Value Of Systemic Immune-inflammation Index Research Articles

The Systemic Immune-Inflammation Index as an Independent Predictor of Survival in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma Undergoing Neoadjuvant Radiotherapy.

Patients with locally advanced esophageal squamous cell carcinoma (ESCC) scheduled for neoadjuvant radiotherapy still have a poor prognosis. This study was to explore the prognostic value of the pretreatment systemic immune-inflammation index (SII) in patients with locally advanced ESCC after neoadjuvant radiotherapy (NRT). Eighty-two consecutive patients with ESCC scheduled for neoadjuvant radiotherapy between 2011 and 2017 were enrolled in this study. SII values (SII = platelet × neutrophil/lymphocyte), prognostic nutritional index values (PNI = albumin concentration (g/L) + 5 × total lymphocyte count (109/L)), platelet-lymphocyte ratio (PLR), and neutrophil-lymphocyte ratio (NLR) were retrospectively collected and calculated before treatment. The Cut-off Finder application was applied to find out the cut-off points of the SII, NLR, PNI and PLR. A regression model was used to examine prognostic factors for overall survival (OS) rates. The median follow-up was 44 months (3 to 83). Sixty patients (73.17%) underwent surgery as scheduled. This study found that factors improving OS were a lower SII (≤916.6 × 109/L) (P=0.040) and neoadjuvant chemoradiotherapy (NCRT) (P=0.034). The patients with a lower SII and NCRT had a better OS (P< 0.001). Moreover, additionally, a higher SII was associated with a lower resectability rate (P=0.035). The SII can predict resectability in ESCC patients following neoadjuvant radiotherapy. Both the SII and neoadjuvant chemoradiotherapy appear to influence OS.

The significance of determining biomarkers of inflammation in chronic kidney failure

Background/Aim. Inflammation is the main cause of the onset, progression, and outcome of chronic kidney disease (CKD). The aim of the study was to examine the predictive value of inflammatory biomarkers in patients with CKD stages I?V and their association with parameters characteristic of CKD. Methods. A cross-sectional study analyzed 117 adult patients with CKD who were divided into two groups according to the glomerular filtration rate (GFR): Group 1, with normal to mild impairment of renal function (GFR ? 60 mL/min/1.73 m2), stages I and II, and Group 2 with moderate and severe impairment of renal function (GFR &lt; 60 mL/min/1.73 m2), stages III, IV, and V, who have not started dialysis treatment. In addition to standard laboratory analyses, we determined derived parameters in patients, neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and system inflammation response index (SIRI), as markers of inflammation. Results. A statistically significant difference between Groups 1 and 2 was observed for body mass index (p &lt; 0.003), for platelets, hemoglobin, creatinine, urea, acidum uricum, iron, phosphorus, parathyroid hormone, and proteinuria 24 hrs (p &lt; 0.001), for calcium (p &lt; 0.031) and leukocytes (p &lt; 0.030). By analyzing the values of NLR, PLR, SII, and SIRI in patients with CKD, a statistically significant difference (p &lt; 0.001) was observed between the groups; the values were elevated in Group 2. NLR, PLR, and SII showed statistical significance for essential parameters in CKD (C-reactive protein, creatinine, GFR, hemoglobin, calcium, phosphorus, parathyroid hormone) and SIRI showed statistical significance for phosphorus in Group 2. The most sensitive was NLR at 87.7%, and PLR had the highest specificity, at 81.7%, with cut-off values for PLR ? 151.75, NLR ? 2.06, SII ? 493.57, and SIRI ? 0.739. Conclusion. Our results indicate that the detection of biomarkers NLR, PLR, SII, and SIRI could have a significant role in predicting inflammation in patients with CKD and would contribute to the timely recognition of patients at risk of developing complications.

Age-and Gender-Specific Reference Intervals for Systemic Inflammatory Indicators in Healthy Moroccan Adults.

Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR) and the systemic immune inflammation index (SII) are effective prognostic markers of patients in various clinical situations such as cancer, cardiovascular diseases and inflammatory diseases. This study aims to explore the reference values based on gender and age for NLR, PLR, LMR and SII in the Moroccan population. From January 2018 to February 2020, data of ostensibly healthy adults were collected retrospectively from the laboratory information system (LIS) of the Laboratory for Research and Medical Analysis of the Fraternal Royal Gendarmerie, Rabat (Morocco). A total of 5,898 men and 10,172 women aged between 18 and 90 years were included. RIs of each parameter were established and validated in accordance with the Clinical and Laboratory Standards Institute (CLSI) document C28-A3. NLR was significantly different between men and women (p < 0.05), while PLR, LMR and SII were not. The values of NLR, PLR, LMR and SII differed significantly between different age groups of both genders (p < 0.05). Therefore, RI of PLR, LMR, and SII had to be divided into groups based on age, but not on gender, while establishing the NLR reference intervals took into account both factors; age and gender. This paper provides Reference Intervals for NLR, PLR, LMR, and SII according to age and gender in healthy Moroccan adults. This can improve assessment and potentially widen the use of these biomarkers in Moroccan clinical context.

Systemic Immune-Inflammation Index is a Prognostic Predictor for Patients With Acute Ischemic Stroke Treated With Intravenous Thrombolysis.

To investigate whether baseline systemic immune-inflammation index (SII) is associated with 3-month poor prognosis and early neurological outcomes in patients with acute ischemic stroke treated with intravenous thrombolysis. A total of 221 consecutive patients were enrolled in the retrospective study. The primary endpoints were poor functional outcomes or death at 3 months. Secondary endpoints were early neurological deterioration (END) or symptomatic intracerebral hemorrhage within 24 hours. Receiver operating characteristic curve analyses was performed to assess the overall discriminative ability of SII in predicting the 4 endpoints. We also performed the Spearman correlation test to evaluate the relationship between SII and stroke severity. Univariable and multivariable logistic regression analyses were performed to evaluate the associations between SII and endpoints. The cutoff values of SII were 504.99×10 9 /L for predicting a 3-month poor prognosis (sensitivity, 70.9% and specificity, 69.6%), 524.47×10 9 /L for predicting 3-month death (sensitivity, 78.9% and specificity, 59.9%) and 504.99×10 9 /L for predicting END (sensitivity, 70.7% and specificity, 62.6%), respectively. A positive association between SII and the National Institutes of Health Stroke Scale was observed ( rs = 0.306, P < 0.001). Multivariable analyses indicated that SII was independently associated with 3-month poor prognosis [odds ratio (OR) = 5.384; 95% CI: 2.844-10.193; P < 0.001], 3-month death (OR = 2.592, 95% CI: 1.046-6.421, P = 0.040) and END (OR = 3.202, 95% CI: 1.796-5.707, P < 0.001). Increased baseline SII was associated with END and 3-month poor outcomes, and may act as a potential prognostic predictor for acute ischemic stroke patients treated with intravenous thrombolysis.

Smoking increases risk of complication after musculoskeletal surgery: analysis of single immune parameter to predict complication risk.

Smoking is the most significant and modifiable risk factor for a range of conditions, including cancer, cardiovascular and respiratory diseases. Furthermore, it significantly reduces bone mass and increases the risk of fragility fractures due to its detrimental effects on bone metabolism and regeneration. Moreover, smoking is a known cause of chronic systemic inflammation, leading to an imbalance of cytokines. Comprehending the pathological mechanisms that underlie cytokine production and its impact on post-surgical healing is essential to prevent post-surgical complications. The present study recruited a total of 1144 patients, including 897 patients, among them non-smokers (N = 413), current smokers (N = 201) and ex-smokers (N = 283). Human proteome profiler arrays were used to screen for smoking-dependent differences in the serum cytokine and protein profiles, after matching samples for age, gender, body mass index (BMI), alcohol use, and diabetes risk. Cytokines and immune checkpoint proteins such as CD28, B7-1, MIG, TGFβ2 and IL-1α/β were quantified by ELISA. Our study demonstrates a comprehensive understanding of the relationship between smoking, the development of complications, the systemic immune inflammation index (SII) and cytokine/protein levels. We found that a comparison of non-smokers, former smokers, and active smokers in our study cohort did not exhibit significantly altered cytokine and protein serum levels although other studies reported differences between smokers and non-smokers. We were unable to identify single blood circulating markers that could predict complications in smokers after trauma. However, we found the ratio of women to men to be inverted between non-smokers and active smokers resulting in a ratio of 0.62 in smokers. Furthermore, we demonstrate a higher complication rate, longer hospitalizations and elevated SII values among smokers, indicating an involvement of the immune system. See also the graphical abstract(Fig. 1).

Prognostic value of the systemic immune-inflammation index in critically ill elderly patients with hip fracture: evidence from MIMIC (2008-2019).

The systemic immune-inflammation index (SII) showed an extensive link between immunological dysfunction and the activation of systemic inflammation. Several studies have confirmed the application of SII to orthopedic diseases. However, the significance of SII in critically ill elderly individuals with hip fracture who require intensive care unit (ICU) admission is not yet known. This study centered on exploring the relationship between SII and clinical outcomes among critically ill elderly hip fracture individuals. The study centered around elderly patients experiencing severe illness following hip fractures and requiring admission to the ICU. These patients from the MIMIC-IV database formed the basis of this study's cohort. We stratified them into quartiles according to their SII levels. The results involved the mortality at 30 days and 1 year post-admission. Then we employ Cox proportional hazards regression analysis as well as restricted cubic splines to explore the association between the SII and clinical results in critically ill elderly patients with hip fracture. The study encompassed 991 participants, among whom 63.98% identified as females. Notably, the mortality rates attributed to any cause within 30 days and 1 year after hospitalization stood at 19.68 and 33.40%, respectively. The multivariate Cox proportional hazards model disclosed a significant correlation between an elevated SII and all-cause mortality. Following adjustments for confounding variables, individuals with a high SII showed a notable correlation with 30-day mortality [adjusted hazard ratio (HR), 1.065; 95% confidence interval (CI), 1.044-1.087; p < 0.001] and 1-year mortality (adjusted HR, 1.051; 95% CI, 1.029-1.074; p < 0.001). Furthermore, the analysis of restricted cubic splines demonstrated a progressive increase in the risk of all-cause death as the SII value rose. Among critically ill elderly patients with hip fracture, the SII exhibits a non-linear association that positively correlates with both 30-day and 1-year all-cause mortality rates. The revelation indicates that the SII may play a vital role in identifying patients with hip fractures who face an escalated risk of mortality due to any cause.

Evaluating the Diagnostic Performance of Systemic Immune-Inflammation Index in Childhood Inflammatory Arthritis: A Focus on Differentiating Juvenile Idiopathic Arthritis from Reactive Arthritis.

In pediatric care, the range of potential diagnoses for arthritis can be relatively extensive, primarily involving infectious and inflammatory causes and, to a lesser extent, oncological conditions. Specifically, when addressing inflammatory causes, differentiating between Juvenile Idiopathic Arthritis (JIA) and Reactive Arthritis (ReA) can prove to be challenging during the first weeks, owing to the lack of specific antibodies in several JIA subtypes. This single-center retrospective study of 108 children with arthritis aimed to evaluate in greater detail the complete blood count (CBC) profiles of children with JIA and ReA in greater detail. The most significant differences were noted in terms of the Systemic Immune-Inflammation Index (SII), with higher values in the JIA group. Moreover, within the JIA group, SII displayed a significant positive correlation with conventional inflammatory biomarkers, specifically C-reactive protein (ρ = 0.579) and Erythrocyte Sedimentation Rate (ρ = 0.430). It was the only independent factor associated with the presence of JIA after adjusting for age (p = 0.030). Also, even with the moderate diagnostic value, the discriminating capacity of SII was superior to those of each of its component CBC parameters according to receiver operating characteristic (ROC) analysis. In summary, this study identified elevated SII values in the JIA group compared to the ReA group, indicating the potential utility of SII as an adjuvant discriminatory marker between these two arthritis forms.

Relationship between systemic immune inflammation index and mortality among US adults with different diabetic status: Evidence from NHANES 1999-2018

ObjectiveTo investigate the association between systemic immune inflammation index (SII) and all-cause or cardiovascular diseases (CVDs) mortality in US adults with different diabetic status based on the National Health and Nutrition Examination Survey (NHANES) database. Study design and settingAdults with follow-up data in the NHANES 1999–2018 cycles were included in this study. The SII was calculated based on blood cells counts (including neutrophils, lymphocytes, and platelets) measured in the laboratory data. According to the quartiles of SII, population were divided into four groups (Q1-Q4). Mortality data was determined by linking NHANES survey participants to the National Death Index records, which collect mortality data and determine their vital status. Cox regression models were also performed to explore the hazard ratio (HR) and the corresponding 95 % confidence interval (95 % CI) of SII related with all-cause and CVDs mortality. In addition, restricted cubic spline was used to explore the nonlinear relationship between SII and mortality. Subgroup analysis and sensitivity analysis were performed to confirm the robustness of our results. ResultsIn this study, there were 45,454 participants were enrolled (50.43 % females), with a mean age of 47.35 ± 0.19 years. Among of which, 7971 were diabetes patients and 3281 were pre-diabetes. With the mean 9.89 ± 0.08 follow-up years, there were 6935 (15.26 %) deaths occurred. Of which, 1795 deaths were caused by CVDs. The age-adjusted death rates were higher in participants with high SII levels compared to those with low SII levels. Cox regression analysis, after adjusting for covariates, revealed that SII levels were associated with an increased risk of all-cause mortality (HR, 1.02; 95 % CI, 1.02–1.03, P < 0.0001) and CVDs mortality (HR, 1.05; 95 % CI, 1.02–1.08, P = 0.002) in the fully adjusted Model. Moreover, there was a slight increase in HR values with the progression of diabetes status. Restricted cubic spline analysis demonstrated a “U-shaped” relationship between SII and all-cause mortality in diabetic, pre-diabetic and non-diabetic populations (all the P for nonlinear < 0.001). In addition, the relationship between SII and CVDs mortality was also nonlinear in both the pre-diabetic and non-diabetic populations (both P < 0.001). However, there was a linear relationship between SII and cardiovascular mortality in individuals with diabetes (P = 0.528). ConclusionThe SII is closely associated with the risk of all-cause and cardiovascular mortality. These associations vary among individuals with different diabetic states. Therefore, monitoring systemic inflammation and SII values is crucial in mitigating the risk of mortality.

Association between the systemic immune-inflammation index and GnRH antagonist protocol IVF outcomes: a cohort study

Research questionWhat is the relationship between the systemic immune-inflammation index (SII) and IVF outcomes in women undergoing a gonadotrophin-releasing hormone (GnRH) antagonist protocol? DesignThis retrospective cohort study analysed clinical data and blood samples collected before oocyte retrieval from participants undergoing IVF with the GnRH antagonist protocol. Logistic regression and generalized additive models were used to examine the association between SII quartiles and continuous SII values and IVF outcomes. ResultsHigher SII values correlated negatively with biochemical pregnancy, clinical pregnancy, live birth and implantation rates, and positively with early pregnancy loss, independent of age, body mass index, anti-Müllerian hormone and stimulation parameters. The most significant adverse outcomes were observed in the highest SII quartile. A non-linear relationship was identified between log-transformed SII and IVF outcomes, with an inflection point at an SII of approximately 6.72, indicating a threshold effect. ConclusionsElevated SII is associated with poorer IVF outcomes in women after the GnRH antagonist protocol, suggesting its potential as a predictive marker in IVF treatments. Further research is needed to confirm these findings and explore the underlying mechanisms.

Systemic immune-inflammation index predicts survival in patients with resected lung invasive mucinous adenocarcinoma

BackgroundThe prognostic-related factors of lung invasive mucinous adenocarcinoma(IMA) are unclear because of its rarity. Various inflammation-based biomarkers were reported to predict the survival of malignant diseases. This study aims to explore the prognostic significance of the systemic immune-inflammation index(SII), which is calculated using absolute platelet, neutrophil, and lymphocyte counts, among patients with invasive mucinous adenocarcinoma. MethodsFrom January 2015 to December 2019, 106 patients were identified as having IMA accepted radical resection and enrolled in the retrospective study. We analyzed the overall survival and disease-free survival using the Kaplan-Meier method and log-rank test. Receiver operating characteristic curve was used to find the optimal SII cut-off values for survival. A Cox regression model was carried out for multivariable analyses. ResultsThe study cohort included 53 men and 53 women, with a mean age of 60 years (range 29 to 78 years, median 61 years). The median SII measured before surgery was 378.47 (range: 79.87–1701.97). ROC analyses revealed that the optimal cut-off values of SII was 379.43 for predicting both OS and DFS. An elevated SII (≥379.43) was observed in 52 patients (49.1 %), and was associated with younger age (P = 0.02), advanced T staging (P = 0.042), lymph node metastasis (P = 0.018) and pneumonic-type IMA (P = 0.018). Multivariable analysis showed that SII and pneumonic-type IMA were independent prognostic predictors of OS and DFS in radically resected IMA patients (P < 0.05). ConclusionHigh SII is correlated with worse outcome and can be a novel prognostic biomarker for IMA patients accepted radical surgery.

Higher systemic immune-inflammation index is associated with sarcopenia in individuals aged 18–59 years: a population-based study

The association between the systemic immune-inflammation index (SII) and the risk of sarcopenia has not yet been revealed. The purpose of this study was to investigate the relationship between the SII and sarcopenia in individuals aged 18–59 years. All data for this study are from the National Health and Nutrition Examination Survey (NHANES) database, including 7258 participants (age range: 18–59 years). We divided SII values by quartiles (quartiles 1–4: 0.3–3.1, 3.2–4.4, 4.4–6.2, and 6.2–58.5). We constructed a multivariate logistic regression model to assess the association between the SII and the risk of sarcopenia, and an interaction test was run to test the stability of the model and identify high-risk individuals with sarcopenia. Compared to nonsarcopenia participants, sarcopenia patients had a significantly higher SII value (weighted average: 6.65 vs. 5.16) (P = 0.002). Multivariate logistic regression results showed a positive linear relationship between the SII and sarcopenia (OR [odds ratio] = 1.12, 95% CI [confidence interval] 1.03–1.21). Compared to the quartile 1 group, the quartile 4 group was associated with a higher risk of sarcopenia (OR = 3.94, 95% CI 1.42–10.94). Compared with the quartile 1 group, the OR value of the quartile 2 to quartile 4 groups showed an upwards trend (Ptrend < 0.001) as the level of SII increased. Subgroup analysis also indicate that the correlation between higher SII values and the risk of sarcopenia was stable. There was a significant positive linear relationship between SII and sarcopenia, indicating that higher SII values can increase the risk of sarcopenia in individuals aged 18–59 in the United States. The findings of this study will be beneficial in promoting the use of SII alone or in combination with other tools for the risk screening of sarcopenia in communities or large populations.

Systemic immune-inflammation index (SII) and the risk of all-cause, cardiovascular, and cardio-cerebrovascular mortality in the general population

BackgroundAn elevated systemic immune-inflammation index (SII) is associated with higher mortality in patients with coronary artery disease and other diseases. However, the potential of SII for predicting mortality in the general population has been underexplored. Therefore, this study aimed to analyze the relationship between the SII and all-cause, cardiovascular disease, and cardiocerebrovascular disease mortality in the general population.MethodsThis study involved 26,855 participants (≥ 18 years) from the National Health and Nutrition Examination Survey 1999–2014 who were grouped according to the SII tertiles. Survival differences between the groups were analyzed using log-rank tests and Kaplan–Meier plots. Furthermore, multivariate Cox regression and restricted cubic spline analyses were used to examine the relationship between the SII and all-cause, cardiovascular, and cardio-cerebrovascular mortality.ResultsOverall, 1947 (7.425%) participants died following an average follow-up of 87.99 ± 54.04 months. Among these, 325 (1.210%) deaths were related to cardiovascular diseases and 392 (1.459%) to cardio-cerebrovascular mortality. Kaplan–Meier analysis revealed statistically significant differences in all-cause, cardiovascular, and cerebrovascular mortality between the SII tertiles (log-rank test: all P < 0.001). Multi-adjusted models showed that participants in the highest tertile of SII had a higher risk of death from all-cause (hazard ratio [HR] = 1.48, 95% confidence interval [CI] 1.48–1.48) and cardiovascular mortality (HR = 1.60, 95% CI 1.60–1.61) compared with those in the lowest tertile. In addition, the restricted cubic spline curve indicated a nonlinear association between SII and all-cause mortality (P < 0.001), with threshold value of SII at 18.284. There was a 15% decrease in the risk of all-cause mortality for each twofold change in SII on the left flank (HR = 0.85, 95% CI 0.69–1.05) and a 42% increase (HR = 1.42, 95% CI 1.23–1.64) on the right flank of the inflection point. In addition, the risk of cardiovascular mortality increased nonlinearly by 39% per twofold change in SII (HR = 1.39, 95% CI 1.07–1.81). There was also a nonlinear increase in the risk of cardio-cerebrovascular mortality per twofold change in SII (HR = 1.29, 95% CI 1.00–1.66).ConclusionsIn the general population, the SII was significantly associated with all-cause, cardiovascular, and cardio-cerebrovascular mortality, regardless of the established risk factors.

The potential role of systemic inflammatory markers in predicting recurrence in early-stage cervical cancer

IntroductionThe influence of systemic inflammatory markers on early-stage cervical cancer (ECC) patients is contradictory. No previous study analyzed whether these markers may be suggestive of recurrence. The aim of this study was to assess whether the inflammatory markers level of patients with recurrence during surveillance was different from those of patients without recurrence representing a risk factor for recurrence. MethodsRetrospective, single-center, observational study. Patients with 2009 FIGO EEC surgically treated between 2012 and 2019 were included. Baseline inflammatory markers were evaluated on the results of the complete blood count (CBC) and coagulation tests. Inflammatory markers of relapsed patients were evaluated on the last CBC performed before the relapse diagnosis. Inflammatory markers of patients with no recurrence were evaluated on the available CBC taken at the same median follow-up time as the one from relapsed patients. Results174 patients were included. Baseline Systemic immune inflammation index (SII) > 663 and Systemic inflammation response index (SIRI) > 0.98 were associated with significant risk of recurrence. SII>663 and Neutrophil to lymphocyte ratio (NLR) > 2.41 were associated with increased risk of death. Significant changes between relapsed (n = 23) and non-relapsed (n = 151) patients in median values of SII (615 versus 490, p-value = 0.001), SIRI (0.74 versus 1.05, p-value = 0.005), NRL (2.95 versus 2.15, p-value = 0.0035), and MLR (0.26 versus 0.22 p-value = 0.020), showed that different levels of inflammatory markers could help identifying recurrent disease during surveillance. ConclusionBaseline SII>663 and SIRI>0.98 were associated with increased risk of recurrence. Higher median values of SII, SIRI, NLR and MLR in relapsed patients highlight their potential association with recurrence.

Can systemic immune-inflammation index and hematologic parameters aid in decision-making for active surveillance or curative treatment in low-risk prostate cancer?

IntroductionPathologic Gleason Score (GS) upgrading is common in patients with low-risk localized prostate cancer (PCa) who are followed by active surveillance (AS) or undergo radical prostatectomy (RP). This fact raises concerns about inadequate treatment, especially in AS patients. We aimed to analyze the association of preoperative neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and systemic immune-inflammation (SII) index with GS upgrading. Materials and methodsThis study was approved by the Ethical Review Committee of Afyonkarahisar Health Sciences University. Data of the patients who underwent RP for PCa at three different centers between 2018 and 2023 were retrospectively analyzed. The patients were divided into 2 groups based on GR upgrading status as “upgrading” and “non-upgrading”. Among the patients who underwent RP, 77 patients who fully met the criteria for AS were identified. The patients eligible for AS were divided into “non-upgrading” and “upgrading” groups. These groups were compared regarding NLR, PLR, and SII index values. ResultsOverall, data from 250 patients were reviewed. Among these, 147 had GS upgrading, while 103 had no upgrading. Seventy-seven patients were eligible for AS. Among these patients, 30 had upgrading, while 47 were in the “non-upgrading” group. Our analysis revealed that an NLR of 1.85 and above was associated with a 2.238-fold increase in the risk of GS upgrading (p = 0.009). Also, a PLR of 115.7 and above was affiliated with a 2.992-fold increase in the GS upgrading risk (p < 0.001). The analysis regarding patients who underwent RP but were eligible for AS revealed that an NLR of ≥1.68 was associated with a 3.25-fold risk increase in GS upgrading. On the other hand, a PLR≥134.5 and an SII index≥630.7 were affiliated with a 12.303-fold and 6.562-fold increase in the risk of upgrading (p = 0.019, p = 0.018). ConclusionThe decision of AS should be carefully reappraised, and treatment methods such as RP or radiotherapy should be considered in patients with high NLR, PLR, or SII index values.

The Combined Effect of Systemic Immune-Inflammation Index and Type 2 Diabetes Mellitus on the Prognosis of Patients Undergoing Percutaneous Coronary Intervention: A Large-Scale Cohort Study.

Chronic low-grade inflammation is the common mechanism of both atherosclerosis and type 2 diabetes mellitus (T2DM), and systemic immune-inflammation index (SII) has been emerged as a novel and simple inflammatory biomarker. However, the association between SII and glycemic metabolism and their synergetic effect on the prognosis of coronary artery disease (CAD) patients remains unclear. A total of 8602 patients hospitalized for percutaneous coronary intervention (PCI) were included. The primary endpoint was major adverse cardiovascular events (MACE), including all-cause death, myocardial infarction (MI), and target vessel revascularization. According to the optimal cut-off value of SII for MACEs, patients were grouped into higher levels of SII (SII-H) and lower levels of SII (SII-L) and further divided by the concomitance of T2DM into four groups: SII-H/T2DM, SII-H/Non-T2DM, SII-L/T2DM, SII-L/Non-T2DM. During a median 2.4-year follow-up, 522 MACEs occurred. The optimal cut-off value of SII for MACEs was 502.5. A 1-unit increase of SII (transformed by natural logarithm) was associated with a 29% increase of MACE risks in the T2DM cohort [adjusted hazard ratio (HR): 1.29, 95% confidence interval (CI): 1.03 to 1.61, P = 0.024], while had no effect in the non-T2DM cohort (HR: 1.03, 95% CI: 0.80 to 1.34, P = 0.800). Compared to those in SII-H/T2DM group, patients in SII-H/Non-T2DM, SII-L/T2DM, SII-L/Non-T2DM had significantly decreased risk of MACEs [adjusted HR: 0.77, 95% CI: 0.61 to 0.98, P = 0.036; adjusted HR: 0.66, 95% CI: 0.50 to 0.87, P = 0.003; adjusted HR: 0.58, 95% CI: 0.45 to 0.74, P < 0.001; respectively]. Multivariable Cox regression analysis also indicated the highest risk in T2DM patients with higher levels of SII than others (P for trend < 0.001). In this large-scale real-world study, diabetic patients with elevated SII levels were associated with worse clinical outcomes after PCI.

Correlation of systemic immune-inflammation index with immature to total neutrophil ratio (IT Ratio) in septic neonates admitted to Wangaya Regional General Hospital Denpasar

Introduction: Early diagnosis and management of neonatal sepsis plays an important role in determining patient outcomes. The Immature to Total Neutrophil Ratio (IT ratio) is one of the diagnostic criteria for neonatal sepsis. However, the IT ratio examination is separate from the complete blood examination, and must be carried out manually or with an automatic microscope. The systemic immune-inflammation index (SII) is calculated by multiplying the number of platelets by the number of neutrophils and dividing by the number of lymphocytes derived from the complete blood count (CBC) examination. Recent studies have shown that SII values increase significantly at the time of diagnosis of neonatal sepsis. This study aims to find the correlation between the IT ratio and SII in septic neonates. Methods: This cross-sectional analytical observational study was conducted at the Wangaya Regional General Hospital, Denpasar. Data was taken from medical records of patients admitted from June 2022 to September 2023. Neonates with major congenital abnormalities, autoimmune diseases, immunodeficiency conditions and incomplete medical record data were excluded from the study. The correlation between the SII value and the IT ratio was analyzed using the Pearson correlation test. Data analysis was carried out using the SPSS version 25 software. Results: This study consisted of 31 septic neonates who met the inclusion and exclusion criteria. Most of the subjects in this study were male and preterm neonates. The median IT ratio and SII were 0.20 and 875.92 x103/ul respectively. The correlation value or r value between SII and the IT ratio was 0.386 with a P value of 0.060. Conclusion: Increased SII in septic neonates occurs due to thrombocytosis and neutrophilia as a response to systemic inflammation. Meanwhile, lymphocyte activation is inhibited which causes a decrease in immune function. Although no correlation between the IT ratio and SII was observed, further diagnostic research needs to be carried out to analyze the ability of SII to diagnose neonatal sepsis.

Is Systemic Immune-Inflammation Index a Real Non-Invasive Biomarker to Predict Oncological Outcomes in Patients Eligible for Radical Cystectomy?

Background and Objectives: To assess the potential prognostic role of the systemic immune-inflammation index (SII) in predicting oncological outcomes in a cohort of patients treated with radical cystectomy (RC). Materials and Methods: From 2016 to 2022, a retrospective monocentric study enrolled 193 patients who were divided into two groups based on their SII levels using the optimal cutoff determined by the Youden index. The SII was obtained from a preoperative blood test approximately one month before RC. Univariable and multivariable logistic regression analyses were conducted to investigate the capacity of SII to predict lymph node invasion (N), advanced pT stage (pT3/pT4), and locally advanced condition at the time of RC. Multivariable Cox regression models adjusted for preoperative and postoperative features were used to analyze the prognostic effect of SII on recurrence-free survival (RFS), cancer-specific survival (CSS), and overall survival (OS). Results: The optimal cutoff value of the SII was 640.27. An elevated SII was seen in 113 (58.5%) patients. Using the multivariable preoperative logistic regression models, an elevated SII was correlated with nodal invasion (N; p = 0.03), advanced pT stage (p = 0.04), and locally advanced disease (p = 0.005), with enhancement of AUCs for predicting locally advanced disease (p = 0.04). In multivariable Cox regression models that considered preoperative clinicopathologic factors, an elevated SII was linked to poorer RFS (p = 0.005) and OS (p = 0.01). Moreover, on multivariable Cox regression postoperative models, a high SII was linked to RFS (p = 0.004) and to OS (p = 0.01). Conclusions: In this monocentric retrospective study, higher preoperative SII values predicted worse oncological outcomes in patients with bladder cancer (BCa) who underwent RC.

Preoperative systemic immune-inflammation index as a prognostic indicator for patients with urothelial carcinoma.

The systemic immune-inflammation index (SII) is a cost-efficient indicator for carcinoma prognosis. However, its utility in urothelial carcinoma (UC) prognosis is disputed. This meta-analysis aims to assess SII's prognostic value in UC. A thorough search of databases including PubMed, Web of Science, Embase, Cochrane Library, and Scopus, was conducted to find studies until January 11, 2023. Eligibility criteria were applied to select studies. Hazard ratios (HRs) and 95% confidence intervals (CIs) were extracted from selected studies and compiled in a meta-analysis to gauge SII's association with survival outcomes such as overall survival (OS), cancer-specific survival (CSS), recurrence-free survival (RFS), and progression-free survival (PFS). This analysis includes 19 studies with 12505 UC patients. It was found that high SII significantly correlated with worse OS in UC patients (HR 1.430, 95% CI 1.237-1.653, P<0.001). High SII values also linked with poorer CSS (HR 1.913, 95% CI 1.473-2.485, P<0.001), RFS (HR 1.240, 95% CI 1.097-1.403, P=0.001), and PFS (HR 1.844, 95% CI 1.488-2.284, P<0.001) compared to low SII values. Subgroup analysis revealed SII's consistent prognostic value in UC across races, carcinoma types, sample sizes, and SII cut-off values, suggesting its potential as a prognostic indicator in UC patients. Current evidence suggests SII as a promising, cost-efficient predictor in UC patients. This meta-analysis indicates SII's potential as a valuable prognostic tool in UC patients. https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=307643, identifier CRD42022307643.

Lymphocyte-related ratios, systemic immune-inflammatory and systemic inflammatory response index in alcohol use disorder

ABSTRACT Addictive disorders are associated with systemic and central nervous system inflammation, which may be important for the onset and development of these diseases. Although lymphocyte-related parameters have recently been studied in alcohol use disorder (AUD), systemic immune-inflammation index (SII) and systemic inflammatory response index (SIRI) haven’t. Lymphocyte-related ratios, SII and SIRI levels were evaluated between AUD and healthy controls (HC) in this study. It was a retrospective and cross-sectional study. This study included 72 patients with AUD and 184 individuals in the HC group. Lymphocyte related ratios such as neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR) and platelet to lymphocyte ratio (PLR), SII and SIRI values were compared. Compared to HC group, NLR (p < 0.001), MLR (p < 0.001), and SIRI (p < 0.001) levels were significantly higher in AUD group. There was also a significant relationship between NLR and AST/ALT ratio in the AUD group (p = 0.022). The results of this study support that AUD is a chronic inflammatory psychiatric disorder. In addition, it may be useful to evaluate these markers in relation to liver enzymes in patients with AUD, as alcohol consumption causes liver damage. These markers may also be used in future studies to assess treatment response and disease severity.

Comparison of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) as marker of adverse prognosis in patients with infective endocarditis

Infective Endocarditis (IE) remains a life-threatening condition and early risk stratification helps us to predict mortality and the need for aggressive treatment. We compared NLR, PLR, and SII, on admission to predict in-hospital mortality. Consecutive IE patients, who met inclusion criteria were analysed. Receiver operating characteristic curve (ROC) analysis was conducted for NLR, PLR, and SII to predict in-hospital mortality. The median value of NLR was 19.6 (10.1–27) in patients with mortality, and 5.4 (3.2–8.5) in alive patients. The median value of PLR and SII were comparable in both groups. The area under the ROC curve of NLR showed a significant value of 0.83 (p = 0.001). A Kaplan Meier survival analysis for patients taking a cut-off value of NLR (9.8) was statistically significant (p < 0.001). In multivariate regression model, only NLR was statistically significant predictor of mortality. So NLR, which is a simple, readily available, and inexpensive parameter has a better association with in-hospital mortality in IE patients.