Systemic immune-inflammation index as a promising predictor of mortality in patients with acute coronary syndrome: a real-world study

Prognostic Value of Multiple Complete Blood Count-Derived Indices in Intermediate Coronary Lesions

Complete blood count (CBC)-derived indices have been proposed as reliable inflammatory biomarkers to predict outcomes in the context of coronary artery disease. These indices have yet to be thoroughly validated in patients with intermediate coronary stenosis. Our study included 1527 patients only with intermediate coronary stenosis. The examined variables were neutrophil-lymphocyte ratio (NLR), derived NLR, monocyte-lymphocyte ratio (MLR), platelet-lymphocyte ratio (PLR), systemic immune inflammation index (SII), system inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI). The primary endpoint was the composite of major adverse cardiovascular events (MACEs), including all-cause death, non-fatal myocardial infarction, and unplanned revascularization. Over a follow-up of 6.11 (5.73-6.55) years, MACEs occurred in 189 patients. Receiver operator characteristic curve analysis showed that SIRI outperformed other indices with the most significant area under the curve. In the multivariable analysis, SIRI (hazard ratio [HR] 1.588, 95% confidence interval [CI] 1.138-2.212) and AISI (HR 1.673, 95% CI 1.217-2.300) were the most important prognostic factors among all the indices. The discrimination ability of each index was strengthened in patients with less burden of modifiable cardiovascular risk factors. SIRI also exhibited the best incremental value beyond the traditional cardiovascular risk model.

Systemic immune inflammation index with all-cause and cause-specific mortality: a meta-analysis

IMPORTANCE

Studies have reported an association among systemic immune inflammation index (SII), all-cause and cause-specific mortality, but the results are inconsistent.

OBJECTIVE

To comprehensively explore the association between Systemic Immune Inflammation (SII) and the risk of all-cause mortality, cardiovascular disease (CVD), and cancer mortality.

EVIDENCE REVIEW

A meta-analysis was conducted by reviewing existing literature. The search encompassed prominent databases including PubMed, Embase, Cochrane, and the Web of Science, with the cutoff date set at March 1, 2024. Furthermore, subgroup analyses and dose-response assessments were undertaken to provide a nuanced exploration of mortality risk factors.

FINDINGS

A total of 33 articles were included (427,819 participants). In the study, SII was associated with an increased risk of all-cause mortality (HR = 1.45, 95%CI [1.36,1.54], P < 0.05). SII increased the risk of CVD mortality (HR = 1.44, 95%CI [1.29,1.60], P < 0.05). The Linear independence shows that for every 100 units increase in SII, the risk of all-cause and CVD death increases by 5% and 6%. SII was not associated with a statistically significant risk of cancer death (HR = 1.09, 95%CI [0.96,1.23], P < 0.05).

CONCLUSIONS AND RELEVANCE

Meta-analysis showed that SII was associated with all-cause mortality and CVD mortality. More data and basic research are needed to confirm the association.

Efficacy of the cardiac glycoside digoxin as an adjunct to csDMARDs in rheumatoid arthritis patients: a randomized, double-blind, placebo-controlled trial

Background

Inflammation and angiogenesis are two main mechanisms that act as mutual pathways in rheumatoid arthritis (RA). This work aimed to study the efficacy of digoxin as an adjunct therapy to conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs) in active RA patients.

Methods

In a randomized, double-blinded, placebo-controlled study, 60 adult patients with active RA received a placebo or digoxin (0.25 mg every other day) combined with csDMARDs for 6 months. The American College of Rheumatology (ACR) 20, ACR50, and ACR70 response rates and the disease activity score (DAS28) were assessed for patients. Flow cytometric analysis of Th17 cells and serum concentrations of IL-17A, IL-23, HIF-1α, and VEGF were evaluated before and after three and 6 months of therapy.

Results

Following three and 6 months of digoxin therapy combined with csDMARDs, significant differences were detected in laboratory and clinical parameters relative to the control group. After 6 months, 83.3% of patients in the digoxin group, compared to 56.7% in the control group, achieved an ACR20 response (p = 0.024). The digoxin group had a significantly higher percentage of patients who achieved DAS28 remission after 6 months (p = 0.024). Notable improvements in the Health Assessment Questionnaire Disability Index, ACR50, and ACR70 were detected in the digoxin group.

Conclusion

Digoxin was well tolerated and exerted profound immunomodulatory and anti-inflammatory effects in RA patients, and may also exhibit anti-angiogenic properties, indicating that it might be an effective adjunct to csDMARDs in treating RA.

Clinical Trial Registration

clinicaltrials.gov, identifier NCT04834557.

Association Between Systemic Immune-Inflammation Index and Adverse Outcomes in Patients With Acute Coronary Syndrome: A Meta-Analysis

The systemic immune-inflammation index (SII) has been developed for the risk prognostication of acute coronary syndrome (ACS) patients. This meta-analysis aimed to assess the value of SII for predicting adverse outcomes in ACS patients. Relevant studies were identified by searching the PubMed, Web of Science, and Embase databases. Studies that investigated the association of SII with all-cause mortality or major adverse cardiovascular events (MACEs) in ACS patients were eligible. The short-term outcomes were defined as adverse events occurring during the hospital and within 30 days. 11 studies with 16,596 patients were eligible for analysis. A random effect meta-analysis indicated that a higher SII level significantly predicted short-term death (hazard ratios [HR] 2.60; 95% confidence intervals [CI] 1.29-5.25) and long-term all-cause mortality (HR 2.40; 95% CI 1.25-4.59), even after adjusting for traditional confounding factors. Additionally, a higher SII level was also significantly associated with an increased risk of short-term MACEs (HR 1.61; 95% CI 1.28-2.03) and long-term MACEs (HR 2.43; 95% CI 1.74-3.40). These findings suggest that SII level has a strong prognostic value for both MACEs and all-cause mortality in patients with ACS. Determining the SII level has the potential to improve risk prognostication in ACS patients.

Correlations Between Acute Coronary Syndrome and Novel Inflammatory Markers (Systemic Immune-Inflammation Index, Systemic Inflammation Response Index, and Aggregate Index of Systemic Inflammation) in Patients with and without Diabetes or Prediabetes

Purpose

Type 2 diabetes mellitus (DM) is a recognized independent risk factor for both chronic coronary syndrome (CCS) and its complication, acute coronary syndrome (ACS). Patients with DM and prediabetes (preDM) face an increased ACS risk. Inflammation plays a significant role in the pathogenesis of both CCS and ACS. This study delves into novel inflammatory markers, such as the systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI, also known as SIIRI or PIV), to explore their relationship with ACS and CCS in patients that have been or have not been diagnosed with DM or preDM.

Patients and Methods

This study included data of 493 patients with chest pain undergoing coronary angiography. They were categorized into four groups: 1) without DM/preDM and with CCS; 2) with both DM/preDM and CCS; 3) without DM/preDM and with ACS, 4) with both DM/preDM and ACS. Standard methods of statistical analysis were used to reveal possible differences between groups and to find the most influential ACS risk factors in groups with DM/preDM and without DM/preDM.

Results

The analysis showed no significant differences in SII, SIRI, or AISI between the respective patient groups. A logistic regression analysis generated a model incorporating SII, high-density lipoprotein, and low-density lipoprotein levels as the influential ACS risk factors for patients with DM/preDM. The model demonstrated 71.0% accuracy, 37.0% sensitivity, and 89.4% specificity.

Conclusion

The findings suggest that the aforementioned inflammatory markers may have potential for distinguishing DM/preDM patients at higher risk of ACS at a low financial cost. However, further comprehensive and well-designed research is required to validate their clinical utility.

Systemic Immune-Inflammation Index and Systemic Inflammatory Response Index as Predictors of Mortality in ST-Elevation Myocardial Infarction

(1) Background: The systemic inflammatory response index (SIRI; neutrophil count × monocyte/lymphocyte count), and the systemic immune-inflammation index (SII; platelet count × neutrophil count/lymphocyte count) are recently proposed biomarkers to assess the immune and inflammatory status. However, data on SIRI and SII are still relatively lacking and do not definitively and exhaustively define their role as predictors of an adverse prognosis in acute myocardial infarction (AMI). The aim of the present study was to evaluate SII and SIRI determinants as well as to assess SIRI and SII prognostic power in ST-elevation myocardial infarction (STEMI). (2) Methods: A total of 105 STEMI patients (74 males, 70 ± 11 years) were studied (median follow-up 54 ± 25 months, 24 deaths). (3) Results: The main determinants of SIRI and SII were creatinine and brain natriuretic peptide (BNP) (multivariate regression). Patients with higher SIRI (>75th percentile, 4.9) and SII (>75th percentile, 1257.5) had lower survival rates than those in the low SIRI/SII group (Kaplan-Meier analysis). Univariate Cox regression revealed that high SIRI and SII were associated with mortality (HR: 2.6, 95% CI: 1.1-5.8, p < 0.05; 2.2, 1-4.9, p ≤ 0.05, respectively); however, these associations lost their significance after multivariate adjustment. (4) Conclusions: SIRI and SII association with mortality was significantly affected by confounding factors in our population, especially creatinine and BNP, which are associated with both the inflammatory indices and the outcome.

The prognostic value of dynamic changes in SII for the patients with STEMI undergoing PPCI

BACKGROUND

Predicting the prognosis of primary percutaneous coronary intervention(PPCI) in ST-segment elevation myocardial infarction (STEMI) patients in the perioperative period is of great clinical significance. The inflammatory response during the perioperative period is also an important factor. This study aimed to investigate the dynamic changes in the systemic immune inflammatory index (SII) during the perioperative period of PPCI and evaluate its predictive value for in-hospital and out-of-hospital outcomes in patients with STEMI.

METHODS

This retrospective study included 324 consecutive patients with STEMI who were admitted to the cardiac care unit. Blood samples were collected before PPCI, 12 h (T1), 24 h, 48 h after PPCI, the last time before hospital discharge (T2), and 1 month after hospital discharge. The SII was calculated as (neutrophils×platelets)/lymphocytes. Based on whether the primary endpoint occurred, we divided the patients into event and non-event groups. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors that might influence the occurrence of the primary endpoint. Dynamic curves of SII were plotted, and receiver operating characteristic (ROC) curves were drawn for each node to calculate the optimal critical value, sensitivity, and specificity to assess their predictive ability for in-hospital and out-of-hospital courses. Kaplan-Meier curves were used to analyze the differences in survival rates at different SII inflammation levels.

RESULTS

High levels of SII were individually related to the occurrence of the in-hospital period and long-term outcomes during the post-operative follow-up of STEMI patients (in-hospital SII: T1:OR 1.001,95%CI 1.001-1.001, P < 0.001; SII following hospital discharge: T1M: OR 1.008,95%CI 1.006-1.010, P < 0.001). Patients with high SII levels had lower survival rates than those with low SII levels. The analysis showed that the SII 12 h after (T1) and SII 1 month (T1M) had excellent predictive values for the occurrence of in-hospital and out-of-hospital outcomes, respectively (AUC:0.896, P < 0.001; AUC:0.892, P < 0.001).

CONCLUSION

There is a significant relationship between the dynamic status of SII and prognosis in patients with STEMI. This study found that the 12 h and SII 1 month affected in-hospital and out-of-hospital outcomes, respectively. Consequently, we focused on the dynamic changes in the SII.

Systemic Immune-Inflammation and Systemic Inflammation Response Indices are Predictive Markers of Mortality in Inpatients Internal Medicine Services

Purpose

Internal medicine services serve the patient population with many chronic diseases. Therefore, it is high mortality rates compared to other departments of the hospital. Estimating the prognostic risk of hospitalized patients may be useful in mortality for patients. İn this study, we evaluated the level of Systemic Immune Inflammation Index (SII) and Systemic Inflammation Response Index (SIRI) and its association with mortality in inpatients.

Patients and methods

This study was performed in 2218 patients who were hospitalized between January 1st-December 31th of 2019. Patients were followed up for three years about primary endpoint as all-cause (except for unnatural deaths) mortality. Participants were divided into 4 equal groups according to their increasing levels of SII and SIRI. (Quartile 1-4) Age, gender, diabetes mellitus, hypertension, coronary artery disease, chronic kidney disease, malignancies (solid), white blood cell, neutrophil, lymphocyte, monocytes, hemoglobin, hematocrit, platelet, CRP, albumin, Systemic Inflammation Response Index (Quartile 1-4), Systemic Immune Inflammation Index (Quartile 1-4) were compared between survival and non-survival groups.

Results

There were 1153 female and 1065 male participants enrolled. Compared with surviving patients, patients who died were older and had a higher prevalence of diabetes mellitus, hypertension, malignancy, chronic kidney disease and coronary artery disease (p < 0.001). There was a lower proportion of female patients among the patients who died. Compared to the survivor group, group who died exhibited a significant increase in CRP level, neutrophil, white blood cell and monocyte counts, but had a lower lymphocyte count, albumin level and hemoglobin count (P < 0.001). Results of Cox regression analysis showed that age, chronic kidney disease, malignancy, SIRI quartile 3, 4 and SII quartile 3, 4 pointed out a close relationship with mortality risk. (P < 0.001).

Conclusion

The SIRI and SII have indicated the clinical importance of as novel markers for predicting mortality in inpatients.

Prognostic Value of Systemic Immune-Inflammation Index and NT-proBNP in Patients with Acute ST-Elevation Myocardial Infarction

Objective

Our aim was to assess systemic immune-inflammation index (SII) and NT-proBNP value either in singly or in combination to predict acute ST-elevation myocardial infarction (STEMI) patient prognosis.

Methods

Analyzed retrospectively the clinical features and laboratory data of STEMI confirmed patients in our hospital from January to December 2020. The levels of SII and NT-proBNP were detected. The Kaplan-Meier approach and Spearman's rank correlation coefficient were used to construct the overall major adverse cardiac event (MACE) curve. Multivariate Cox regression analysis was applied to detect MACE predictors. In addition, the Delong test and receiver operating characteristic (ROC) curve analyzed each factor performance on its own and composite multivariate index to predict MACEs.

Results

The MACE group showed statistically significant differences in SII, NT- proBNP in comparison to the non-MACE group (P=0.003, P <0.001). Based on Kaplan-Meier analysis, SII and NT-proBNP showed positive correlation with MACE (log-rank P < 0.001). SII and NT-proBNP were independent predicting factors for long-term MACEs in multivariate Cox regression analysis (P <0.001, HR: 2.952, 95% CI 1.565-5.566; P <0.001, HR: 2.112, 95% CI 1.662-2.683). SII and NT-proBNP exhibited a positive correlation (R = 0.187, P < 0.001) in correlation analysis. According to the ROC statistical analysis, the combination exhibited 78.0% sensitivity and 88.0% specificity in the prediction of MACE. According to the results of the AUC and Delong test, the combined SII and NT-proBNP performed better as a prognostic index than each of the individual factor indexes separately (Z = 2.622, P = 0.009; Z = 3.173, P < 0.001).

Conclusion

SII and NT-proBNP were independent indicators of clinical prognosis in acute STEMI patients, and they correlated positively. These factors could be combined to improve clinical prognosis.

Increased Serum Systemic Immune-Inflammation Index is Independently Associated With Severity of Carotid Artery Stenosis

Stroke is a significant contributor to morbidity and mortality. The present study investigated how the systemic immune inflammation index (SII) could be used to predict the likelihood of developing carotid artery stenosis (CAS), which can be seen using carotid artery angiography (CAAG). This study comprised 418 individuals who underwent CAAG for CAS. SII was calculated by multiplying the platelet count by the neutrophil/lymphocyte ratio (NLR). The patients were divided into two groups: non-critical and critical CAS (stenosis below %70 and above ≥70%, respectively). Compared with the non-critical CAS, the critical CAS group had greater high sensitivity C-reactive protein levels (4.5 [3.1-5.7] vs 3.9 [2-5] [mg/L], P < .001), NLR (4.1 [2.9-7.5] vs 2.9 [1.8-3.7], P < .001), platelet/lymphocyte ratio (233 [110-297] vs 119 [96-197], P < .001), and SII (860 [608-2455] vs 604 [458-740], P < .001). Receiver Operating Characteristic Curve analysis demonstrated the best cutoff value of 672.3 for SII to predict the critical CAS with 71.2% sensitivity and 60.1% specificity. According to our study, an increase in SII is an independent predictor of the severity of CAS in patients undergoing CAAG.

Serum copper concentration reflect inflammatory activation in the complex coronary artery disease - A pilot study

INTRODUCTION

Coronary artery disease possess inflammatory background related to enzymatic processes with trace elements involvements as co-factors. The aim of the study was to compare serum, urine and salivary copper, magnesium, calcium and zinc levels with inflammatory indices obtained from the whole blood count in patients with complex coronary artery disease.

MATERIAL AND METHOD

Fifty-two (42(81 %) males, 10 (19 %) females) consecutive patients (mean (SD) age 68 (9) years with symptomatic complex coronary artery disease were enrolled into prospective single center study in 2021. Serum, saliva and urine samples were collected at the day of admission for trace elements concentration (copper, zinc, magnesium, calcium) and compared with inflammatory indexes obtained from preoperative and perioperative period.

RESULTS

Multivariable regression analysis revealed relation between the copper serum concentration and neutrophil to lymphocyte ratio (NLR) and systemic inflammatory index (SII).

CONCLUSION

Serum copper concentration interplay with preoperative inflammatory activation in complex coronary disease measured by NLR and SII. The copper serum concentration possesses the strongest relation to preoperative inflammatory activation in patients reffered for off-pump coronary artery bypass grafting.

Relevance of pre-existing anaemia for patients admitted for acute coronary syndrome to an intensive care unit: a retrospective cohort analysis of 7418 patients

Aims

Patients with acute coronary syndrome (ACS) frequently suffer from anaemia, but its role in patients admitted to an intensive care unit (ICU) is unclear. This analysis evaluates the prognostic relevance of different degrees of anaemia and their specific impact on disease severity and the outcome in critically ill ACS patients.

Methods and results

and results The multi-centre electronic Intensive Care Unit Collaborative Research Database was used, and all patients admitted with ACS were included in a retrospective analysis. Anaemia and its degrees were defined according to the criteria by the World Health Organization. A multi-level logistic regression analysis was used to fit three sequential regression models for the binary primary outcome of hospital mortality. A total of 7418 patients were included; 3437 patients (46%) had anaemia on admission. Patients with anaemia were significantly older [61 (53–70) vs. 70 (61–78) years, P < 0.001], more often female (P < 0.001), and required an increased rate of vasopressor use (P < 0.001) and mechanical ventilation (P < 0.001). With the higher Sequential organ failure assessment score (1 vs. 2; P < 0.001) and Acute Physiology And Chronic Health Evaluation (35 vs. 47; P < 0.001) scores, a higher degree of anaemia was associated with prolonged ICU stay (2 vs. 5 days, P < 0.001). Even patients with mild anaemia needed significantly from more intensive treatment and suffered worse outcome. Intensive care unit and hospital mortality were inversely associated with haemoglobin levels.

Conclusion

Nearly half of critically ill patients with ACS suffer from anaemia, which is associated with increased illness severity, complex ICU procedures, and mortality—even in mild anaemia. Haemoglobin on admission is an independent factor for adverse outcome.

Systemic immune-inflammation index predicted short-term outcomes in ATAD patients undergoing surgery

OBJECTIVE

Systemic immune-inflammation index (SII) is a biomarker that reflect systemic inflammation. We aimed to assess the value of SII in prediction of short-term outcomes in acute type A aortic dissection (ATAD) patients undergoing surgery.

METHOD

All patients underwent surgery for ATAD at our institution from 2018 to 2020 (n = 324) were retrospectively reviewed and divided into low SII (<1582.6 × 10⁹ /L) and high SII (≥1582.6 × 10⁹ /L) group according to optimal cut-off values defined by receiver operating characteristic curve. Cox regression and Kaplan-Meier analyses were performed to illustrate the correlation between SII and postoperative short-outcomes, including 30-day mortality and main complications after surgery.

RESULTS

In total, 48 (14.8%) patients died in 30 days after ATAD surgery. And multivariable Cox analysis demonstrated that high preoperative SII was closely related with 30-day mortality (hazard ratio: 3.532, 95% confidence interval: 1.719-7.255, p = .001). Furthermore, Kaplan-Meier analysis illustrated that the short-term mortality rate increased significantly in high SII group (p < .001). In addition, the incidence of main postoperative complications including major adverse cardiovascular events (p = .001) and multiorgan failure (p = .002) were higher in high SII group. However, the length of intensive unit stay (p = .909) and hospital stay (p = .836) presented no difference in two groups.

CONCLUSION

The study indicated that SII was an available biomarker to predict postoperative short-term prognosis, but not length of stay in intensive care unit and hospital in ATAD patients. And SII may be applied to risk stratification and patient selection in ATAD patients before surgery.

Evaluating systemic immune-inflammation index in patients with implantable cardioverter defibrillator for heart failure with reduced ejection fraction

BACKGROUND

Pro-inflammatory pathways play an important role in the follow-ups of patients with intracardiac defibrillators (ICDs) for heart failure (HF) reduced with ejection fraction (HFrEF). A newly defined index - the systemic immune-inflammation index (SII)-has recently been reported to have prognostic value in patients with cardiovascular disease. This study's aim is to evaluate the SII value regarding its association with long-term mortality and appropriate ICD therapy during a 10-year follow-up.

METHODS

This retrospective study included 1011 patients with ICD for HFrEF. The SII was calculated as the neutrophil-to-lymphocyte ratio × total platelet count in the peripheral blood. The study population was divided into two groups according to the SII's optimal cut-off value to predict long-term mortality. The long-term prognostic impact of SII on these patients was evaluated regarding mortality and appropriate ICD therapy.

RESULTS

The patients with a higher SII (≥1119) had significantly higher long-term mortality and appropriate ICD therapy rates. After adjustment for all confounding factors, the long-term mortality rate was 5.1 for a higher SII. (95% CI: 2.9-8.1). The long-term appropriate ICD therapy rate was 2.0 for a higher SII (95% CI: 1.4-3.0).

CONCLUSION

SII may be an independent predictive marker for both long-term mortality and appropriate ICD therapy in patients with HFrEF.

Acute Inflammation in Cerebrovascular Disease: A Critical Reappraisal with Focus on Human Studies

Recent attention has been focused on the field of inflammatory biomarkers associated with vascular disorders, regarding diagnosis, prognosis, and possible therapeutical targets. In this study, we aimed to perform a comprehensive review of the literature regarding the use of inflammatory biomarkers in stroke patients. We searched studies that evaluated inflammation biomarkers associated with Cerebrovascular Disease (CVD), namely, ischemic Stroke (IS), Intracerebral Hemorrhage (ICH) and Cerebral Venous Thrombosis (CVT). As of today, neutrophil–lymphocyte ratio (NLR) seems the be the most widely studied and accepted biomarker for cerebrovascular disease due to its easy access and availability. Although demonstrated as a prognostic risk factor, in IS, ICH and CVT, its diagnostic role is still under investigation. Several other prognostic factors could be used or even combined together into a diagnostic or prognostic index. Multiple inflammatory biomarkers appear to be involved in IS, ICH, and CVT. Blood inflammatory cells, easily measured and accessible at admission may provide information regarding accurate diagnosis and prognosis. Although not yet a reality, increasing evidence exists to suggest that these may become potential therapeutic targets, likely influencing or mitigating complications of CVD and improving prognosis. Nevertheless, further larger, well-designed randomized clinical trials are still needed to follow up this hypothesis.