoriasis, and TyG and TyG-BMI are potential predictors of FLD. Therefore, MAFLD can be recommend as a term to describe FLD in psoriasis patients.

Trial registration

https://www.chictr.org.cn/showproj.html?proj=58256, identifier ChiCTR2000036186. A multi-center clinical study of systemic treatment strategies for psoriasis in Chinese population. Registered 31 August 2020.

A potential biomarker of disease activity in systemic lupus erythematosus, systemic immune-inflammation index

OBJECTIVE

Biomarkers using routine laboratory tests accurately presenting systemic lupus erythematosus (SLE) disease activity may have important practical values in clinical settings. The primary purpose of this study was to investigate neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII; neutrophil X platelet/lymphocyte) as potential biomarkers of disease activity in cases with SLE.

METHODS

In this case-control observational study, cases with SLE and demographically similar healthy controls were included. For clinical evaluation demographic features, disease duration and drugs were recorded. SLE clinical disease activity was assessed with SLEDAI scores. For laboratory assessments; erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) and C3-C4 levels and anti-dsDNA positivity were recorded. Based on the simultaneous complete blood count (CBC) of the participants NLR, PLR and SII were calculated. The correlation between clinical and laboratory data was analyzed.

RESULTS

68 cases with SLE (64 women, 8 men) and 69 controls (65 women, 4 men) were included in this investigation. The demographic features of the cases and controls were similar. ESR, CRP, NLR, PLR and SII scores were statistically higher in cases with SLE than controls (p<0.000). Statistically significant positive correlations between SLEDAI and NLR, PLR and SII scores were demonstrated (p=0.01, r=0.505; 0.414; 0.698, respectively). We determined a cut-off value of SII as 681,3 presenting 77% sensitivity and 76% specificity to discriminate no-mild disease activity and moderate-higher SLE disease activity status. The SII cut-off value was determined as 681,3 presenting 77% sensitivity and 76% specificity (p<0.000, and AUC=0.930).

CONCLUSION

CBC indices were shown to be higher in cases with SLE than healthy controls in our study. By presenting a strong correlation with disease activity and discriminating ability of disease status, SII might serve as a biomarker supporting clinical evaluation in SLE.

Neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, lymphocyte to monocyte ratio and Systemic Inflammatory Index in sexually transmitted diseases

Introduction

Hematologic biomarkers of inflammation may serve as valuable adjuncts in clinical practice, aiding in several aspects such as differential diagnosis, prognostic assessment for patient stratification and monitoring the efficacy of antimicrobial therapy. The aim of this study was to evaluate the efficacy of Neutrophil to Lymphocyte Ratio (NLR), Platelet to Lymphocyte Ratio (PLR), Lymphocyte to Monocyte Ratio (LMR), and Systemic Inflammatory Index (SII) in predicting bacterial sexually transmitted infections (STI).

Methods

This prospective study was conducted in the north-west region of Romania and included patients from several medical special units such as dermatology, obstetrics-gynecology, urology, and general practice. The study group comprised patients with a high suspicion of STI, while the control group consisted of healthy subjects. Quantitative data are presented as medians (interquartile ranges).

Results

The median values of SII, NLR, and SIRI were higher in the group of subjects with sexually transmitted diseases compared to the control group [604.06 (432.36 - 880.02) vs. 556.89 (388.63 - 874.19); 2.61 (1.57 - 3.3) vs. 2.29 (1.66 - 3.26); and 0.95 (0.53 - 1.52) vs. 0.89 (0.67 - 1.34)]. Regarding PLR, the median values were lower in the group of subjects with sexually transmitted diseases compared to the control group [138.1 (99.19 - 169.6) vs. 140.65 (117 - 190.32)]. As for LMR, the median values were equal between the two groups [4.64 (3.74 - 6.11) vs. 4.64 (3.75 - 5.45)]. Nevertheless, the differences did not reach the significance level.

Conclusion

Our study suggests that inflammatory biomarkers might aid in detecting bacterial STIs, but their significance was not statistically confirmed. Further research on alternative laboratory tests is needed for improved STI diagnosis and management.

Association between systemic immune-inflammation index and psoriasis: a population-based study

Background

The systemic immune-inflammation index (SII),as measured by lymphocyte, neutrophil and platelet counts in peripheral blood, is regarded as a favorable indicator of both inflammatory state and immune response. Psoriasis is an immune-mediated disease notable for its chronic inflammation of the entire system. Our research sought to explore the latent link between psoriasis and SII.

Methods

We performed a cross-sectional investigation utilizing data extracted from the National Health and Nutrition Examination Survey (NHANES, 2009-2014). Employing multivariate linear regression models and subgroup analysis, we sought to uncover the association between SII and psoriasis.

Results

This study enrolled a total of 17,913 participants as part of its research cohort. Our multivariate linear regression analysis revealed a notable and positive correlation between SII and psoriasis [1.013 (1.000, 1.026)]. As SII tertiles increased, the risk of psoriasis demonstrated an upward trend. The significant dependence on this positive association were maintained in women, BMI(≥ 30 kg/m2),non-stroke and non-cancer subjects in subgroup analysis and interaction tests. Furthermore, we identified a significant association between SII and psoriasis, characterized by two consecutive inverted U-shaped patterns. Notably, the analysis revealed the most prominent inflection point at a specific value of 797.067.

Conclusions

The results indicate a significant correlation between elevated SII levels and the presence of psoriasis. However, to corroborate and strengthen these results, additional large-scale prospective studies are required.

Associations of perchlorate, nitrate, and thiocyanate exposure with arthritis and inflammation indicators in young and middle-aged adults, NHANES 2005-2016

Background

Perchlorates, nitrates, and thiocyanates are prevalent environmental chemicals. Their potential association with arthritis remains unexplored. This study aimed to investigate the link between perchlorate, nitrate, and thiocyanate exposure and arthritis, as well as the potential role of inflammation in this context.

Methods

Utilizing the National Health and Nutrition Examination Survey (NHANES) data spanning from 2005 to 2016, the study enrolled 6597 participants aged 20-59 (young and middle-aged), of which 1045 had arthritis. Employing multivariate logistic regression modeling, multiple linear regression models, restricted cubic spline analysis, Bayesian kernel machine regression (BKMR) modeling, and mediation analysis, we assessed these relationships.

Results

There was a significant positive association between elevated urinary thiocyanate levels and arthritis risk [1.19 (1.11, 1.28)]. This association held true across subgroups of osteoarthritis (OA) [1.24 (1.10, 1.40)] and rheumatoid arthritis (RA) [1.33 (1.15, 1.55)]. Thiocyanate levels displayed a dose-dependent relationship with arthritis risk, showing a linear trend (nonlinear P > 0.05). Conversely, perchlorate and nitrate did not exhibit associations with arthritis risk. BKMR outcomes highlighted a positive correlation between a mixture of perchlorate, nitrate, and thiocyanate and arthritis risk, with thiocyanate being the predominant predictors. Moreover, BKMR and generalized linear model analyses unveiled no significant synergistic effect of urinary perchlorate, nitrate, and thiocyanate on arthritis risk. Furthermore, thiocyanate exposure has been linked to elevated levels of inflammatory indicators (white blood cell, neutrophils, lymphocytes, and systemic immune-inflammatory index (SII)).

Conclusion

Heightened thiocyanate exposure may be linked to elevated arthritis risk, either single or in combined effects. Additionally, thiocyanate exposure is associated with heightened inflammation levels.

Association between systemic immune inflammation index, systemic inflammation response index and adult psoriasis: evidence from NHANES

Background

The systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) are both novel biomarkers and predictors of inflammation. Psoriasis is a skin disease characterized by chronic inflammation. This study aimed to investigate the potential association between SII, SIRI, and adult psoriasis.

Methods

Data of adults aged 20 to 80 years from the National Health and Nutrition Examination Survey (NHANES) (2003-2006, 2009-2014) were utilized. The K-means method was used to group SII and SIRI into low, medium, and high-level clusters. Additionally, SII or SIRI levels were categorized into three groups: low (1st-3rd quintiles), medium (4th quintile), and high (5th quintile). The association between SII-SIRI pattern, SII or SIRI individually, and psoriasis was assessed using multivariate logistic regression models. The results were presented as odds ratios (ORs) and confidence intervals (CIs). Restricted cubic spline (RCS) regression, subgroup, and interaction analyses were also conducted to explore the potential non-linear and independent relationships between natural log-transformed SII (lnSII) levels or SIRI levels and psoriasis, respectively.

Results

Of the 18208 adults included in the study, 511 (2.81%) were diagnosed with psoriasis. Compared to the low-level group of the SII-SIRI pattern, participants in the medium-level group had a significantly higher risk for psoriasis (OR = 1.40, 95% CI: 1.09, 1.81, p-trend = 0.0031). In the analysis of SII or SIRI individually, both SII and SIRI were found to be positively associated with the risk of psoriasis (high vs. low group OR = 1.52, 95% CI: 1.18, 1.95, p-trend = 0.0014; OR = 1.48, 95% CI: 1.12, 1.95, p-trend = 0.007, respectively). Non-linear relationships were observed between lnSII/SIRI and psoriasis (both p-values for overall < 0.05, p-values for nonlinearity < 0.05). The association between SII levels and psoriasis was stronger in females, obese individuals, people with type 2 diabetes, and those without hypercholesterolemia.

Conclusion

We observed positive associations between SII-SIRI pattern, SII, SIRI, and psoriasis among U.S. adults. Further well-designed studies are needed to gain a better understanding of these findings.

Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in psoriasis: a systematic review and meta-analysis

Psoriasis is a chronic, inflammatory skin disorder characterized by well-demarcated erythematous lesions with surface scaling. The disease is underpinned by a dysregulated immune response with a shift in the balance of neutrophils, lymphocytes and platelets. We sought to evaluate the novel systemic inflammatory markers, neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), as psoriatic indicators. Pubmed, Web of Science and Scopus were systematically searched for relevant studies. Twenty-four studies consisting of a total of 2,275 psoriatic patients (1,301 males and 974 females) and 2,334 healthy controls (1,401 males and 933 females) were identified for inclusion in the quantitative analysis. The NLR and PLR were found to be significantly increased in psoriatic patients [standardized mean difference (SMD) = 0.68, 95% CI 0.56-0.80, p < 0.01, and SMD = 0.37, 95% CI 0.14-0.60, p < 0.01, respectively]. However, no association between the NLR and PLR with psoriasis severity was detected (p = 0.93, and p = 0.83, respectively). In conclusion, the NLR and PLR are simple and cost-effective markers of psoriatic presence, but their value as severity markers requires further study.

Neutrophil-lymphocyte ratio on first and third postoperative days: associated with severe pneumonia in aneurysmal subarachnoid hemorrhage patients undergoing surgeries

Severe postoperative pneumonia can increase the risk of poor outcomes in patients with aneurysmal subarachnoid hemorrhage (aSAH). We aimed to explore the associations of preoperative or postoperative inflammatory markers calculated from blood cell counts with severe pneumonia. This retrospective study was conducted at the First Affiliated Hospital of Yangtze University from January 2019 to June 2023. The associations of neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), platelet-lymphocyte ratio (PLR), systemic immune inflammation index (SII), and systemic inflammation response index (SIRI) with severe pneumonia were analyzed. There were 159 patients with pneumonia and 21 patients without pneumonia. There were 41 patients with severe pneumonia and 118 patients with non-severe pneumonia. The multivariate logistic regression analysis showed that NLR on the first postoperative (OR = 2.574, 95%CI: 1.035-6.403, p = 0.042) and third postoperative days (OR = 4.296, 95%CI: 1.699-10.860, p = 0.002) were associated with severe pneumonia in aSAH patients. Among patients ≥ 60 years, SIRI on the preoperative day (OR = 7.430, 95%CI: 1.443-38.251, p = 0.016) and NLR on the third postoperative day (OR = 4.748, 95%CI: 1.286-17.801, p = 0.020) were associated with severe pneumonia. Among patients < 60 years, NLR on the first postoperative day (OR = 24.149, 95%CI: 3.476-167.747, p = 0.001) was associated with severe pneumonia. The NLR on the first and third postoperative days were possibly associated with severe pneumonia in aneurysmal subarachnoid hemorrhage patients undergoing clipping or embolization surgeries. Dynamic detection of NLR during early perioperative period may help clinicians to predict the development of severe pneumonia.

Effect of Treatment With Biologic Agents on the Novel Inflammatory Biomarkers Systemic Immune Inflammation Index and Systemic Inflammation Response Index for Psoriasis

INTRODUCTION

Psoriasis is a chronic cutaneous disorder with underlying systemic inflammation. The systemic immune inflammation (SII) and systemic inflammation response indexes (SIRI) are novel biomarkers that indicate systemic inflammation.

OBJECTIVES

We aimed to evaluate the effect of biological agent treatment on SII and SIRI in psoriasis patients.

METHODS

Between April 2019 and October 2022, SII and SIRI were retrospectively evaluated in patients with psoriasis before and three months after the initiation of biological agents.

RESULTS

This study included 220 patients, 101 females and 119 males. SIRI was significantly higher in male patients compared to females (P < 0.001). Although not statistically significant, SII and SIRI were higher in obese patients, patients with severe psoriasis, longer disease duration, nail involvement and patients who received previous biological agent treatment. SII was also higher in patients with hypertension, diabetes, hepatic steatosis, depression and coronary artery disease (P = 0.801, P = 0.752, P = 0.706, P = 0.079, P = 0.861, respectively), whereas SIRI was higher in patients with diabetes and depression (P = 0.263, P = 0.777, respectively). Both SII and SIRI statistically significantly decreased after treatment with adalimumab, infliximab, ixekizumab, secukinumab, ustekinumab and risankizumab.

CONCLUSIONS

SII and SIRI may indicate the severity of psoriasis as well as SII may be associated with psoriatic arthritis, hypertension, hepatic steatosis and coronary artery disease in patients with psoriasis. There is no consensus on the biomarkers that can be used to create an optimized treatment strategy in psoriasis. Therefore, SII and SIRI may be helpful in making the choice of treatment and in the follow-up of patients with psoriasis treated with biological agents.

Could Blood Cell-Based Inflammatory Markers Be Used to Monitor Response to Biologic Therapy in Psoriasis?

Objectives

Despite extensive research, there is currently no specific biomarker that reliably and universally indicates treatment response in psoriasis. Multiple studies have evaluated systemic inflammation markers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), and systemic immune response index (SIRI) in psoriasis patients. However, there are limited studies investigating changes in these markers with biologic therapy. The goal of this study was to investigate the impact of biologic therapy on parameters including NLR, PLR, MLR, SII, and SIRI in patients with psoriasis.

Methods

In this cohort study, we retrospectively evaluated 108 psoriasis patients who were on biological treatment, including interleukin (IL)17, IL23, and IL12/23 inhibitors, for a minimum of 12 weeks. We analyzed Psoriasis Area Severity Index (PASI) scores, complete blood count parameters, and C-reactive protein (CRP) levels both before and after 12 weeks of treatment.

Results

The NLR, PLR, MLR, SII, SIRI, and CRP values all demonstrated a significant decrease, regardless of the specific type of biologic agent (p=0.001, 0.007, 0.011, <0.001, <0.001 and <0.001, respectively). Furthermore, we observed a statistically significant but low correlation between the reduction in PASI scores and PLR, SII, and SIRI values (p=0.036, r=0.202; p=0.042, r=0.196; p=0.023, r=0.219, respectively).

Conclusion

The NLR, MLR, especially PLR, SII, and SIRI might be used as simple, convenient, and inexpensive laboratory markers to monitor the degree of inflammation and response to treatment after biologic therapy in daily practice.

Predictive Performances of Blood-Count-Derived Inflammatory Markers for Liver Fibrosis Severity in Psoriasis Vulgaris

Psoriasis is an immune-mediated, chronic disorder that significantly alters patients' quality of life and predisposes them to a higher risk of comorbidities, including liver fibrosis. Various non-invasive tests (NITs) have been validated to assess liver fibrosis severity, while blood-count-derived inflammatory markers have been proven to be reliable in reflecting inflammatory status in psoriatic disease. The fibrosis-4 (FIB-4) index became part of the newest guideline for monitoring psoriasis patients undergoing systemic treatment. Patients with psoriasis vulgaris and fulfilling inclusion criteria were enrolled in this study, aiming to assess for the first time in the literature whether such inflammatory markers are useful in predicting liver fibrosis. Based on internationally validated FIB-4 index values, patients were divided into two study groups: a low risk of significant fibrosis (LR-SF) and a high risk of significant fibrosis (HR-SF). Patients from HR-SF were significantly older and had higher values of the monocyte-to-lymphocyte ratio (MLR) (p < 0.001), which further significantly correlated with fibrosis severity (p < 0.001). Platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), platelet-to-white blood cell ratio (PWR), and aggregate index of systemic inflammations (AISI) significantly correlated negatively with liver fibrosis (p < 0.001). PWR proved to be the most reliable inflammatory predictor of fibrosis severity (AUC = 0.657). MLR, PWR, and AISI were independent inflammatory markers in multivariate analysis (p < 0.001), while the AST to platelet ratio index (APRI) and AST to ALT ratio (AAR) can be used as additional NITs for significant liver fibrosis (p < 0.001). In limited-resources settings, blood-count-derived inflammatory markers such as MLR, PWR, and AISI, respectively, and hepatic indexes APRI and AAR prove to be of particular help in predicting significant liver fibrosis.

The Relationship of Hematological Parameters and C-reactive Protein (CRP) With Disease Presence, Severity, and Response to Systemic Therapy in Patients With Psoriasis

OBJECTIVES

Systemic inflammation has an important role in psoriasis, which is a chronic disease with an increasing prevalence and is associated with comorbidity. Our aim is to investigate the relationship of hematological parameters and C-reactive protein (CRP) with the presence and severity of the disease in patients with psoriasis. It is also to investigate whether it can be used as a biomarker in monitoring the response to systemic treatment.

MATERIALS AND METHODS

This retrospective study was conducted with the participation of 139 psoriasis patients receiving biological therapy (BT) and conventional therapy (CT) and 140 healthy controls. Demographic, clinical, and laboratory data of patients and controls were examined and all parameters were compared with the psoriasis area severity index (PASI) score. In addition, the changes in these parameters before the treatment and in the third month of the treatment were examined in the patient groups who received BT and CT.

RESULTS

White blood cell (WBC), neutrophil, monocytes, platelet (PLT), plateletcrit, red blood cell, neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) monocyte-lymphocyte ratio (MLR), red cell distribution width (RDW), CRP and erythrocytesedimentation (ESR) levels were higher compared to the healthy control group in psoriasis patients (p<0.05). Baseline PASI values were positively correlated with WBC, neutrophils, monocytes, NLR, MLR, and CRP. WBC, neutrophil, NLR, CRP, and ESR levels decreased in all patients in the third month of treatment (p<0.05). WBC, PLT, neutrophil, and NLR in patients receiving BT; while WBC, neutrophil, NLR, CRP, and ESR levels decreased in patients receiving CT, RDW levels increased (p<0.05). Adalimumab; NLR and basophil, methotrexate; WBC, NLR, neutrophil, and ESR levels caused a significant decrease (p<0.05).

CONCLUSION

 The fact that increased WBC, neutrophils, monocytes, NLR, MLR, and CRP levels are associated with the severity of psoriasis indicates that these parameters reflect systemic inflammation in psoriasis. In addition, the decrease in these parameters after BT and CT suggests that they can be considered simple and reliable markers that can be used as a complement to the PASI score in assessing disease severity and response to treatment.

Changes in Inflammatory Biomarkers in Patients with Schizophrenia: A 3-Year Retrospective Study

Objective

Accumulating evidence suggested that immune system activation might be involved in the pathophysiology of schizophrenia. The neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), platelet/lymphocyte ratio (PLR) and systemic immune-inflammation index (SII) can measure inflammation. This study aimed to investigate the inflammatory state in patients with schizophrenia by using these indicators.

Methods

In this study, the complete blood count data for 187 continuing hospitalized patients with schizophrenia and 187 age- and sex-matched healthy participants was collected annually from 2017 to 2019. Platelet (PLT), lymphocyte (LYM), monocyte (MON) and neutrophil (NEU) counts were aggregated and NLR, MLR, PLR, and SII were calculated. Using a generalized linear mixed model, we assessed the impact of age, sex, diagnosis, and sampling year on the above indicators and evaluated the interaction between the factors.

Results

According to the estimation results of the generalized linear mixed model, the NLR increased by 0.319 (p = 0.004), the MLR increased by 0.037 (p < 0.001), and the SII increased by 57.858 (p = 0.018) in patients with schizophrenia. Data after two years of continuous antipsychotic treatment showed that the NLR and MLR were higher in patients with schizophrenia than those in healthy controls, while the PLT and LYM counts were decreased in patients with schizophrenia. The schizophrenia diagnosis was correlated to the MON and LYM count, NLR, MLR, and SII (p < 0.05).

Conclusion

The differences in these markers were stable and cannot be eliminated by a full course of treatment. This study provides impetus for the inflammatory hypothesis of schizophrenia.

Evaluation of inflammatory status in blood in patients with rosacea

Rosacea is a chronic inflammatory skin disease that is characterized by recurrent episodes of erythema, telangiectasia and papulopustular lesions. Although the pathogenesis is not well established, growing knowledge suggests that multiple etiological factors play a role resulting in inflammation. The aim of the present study is to investigate inflammatory status of patients with rosacea by evaluating CBC parameters and systemic immune inflammation (SII) index and compare these parameters with control group. Thus, it is aimed to understand the role of systemic inflammation in the pathogenesis of the disease. This retrospective, case-control study included 100 patients with rosacea and 58 sex- and age-matched controls. Laboratory examinations including CBC, ESR, CRP, HDL, LDL, and triglyceride levels were recorded and neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), and platelet-lymphocyte ratio (PLR), monocyte-to-high-density lipoprotein ratio (MHR) and SII index were calculated. Monocyte and platelet count, SII index, ESR and CRP were significantly higher in patients with rosacea than in the control group. No statistically significant difference was found in other parameters. There was no significant correlation between disease severity and ESR, CRP, and SII index. The findings of this study suggest that apart from the inflammatory pathways at the level of skin, there is an inflammatory state in the blood of patients. Rosacea is a skin disease, but it may have systemic implications and/or associations that need to be clarified completely.

The association between systemic immune-inflammation index and rheumatoid arthritis: evidence from NHANES 1999-2018

PURPOSE

We aimed to explore the relationship between the systemic immune-inflammation index (SII) and rheumatoid arthritis (RA) using NHANES from 1999 to 2018.

METHODS

We collected data from the NHANES database from 1999 to 2018. The SII is calculated from the counts of lymphocytes (LC), neutrophils (NC), and platelets (PC). The RA patients were derived from questionnaire data. We used weighted multivariate regression analysis and subgroup analysis to explore the relationship between SII and RA. Furthermore, the restricted cubic splines were used to explore the non-linear relationships.

RESULT

Our study included a total of 37,604 patients, of which 2642 (7.03%) had rheumatoid arthritis. After adjusting for all covariates, the multivariate logistic regression analysis showed that high SII (In-transform) levels were associated with an increased likelihood of rheumatoid arthritis (OR=1.167, 95% CI=1.025-1.328, P=0.020). The interaction test revealed no significant effect on this connection. In the restricted cubic spline regression model, the relationship between ln-SII and RA was non-linear. The cutoff value of SII for RA was 578.25. The risk of rheumatoid arthritis increases rapidly when SII exceeds the cutoff value.

CONCLUSION

In general, there is a positive correlation between SII and rheumatoid arthritis. Our study shows that SII is a novel, valuable, and convenient inflammatory marker that can be used to predict the risk of rheumatoid arthritis in US adults.

The association between platelet indices and presence and severity of psoriasis: a systematic review and meta-analysis

The role of platelet function indices-platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT), immature platelet fraction (IPF), and platelet mass index (PMI)-in psoriasis is uncertain. This systematic review and meta-analysis aimed to evaluate the association of these platelet biomarkers with both presence and severity of psoriasis. We searched MEDLINE (Ovid), Embase (Ovid), and the Cochrane Library from inception to November 2021. To evaluate the association of platelet function indices and psoriasis, we recorded mean differences (MD) and 95% confidence intervals (CI) as well as correlation coefficients (r) for each included study, and generated summary estimates using random-effects inverse-variance modelling. We screened 1,079 unique studies, and included 33 studies with 6724 patients in the quantitative analyses. Compared with controls, patients with psoriasis had higher PLT (MD 12.86 × 10⁹/L, 95% CI 6.34-19.39, p < 0.001), MPV (MD 0.61fL, 95% CI 0.31-0.92, p < 0.001), and PCT (MD 0.05%, 95% CI 0.01-0.09, p = 0.010), but similar PDW (MD 0.16%, 95% CI -0.46-0.79, p = 0.610). Psoriasis Area and Severity Index (PASI) was weakly correlated with PLT (r 0.17, 95% CI 0.06-0.28, p = 0.003), MPV (r 0.36, 95% CI 0.22-0.49, p < 0.001), and PDW (r 0.17, 95% CI 0.08-0.26, p < 0.001). Study numbers were insufficient to judge the relationship of IPF and PMI with psoriasis presence, or PCT, IPF, and PMI with psoriasis severity. In summary, PLT, MPV, and PCT are significantly elevated in patients with psoriasis, and PLT, MPV, and PDW are weakly correlated with PASI. Future studies are needed to evaluate the independent diagnostic and prognostic potentials of these biomarkers in patients with psoriasis.

Psoriatic patients with a history of cancer: a real-life experience with Apremilast treatment for 104 weeks

Psoriasis is a multifactorial, chronic, auto- inflammatory disease, with a worldwide prevalence of around 2%, subtended by robust genetic predisposition and autoimmune pathogenic traits. The disease, mainly involving the skin and joints, is featured by erythemato-squamous lesions, with a chronic relapsing course and relevant systemic comorbidities. Apremilast is a novel oral agent that has recently been made available to dermatologists for the treatment of moderate-to-severe plaque psoriasis and psoriatic arthritis. Although it is considered as relatively safe molecule with few contraindications, experience with Apremilast in the real-world setting for cancer patients with moderate-to-severe plaque psoriasis is lacking. Hence, we report the real-life experience in patients with psoriasis and a history of cancer who underwent treatment with Apremilast for 104 weeks.

High pretreatment systemic immune-inflammation index values are associated with diminished short-term success after temporomandibular joint arthrocentesis procedure

Background

The systemic immune-inflammation index (SII) has been demonstrated to be a valid biomarker of a patient's immunological and inflammatory state, with the ability to accurately predict outcomes in a variety of disease conditions. In the absence of comparable studies, we intended to examine the relevance of pretreatment SII in predicting the success rates of temporomandibular joint arthrocentesis (TMJA) at 1-week, 1-month, and 6-month periods, defined as maximum mouth opening (MMO) > 35 mm and VAS ≤ 3.

Methods

A sum of 136 patients with disc displacement without reduction (DDwo-red) who underwent TMJA was included. For each patient, pre-TMJA SII was calculated as; SII = Platelets × neutrophils/lymphocytes. Additionally, baseline MMO and VAS measurements were recorded for each patient. The success criteria of TMJA included MMO > 35 mm and VAS ≤ 3. The optimal pre-TMJA SII cutoff that predicts TMJA success was determined using receiver operating characteristic (ROC) curve analysis. The primary endpoint was the link between the pre-treatment SII and TMJA success (simultaneous achievement of MMO > 35 mm and VAS ≤ 3).

Results

The median pre-TMJA jaw locking duration, maximum mouth opening (MMO), and visual analog score (VAS) were 7 days, 24 mm, and 8, respectively. The overall TMJA success rates were determined as 80.1%, 91.9%, and 69.1% at 1-week, 1-month, and 6-months, respectively. The results of ROC curve analysis exhibited the optimal SII cutoff at 526 (AUC: 67.4%; sensitivity: 66.7%; specificity: 64.2%) that grouped the patients into two subgroups: Group 1: SII ≤ 526 (N = 81) and SII > 526 (N = 55), respectively. Spearman correlation analysis revealed a strong inverse relationship between the pretreatment SII values and the success of TMJA 1-week (r_s: − 0.83; P = 0.008) and 1-month, (r_s: − 0.89; P = 0.03). Comparative analyses displayed that TMJA success rates at 1-week (87.7% vs. 69.1%; P = 0.008) and 1-month (96.2% vs. 80%; P = 0.03) were significantly higher in the SII ≤ 526 than SII > 526 group, respectively, while the 6-month results favored the SII ≤ 526 group with a trend approaching significance (P = 0.084).

Conclusion

The current study's findings suggested the SII as a unique independent prognostic biomarker that accurately predicts treatment outcomes for up to 6 months.

Trial registration The results of this research were retrospectively registered.

New Inflammatory Marker Associated with Disease Activity in Rheumatoid Arthritis: The Systemic Immune-Inflammation Index

OBJECTIVE

This study aimed to discover a new index for disease activity by reviewing the relationship between the Systemic Immune-Inflammation Index and Systemic Inflammation Response Index in rheumatoid arthritis.

METHOD

A total of 109 patients with rheumatoid arthritis and 31 healthy controls were involved in the study. Based on disease activity score (DAS-28) calculated by the erythrocyte sedimentation rate, rheumatoid arthritis patients were divided into two groups: Group 1 comprised patients in remission (DAS-28<2.6); Group 2 was the active patient group (DAS-28>2.6). The Systemic Immune Inflammation Index and the Systemic Inflammation Response Index compared between the groups.

RESULTS

The Systemic Immune-Inflammation Index is 666.415±33.00 in the patient group and 596.71±57.64 in the control group, and the difference between the groups is statistically significant (p=0.002). The Systemic Immune-Inflammation Index was 574.69±34.72 in group 1 and 702.25±39.56 in group 2. There was a significant statistical difference between the active and remission patients (p=0.030). The Systemic Inflammation Response Index was not statistically significant between the groups. Different cut-off points were compared to detect the optimal cut-off value for SII. Based on the ROC curve analysis, SII cut-off point of 574.20 showed 56.3% sensitivity and 45.5% specificity and with the Area Under Curve (AUC) 95% was the optimal cut-off point for active RA.

CONCLUSION

This is the first study to review the Systemic Immune-Inflammation Index in rheumatoid arthritis. The obtained conclusion verified that the Systemic Immune-Inflammation Index could be used as a new tool, showing disease activity.