Systemic Immune-Inflammation Index is Associated with Cerebral Small Vessel Disease Burden and Cognitive Impairment

OBJECTIVE

This study sought to explore the associations of the systemic immune-inflammation index (SII) with total cerebral small vessel disease (CSVD) burden and cognitive impairment.

METHODS

We enrolled 201 patients in the retrospective study with complete clinical and laboratory data. The SII was calculated as platelet count × neutrophil count/lymphocyte count. Cognitive function was evaluated by the Mini-Mental State Examination (MMSE). Total CSVD burden was assessed based on magnetic resonance imaging. We performed logistic regression models, Spearman correlation, and mediation analysis to evaluate the associations of SII with CSVD burden and cognitive impairment.

RESULTS

After adjustment for confounding factors in the multivariate binary logistic regression model, elevated SII (odds ratio [OR], 3.263; 95% confidence interval [CI], 1.577-6.752; P = 0.001) or severe CSVD burden (OR, 2.794; 95% CI, 1.342-5.817; P = 0.006) was significantly associated with the risk of cognitive impairment. Correlation analyses revealed that SII levels were negatively associated with MMSE scores (rs = -0.391, P < 0.001), and positively associated with the total CSVD burden score (rs = 0.361, P < 0.001). Moreover, SII was significantly related to the severity of the CSVD burden (OR, 2.674; 95% CI, 1.359-5.263; P = 0.004). The multivariable-adjusted odds ratios (95% CI) in highest tertile versus lowest tertile of SII were 8.947 (3.315-24.145) for cognitive impairment and 4.945 (2.063-11.854) for severe CSVD burden, respectively. The effect of higher SII on cognitive impairment development was partly mediated by severe CSVD burden.

CONCLUSION

Elevated SII is associated with severe CSVD burden and cognitive impairment. The mediating role of severe CSVD burden suggests that higher SII may contribute to cognitive impairment through aggravating CSVD burden.

Could the Systemic Immune Inflammation Index Predict Diagnosis, Recovery Time, Hypothyroidism, and Recurrence Rates in Subacute Thyroiditis?

Purpose

Subacute thyroiditis (SAT) is a non-infectious inflammatory disease of the thyroid. The Systemic Immune-Inflammation Index (SII), also known as an easy economical marker, correlates with the severity of inflammatory responses. We aimed to evaluate the clinical significance of the SII and to compare it to other inflammatory markers in terms of diagnosis, recovery time, and recurrence of SAT.

Patients and Methods

The current non-interventional observational prospective study was performed at Outpatient Department of Endocrinology, Erzurum Training and Research Hospital. Sixty-nine patients with SAT and fifty-nine healthy individuals in total were enrolled in our study. The follow-up period was 6-12 months for all patients regarding treatment response, recurrence, and hypothyroidism.

Results

The SII level was found to be significantly higher at the time of diagnosis in the SAT group compared to the control group (p=0.000). There was a significant positive correlation between the SII and SAT recovery time (p=0.000), particularly in patients receiving methyl prednisolone treatment (p=0.002). SII was not found to be significantly associated with hypothyroidism and recurrence in patients with SAT (p=0.261, p=0.568). However, compared to the ones without recurrence, thyroid stimulating hormone (TSH) and erythrocyte sedimentation rate levels at the time of diagnosis were found to be higher in those patients with recurrence (p=0.035, p=0.046).

Conclusion

SII is a low-cost, widely available, universal indicator of inflammatory processes in SAT. It could provide many benefits in the follow-up process and the selection of aggressive anti-inflammatory treatment by estimating recovery time. SII, as a practical biomarker, may be a new diagnostic and prognostic tool for SAT.

Diagnostic value of systemic immune inflammation index in acute appendicitis

OBJECTIVE

Clinical diagnosis of acute appendicitis is often difficult and involves a synthesis of clinical, laboratory, and radiological findings. The aim of this study was to investigate whether the systemic immune inflammation index can be used as an effective parameter in the diagnosis of acute appendicitis and its reliability in the differentiation of complicated vs. non-complicated appendicitis.

METHODS

The study was conducted retrospectively with patients admitted to the emergency department with abdominal pain and diagnosed with acute appendicitis. In total, 150 patients and 150 control cases were included in the study. Demographic data, medical history, white blood cell count, platelet count, neutrophil count, systemic immune inflammation index values, Alvarado score, adult appendicitis score, and pathology result of appendectomy material were retrieved from the hospital automation system and recorded in the data form.

RESULTS

Neutrophil-lymphocyte ratio and systemic immune inflammation index were significantly higher, and platelet-neutrophil ratio and lymphocyte-neutrophil ratio were significantly lower in the patient group compared to the control group (p<0.001). Receiver operating characteristic analysis revealed that the sensitivity and specificity of systemic immune inflammation index with a cutoff value of 840.13 was 82 and 66.7%, respectively, for the diagnosis of acute appendicitis. Correlation analysis revealed that systemic immune inflammation index, Alvarado score, and adult appendicitis score were positively correlated, and this correlation was statistically significant.

CONCLUSION

Systemic immune inflammation index may be used to promote the diagnosis of acute appendicitis and may reduce the need for radiation exposure and diagnostic imaging tests such as contrast-enhanced abdominal computed tomography. It can also be used to differentiate between complicated and non-complicated acute appendicitis cases.

Systemic Immune-Inflammation Index and Long-Term Mortality in Patients with Stroke-Associated Pneumonia

Background

Systemic immune inflammation has been investigated as a prognostic marker of different diseases. This study is designed to assess the association of systemic immune-inflammation index (SII) with long-term mortality of stroke-associated pneumonia (SAP) patients.

Methods

Patients aged ≥18 years with SAP were selected from the Nanjing Stroke Registry Program in China. We retrospectively evaluated systemic immune-inflammation response with SII and pneumonia severity with the pneumonia severity index and the confusion, uremia, elevated respiratory rate, hypotension, and aged 65 years or older score. To explore the correlation between SII and mortality in SAP patients, multivariable Cox regressions and competing risk regressions were conducted. Mediation analysis was also performed to assess the role of pneumonia severity.

Results

Among 611 patients in the SAP population, death occurred in 164 patients (26.8%) during the median follow-up of 3.0 (1.2-4.6) years. In multivariate analysis, higher SII scores could predict increased mortality in patients with SAP (adjusted hazard ratio 2.061; 95% confidence interval, 1.256-3.383; P = 0.004), and the association was mediated by pneumonia severity. Moreover, adding SII to traditional models improved their predictive ability for mortality.

Conclusion

Our study displayed that SII was characterized in SAP patients with different prognoses. Elevated SII scores increased the risk of mortality. Further research is required for the clinical practice of the index among SAP patients.

Systemic immune-inflammation index: A new indicator of predicting 1-, 2-and 3-year disease-free survival of patients with colon cancer

BACKGROUND

The systemic immune-inflammation index (SII) is a useful prognostic indicator for some types of cancer, but it remains to be elucidated if it is similarly useful for colon cancer.

OBJECTIVES

This study aims to investigate the prognostic value of preoperative SII in patients with colon cancer undergoing radical surgery.

MATERIAL AND METHODS

The clinical materials of 188 patients with colon cancer who underwent radical surgery from September 1, 2013, to August 31, 2018, in Zhongda Hospital at Southeast University (Nanjing, China) were collected retrospectively. The SII was calculated as platelet count × neutrophil count / lymphocyte count. All patients enrolled in the study were then assigned into 2 different groups according to the median value of SII for comparison of clinical features between the 2 groups. The survival curve was drawn using the Kaplan-Meier method. Univariate and multivariate analysis were performed using the Cox regression model, analyzing the independent risk factors. The independent factors were analyzed with the R software to construct a nomogram of 1-, 2- and 3-year disease-free survival (DFS) after operation. Lastly, a web-based probability calculator was constructed to dynamically predict the possibility of DFS of patients.

RESULTS

The SII could significantly predict DFS of patients with colon cancer with the median value of 514.13xs. For DFS, multivariate Cox analysis indicated that age, tumor location, pathological N stage, and preoperative SII level were independent risk factors for patients with colon cancer after radical resection (p < 0.05). A nomogram and a web-based probability calculator were constructed based on these factors.

CONCLUSIONS

The preoperative SII level can predict DFS in patients who received radical surgery with colon cancer. The nomogram constructed based on independent risk factors is helpful in predicting DFS of colon cancer patients in clinical practice.

Clinical value of the systemic immune-inflammation index in moyamoya disease

Background

Moyamoya disease (MMD) is a rare cerebrovascular disorder with unknown etiology. The underlying pathophysiological mechanism of moyamoya disease remains to be elucidated, but recent studies have increasingly highlighted that abnormal immune response may be a potential trigger for MMD. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) are inflammatory markers that can reflect the immune-inflammation state of the disease.

Objective

The purpose of this study was to investigate SII, NLR, and PLR in patients with moyamoya disease.

Methods

A total of 154 patients with moyamoya disease (MMD group) and 321 age- and sex-matched healthy subjects (control group) were included in this retrospective case-control study. Complete blood count parameters were assayed to calculate the SII, NLR, and PLR values.

Results

The SII, NLR, and PLR values in the moyamoya disease group were significantly higher than those in the control group [754 ± 499 vs. 411 ± 205 (P < 0.001), 2.83 ± 1.98 vs. 1.81 ± 0.72 (P < 0.001), and 152 ± 64 vs. 120 ± 42 (P < 0.001), respectively]. The SII in the medium-moyamoya vessels of moyamoya disease was higher than that in the high-moyamoya vessels and low-moyamoya vessels (P = 0.005). Using the receiver operating characteristic (ROC) curve analysis to predict MMD, the highest area under the curve (AUC) was determined for SII (0.76 for SII, 0.69 for NLR, and 0.66 for PLR).

Conclusion

Based on the results of this study, patients with moyamoya disease admitted for inpatient care due to acute or chronic stroke have significantly higher SII, NLR, and PLR when compared to blood samples drawn from completely healthy controls in a non-emergent outpatient setting. While the findings may suggest that inflammation plays a role in moyamoya disease, further studies are warranted to corroborate such an association. In the middle stage of moyamoya disease, there may be a more intense imbalance of immune inflammation. Further studies are needed to determine whether the SII index contributes to the diagnosis or serves as a potential marker of an inflammatory response in patients with moyamoya disease.

Nomogram Based on Preoperative Fibrinogen and Systemic Immune-Inflammation Index Predicting Recurrence and Prognosis of Patients with Borrmann Type III Advanced Gastric Cancer

Background and Objectives

The prognosis is known to differ significantly among advanced gastric cancer (AGC) with Borrmann type III. This study aimed to evaluate the prognosis of these patients more individually.

Methods

We selected 542 AGC patients with Borrmann type III. We used the receiver operating characteristic curve to analyze the cutoff values of inflammation indexes, and used Kaplan-Meier and Log rank tests to analyze recurrence-free survival (RFS) and overall survival (OS). The independent risk factors for recurrence and prognosis were analyzed by Cox proportional hazards regression model. The nomogram models were constructed by R studio.

Results

Patients with high preoperative fibrinogen (F) and systemic immune-inflammation index (SII) levels had worse RFS and OS and higher risk of postoperative locoregional recurrence, hematogenous metastasis and lymph node metastasis. F and SII can combine with different clinicopathological features (all P<0.05) to construct nomograms to predict 5-year recurrence and prognosis, which both were superior to pTNM stage alone.

Conclusion

The nomogram models based on F and SII can evaluate AGC with Borrmann type III postoperative recurrence and prognosis.

Association of systemic inflammation index with survival in patients with advanced perihilar cholangiocarcinoma treated with interventional therapy

Objective

Immunity and inflammation are key mediators of carcinoma development, invasion and metastasis. However, it remains unknown whether the systemic immune-inflammation index (SII) can be used as a prognostic indicator for cholangiocarcinoma. In this study, we investigated the association and predictive value of the SII with the prognosis of advanced perihilar cholangiocarcinoma (pCCA) after interventional therapy.

Methods

A retrospective cohort of patients with advanced pCCA treated with interventional therapy at the First Hospital of Shanxi Medical University enrolled in this study from January 2019 through January 2021 was examined. Cox regression models were used to analyze the relationship between the SII and overall survival (OS) of patients with advanced pCCA. Receiver operating characteristic (ROC) analysis was used to evaluate the predictive power of SII.

Results

Preoperative SII was positively associated with poor OS of pCCA after interventional therapy, with corresponding hazard ratios (HR) of 1.57 (95% CI: 1.17 - 2.10) for an inter-quartile range increase. The predictive power of SII was higher than that of other inflammation indexes based on ROC analysis (AUC = 0.835 [95% CI (0.731 - 0.940)]). The optimal cut-off values, sensitivity, and specificity with SII were 700, 0.774 and 0.846, respectively. An SII ≥ 700 was significantly associated with lymph node metastasis and high carbohydrate antigen199 (CA199) level. In multivariate analyses, total bilirubin, carbohydrate antigen 199, vascular invasion, and SII independently predicted overall survival (P < 0.05).

Conclusion

This is the first study demonstrating that an increase in the SII is associated with poor advanced pCCA prognosis, and could serve as a reliable prognostic indicator of pCCA after interventional therapy.

Infection evaluation in the early period after liver transplantation: A single-center exploration

BACKGROUND

Infection is a significant risk factor that impacts for perioperative morbidity and mortality in liver transplantation (LTx) patients and is difficult to evaluate quantitatively in the early posttransplantation period. Thus, a biomarker to assess the risk of infection and the prognosis of the recipient is highly desirable.

METHODS

A total of 128 consecutive patients with end-stage liver diseases undergoing LTx between January 1, 2020 and December 31, 2021, at the First Affiliated Hospital of Zhejiang University School of Medicine, were screened retrospectively. Graft preservation fluid and blood samples were collected for culture, and other perioperative laboratory examination results were recorded, for assessment of infection status.

RESULTS

After a follow-up period of 30 days, the survival rate among the 128 LTx recipients was 94.5%. Multivariable regression analysis showed that the logarithmically transformed neutrophil-to-lymphocyte ratio (NLR) (HR = 3.548, 95% CI: ; p = .041) on post-LTx day 1 and graft preservation fluid culture positivity (HR = 12.032, 95% CI: ; p = .006) were independent predictive factors for early prognosis after LTx.

CONCLUSIONS

Positive graft preservation fluid culture and the logarithmically transformed NLR on post-LTx day 1 were independent predictive factors for early prognosis after LTx. The logarithmically transformed NLR could provide an earlier indication than culture results in clinical practice.

Corrigendum: Association of systemic immune-inflammation index with short-term mortality of congestive heart failure: A retrospective cohort study

[This corrects the article DOI: 10.3389/fcvm.2021.753133.].

Prognostic Value of Systemic Immune-Inflammation Index (SII) in Patients with Glioblastoma: A Comprehensive Study Based on Meta-Analysis and Retrospective Single-Center Analysis

Inflammation is related to cancer. The systemic immune-inflammation index (SII) has been linked to the prognosis of many types of cancer. The present study aimed to determine the prognostic value of the SII in glioblastoma (GBM) patients based on meta-analysis and single-center retrospective analysis. Relevant publications published before 1 October 2022 were identified by searching PubMed, EMBASE, Cochrane Library databases, and Web of Science. Moreover, 208 GBM patients from Zhongnan Hospital were incorporated. Kaplan−Meier and Cox regression analyses determined the prognostic significance of inflammatory markers. By combining these indicators, we developed scoring systems. Nomograms were also built by incorporating independent variables. The accuracies of nomograms were evaluated by Harrell’s concordance index (c-index) and the calibration curve. According to meta-analysis, an elevated SII predicted the worst overall survival (OS) (Hazard ratio [HR] = 1.87, p < 0.001). Furthermore, a higher SII (>510.8) (HR = 1.782, p = 0.007) also predicted a poorer outcome in a retrospective cohort. The scoring systems of SII-NLR (neutrophil-to-lymphocyte ratio) showed the best predictive power for OS. The nomogram without MGMT (c-index = 0.843) exhibited a similar accuracy to that with MGMT (c-index = 0.848). A pre-treatment SII is independently associated with OS in GBM. A nomogram integrating the SII-NLR score may facilitate a comprehensive survival evaluation independent of molecular tests in GBM.

The relation between apical thrombus formation and systemic immune-inflammation index in patients with acute anterior myocardial infarction

Left ventricular (LV) apical thrombus formation is a well described and clinically important complication of acute myocardial infarction (MI) with a substantial risk of thromboembolism. Alterations in the inflammatory status may contribute to this complication. The aim of this study was to evaluate the predictive role of the systemic immune-inflammation index (SII) in identifying high risk patients who will develop an apical thrombus formation during the acute phase of anterior transmural infarction. Consecutive 1753 patients (mean age: 61.5 ± 9.6 years; male: 63.8 %) with first acute anterior MI who underwent primary percutaneous coronary intervention were assessed. Patients were divided into 2 groups according to the presence of apical thrombus. SII was calculated using the following equation: neutrophil (N) × platelet (P) ÷ lymphocyte (L). LV apical thrombus was detected on transthoracic echocardiogram in 99 patients (5.6%). Patients with an apical thrombus had lower LV ejection fraction, prolonged time from symptoms to treatment, higher rate of post-percutaneous coronary intervention thrombolysis in myocardial infarction flow ≤1 and significantly higher mean high-sensitivity C-reactive protein, and SII values and lower lymphocyte than those without an apical thrombus. Admission SII level was found to be a significant predictor for early LV apical thrombus formation complicating a first-ever anterior MI. This simple calculated tool may be used to identify high-risk patients for LV thrombus and individualization of targeted therapy.

Role of pan immune inflammatory value in the evaluation of hepatosteatosis in children and adolescents with obesity

OBJECTIVES

Inflammation is a feature of non-alcoholic fatty liver disease progression and plays an important role in hepatic steatosis and fibrosis. Since there are no studies in the literature showing the relationship between hepatosteatosis with the systemic immune-inflammation index (SII) and pan-immune inflammation value (PIV), we aimed to evaluate the relationship between these biomarkers and hepatosteatosis in childhood.

METHODS

We included 133 consecutive obese children and adolescents aged 6-18 years into this single-center, retrospective, and cross-sectional study. Anthropometric, physical examination, radiological and laboratory data were obtained and recorded from the file records of each case.

RESULTS

When we grouped the patient population according to the grade of hepatosteatosis, there was a statistically significant difference between the groups in terms of SII and PIV values (p<0.05, for both). In the analyzes performed to identify independent predictors of hepatosteatosis pubertal status (p=0.019) and PIV value (p<0.001) were found to be significant as independent predictors. Moreover, in the analysis performed to predict severity of hepatic steatosis, regression analysis was performed by dividing the groups into groups with and without severe adiposity. As a result of this analysis, HOMA-IR (p=0.019) and PIV value (p=0.028) were found to be significant in the prediction of severe hepatic adiposity.

CONCLUSIONS

Our findings showed that increased PIV levels were associated with the presence and severity of hepatic steatosis, but not with SII.

Association of the systemic immune-inflammation index (SII) and clinical outcomes in patients with stroke: A systematic review and meta-analysis

Introduction

A novel systemic immune-inflammation index (SII) has been proven to be associated with outcomes in patients with cancer. Although some studies have shown that the SII is a potential and valuable tool to diagnose and predict the advise outcomes in stroke patients. Nevertheless, the findings are controversial, and their association with clinical outcomes is unclear. Consequently, we conducted a comprehensive review and meta-analysis to explore the relationship between SII and clinical outcomes in stroke patients.

Methods

A search of five English databases (PubMed, Embase, Cochrane Library, Scopus, and Web of Science) and four Chinese databases (CNKI, VIP, WanFang, and CBM) was conducted. Our study strictly complied with the PRISMA (the Preferred Reporting Items for Systematic Reviews and Meta-Analyses). We used the NOS (Newcastle-Ottawa Scale) tool to assess the possible bias of included studies. The endpoints included poor outcome (the modified Rankin Scale [mRS] ≥ 3 points or > 3 points), mortality, the severity of stroke (according to assessment by the National Institute of Health stroke scale [NIHSS] ≥ 5 points), hemorrhagic transformation (HT) were statistically analyzed.

Results

Nineteen retrospective studies met the eligibility criteria, and a total of 18609 stroke patients were included. Our study showed that high SII is significantly associated with poor outcomes (odds ratio [OR] 1.06, 95% confidence interval [CI] 1.02-1.09, P = 0.001, I² = 93%), high mortality (OR 2.16, 95% CI 1.75-2.67, P < 0.00001, I² = 49%), and the incidence of HT (OR 2.09, 95% CI 1.61-2.71, P < 0.00001, I² = 42%). We also investigated the difference in SII levels in poor/good outcomes, death/survival, and minor/moderate-severe stroke groups. Our analysis demonstrated that the SII level of the poor outcome, death, and moderate-severe stroke group was much higher than that of the good outcome, survival, and minor stroke group, respectively (standard mean difference [SMD] 1.11, 95% CI 0.61-1.61, P < 0.00001 [poor/good outcome]; MD 498.22, 95% CI 333.18-663.25, P < 0.00001 [death/survival]; SMD 1.35, 95% CI 0.48-2.23, P = 0.002 [severity of stroke]). SII, on the other hand, had no significant impact on recanalization (OR 1.50, 95% CI 0.86-2.62, P = 0.16).

Discussion

To the best of our knowledge, this may be the first meta-analysis to look at the link between SII and clinical outcomes in stroke patients. The inflammatory response after a stroke is useful for immunoregulatory treatment. Stroke patients with high SII should be closely monitored, since this might be a viable treatment strategy for limiting brain damage after a stroke. As a result, research into SII and the clinical outcomes of stroke patients is crucial. Our preliminary findings may represent the clinical condition and aid clinical decision-makers. Nonetheless, further research is needed to better understand the utility of SII through dynamic monitoring. To generate more robust results, large-sample and multi-center research are required.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42022371996.

The predictive value of the preoperative systemic immune-inflammation index in the occurrence of postoperative pneumonia in non-small cell lung cancer: A retrospective study based on 1486 cases

BACKGROUND

To investigate the correlation between the preoperative systemic immune-inflammation index (pSII) and postoperative pneumonia (POP) in surgical non-small cell lung cancer patients.

METHODS

Patients who underwent lung cancer surgery at West China Hospital of Sichuan University were retrospectively included. The indicators were collected, including basic information of patients, surgery-related variables and POP rate. The predictive value of the pSII in the occurrence of POP was analyzed.

RESULTS

A total of 1486 patients (male: 748, 50.3%; female: 738, 49.7%; mean age: 58.2 ± 9.7 years; median age: 59 years old, interquartile range: 51-65 years old) were finally included in the study, of which 142 patients had POP with an incidence of 9.5% (142/1486), 9.2% (69/748) in males, and 9.9% (73/738) in females. The proportion of patients with diabetes in the pneumonia group was significantly higher than that in the nonpneumonia group (9.8%, 14/142 vs. 5.6%, 75/1344, p = 0.041). Compared with the nonpneumonia group, the level of the preoperative body mass index (24.2 [21.9, 26.1] vs. 23.1 [21.1, 25.2], p = 0.003) and SII (487 [350, 673] vs. 345 [230, 500], p < 0.001) in the pneumonia group were significantly higher. Multiple factor analysis showed that the pSII (odds ratio: 1.001, 95% confidence interval: 1.000-1.001, p < 0.001) was an independent risk factor for POP (487 [350, 673] vs. 345 [230, 500], p < 0.001); receiver operating characteristic curve analysis showed that the pSII was effective in predicting POP (area under curve: 0.751, p < 0.001).

CONCLUSION

The pSII is closely related to and can effectively predict the occurrence of POP after lung cancer surgery.

The Predictive Value of Systemic Immune-Inflammation Index and Symptom Severity Score for Sepsis and Systemic Inflammatory Response Syndrome in Odontogenic Infections

Acute Odontogenic Infections (OI) are the leading cause of emergency visits and hospitalizations to the maxillofacial department, and may induce systemic inflammatory complications. Increasing numbers of OI patients need extended hospitalizations, various treatments, and intensive care. The Symptom Severity score (SS) helps doctors assess the likelihood of infection and admission complications. Systemic Immune-inflammation Index (SII) is a biomarker-based inflammatory prognosis score. It was hypothesized that greater SII and SS values might suggest a higher risk for sepsis and systemic inflammatory response syndrome (SIRS). Therefore, this research aims to discover whether SII and SS scores can reliably predict odontogenic infection severity and prognosis, and if they can be used to predict the development of SIRS and sepsis in OI using admission features. The study was designed as a retrospective cohort, with patients' data being retrieved from medical records between January 2017 to April 2022. A total of 108 OI patients were matched 1:1 as low-severity and high-severity groups. Most individuals with severe infections had diabetes and smoking as comorbidities. Severe patients had longer hospital stays (12.0 days vs. 4.1 days), although mortality rates did not significantly differ. A total of 11.1% lower-severity patients (Group A) had SIRS during hospitalization, compared to Group B with 25.9%. Group A had 7.4% of patients that developed sepsis compared to Group B's rate of 22.2%. The correlation between OI's SS and SII index values was positive and statistically significant (r = 0.6314). The total SII index mean was 1303, whereas the mean values by severity were 696.3 in Group A and 2312.4 in Group B. Group A's mean SS score was 6.1, while Group B's was 13.6. According to the calculated AUC plots, SII and SS scores were accurate predictors of sepsis and SIRS development using OI admission parameters. The adjusted odds ratio for SIRS in OI patients was 2.09, and 2.27 for sepsis. Medical professionals and dentistry teams should be encouraged to use the SII and SS scores to diagnose and anticipate sepsis and SIRS, hence improving disease management decisions.

The Combination of Inflammatory Biomarkers as Prognostic Indicator in Salivary Gland Malignancy

Background: The aim of this study was to investigate how the systemic inflammation response index (SIRI), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR), taken individually and combined, are associated with overall survival (OS) in patients surgically treated for malignant salivary gland tumors (MSGTs). Methods: A retrospective analysis of 74 cases following surgery at our department between January 2011 and June 2018 was performed. The Receiver Operating Characteristic (ROC) curve was used to calculate the optimal cutoff values for SII, SIRI, PLR, and NLR. Survival curves of different groups at 1−3−5 years were estimated using the Kaplan−Meier method. Results: The optimal thresholds with the highest sensitivity and specificity were 3.95 for NLR, 187.6 for PLR, 917.585 for SII, and 2.045 for SIRI. The ROC curves revealed that the best combination with AUC = 0.884 was SII + SIRI. The estimated 5-year OS probability in patients with SII+ SIRI scores of 0, 1, and 2 was 96%, 87.5% and 12.5%, respectively (p < 0.001). Conclusion: SII+ SIRI can independently predict the OS of patients after MSGT surgery. The prognostic score system based on SII+ SIRI may be good clinical practice as a reference for clinical decision-making.

The SII reflects inflammation in acne vulgaris, but fails to determine categorical severity

BACKGROUND

Systemic Immune Inflammation Index (SII; calculated by multiplying neutrophil-lymphocyte ratio and platelet count) has been investigated as a marker of inflammation.

AIM

we aimed to investigate the relationship of SII with acne severity and whether it can be used as a practical method in determining categorical acne severity.

MATERIALS AND METHODS

All participants (aged 15-30 years, n = 212) were prospectively evaluated with acne severity scales, including the Global Acne-Grading System (GAGS), the Comprehensive Acne Severity Scale (CASS), and the Patient-centered Acne Severity Scale. Patients were grouped according to GAGS: healthy individuals (n = 53), patients with mild (n = 44), moderate (n = 86), and severe acne (n = 29). Patients' hemogram data obtained simultaneously with the physical examination were used in the analysis.

RESULTS

The groups were statistically similar in terms of age and gender, both according to acne severity and current lesion types. The neutrophil count was significantly higher in patients with nodulocystic acne than in acne patients with non-inflammatory lesions or healthy individuals (p: 0.022). SII was significantly higher in acne patients with nodulocystic lesions than in individuals with milder lesions, both non-inflammatory and inflammatory (p = 0.004). SII was weakly significantly correlated with GAGS, CASS, and the number of nodulocystic lesions (r = 0.164, p = 0.018; r = 0.147, p = 0.034; r = 0.222, p = 0.001). However, none of the hemogram parameters, including SII, differed in classifying acne severity according to GAGS (p > 0.05).

CONCLUSIONS

Systemic immune inflammation index may be a new and reliable inflammatory marker to reflect the severity of inflammation, especially in patients with nodulocystic acne, although it is not useful in categorizing acne severity.

Efficacy of the Systemic Immune Inflammation Index in Malignant and Benign Parotid Neoplasms

Objective Several studies have looked at systemic immune-inflammation index (SII) (neutrophil x platelet x lymphocyte) values, which have been shown to be useful in determining tumor aggressivity and prognosis, as well as predicting recurrence risk, particularly in cancer cases. The purpose of the current study was to determine SII values in patients with parotid masses and investigate their utility in distinguishing between malignant and benign parotid tumors. Methods This retrospective study included 237 adult patients-112 women and 125 men-who were followed up on and treated for parotid mass between 2015 and 2021. The SII values determined were compared between the groups. Results The difference between the two groups was statistically significant (p = 0.001). In addition, SII values were higher in malignant tumors with perineural and lymphovascular invasion compared to other malignant tumors, although the difference was not statistically significant. Conclusions Although SII values yielded significant results in differentiating malignant from benign parotid tumors, since no significant cut-off value was determined, we do not think that they represent an effective marker capable of being used to distinguish between these tumors in clinical practice.

Systemic immune-inflammation index as a prognostic marker for advanced chronic heart failure with renal dysfunction

AIMS

We aim to investigate the correlation between high levels of the systemic immune-inflammation index (SII) and long-term mortality and major cardiovascular adverse events in advanced chronic heart failure patients with renal dysfunction.

METHODS AND RESULTS

Seven hundred seventeen advanced chronic heart failure patients with renal dysfunction, who visited the First affiliated hospital of Zhengzhou University from September 2019 to December 2020, were included. All-cause mortalities (ACM) were selected as primary endpoints and major cardiovascular adverse events (MACEs) as the secondary endpoints. Based on the receiver operating characteristic (ROC) curve and the Youden index, the optimal cut-off values of SII for ACM and MACEs were 1228 and 1406. In the group where ACM were the primary endpoint, patients were categorized into the low-SII group (n = 479) and the high-SII group (n = 238). Patients in the group using MACEs as the secondary endpoint were also categorized into the low-SII groups (n = 514) and the high-SII groups (n = 203). Univariate and multivariate COX regression were used to screen the independent predictors for ACM and MACEs, revealing the relationship between SII levels and endpoints. According to the univariate COX analysis, SII was the risk factor (hazard ratio [HR] = 2.144, 95% confidence interval [CI]: 1.565-2.938, P < 0.001) for the ACM subgroup. It was also the risk factor (HR = 1.625, CI: 1.261-2.905, P < 0.001) for the MACEs subgroup. Multivariate COX regression analysis indicated that the occurrence of ACM and MACEs in high-level SII and low-level SII patients had statistical differences. The incidence of ACM increased by 70.3% (HR = 1.703; 95% CI: 1.200-2.337; P = 0.002) in patients of the high SII level group, the incidence of MACEs increased by 58.3% (HR = 1.583, 95% CI: 1.213-2.065, P = 0.001). Kaplan-Meier (K-M) survival analysis further suggested that patients with a high SII level had an increased risk of having ACM (log-rank P < 0.001) and MACEs (log-rank P < 0.001) within 30 months. SII could be considered as a novel predictor of the occurrence of ACM and MACEs for patients with advanced chronic heart failure and renal dysfunction.

CONCLUSIONS

This study suggested that SII is a novel independent predictor of mortality in advanced chronic heart failure patients with renal dysfunction, and it should be considered in current clinical management.

Complete Blood Count-Derived Inflammatory Markers Changes in Dogs with Chronic Inflammatory Enteropathy Treated with Adipose-Derived Mesenchymal Stem Cells

Adipose-derived mesenchymal stem cells (Ad-MSCs) exhibit anti-inflammatory and immunomodulatory activities. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) have been reported as novel biomarkers of the inflammatory state; however, they have never been examined in dogs with chronic inflammatory enteropathy (CIE) treated with Ad-MSCs. This study aimed to compare the clinical evolution and the changes in the NLR, PLR, and SII in dogs with CIE before and after cell therapy. Sixteen dogs with CIE were administered a single intravenous dose of Ad-MSCs. The canine chronic enteropathy clinical activity index (CCECAI), NLR, PLR, and SII were assessed before treatment (T0) and at 2 (T2) and 9 (T9) months post-treatment and compared over time and with the reference values obtained from a group of healthy dogs. NLR, PLR, and SII were significantly increased at T0 compared to the reference values, decreasing significantly over time. At T9, the NLR and SII did not differ from the reference values, but PLR remained above the reference values. A correlation was observed between CCECAI and the three markers. These findings show that the clinical improvement of dogs with CIE treated with Ad-MSCs is accompanied by a normalization of the inflammatory status.

A New Inflammatory Marker of Clinical and Diagnostic Importance in Diabetic Foot Infection: Systemic Immune-Inflammation Index

Diabetes and associated complications still pose an important public health problem. Osteomyelitis as especially seen in patients with diabetes is associated with increased rates of morbidity and mortality. The present study aimed to investigate the clinical and diagnostic significance of inflammatory markers, including the systemic immune-inflammation index (SII) and erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and procalcitonin (PCT) to differentiate osteomyelitis and cellulitis. The present study included 96 patients with osteomyelitis (Group 1) and 151 patients with cellulitis (Group 2). Inflammatory markers were significantly elevated in Group 1 compared to Group 2 patients (p < 0.05). Furthermore, the correlation coefficients (rho) between SII and ESR, CRP, and PCT were 0.466 (p < 0.001), 0.627 (p < 0.001), and 0.501 (p < 0.001), respectively, as a result of Spearman's Rho analysis. Accordingly, a moderately positive relationship was found between the variables. The area under the curve (AUC) values for SII, ESR, CRP, and PCT in diabetic foot infection patients with osteomyelitis were 0.687, 0.722, 0.692, and 0.641, respectively. As a result of the Likelhood Ratio (LR) test, the cut-off values were 2.182 for SII (sensitivity: 39.8% and specificity: 79.8%), 76.5 mm/h for ESR (sensitivity: 59.1% and specificity: 73.1%), 109.5 mg/mL for CRP (sensitivity: 40.9% and specificity: 79.8%), and 0.44 ng/mL for PCT (sensitivity: 26.1% and specificity: 88.2%). In conclusion, given that the patients with osteomyelitis had much higher ESR, CRP, PCT, and SII levels combined with the fact that SII is a low-cost and easy-to-measure index, suggests that the same may serve as an effective and novel marker alternative to other inflammatory markers for predicting diabetic foot osteomyelitis.

Short- and Mid-Term Survival Prediction in Patients with Acute Type A Aortic Dissection Undergoing Surgical Repair: Based on the Systemic Immune-Inflammation Index

Purpose

The postoperative survival of patients with acute type A aortic dissection (aTAAD) remains unsatisfactory. The current study developed an easy-to-use survival prediction model and calculator.

Methods

A total of 496 patients with aTAAD undergoing surgical repair were included in this study. The systemic immune-inflammation index (SII) and other clinical features were collected and subjected to logistic and Cox regression analyses. The survival prediction model was based on Cox regression analyses and exhibited as a nomogram. For convenience of use, the nomogram was further developed into calculator software.

Results

We demonstrated that a higher preoperative SII was associated with in-hospital death (OR: 4.116, p < 0.001) and a higher postoperative overall survival rate (HR: 2.467, p < 0.001) in aTAAD patients undergoing surgical repair. A survival prediction model and calculator based on SII and four other clinical features were developed. The overall C-index of the model was 0.743. The areas under the curves (AUCs) of the 1- and 3-month and 1- and 3-year survival probabilities were 0.73, 0.71, 0.71 and 0.72, respectively. The model also showed good calibration and clinical utility.

Conclusion

Preoperative SII is significantly associated with postoperative survival. Based on SII and other clinical features, we created the first easy-to-use prediction model and calculator for predicting the postoperative survival rate in aTAAD patients, which showed good prediction performance.

VASOplegia is Predicted by Preoperative Platelet-LEucocyte conGlomerate Indices in Cardiac Surgery (VASOPLEGICS): A retrospective single-center study

Background

Post-cardiotomy vasoplegia syndrome (VS) is often linked to an exaggerated inflammatory response to cardiopulmonary bypass (CPB). At the same time, the prognostic role of platelet-leucocyte indices (PLIs) and leucocyte indices (LIs), (platelet-lymphocyte ratio [PLR], systemic immune-inflammation index [SII = platelet × neutrophil/lymphocyte], aggregate index of systemic inflammation [AISI = platelet × monocyte × neutrophil/lymphocyte], and neutrophil-lymphocyte ratio [NLR], systemic inflammation response index [SIRI = monocyte × neutrophil/lymphocyte), respectively] has been recently described in diverse inflammatory settings.

Methods

The retrospective study was conducted to evaluate the VS predictive performance of PLIs and LIs in 1,045 adult patients undergoing elective cardiac surgery at a tertiary care center. VS was defined by mean blood pressure <60 mmHg, low systemic vascular resistance (SVRI <1,500 dynes.s/cm 5/m2), a normal or high CI (>2.5 L/min/m2), and a normal or reduced central filling pressure despite high-dose vasopressors.

Results

About 205 (19.61%) patients developed VS postoperatively. On univariate analysis, age, diabetes, dialysis-dependent renal failure, preoperative congestive heart failure (CHF), the European System for Cardiac Operative Risk Evaluation (EuroSCORE) II, ejection fraction, NLR, PLR, SII, SIRI, AISI, CPB, and aortic cross clamp (ACC) duration, packed red blood cell (PRBC) transfusion, and time-weighted average blood glucose predicted VS. Subsequent to the multivariate analysis, the predictive performance of EuroSCORE II (OR: 3.236; 95% CI: 2.345-4.468; P < 0.001), CHF (OR: 1.04; 95% CI: 1.02-1.06; P = 0.011), SII (OR: 1.09; 95% CI: 1.02-1.18; P = 0.001), AISI (OR: 1.11; 95% CI: 1.05-1.17; P < 0.001), PRBC (OR: 4.747; 95% CI: 2.443-9.223; P < 0.001), ACC time (OR: 1.003; 95% CI: 1.001-1.005; P = 0.004), and CPB time (OR: 1.016; 95% CI: 1.004-1.028; P = 0.001) remained significant. VS predictive cut-offs of SII and AISI were 1,045 1045×109 /mm3 and 137532×109/mm3, respectively. AISI positively correlated with the postoperative vasoactive-inotropic score (R = 0.718), lactate (R = 0.655), mechanical ventilation duration (R = 0.837), and ICU stay (R = 0.757).

Conclusions

Preoperative elevated SII and AISI emerged as independent predictors of post-cardiotomy VS.

Assessment of Red Cell Distribution Width, Platelet/lymphocyte Ratio, Systemic Immune-inflammation Index, and Neutrophil/lymphocyte Ratio Values in Patients with Central Retinal Artery Occlusion

PURPOSE

To evaluate complete blood count (CBC)-derived inflammatory indices in central retinal artery occlusion (CRAO).

METHODS

A total of 42 patients with CRAO (CRAO group) and 42 age- and sex-matched subjects without CRAO (Control group) were included. CBC parameters including red cell distribution width (RDW) levels were assayed. Platelet/lymphocyte ratio (PLR), systemic immune-inflammation index (SII) and neutrophil/ lymphocyte ratio (NLR) were calculated.

RESULTS

RDW, PLR, SII and NLR values were significantly higher in CRAO group than control group [15.2 ± 1.47% vs 13.96 ± 1.13% (p < .001), 127.94 ± 48.21 vs 101.16 ± 24.84 (p = .008), 667.11 ± 357.84 vs 493.44 ± 207.07 (p = .008), 2.70 ± 1.27 vs 2.13 ± 0.83 (p = .018), respectively]. In multivariate analysis only RDW was independent predictor for CRAO (OR 2.317, p < .001). On ROC analysis, area under curve of RDW, PLR, SII, and NLR for CRAO were 0.761, 0.685, 0.622 and 0.618, respectively.

CONCLUSION

RDW seems superior to other inflammatory indices to predict CRAO.