Systemic Immune-inflammation Index Research Articles

The role of systemic immune-inflammatory index in predicting contrast-induced nephropathy in non-ST-segment elevation myocardial infarction cases.

Aim: Systemic immune-inflammation index (SII) is obtained by multiplying the platelets by the ratio of neutrophils to lymphocytes. We aimed to examine the relationship between contrast induced nephropathy (CIN) development and SII in non-ST-segment elevation myocardial infarction (NSTEMI) patients.Methods: 1124 NSTEMI patients included and divided into two groups according to the development of CIN. The relationship between SII and CIN development was examined.Results: Among two groups, significant differences were observed in terms of age, chronic renal failure, presence of critical stenoses in the LAD, SII and C-reactive protein (CRP). It was calculated that a value of 709 and above for SII had a predictive power with 74% sensitivity and 74% specificity for CIN.Conclusion: SII has the potential to predict the development of CIN in NSTEMI patients.

Systemic immune inflammatory index (SII) and systemic inflammatory response index (SIRI) as predictors of postoperative delirium in patients undergoing off-pump coronary artery bypass grafting (OPCABG) with cerebral infarction

ObjectivePostoperative delirium (POD) is a common complication following off-pump coronary artery bypass grafting (OPCABG) and is associated with significant morbidity. This study aims to evaluate the correlation of systemic immune inflammatory index (SII) and systemic inflammatory response index (SIRI) with postoperative delirium (POD) in patients with cerebral infarction undergoing OPCABG.MethodsThe perioperative cohort study included 321 patients who underwent OPCABG. Patients were divided into two groups based on the occurrence of POD: the delirium group (n = 113) and the non-delirium group (n = 208). Baseline characteristics, including gender, left ventricular ejection fraction (LVEF), surgery duration, hypertension, age, and smoking history were analyzed. SII and SIRI values were calculated preoperatively, and their association with POD was assessed using univariate and multivariate logistic regression analyses. Receiver operating characteristic (ROC) curves were used to evaluate the predictive accuracy of SII and SIRI.ResultsStatistical differences between SII and SIRI in the two groups (P < 0.05) were observed. Multivariate analysis confirmed that SII and SIRI, age and preoperative smoking history were predictors of POD. ROC curve analysis demonstrated that SII and SIRI had considerable predictive power, with AUC values of 0.73 (0.67–0.79) for SII and 0.75 (0.69–0.81) for SIRI.ConclusionSII and SIRI were found to be associated with an increased risk of POD in patients undergoing OPCABG, but further research is needed to confirm these findings and determine their independence as risk factors.

Prognostic impact of systemic immune-inflammation index in patients with acute decompensated heart failure with preserved ejection fraction -PURSUIT-HFpEF Registry-

Abstract Background Systemic inflammation has been implicated in the pathophysiology of heart failure with preserved ejection fraction. Several studies have shown that systemic immune-inflammation index (SII), a novel index based on platelets, neutrophils, and lymphocytes, predicts poor prognosis in patients with cardiovascular disease. However, it remains to be elucidated whether SII could have predictive value in patients with acute decompensated heart failure with preserved ejection fraction (ADHF-HFpEF). Purpose This study is designed to investigate the association of SII at admission or discharge with poor clinical outcome in patients with ADHF-HFpEF. Methods Patients’ data were extracted from The Prospective mUlticenteR obServational stUdy of patIenTs with Heart Failure with Preserved Ejection Fraction (PURSUIT HFpEF) study, which is a prospective multicenter observational registry for ADHF-HFpEF in a city. Laboratory data and body weight measurements were performed just before discharge. We analyzed 966 patients (mean age: 81 years old, male: 45%) after exclusion of patients on dialysis, missing follow-up data, or missing data to calculate SII. SII was calculated as follows: SII = platelet count × neutrophil count / lymphocyte count on admission and at discharge. The primary endpoint was the composite of all-cause death and rehospitalization for worsening heart failure. Results During a mean follow-up period of 1.8±1.3 years, the primary endpoint was observed in 435 patients (259 patients died and 176 patients underwent rehospitalization for worsening heart failure). In multivariate Cox analysis, high SII at discharge (&amp;gt; 536×109 determined by receiver operating characteristic curve analysis (AUC: 0.564 [0.526-0.602]) was significantly independently associated with not only the primary endpoint (hazard ratio 1.28 [1.04-1.57], p=0.020) but also all-cause death ((hazard ratio 1.39 [1.06-1.81], p=0.018) after adjustment for major confounders such as age, gender, body mass index, NYHA class, systolic blood pressure, heart rate and laboratory data including NT-proBNP and CRP. However, high SII on admission was not significantly associated with primary endpoint after multivariate adjustment. Kaplan-Meier analysis revealed that patients with high SII at discharge had significantly greater risk of both the primary endpoint (56% vs 43%, p&amp;lt;0.001) and all-cause mortality than those with low SII (36% vs 24%, p&amp;lt;0.001). Conclusion Systemic immune-inflammation index at discharge, but not on admission, would be associated with post-discharge poor outcome in patients with acute decompensated heart failure with preserved ejection fraction.

Associations between neutrophil-percentage-to-albumin ratio level and all-cause mortality and cardiovascular disease-cause mortality in general population: evidence from nhanes 1999-2010

Abstract Introduction Chronic inflammation is a recognized independent risk factor for cardiovascular disease (CVD), highlighting the need for reliable inflammatory indicators to predict CVD(1). As an inflammatory indicator which has been proved to have predictive value for the prognosis of CVDs, neutrophil percentage-to-albumin ratio (NPAR) has obtained increasing attention(2,3), but further research is needed to confirm the relationship with mortality in general population. Purpose To explore whether NPAR can serve as a predictive inflammatory indicator for CVD-cause and all-cause mortality in general population. Methods This prospective cohort study included 21317 individuals who participated in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2010. The baseline NPAR level was calculated as Neutrophil percentage (%) * 100/Albumin (g/dl). Data for CVD and all-cause mortality were acquired by linking the cohort database with the National Death Index through December 31, 2019.Weighted Kaplan–Meier curves with log-rank tests were conducted to access cumulative survival differences across different NPAR results. Restricted cubic spline analyses were employed to examine the nonlinear association. Multivariable Cox proportional hazards regression models were used to compute hazard ratios and 95% CIs. Receiver Operating Characteristic (ROC) curves were used to compare predictive value of NPAR with systemic immune inflammation index (SII) and neutrophils percent. Results In this cohort study, during 270014 person-years of follow-up, 4074 all-cause deaths and 1116 CVD-cause deaths were documented. We found significant associations between elevated NPAR and both CVD-cause and all-cause mortality in Kaplan–Meier curves (both P for log-rank test&amp;lt;0.001). Restricted cubic splines revealed non-linear associations between NPAR level and both CVD-cause (P=0.018 for nonlinearity) and all-cause mortality (P&amp;lt;0.001 for nonlinearity) (Figure 1A and 1B). After adjusting for confounding factors, participants in the highest NPAR tertile had a significantly increased risk of all-cause mortality (HR: 1.46, 95% CI: 1.33-1.61) and CVD-cause mortality (HR: 1.54, 95% CI: 1.32-1.80) compared to those in the lowest tertile, while no association was detected for individuals in the middle tertile (Figure 2). The effect of NPAR was consistent across most subgroups, with no significant interaction with most covariates except for high cholesterol (CVD-cause mortality: P=0.014, all-cause mortality: P=0.022). Further ROC analysis confirmed that NPAR had higher predictive value than neutrophil percent and SII. Conclusions Elevated NPAR level was significantly associated with an increased risk of all-cause and CVD-cause mortality in general population.Given its easy-to-calculate nature and high predictive value, NPAR index, with implications in public health, deserves greater attention in inflammatory assessment and cardiovascular prevention.Figure 1 Nonlinear associationFigure 2 Cox regression table

The admission inflammatory biomarkers profile of elderly hip fractures and its association with one-year walking independence and mortality: a prospective study.

Immune response plays an important role in the regulation of elderly hip fracture. This study aims to analyze the relationship between systemic inflammatory markers including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) and mortality and walking independence, providing valuable references for the postoperative management of geriatric hip fracture. A retrospective analysis of prospective data on elderly patients who have undergone hip surgery and have been followed for at least one year. The receiver operating characteristic (ROC) curves and the optimum cutoff value were calculated. Univariate analysis and multivariate logistic regression analysis were used to identify the associations between admission four systemic inflammatory markers and one-year mortality and locomotion recovery. During the study period, respiratory disease was the most common cause of death, followed by cardiovascular disease. Multivariate analysis identified NLR (OR, 1.13; 95%CI: 1.09-1.17), SIRI(OR, 1.18; 95%CI: 1.08-1.28) and advanced age (OR, 1.06; 95%CI: 1.01-1.11) as independent risk factors for one-year mortality. In addition, 89 (rate, 31.8%) survivors had poor walking independence within one year. NLR (OR, 1.37; 95%CI: 1.26-1.50), SII(OR, 1.00; 95%CI: 1.001-1.003), SIRI(OR, 1.36; 95%CI: 1.18-1.57) and advanced age (OR, 1.08; 95%CI: 1.02-1.13) were associated with postoperative locomotion recovery. In summary, admission NLR and SIRI are correlated with a high risk of one-year walking independence and mortality, providing a basis for the clinical management of geriatric hip fractures.

Eosinophil–Basophil/Lymphocyte (EB/LR) and Eosinophil–Basophil–Platelet/Lymphocyte (EBP/LR) Ratios Could Serve as Useful Additional Markers for Assessing the Severity of Wasp Allergic Reactions

Wasp venom allergy can trigger severe allergic reactions, and predicting these acute responses remains challenging. This study evaluates the utility of immune system indexes, particularly the eosinophil–basophil/lymphocyte (EB/LR) and eosinophil–basophil–platelet/lymphocyte (EBP/LR) ratios, in assessing the severity of allergic reactions in patients with wasp venom allergy. A total of 61 patients with confirmed wasp venom allergy were categorized according to the Mueller scale, which classifies the severity of allergic reactions. Blood samples were analyzed for total and specific IgE levels alongside a range of hematological and biochemical parameters. This study found significant differences in the EB/LR and EBP/LR indexes between patients with mild (Mueller I–II) and severe (Mueller III–IV) allergic reactions, with higher values indicating more severe responses. However, no significant differences were observed in other immune indexes, such as the platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, systemic immune-inflammation index, and systemic inflammatory response index, as well as in additional blood parameters. These findings suggest that the EB/LR and EBP/LR ratios may serve as useful markers for predicting the severity of allergic reactions in patients with wasp venom allergy. This is the first study to establish such a link, although further research with larger cohorts is necessary to confirm these results and their potential application in clinical settings.

Actinomyces status and inflammatory biomarkers in post-tonsillectomy hemorrhage cases

Background The presence of Actinomyces can be associated with complications. Aims This study aimed to determine the frequency of post-tonsillectomy hemorrhage (PTH), the presence of Actinomyces in palatine tonsils and serum inflammatory biomarker levels in PTH. Material and methods The cases who underwent tonsillectomy at a single center were included in the study. Neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), systemic immune inflammation index (SII) and systemic inflammation response index (SIRI) values were calculated from the complete blood count test. The presence of Actinomyces was recorded from histopathological tonsillectomy material. Results A total of 1137 patients were included in the study. Actinomyces was detected in 93 (8.18%) patients. Bleeding complications were encountered in 65 cases (5.72%). No relationship was detected between the presence of Actinomyces and PTH rates (p = 0.433). While a relationship was found between age, NLR, and SIRI values and Actinomyces status (respectively, p < 0.001, p = 0.017, p = 0.038), no statistically significant relationship was found between tonsil size, PLR, and SII (p > 0.05). Conclusion and significance According to the data in our study, NLR and SIRI values were elevated in subjects with Actinomyces. Our findings suggest that this entity has a systemic manifestation. Serum inflammatory biomarkers and the presence of Actinomyces were not found to be associated with PTH.

Assessing systemic inflammatory markers in psoriasis: A retrospective study.

Psoriasis is a chronic inflammatory disease often associated with serious cardiovascular comorbidities. The aim of this study was to investigate the systemic inflammatory burden in psoriasis by examining various inflammatory markers and to assess the relationship between these markers and the severity of the disease. This retrospective study was conducted on medical records of patients who visited the dermatology outpatient clinic between 1 January 2016 and 31 December 2022. The study included patients with psoriasis vulgaris and healthy volunteers. Demographic data, Psoriasis Area and Severity Index score, C-reactive protein, monocyte-high-density lipoprotein cholesterol ratio, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, systemic immune-inflammation index, and Systemic Inflammation Response Index were analysed and compared. A total of 278 psoriasis patients and 90 healthy volunteers were analysed. Compared to the control group, psoriasis patients showed significantly higher systemic immune-inflammation index, Systemic Inflammation Response Index, neutrophil-to-lymphocyte ratio, monocyte-high-density lipoprotein cholesterol ratio, serum C-reactive protein levels, neutrophil count, monocyte count, body mass index, and waist circumference (p < 0.001, p = 0.001, p < 0.001, p = 0.014, p < 0.001, p < 0.001, p = 0.046, p < 0.001, and p = 0.011, respectively). Among patients with severe psoriasis (Psoriasis Area and Severity Index >10), systemic immune-inflammation index, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and serum C-reactive protein levels were significantly higher compared to patients with mild/moderate psoriasis (Psoriasis Area and Severity Index ≤10). In the ROC curve analysis, the optimal cut-off (AUC, sensitivity, specificity) values for neutrophil-to-lymphocyte ratio, systemic immune-inflammation index, and platelet-to-lymphocyte ratio were found to be 2.11 (0.592, 62%, 57%), 552.9 (0.579, 61%, 58%), and 111.9 (0.578, 64%, 46%), respectively. The inflammatory parameters that showed correlation with Psoriasis Area and Severity Index were systemic immune-inflammation index, Systemic Inflammation Response Index, neutrophil-to-lymphocyte ratio, monocyte-high-density lipoprotein cholesterol ratio, monocyte-to-lymphocyte ratio, and C-reactive protein. The findings of this study suggest that systemic immune-inflammation index, Systemic Inflammation Response Index, neutrophil-to-lymphocyte ratio, monocyte-high-density lipoprotein cholesterol ratio, and C-reactive protein values have the potential to serve as simple and cost-effective markers for assessing the inflammatory burden in individuals with psoriasis.

Relationship Between Serum Interleukin-6 Levels, Systemic Immune-Inflammation Index, and Other Biomarkers Across Different Rheumatoid Arthritis Severity Levels.

Background Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized by joint inflammation, pain, and progressive disability. Identifying biomarkers that accurately reflect disease severity is crucial for effective management. Interleukin-6 (IL-6) is a pro-inflammatory cytokine involved in the pathogenesis of RA, and the systemic immune-inflammation index (SII) is emerging as a useful marker of systemic inflammation. This study aims to explore the relationship between serum IL-6 levels, SII, and various biomarkers to better predict disease severity in RA patients. Objective To determine the relationship between serum IL-6 levels and the SII, along with various biomarkers, across different severity levels for predicting the severity of RA in patients. Methods This cross-sectional, observational study was conducted at the Mardan Medical Complex from January 2024 to August 2024, involving 67 RA patients.Clinical assessments included demographic data, disease activity (DAS28), pain (VAS), joint damage (Larsen score), and functional status (HAQ-DI). Serum IL-6 levels, along with other biomarkers such as C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and the SII, were measured through fasting blood samples. Statistical analyses, including density plots, scatter plots, boxplots with ANOVA, and random forest models, were performed to explore associations between IL-6 and all other variables. Significance was set at p < 0.05. Results The study included 67 RA patients (mean age: 41.79 ± 10.51 years, 53.73% male). Elevated IL-6 levels (mean: 80.28 ± 35.27 pg/mL) were strongly associated with disease severity. Patients with DAS28 > 5.5 had IL-6 levels over 100 pg/mL, while those in remission had around 40 pg/mL. IL-6 levels correlated with joint damage (100 pg/mL in severe cases) and pain (over 120 pg/mL for severe pain). Patients with metabolic and cardiovascular comorbidities had the highest IL-6 levels, particularly with diabetes and hypertension (98.6 pg/mL) or cardiovascular disease (119.3 pg/mL). IL-6 correlated strongly with CRP (r = 0.65), ESR (r = 0.51), and SII (r = 0.62). Regression confirmed IL-6 as an independent predictor of severity (p < 0.001), with comorbidities being key predictors. Conclusion Elevated IL-6 and SII levels serve as critical markers for predicting the severity of RA. Addressing these markers may lead to more targeted and effective therapeutic strategies for managing disease progression.

MRI radiomics and nutritional-inflammatory biomarkers: a powerful combination for predicting progression-free survival in cervical cancer patients undergoing concurrent chemoradiotherapy

ObjectiveThis study aims to develop and validate a predictive model that integrates clinical features, MRI radiomics, and nutritional-inflammatory biomarkers to forecast progression-free survival (PFS) in cervical cancer (CC) patients undergoing concurrent chemoradiotherapy (CCRT). The goal is to identify high-risk patients and guide personalized treatment.MethodsWe performed a retrospective analysis of 188 patients from two centers, divided into training (132) and validation (56) sets. Clinical data, systemic inflammatory markers, and immune-nutritional indices were collected. Radiomic features from three MRI sequences were extracted and selected for predictive value. We developed and evaluated five models incorporating clinical features, nutritional-inflammatory indicators, and radiomics using C-index. The best-performing model was used to create a nomogram, which was validated through ROC curves, calibration plots, and decision curve analysis (DCA).ResultsModel 5, which integrates clinical features, Systemic Immune-Inflammation Index (SII), Prognostic Nutritional Index (PNI), and MRI radiomics, showed the highest performance. It achieved a C-index of 0.833 (95% CI: 0.792–0.874) in the training set and 0.789 (95% CI: 0.679–0.899) in the validation set. The nomogram derived from Model 5 effectively stratified patients into risk groups, with AUCs of 0.833, 0.941, and 0.973 for 1-year, 3-year, and 5-year PFS in the training set, and 0.812, 0.940, and 0.944 in the validation set.ConclusionsThe integrated model combining clinical features, nutritional-inflammatory biomarkers, and radiomics offers a robust tool for predicting PFS in CC patients undergoing CCRT. The nomogram provides precise predictions, supporting its application in personalized patient management.

Elevated postoperative systemic immune-inflammation index associates with acute kidney injury after cardiac surgery: a large-scale cohort study

Elevated postoperative systemic immune-inflammation index associates with acute kidney injury after cardiac surgery: a large-scale cohort study

Predicting the prognosis of patients with renal cell carcinoma based on the systemic immune inflammation index and prognostic nutritional index

The aim of the study was to analyze and discuss the value of preoperative systemic immune inflammation index (SII) and prognostic nutritional index (PNI) in predicting the prognosis of patients with renal cell carcinoma (RCC) after operation, and to establish a nomogram prediction model for patients with RCC after operation based on SII and PNI. From January 2014 to December 2018, 210 patients with RCC who underwent surgical treatment at the Xuzhou Central Hospital were selected as the research object. The receiver operating characteristic curve (ROC) was used to determine the optimal cut-off value for preoperative SII, PNI, LMR, PLR, NLR and the patients were divided into groups according to the optimal cutoff values. The survival rate of patients was evaluated. The risk factors that affect the prognosis of patients with RCC were determined by LASSO and Cox regression analysis, and a prognostic nomogram was constructed based on this result. The bootstrap method was used for internal verification of the nomogram model. The prediction efficiency and discrimination of the nomogram model were evaluated by the calibration curve and index of concordance (C-index), respectively. The average overall survival (OS) of all patients was 75.385 months, and the 1-, 2-and 3-year survival rates were 95.5%, 86.6% and 77.2%, respectively. The survival curve showed that the 5-year OS rate of low SII group was significantly higher than that of high SII group (89.0% vs. 64.5%; P < 0.05), and low PNI group was significantly lower than those in high PNI group (43.4% vs. 87.9%; p < 0.05). There were significant differences between preoperative SII and CRP, NLR, PLR, LMR, postoperative recurrence, pathological type and AJCC stage (P < 0.05). There were significant differences between preoperative PNI and BMI, platelet, NLR, PLR, LMR, postoperative recurrence, surgical mode and Fuhrman grade (P < 0.05). The ROC curve analysis showed that the AUC of PNI (AUC = 0.736) was higher than that of other inflammatory indicators, followed by the AUC of SII (0.718), and the difference in AUC area between groups was statistically significant (P < 0.05). The results from multivariate Cox regression analysis showed that SII, PNI, tumor size, tumor necrosis, surgical mode, pathological type, CRP, AJCC stage and Fuhrman grade were independent risk factors for postoperative death of patients with RCC. According to the results of Cox regression analysis, a prediction model for the prognosis of RCC patients was established, and the C-index (0.918) showed that the model had good calibration and discrimination. The subject’s operating characteristic curve indicates that the nomogram has good prediction efficiency (the AUC = 0.953). Preoperative SII and PNI, tumor size, tumor necrosis, surgical mode, pathological type, CRP, AJCC stage and Fuhrman grade are closely related to the postoperative prognosis of patients with renal cell carcinoma. The nomogram model based on SII, PNI, tumor size, tumor necrosis, surgical mode, pathological type, CRP, AJCC stage and Fuhrman grade has good accuracy, discrimination and clinical prediction efficiency.

Systemic Inflammatory Indices as Predictors of Lung Maturation in Preterm Infants Born Before 32 Weeks of Gestation

AbstractIncreased inflammation in premature infants in the prenatal period reduces respiratory distress syndrome (RDS). Several systemic inflammatory indices have been used to evaluate inflammatory responses in different pathologies. Our study aimed to determine the systemic inflammatory indices as predictors of lung maturation in preterm infants born before 32 weeks of gestation. In this study, preterm infants born before 32 weeks of gestation were enrolled and categorized based on the diagnosis of RDS. At birth, infants were assessed for various systemic inflammatory indices, including the systemic immune-inflammation index (SII), pan-immune-inflammation value (PIV), systemic inflammation response index (SIRI), and the monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR). The study included 365 infants, of whom 211 had RDS. The median gestational ages (GA) were 27 (range: 25–29) and 30 (range: 29–31) weeks, and the median birth weights were 850 (range: 660–1,360) and 1,375 (1,090–1,600) g in the RDS and control groups, respectively. Infants in the RDS group had significantly lower MLR, NLR, PIV, SII, and SIRI values (p = 0.001) compared to the control group. The cutoff values for predicting RDS in the whole group were 239 for SII, 0.44 for SIRI, and 78 for PIV. For the group of preterm infants born at ≤28 weeks of gestation, values of 171, 0.5, and 87 for SII, SIRI and PIV, respectively, provided the best ability to predict RDS. For the whole cohort, SII level ≥239 was associated with a reduced risk of RDS, as revealed by multivariate analyses (p = 0.001). To account for GA, we performed regression analyses for infants born at ≤28 weeks. SII ≥171 (odds ratio [OR]: 0.12; 95% confidence interval [CI]: 0.05–0.3), PIV ≥87 (OR: 0.08; 95% CI: 0.03–0.21), and SIRI ≥0.5 (OR: 0.08; 95% CI: 0.03–0.2) were associated with a reduced risk of RDS. Inflammation in the perinatal period may reduce the frequency of RDS in premature infants.

The Predictive Value of Perioperative Inflammatory Indexes in Major Arterial Surgical Revascularization from Leriche Syndrome

Objectives: The role of inflammation in the pathophysiology of atherosclerosis is extensive. Our study aims to assess the predictive role of inflammatory indexes regarding in-hospital mortality in major vascular surgery of Leriche syndrome as a convenient, low-cost, and noninvasive prognostic marker to optimize the patient’s perioperative course. Methods: Our retrospective single-center study enrolled consecutive patients diagnosed with aortoiliac occlusive disease, Leriche syndrome, who underwent elective major vascular surgery between 2017 and 2023 in a tertiary cardiovascular center. Preoperative, postoperative, and day-one after-surgery data, including systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), aggregate index of systemic inflammation (AISI), neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio, and monocyte–lymphocyte ratio, were studied to the endpoint, in-hospital death. We also tested the delta values of the indexes to the endpoint. The indexes were compared to the Revised Cardiac Risk Index (RCRI) and Vascular Surgery Group Cardiac Risk Index (VSG-CRI) for outcome prediction. Results: The tested inflammatory indexes significantly increased from the preoperative to postoperative and, further, to the day-one settings. Preoperative AISI (p = 0.040) emerged as the only independent risk factor regarding in-hospital death occurrence in Leriche patients who underwent major revascularization surgery. While RCRI did not significantly predict the endpoint (AUC = 0.698, p = 0.057), VSG-CRI (AUC = 0.864, p = 0.001) presented the best result in ROC analysis. Postoperative NLR (AUC = 0.758, p = 0.006) was next, followed by NLR postoperative–preoperative (_Preop-_Postop) delta value (AUC = 0.725, p = 0.004), postoperative SIRI (AUC = 0.716, p = 0.016), SIRI_Preop-_Postop delta value (AUC = 0.712, p = 0.016), postoperative SII (AUC = 0.692, p = 0.032), and SII_Preop-_Postop delta value (AUC = 0.631, p = 0.030). Conclusions: Inflammatory indexes are valuable tools for assessing perioperative risk in major vascular surgery, enhancing the value of the already validated risk scores.

Predictive value of the systemic immune-inflammation index for periprocedural complications in flow diverter treatment for patients with intracranial aneurysms.

Flow-diverter devices (FDs) are effective in treating intracranial aneurysms (IAs) but carry substantial periprocedural risks, particularly ischemic complications. This study aimed to determine if elevated Systemic Immune-Inflammation Index (SII) can independently predict these risks and assess the impact of age and dual antiplatelet therapy on this association. We conducted a retrospective analysis of patients treated with FDs between February 2016 and August 2023, using blood samples taken within six days before surgery to calculate SII. Logistic regression and decision tree analyses assessed the link between SII and periprocedural complications, with subgroups exploring influencing factors. Multivariable analysis identified high SII as an independent predictor of periprocedural complications (OR = 5.306, 95% CI: 1.367-18.455; P = 0.009). The decision tree model confirmed SII > 0.437 as a critical threshold. Subgroup analysis showed a pronounced association of SII with periprocedural complications in patients ≥ 65 years (OR = 36.979, 95% CI: 2.103-650.134; P = 0.014) and in those on clopidogrel plus aspirin therapy (OR = 16.921, 95% CI: 2.733-104.746; P = 0.002). An elevated Systemic Immune-Inflammation Index (SII) > 0.437 significantly correlates with increased periprocedural complications (6.5% vs. 1.8%, P = 0.017). Although not statistically significant, higher SII is associated with a greater rate of ischemic events (3.9% vs. 0.9%). Elevated preoperative SII independently predicts periprocedural complications, particularly ischemic events, in patients undergoing FDs treatment for intracranial aneurysms. This association is particularly pronounced in older patients (> 65 years) and those receiving dual therapy with clopidogrel plus aspirin. Trial Registration: ClinicalTrials.gov (NCT06446778). Registered on May 22, 2024.

The association between hematological markers of inflammation and chronic cannabis use: a systematic review and meta-analysis of observational studies

IntroductionCannabinoids, both natural and synthetic, are a subject of scientific interest. Cannabis is widely used, and its impact on health and the immune system is being studied. The endocannabinoid system influences inflammation, including the Neutrophil-to-Lymphocyte Ratio (NLR), a potential diagnostic tool. Our study investigates the connection between cannabis use and NLR.MethodsOur systematic review was registered in Prospero (#CRD42023463539). We searched six databases (PubMed, Scopus, Embase, PsycINFO, Web of Science, and CINAHL Complete) for records in English from inception to May 2024. We included observational studies that measured the Neutrophil-to-Lymphocyte Ratio (NLR) in cannabis users and control participants. We used the Newcastle–Ottawa Quality Assessment Scale to assess the quality of the included studies. We selected a random-effects model, and the statistical analysis was performed using Stata software version 17.ResultsOut of a total of 4,054 records, only five articles were selected for inclusion in the meta-analysis. All of these chosen studies utilized a retrospective design. Furthermore, it's worth noting that all of the studies included were of high quality. In five studies involving 3,359 cannabis users and 10,437 non-users, no significant difference in NLR was found (WMD: 0.12 [-0.16, 0.41], I2: 39.89%). Subgroup analysis on healthy and schizophrenia participants didn't show significant NLR differences (p=0.76). Secondary analysis revealed cannabis users had higher Platelet-to-Lymphocyte Ratio (PLR) (67.80 [44.54, 91.06]), neutrophil count (0.68 [0.25, 1.12]), white blood cell count (0.92 [0.43, 1.41]), monocyte count (0.11 [0.05, 0.16]), and Systemic Immune Inflammation Index (SII) (83.48 [5.92, 157.04]) compared to non-usersConclusionOur systematic review and meta-analysis reveal that cannabis use may affect NLR and hematologic parameters, suggesting a potential immune impact. Complex associations exist, requiring further research. Schizophrenia and pro-inflammatory factors are discussed, highlighting the need for ongoing investigation into cannabis-related immune changes and mental health.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42023463539.

Associations between inflammatory markers and carotid plaques in CKD: mediating effects of eGFR–a cross-sectional study

BackgroundChronic kidney disease (CKD) is a significant public health concern associated with a high prevalence of carotid plaques, which are indicators of atherosclerosis and predictors of adverse cardiovascular outcomes. Inflammation is a hallmark of CKD, contributing to both renal dysfunction and cardiovascular complications. This study aims to investigate the association between inflammatory markers—systemic inflammatory response index (SIRI), systemic immune-inflammation index (SII), aggregate inflammatory status index (AISI), monocyte to high-density lipoprotein cholesterol ratio (MHR), neutrophil to high-density lipoprotein cholesterol ratio (NHR), neutrophil to lymphocyte ratio (NLR), and monocyte to lymphocyte ratio (MLR)—and carotid plaques in CKD patients, and to explore the potential mediating role of estimated glomerular filtration rate (eGFR) in this relationship.MethodsA cross-sectional analysis was conducted on patients admitted to the Division of Nephrology between January 2023 and June 2023. The primary endpoint was the presence of carotid plaques assessed using ultrasound imaging. Multivariable logistic regression models were used to examine the associations between inflammatory markers and carotid plaques, and trend tests were performed to evaluate the trending association of carotid plaques risk and inflammatory markers in tertiles. Restricted cubic spline (RCS) analysis was used to assess potential non-linear relationships, and subgroup analyses were conducted to examine consistency across different strata. Mediation analysis was performed to explore the role of eGFR.ResultsOf the 609 participants, 387 were included in the final analysis after applying exclusion criteria. Elevated levels of LnSIRI (OR = 1.87, 95% CI = 1.25–2.80), LnSII (OR = 1.67, 95% CI = 1.09–2.56), LnAISI (OR = 1.70, 95% CI = 1.22–2.37), LnMHR (OR = 1.94, 95% CI = 1.15–3.26), LnNHR (OR = 1.82, 95% CI = 1.10–3.02), and LnMLR (OR = 2.26, 95% CI = 1.18–4.34) were significantly associated with the presence of carotid plaques. There were significant trends for increasing tertiles of SIRI, AISI, MHR and NHR. RCS analysis showed no significant non-linear associations. Subgroup analyses indicated similar associations across most strata. eGFR partially mediated these relationships, with proportions mediated ranging from 14.7 to 17.5%.ConclusionsInflammatory markers are significantly associated with carotid plaques in CKD patients, with eGFR playing a partial mediating role. These findings highlighted the importance of managing inflammation and maintaining renal function to mitigate the risk of atherosclerosis in CKD patients.Trial registrationNot applicable.

The characteristics of T-cell receptor repertoire in relation to systemic immune response of patients with ischemic stroke.

T lymphocytes play a vital role in the immune-inflammatory response following a stroke. However, the specific mechanisms behind the contrasting functions of T cells in the brain and peripheral tissues after a stroke remain unclear and require further investigation. T-cell receptors (TCRs) are essential in controlling how T lymphocytes develop and become active. This study aims to gain a deeper understanding of the biological function of T lymphocytes by analyzing the TCR repertoire in patients who have experienced an acute ischemic stroke (AIS). High-throughput TCR sequencing was conducted on peripheral blood samples from 25 AIS patients and 10 healthy controls. We compared the percentage of T cells and the characteristics of the TCR repertoire, specifically focusing on the recombination of V(D)J gene fragments and the diversity of the complementarity determining region 3 (CDR3) of the Vβ gene. Additionally, this study analyzed the potential biological significance of the skewed TCR repertoire in AIS patients. In patients with AIS, the proportion of circulating lymphocytes (LY%) decreased while the systemic immune-inflammatory index (SII) increased compared to healthy controls. The average number of TCR read pairs decreased, corresponding with the presence of lymphopenia. However, the recombination of V(D)J gene fragments, the number of CDR3 clonotypes, and the diversity of CDR3 was elevated in the peripheral blood of AIS patients. Furthermore, the increased number of CDR3 amino acid or nucleotide clonotypes was negatively correlated with neurologic deficits but positively correlated with AIS patients' systemic immune condition and functional outcomes. Our findings suggest that both immunosuppression and enhanced antigen-specific T-cell response may exist in the periphery of the AIS patients. Further investigation into the mechanisms underlying these opposing changes may lead to the discovery of novel targets to reverse immunosuppression or mitigate the detrimental effects of T cells in the lesioned brain of AIS patients.

Do novel inflammation biomarkers arising from routine complete blood count play a role in patients with systemic lupus erythematosus?

Laboratory-based biomarkers accurately presenting systemic lupus erythematosus (SLE) disease activity may have a practical value in clinical routine. As shown in many other conditions, complete blood count (CBC)-derived biomarkers may also play a role in SLE. We aimed to study for the first time the pan-immune-inflammation value (PIV, monocytes x platelets x neutrophils/lymphocytes) and the more established systemic immune-inflammation index (SII, neutrophils x platelets /lymphocytes) in SLE patients and correlate it with serological and clinical findings including disease outcomes. In this retrospective multicentric investigation, we reviewed the clinical records of 148 SLE who had an available CBC at baseline. The latter served for the determination of the neutrophil-to-lymphocyte ratio (NLR), SII, and the PIV. Control groups were studied as well. Univariable as well as multivariable statistics were employed. The values for baseline systemic immune-inflammation biomarkers (SIIB) studied were significantly (p < 0.0001) higher than those observed in healthy controls but comparable to those obtained from patients with other inflammatory conditions. Multivariable analysis revealed that ANA titer > 1:640 remained the only significant (p < 0.0001) baseline predictor of SLE flare (odds ratio: 7.6, 95% CI 3.1 to 18.8). Improvement of SLE following treatment was associated with the absence of lymphopenia as well as ANA > 1:640 (p = 0.041). The SLEDAI-2K significantly correlated with NLR, SII, CRP, lymphocytes, and monocytes only on univariable testing. Compared to healthy controls the CBC-based SIIB investigated are significantly increased in SLE patients. However, SIIB do not appear to be useful in managing SLE clinically. Nevertheless, we confirm that higher ANA titers can predict flares of SLE.

Prognostic value of pan immune-inflammation value in patients undergoing unprotected left main coronary artery stenting.

Aim: This study aimed long-term prognostic factors for percutaneous coronary intervention (PCI) in left main coronary artery (LMCA) disease, focusing on inflammatory parameters like Pan Immune-Inflammation Value (PIV) and Systemic Immune-Inflammation Index (SII).Materials & methods: This retrospective, observational study involved 121 patients receiving unprotected LMCA PCI.The study's primary end point was MACE, including all-cause death, repeat revascularization and myocardial reinfarction.Results: The PIV and SII scores emerged as independent predictors of MACE occurrence in patients undergoing PCI for unprotected LMCA disease (p:0.045,p:0.048;respectively).In addition, age, ejection fraction, creatinine, shock presentation and the residual syntax score were identified as significant independent predictors of MACE in both models.Conclusion: This study showed a significant, independent correlation between PIV, SII and MACE in patients undergoing PCI for LMCA disease, with PIV showing slightly better predictive capability than SII.