Prognostic Value of Systemic Immune-Inflammation Index for Major Adverse Cardiac Events and Mortality in Severe Aortic Stenosis Patients after TAVI

Inflammatory indexes in emergency patients with hypertensive pulmonary Oedema: A critical insight

BACKGROUND

Heart failure (HF) is a prevalent and severe condition with high hospitalization and mortality rates, especially in developing countries. Inflammation plays a crucial role in its aetiology. Hypertensive pulmonary oedema, a severe form of acute decompensated heart failure (ADHF), lacks a definitive scoring system for predicting hospital admission outcomes. This study aims to evaluate the prognostic value of systemic inflammatory indexes (SII), systemic inflammation response index (SIRI), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and multi-inflammatory indexes (MII-1, MII-2, MII-3) in patients with hypertensive pulmonary oedema.

MATERIALS AND METHODS

We conducted a retrospective observational study at Izmir Atatürk Training and Research Hospital from March 1, 2023, to March 1, 2024. We included 150 patients aged ≥18 with hypertensive pulmonary oedema, excluding those with incomplete data or conditions affecting inflammation. Various inflammatory indices were calculated from blood parameters. We used ROC curve analysis to analyse their correlation with hospital outcomes, including discharge and mortality.

RESULTS

Among the 150 patients (mean age 70.14 ± 11.47 years), 25 (16.7 %) experienced in-hospital mortality. Significant differences between discharged and deceased patients were found in systolic blood pressure, neutrophil count, and inflammatory indices. ROC curve analysis showed NLR, SIRI, MII-1, MII-2, and MII-3 as significant predictors of in-hospital mortality, with MII-1 having the highest AUC (0.697) and sensitivity (60.00 %).

CONCLUSION

SIRI, NLR, MII-1, MII-2, and MII-3 may help predict in-hospital mortality in hypertensive pulmonary oedema. Further research is needed to validate these markers and explore their utility in clinical practice.

The systemic immune-inflammation index is an independent predictive factor in predicting major amputation in chronic limb-threatening ischemia

BackgroundLower extremity peripheral arterial disease (LEAD) is characterized by the narrowing and occlusion of arteries in the lower extremities. The most severe form of LEAD is chronic limb-threatening ischemia (CLTI), which carries a poorer prognosis for major amputation. The systemic immune-inflammation index (SII) is an index developed to simultaneously reflect the inflammatory and immunothrombosis status of patients, based on platelet counts and the neutrophil-to-lymphocyte ratio.ObjectiveOur study aimed to investigate the relationship between elevated SII and major limb amputation.MethodThe study included 140 patients with foot wounds (Rutherford 5 or 6) due to LEAD who were scheduled for endovascular intervention between 2018 and 2023. Major amputation was required in 27 patients (19.2%). The neutrophil-to-lymphocyte ratio (2.1/2.8/3.8 vs 3.8/6.6/9.3, p < .001), platelet-to-lymphocyte ratio (103.8/128.8/162.9 vs 132.8/212.3/314.6, p < .001), and SII (527/720/1055.5 vs 1108/1951/3807, p < .001) were higher in the major amputation group. ROC curve analysis determined that the optimal cut-off value for SII to predict major amputation in LEAD patients was 1018, with a sensitivity and specificity of 81% and 73%, respectively (AUC: 0.84, 95% CI: 0.74-0.92, p < .001). Logistic regression analysis showed that high SII (OR = 1.001, 95% CI = 1-1.001, p = .009) was identified as an independent predictor of major amputation in LEAD patients.ConclusionThis study establishes that a high SII value is associated with major amputation in LEAD patients with foot wounds.ResultSII is a valuable and straightforward parameter for predicting major amputation risk and guiding treatment decisions in LEAD patients.

Modification, validation and comparison of Naples prognostic score to determine in-hospital mortality in ST-segment elevation myocardial infarction

AIM

The relationship between inflammatory status and poor outcomes in acute coronary syndromes is a significant area of current research. This study investigates the association between in-hospital mortality and the modified Naples prognostic score (mNPS) as well as other inflammatory biomarkers in STEMI patients.

METHODS

This single-centre, cross-sectional study included 2576 consecutive STEMI patients who underwent primary percutaneous coronary intervention between January 2022 and November 2023. Participants were randomly divided into derivation and validation cohorts in a 6:4 ratio. The following inflammatory indices were calculated: pan-immune-inflammation value (PIV), systemic immune-inflammation-index (SII), systemic inflammation-response index (SIRI) and conventional NPS. The mNPS was derived by integrating hs-CRP into the conventional NPS. The performance of these indices in determining in-hospital mortality was assessed using regression, calibration, discrimination, reclassification and decision curve analyses.

RESULTS

Inflammatory biomarkers, including PIV, SII, SIRI, NPS and mNPS, were significantly higher in patients who died during in-hospital follow-up compared to those discharged alive in both the derivation and validation cohorts. Multivariable logistic regression analyses were performed separately for the derivation and validation cohorts. In the derivation cohort, mNPS was associated with in-hospital mortality (aOR = 1.490, p < .001). Similarly, in the validation cohort, mNPS was associated with in-hospital mortality (aOR = 2.023, p < .001). mNPS demonstrated better discriminative and reclassification power than other inflammatory markers (p < .05 for all). Additionally, regression models incorporating mNPS were well-calibrated and showed net clinical benefit in both cohorts.

CONCLUSION

mNPS may be a stronger predictor of in-hospital mortality in STEMI patients compared to the conventional scheme and other inflammatory indices.

Evaluating the prognostic value of systemic immune-inflammatory index in patients with acute decompensated heart failure

AIMS

The value of the systemic immune-inflammatory index (SII) in assessing adverse outcomes in various cardiovascular diseases has been extensively discussed. This study aims to evaluate the predictive value and risk stratification ability of SII for 30 day mortality in patients with acute decompensated heart failure (ADHF).

METHODS

This analysis included 1452 patients hospitalized for ADHF, all the participants being part of the China Jiangxi-acute decompensated heart failure1 project. The risk stratification capability of the SII in patients with ADHF, as well as its correlation with the 30 day mortality risk among ADHF patients, was evaluated utilizing Kaplan-Meier survival analysis and multivariable Cox regression models. A restricted cubic spline was employed to model the dose-response relationship between the two, and the receiver operating characteristic curve was utilized to assess the predictive ability of SII for 30 day mortality.

RESULTS

The Kaplan-Meier analysis revealed that the risk of mortality in the high SII group (SII ≥ 980 × 109/L) was significantly greater than that in the low SII group (SII < 980 × 109/L, log-rank P < 0.001). After adjusting for various confounding factors, a higher SII was associated with an increased risk of 30 day mortality in ADHF patients [hazard ratio (HR) = 2.03, 95% confidence interval (CI): 1.34-3.08]. Further restricted cubic spline analysis revealed a non-linear dose-response relationship between the two (P for non-linear = 0.006). Receiver operating characteristic analysis demonstrated that SII had a high accuracy in predicting 30 day mortality events in ADHF patients (AUC = 0.7479), and the optimal predictive threshold was calculated to be 980 × 109/L, a sensitivity of 0.7547 and a specificity of 0.7234.

CONCLUSIONS

This study found a significant positive association between SII and 30 day all-cause mortality in ADHF patients. We determined the SII cut-off point for predicting 30 day all-cause mortality in patients with ADHF to be 980 × 109/L.

The effect of the systemic immune-inflammatory index on the no-reflow phenomenon in patients undergoing saphenous vein intervention

Introduction

The systemic immune inflammation index (SII), based on lymphocyte, neutrophil, and platelet counts, has been shown to be an independent indicator of no-reflow phenomenon during percutaneous intervention. However, the relationship between SII and no-reflow phenomenon (NRP) that develops after the procedure of saphenous vein grafts is unknown.

Aim

In this study, we aimed to investigate the relationship between no-reflow phenomenon and SII during percutaneous intervention on saphenous vein grafts.

Material and methods

A total of 133 patients who underwent percutaneous intervention for saphenous vein grafts due to acute coronary syndrome between 2019 and 2022 were included in this study. The receiver-operating characteristics (ROC) curve was used to determine the cut-off value of SII to predict the no-reflow. The multivariate regression was used to analyse the correlation between no-reflow and SII.

Results

The median value of SII was significantly higher in patients with no-reflow in comparison with normal reperfusion (543 (447, 717) vs. 861 (642, 1272), p < 0.001). The optimal threshold for SII in predicting the no-reflow phenomenon was 613, with sensitivity and specificity of 84% and 66%, respectively. The area under the ROC curve (AUC) was 0.80 (95% CI: 0.73-0.89, p < 0.001). In multivariate analysis, SII ≥ 613 showed an independent predictive value for the no-reflow (OR = 4.02, 95% CI: 1.40-11.57, p < 0.001).

Conclusions

Our results showed that high SII levels were independently associated with the development of no-reflow phenomenon in patients presenting with acute coronary syndrome and undergoing percutaneous intervention to the SVG.

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.

C-reactive protein to albumin ratio may predict in-hospital mortality in non-ST elevation myocardial infarction

Objective: The authors investigated the value of novel inflammatory markers, systemic immune-inflammation index and C-reactive protein to albumin ratio (CAR), to predict in-hospital mortality in patients with non-ST elevation myocardial infarction (NSTEMI). Materials & methods: A total of 308 patients who underwent percutaneous coronary intervention because of NSTEMI were retrospectively included in the study. Killip classification, Thrombolysis in Myocardial Infarction score, SYNTAX score, and CAR and systemic immune-inflammation index values were calculated. Results: CAR (cutoff: 0.0864; sensitivity: 94.1%; specificity: 40.5%; p = 0.008) and Killip classification (cutoff: 2.5; sensitivity: 64.7%; specificity: 8.9%; p = 0.001) were found to be significantly higher in determining in-hospital mortality. Conclusion: This study revealed that CAR is an inexpensive and significant factor in predicting in-hospital mortality in patients undergoing percutaneous coronary intervention for NSTEMI.

Prognostic Value of Systemic Immune-Inflammation Index in Predicting Premature Saphenous Vein Graft Disease in Patients With Coronary Artery Bypass Grafting

BACKGROUND

Systemic inflammation is a risk factor for premature coronary artery disease (CAD), and systemic immune-inflammation index (SII), a new marker of systemic inflammation, is linked to the severity and prognosis of CAD. However, the prognosis of the SII in bypass patients' venous saphenous grafts has not been adequately evaluated. This study aimed to evaluate the prognostic value of SII in predicting premature saphenous vein graft disease (SVGD) in patients who underwent bypass surgery with venous saphenous grafts.

METHODS

We retrospectively included 422 patients who had saphenous vein grafts (SVG) at least one year after bypass surgery. Of these, 222 patients had SVGD, and 200 had patent SVG.

RESULTS

SII was higher in the SVGD group than in the control group (631.55 ± 397.84, 421.71 ± 351.07, P=0.001). A receiver operating characteristic (ROC) analysis was performed to identify the optimal cutoff point with the highest sensitivity and specificity. The optimal cutoff point for SII was defined as 430. Using a cutoff level of >430, SII predicted SVGD with a sensitivity of 73% and specificity of 56%.

CONCLUSION

Our study demonstrated that SII was substantially higher in patients with SVGD than in those with patent SVG. SII predicted SVGD in bypass surgery patients. SII may be a helpful parameter for identifying patients at high risk of SVGD and guiding preventive treatments.

Systemic Immune-Inflammation Index Predicts Prolonged Mechanical Ventilation and Intensive Care Unit Stay After off-Pump Coronary Artery Bypass Graft Surgery: A Single-Center Retrospective Study

Purpose

Coronary artery disease (CAD) is the primary cause of mortality in developing countries. Off-pump coronary artery bypass grafting (OPCAB) offers more upside in revascularization by preventing cardiopulmonary bypass trauma and minimizing aortic manipulation. Even though cardiopulmonary bypass is not involved, OPCAB still causes a significant systemic inflammatory response. This study determines the prognostic values of the systemic immune-inflammation index (SII) towards perioperative outcomes in patients who underwent OPCAB surgery.

Patients and methods

This was a single-center retrospective study at the National Cardiovascular Center Harapan Kita, Jakarta, using secondary data from electronic medical records and medical record archives of all patients who underwent OPCAB from January 2019 through December 2021. A total of 418 medical records were obtained, and 47 patients were excluded based on the exclusion criteria. The values of SII were calculated from preoperative laboratory data of segmental neutrophil count, lymphocyte count, and platelet count. Patients were divided into two groups based on the SII cutoff value of 878.056 x 10³/mm³.

Results

The baseline SII values of 371 patients were calculated, among which 63 (17%) patients had preoperative SII values of ≥878.057 x 10³/mm³. High SII values were a significant predictor of prolonged ventilation (RR 1.141, 95% CI 1.001-1.301) and prolonged ICU stay (RR 1.218, 95% CI 1.021-1.452) after OPCAB surgery. A positive correlation was observed between SII and hospital length of stay after OPCAB surgery. From the receiver operating characteristic curve analysis, SII predicted prolonged ventilation duration, with an area under the curve of 0.658 (95% CI 0.575-0.741, p = 0.001).

Conclusion

High preoperative SII values are capable of predicting prolonged mechanical ventilation and intensive care unit stay after OPCAB surgery.

The Role of «Novel» Biomarkers of Systemic Inflammation in the Development of Early Hospital Events after Aortic Valve Replacement in Patients with Aortic Stenosis

INTRODUCTION

The pathogenesis of aortic stenosis includes the processes of chronic inflammation, calcification, lipid metabolism disorders, and congenital structural changes. The goal of our study was to determine the predictive value of novel biomarkers of systemic inflammation and some hematological indices based on the numbers of leukocytes and their subtypes in the development of early hospital medical conditions after mechanical aortic valve replacement in patients with aortic stenosis.

MATERIALS AND METHODS

This was a cohort study involving 363 patients who underwent surgical intervention for aortic valve pathology between 2014 and 2020. The following markers of systemic inflammation and hematological indices were studied: SIRI (Systemic Inflammation Response Index), SII (Systemic Inflammation Index), AISI (Aggregate Index of Systemic Inflammation), NLR (Neutrophil/Lymphocyte Ratio), PLR (Platelet/Lymphocyte Ratio), and MLR (Monocyte/Lymphocyte Ratio). Associations of the levels of these biomarkers and indices with the development of in-hospital death, acute kidney injury, postoperative atrial fibrillation, stroke/acute cerebrovascular accident, and bleeding were calculated.

RESULTS

According to an ROC analysis, an SIRI > 1.5 (p < 0.001), an SII > 718 (p = 0.002), an AISI > 593 (p < 0.001), an NLR > 2.48 (p < 0.001), a PLR > 132 (p = 0.004), and an MLR > 0.332 (p < 0.001) were statistically significantly associated with in-hospital death. Additionally, an SIRI > 1.5 (p < 0.001), an NLR > 2.8 (p < 0.001), and an MLR > 0.392 (p < 0.001) were associated with bleeding in the postoperative period. In a univariate logistic regression, SIRI, SII, AISI, and NLR were statistically significant independent factors associated with in-hospital death. In a multivariate logistic regression model, SIRI was the most powerful marker of systemic inflammation.

CONCLUSION

SIRI, SII, AISI, and NLR as novel biomarkers of systemic inflammation were associated with in-hospital mortality. Of all markers and indices of systemic inflammation in our study, SIRI was the strongest predictor of a poor outcome in the multivariate regression model.

Relationship Between Systemic Inflammation Index and No-Reflow Phenomenon in Patients With ST-Segment Elevation Myocardial Infarction

This study aimed to evaluate the relationship between no-reflow phenomenon and systemic inflammation index (SII) and to compare the predictive capacity of SII together with the neutrophil-lymphocyte ratio (NLR), and the platelet-lymphocyte ratio (PLR) in patients with ST-elevation myocardial infarction (STEMI). A total of 785 patients were included. The thrombolysis in myocardial infarction (TIMI) flow degree has been used to describe the no-reflow phenomenon. The study population was divided into two groups regarding the presence of no-reflow phenomenon including 110 patients with no-reflow (TIMI frame count 0-2) and 675 patients without no-reflow (TIMI frame count 3). The NLR [6.6 (4.6-11.6) vs 3.2 (2.0-5.3); P < .001], PLR [175 (121.3-220) vs 102.6 (76.1-150.1); P < .001] and SII [1921(1225-2906) vs 738.5 (450.5-1293); P < .001] were significantly higher in the no-reflow group. High NLR (OR: 1.078, 95%CI: 1.027-1.397; P = .021), PLR (OR: 1.009, 95%CI: 1.003-1.021; P = .041) and SII (OR: 1.216, 95%CI: 1.106-1.942; P = .004) were found to be independently associated with no-reflow phenomenon. The comparison of the receiver-operating characteristic curves showed that area under the curve of SII was greater than that of NLR (.789 vs .766, P = .007) and PLR (.789 vs .759, P = .048). SII levels may predict no-reflow phenomenon better than NLR and PLR.

Systemic Immune-Inflammation Index as a Predictor of Left Atrial Thrombosis in Nonvalvular Atrial Fibrillation

Background

The systemic immune-inflammation index (SII) has recently been investigated for cardiovascular diseases. We aimed to evaluate the relationship between SII and left atrial thrombosis (LAT).

Methods

This retrospective, case-control study recruited patients with nonvalvular atrial fibrillation (NVAF) who underwent transesophageal echocardiography (TEE) for LAT detection before cardioversion or catheter ablation at a tertiary hospital between 2012 and 2021. Demographic characteristics were obtained from the hospital data system. According to TEE findings, the patients were categorized into LAT (+) and (-) groups. Age, gender, history of chronic diseases, urea, creatinine, albumin, hemogram parameters, the neutrophil-lymphocyte ratio (NLR), the platelet-lymphocyte ratio (PLR), SII, the CHADS2 score, the CHA2DS2-VASc score, echocardiographic parameters, antiaggregant-anticoagulant use, and nonparoxysmal atrial fibrillation were included and analyzed.

Results

The study population consisted of 403 patients, including 228 men (56.6%), at a mean age of 60.84±12.26 years. A high white blood cell count (WBC) (OR, 1.26; 95% CI, 1.05 to 1.51; P=0.013), a high SII (OR, 1.00, 95% CI, 1.00 to 1.00; P=0.003), and a low ejection fraction (OR, 0.95; 95% CI, 0.90 to 0.99; P=0.018) were independent predictors of LAT (+). A spontaneous echo contrast (OR, 2.43; 95% CI, 1.35 to 4.39; P=0.003) was associated with LAT (+). SII values above 693.6 predicted LAT (+) with 71.6% sensitivity and 71.7% specificity (AUC, 0.77; P<0.001). The predictiveness of SII was similar to that of NLR (0.77 vs 0.74, P=0.093) but higher than PLR (0.77 vs 0.67; P<0.001) and WBC (0.77 vs 0.69; P=0.031).

Conclusion

SII is an independent predictor of LAT in patients with NVAF.

The Systemic Immune-Inflammation Index Predicts Impaired Myocardial Perfusion and Short-Term Mortality in ST-Segment Elevation Myocardial Infarction Patients

In this study, we aimed to evaluate the utility of the immune-inflammation index (SII) in estimating the no-reflow phenomenon and short-term cardiovascular prognosis in patients with ST-segment elevation myocardial infarction (STEMI). 723 consecutive patients with STEMI who underwent primary percutaneous coronary intervention (PCI) were enrolled in our study. The receiver-operating characteristics (ROC) curve was used to determine the cut-off value of SII to predict the no-reflow. The multivariate regression analysis analyzed the correlation between no-reflow and SII. The median value of SII was significantly higher in patients with no-reflow in comparison with normal reperfusion [1466 (939-2409) vs 905 (566-1379), p < .001]. The optimal threshold for SII in predicting the no-reflow phenomenon was 1036, with sensitivity and specificity of 70% and 59%, respectively. The area under the ROC curve (AUC) was 0.71 (95% CI, 0.66-0.75, p < .001). In multivariate analysis, SII ≥ 1036 value showed an independent predictive value for the no-reflow (OR = 0.51, 95% CI: 0.29-0.92, p = .02) and the 30-day cardiovascular mortality (OR = 2.37, 95% CI: 1.34-4.19, p = .003). Our results suggest that higher SII levels are independently associated with the no-reflow phenomenon and 30-day mortality in STEMI patients undergoing primary PCI.

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.

Value of the systemic immune-inflammation index in predicting poor postoperative outcomes and the short-term prognosis of heart valve diseases: a retrospective cohort study

OBJECTIVE

Systemic immune-inflammation index (SII) is a novel biomarker that can predict poor outcomes in tumours, nervous system diseases and chronic heart failure. Here, we investigated the predictive value of SII on the poor postoperative outcomes and short-term prognosis of heart valve diseases (HVDs).

DESIGN, SETTING AND PARTICIPANTS

This retrospective cohort study enrolled all consecutive patients with HVDs (aortic stenosis, aortic regurgitation, mitral stenosis and mitral regurgitation) who underwent surgery (valve replacement or valve repair) at the Affiliated Hospital of North Sichuan Medical College between 2017 and 2020.

MAIN OUTCOMES AND MEASURES

Major complications in the perioperative period, all-cause mortality within 30 days and readmission within 30 days.

RESULTS

A total of 431 patients with HVDs were enrolled in this study, including 202 males and 229 females, aged 58.9±27.3 years. SII levels of patients in the poor outcomes group were significantly higher than those of patients in the favourable outcomes group (658.40±436.29 vs 335.72±174.76, respectively; p<0.001). Multivariate logistic regression analysis showed that age (OR 1.064, 95% CI 1.026 to 1.104, p=0.025), SII (OR 1.034, 95% CI 1.012 to 1.631, p=0.008) and aortic cross-clamping time (OR 1.013, 95% CI 1.004 to 1.023, p=0.006) were independent risk factors for poor outcomes and short-term prognosis in patients with HVD. The area under the curve of poor outcomes predicted by SII in patients with HVD was 0.806 (95% CI 0.763 to 0.848) and the optimised cut-off value 423.8×10⁹ /L, with a sensitivity of 70.3% and specificity of 81.1%. The incidence of poor outcomes (p<0.001), 30-day mortality (p<0.001) and 30-day readmission rate (p=0.026) in the high SII group was significantly higher than that in the low SII group.

CONCLUSIONS

SII is closely related to poor postoperative outcomes and short-term prognosis of HVD and can serve as an independent predictive factor.

The Association between Serum Vitamin D Concentration and New Inflammatory Biomarkers-Systemic Inflammatory Index (SII) and Systemic Inflammatory Response (SIRI)-In Patients with Ischemic Heart Disease

The incidence of ischemic heart disease (IHD) increases every year. This cardiovascular disease has an inflammatory factor in its etiology due to different immune cells that influence atherogenesis. New inflammatory biomarkers—the Systemic Inflammatory Index (SII) and the Systemic Inflammatory Response (SIRI)—attempt to describe the pro- and anti-inflammatory balance and quantify the complex impact of the immune system on atherosclerosis, while vitamin D has a multidirectional impact on the human body, including the cardiovascular and immune systems. Hence, the objective of this research was to analyze the association between SII and SIRI and serum vitamin D concentrations in patients with IHD. A significant correlation was observed between SIRI and 25(OH)D in the whole group and between both biomarkers (SII and SIRI) and 25(OH)D in the group of patients with ACS but not in the group of patients with stable IHD. The role of vitamin D in IHD complications and its association with new inflammatory biomarkers requires further well-designed, large-scale research.

Investigation of the Associations of Novel Inflammatory Biomarkers-Systemic Inflammatory Index (SII) and Systemic Inflammatory Response Index (SIRI)-With the Severity of Coronary Artery Disease and Acute Coronary Syndrome Occurrence

Atherosclerosis, the underlying cause of coronary artery disease (CAD), has a significant inflammatory component. White blood cell count is an affordable and accessible way to assess the systemic immune response, as it comprises many subgroups with distinct and complex functions. Considering their multidirectional effect on atherosclerosis, new biomarkers integrating various leukocyte subgroups, the Systemic Inflammatory Index (SII) and the Systemic Inflammatory Response Index (SIRI), were recently devised to describe the balance between inflammation and immune reaction. This research aimed to evaluate the relationship of the intensity of inflammation measured by these biomarkers with the severity of CAD assessed with coronary angiography and with the diagnosis of acute coronary syndrome (ACS) or stable CAD in 699 patients. SIRI, but not SII, was associated with the diagnosis, having the highest values for patients with ACS (STEMI), significantly higher than in patients with stable CAD (p < 0.01). The highest SII and SIRI values were observed in patients with three-vessel CAD. SII and SIRI require further in-depth and well-designed research to evaluate their potential in a clinical setting.

Does systemic immune-inflammation index predict the short outcomes after an acute type A aortic dissection repair? Promising biomarker for acute aortic syndrome

The retrospectively presented by Xu et al. assessed the value of the systemic immune-inflammation index (SII) in the prediction of short-term outcomes in patients undergoing surgery for acute type A aortic dissection (ATAAD). The authors concluded that SII is a reliable biomarker that can predict postoperative short-term outcomes and this marker could be potentially applied to stratification and patient selection with ATAAD. Although the study is retrospective, it is well-matched and conducted in a large volume center and the surgical technique was standard for all procedures. In addition, there was no statistical difference in cardiopulmonary bypass, aortic cross-clamp and deep hypothermic time, comorbidities, blood and blood products transfusion between the study groups. In addition, 90.7% of patients underwent elephant trunk technique for ATAAD repair, while the 30-day mortality and postoperative temporary and permanent neurological dysfunctions were 14.8% and 11.1%, respectively. Randomized controlled and prospective studies are warranted to clarify these well-documented results to apply this useful biomarker in clinical practice for patients with the acute aortic syndrome.

Evaluating the systemic immune-inflammation index for in-hospital and long-term mortality in elderly non-ST-elevation myocardial infarction patients

INTRODUCTION

This investigation aimed to evaluate the predictive value of the systemic immune-inflammation index (SII) for in-hospital and long-term mortality in elderly patients with non-ST-elevation myocardial infarction (NSTEMI).

METHODS

This retrospective investigation included 314 consecutive elderly NSTEMI patients in a tertiary center. SII is computed as (neutrophils × platelets)/lymphocytes. Based on the increased SII values, we classified the research sample into three tertile groups as T1, T2, and T3. The in-hospital and long-term mortality were defined as the primary outcomes.

RESULTS

Patients in the T3 group had lower chances of survival in the in-hospital and long-term periods compared with those in the T2 and T1 groups. According to the multivariable Cox regression models, SII independently related with in-hospital (hazard ratio (HR): 1.001, 95% CI: 1.000-1.1003, p = 0.038) and long-term mortality (HR: 1.004, 95% CI: 1.002-1.006, p < 0.001). To predict long-term mortality, the optimal SII value was > 2174 with 80% sensitivity and 85.4% specificity. SII had a slightly lower but statistically non-inferior discriminative ability for long-term mortality compared with the Charlson comorbidity index (CCI) in the receiver operating characteristic curve comparison (AUC: 86.2 vs. AUC: 890, p > 0.05). Additionally, combining SII with traditional risk factors and the CCI revealed a significant improvement in C-statistics.

CONCLUSION

This investigation may be the first to demonstrate that SII is independently linked with in-hospital and long-term mortality in elderly NSTEMI patients.

Association of Systemic Immune-Inflammation Index With Short-Term Mortality of Congestive Heart Failure: A Retrospective Cohort Study

Purpose: The present study aimed to clarify the potential predictive significance of Systemic immune-inflammation index (SII) in assessing the poor prognosis of critically ill patients with congestive heart failure (CHF). Methods: Detailed clinical data were extracted from the Multiparameter Intelligent Monitoring in Intensive Care III database after gaining access and building the local platform. The 30- and 90-day and hospital all-cause mortalities of the patient was the primary outcome, and the readmission rate and the occurrence of major cardiovascular adverse events (MACEs) were the secondary outcomes. the Cox proportional hazard model and Logistic regression analysis were selected to reveal the relationship between SII level and the research outcome. Further, the propensity score matching (PSM) analysis was performed to improve the reliability of results by reducing the imbalance across groups. Results: There were a total of 4,606 subjects who passed the screening process and entered the subsequent analysis. Multivariate regression analysis showed that after adjusting for possible confounders, including age, heart rate, and albumin, etc., the high level of SII was independently associated with 30- and 90-day and hospital mortalities (tertile 3 vs. tertile 1: HR, 95% CIs: 1.23, 1.04-1.45; 1.21, 1.06-1.39; 1.26, 1.05-1.50) and the incidence of MACEs (tertile 3 vs. tertile 1: OR, 95% CI: 1.39, 1.12-1.73) in critically ill patients with CHF, but no significant correlation was found between SII and the readmission rate. Consistently, patients with high SII level still presented a significantly higher short-term mortality than patients with low SII in the PSM subset. Conclusion: In critically ill patients with CHF, high level of SII could effectively predict high 30- and 90-day and hospital mortalities, as well as the high risk of occurrence of MACEs.