Elevated Systemic Immune-inflammation Index Research Articles

Bevacizumab as a mitigating factor for the impact of high systemic immune-inflammation index on chemorefractory in advanced epithelial ovarian cancer.

Predicting chemorefractory disease in advanced epithelial ovarian cancer (EOC) remains challenging. This study aimed to identify clinicopathological factors and hemogram data as predictive markers for chemorefractory EOC and to explore potential therapeutic approaches that may mitigate these unfavorable conditions. We conducted a retrospective analysis of patients with advanced EOC treated with chemotherapy. Hemogram data and clinicopathological variables were collected. We employed logistic regression to assess factors associated with chemorefractory EOC and used the Kaplan-Meier method for survival analysis. Among the 191 patients analyzed, suboptimal surgery, lymphocyte count < 1440/mm3, systemic immune-inflammation index (SII) ≥ 2350, and lack of bevacizumab therapy were independently associated with chemorefractory EOC (OR 19.30, 95% CI 7.01-53.12; OR 9.07, 95% CI 2.76-29.82; OR 12.45, 95% CI 3.87-40.07; OR 6.61, 95% CI 2.01-21.78, respectively). Elevated SII was also identified as a risk factor for poor progression-free (PFS) and overall survival (OS). Specifically, patients with high SII who did not receive bevacizumab had a significantly higher probability of chemorefractory EOC and poorer survival outcomes compared to those who received bevacizumab. Our findings suggest that hemogram parameters and clinicopathological factors such as suboptimal surgery, lymphocyte count, SII, and bevacizumab therapy status are predictive markers for chemorefractory disease in advanced EOC. Elevated SII emerged as a predictor for poorer PFS and OS outcomes, particularly in the absence of bevacizumab therapy.

Systemic immune-inflammatory index and platelet-to-lymphocyte ratio in intrahepatic cholestasis of pregnancy.

To investigate the role of systemic immune-inflammation index (SII) in the diagnosis and severity of intrahepatic cholestasis of pregnancy (ICP). This case-control research involved 173 pregnant women with ICP and 266 gestational age-related healthy pregnant women as the control group. Criteria for diagnosing ICP were acceptance of increased serum total bile acid (TBA) levels (≥10 μmol/L). The mild ICP group (n=109) had TBA levels ranging between 10-39 µmol/l, while the severe ICP group (n=64) had a minimum TBA level above 40 µmol/l. Sociodemographic data, laboratory results, and SII values were compared between groups. Cut-off values were calculated to predict ICP. The SII was calculated as the platelet count × neutrophil count/lymphocyte count. The leukocyte and neutrophil counts were lower (p<0.01), and the monocyte count was higher (p=0.026) in the severe ICP group compared to the controls. The platelet-to-lymphocyte ratio (PLR) was higher in mild ICP groups than in controls (p<0.01). The optimum PRL cut-off value was 126.2238, with a sensitivity of 57.2% and specificity of 57.1%. Elevated SII values support the evidence for the inflammatory properties of ICP but do not aid in diagnosing and determining its severity. Platelet-to-lymphocyte ratio may be a useful marker in determining ICP.

Association between Systemic Immune-Inflammation Index (SII) and New-Onset In-Hospital Heart Failure in Patients with STEMI after Primary PCI.

The systemic immune-inflammation index (SII) is a proven, reliable inflammatory marker of the atherosclerotic process. Additionally, inflammation is one of the most important mechanisms of heart failure (HF) after myocardial infarction (MI). However, it is not clear whether SII is related to the risk of in-hospital HF in patients with MI. Thus, we aimed to explore the relationship between SII and the risk of new-onset in-hospital HF in ST-segment elevation myocardial infarction (STEMI) patients treated with primary percutaneous coronary intervention (pPCI). A total of 5586 patients with STEMI underwent pPCI at seven clinical sites in China from January 2015 to August 2021. The patients were divided into two groups based on the SII values. The association between SII and new-onset in-hospital HF in STEMI patients was assessed using logistic regression analysis. Ultimately, 3808 STEMI patients with Killip class I who were treated with pPCI were included. All included patients were divided into two groups based on the calculated SII (Q1 SII: <1707.31 (×109/L), Q2 SII: ≥1707.31 (×109/L)). After unadjusted and multivariate adjustment for age, gender, vital signs, smoking, hypertension, diabetes mellitus, etc., the odds ratio (OR) of the in-hospital HF risk in Q2 was 1.378-1.427 times the Q1 in the calibration Models 1 to 5. Subgroup analysis showed that the OR of Q2 was 1.505-fold higher of Q1 in males and 1.525-fold in older people (≥60 years). Sensitivity analysis showed that after excluding patients who had previously experienced HF, MI, or underwent PCI, elevated SII was still associated with a significant increase in the risk of in-hospital HF. Elevated SII is associated with an increased risk of in-hospital HF in STEMI patients treated with pPCI, particularly in male and older patients. The Chinese STEMI pPCI Registry was registered with ClinicalTrials.gov (NCT04996901, https://www.clinicaltrials.gov/study/NCT04996901?cond=NCT04996901&rank=1).

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

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

Systemic inflammation markers independently associated with increased mortality in individuals with hyperuricemia: Results from the NHANES prospective cohort study.

Hyperuricemia is associated with increased systemic inflammation. The systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) are novel systemic inflammation markers and prognostic markers. However, no studies have evaluated the association between the SII/SIRI and mortality risk in individuals with hyperuricemia. This study aimed to investigate the predictive value of the SII and SIRI for all-cause and cardiovascular mortality in a large cohort of hyperuricemia patients. We conducted a prospective cohort study using data from the National Health and Nutrition Examination Survey (NHANES) 2001-2020. Hyperuricemia was defined as serum uric acid (SUA) levels of ≥7 mg/dL in men and ≥6 mg/dL in women. The SII and SIRI were calculated based on complete blood count parameters. Associations with all-cause and cardiovascular mortality were analyzed using Cox proportional hazards models. Nonlinearity and effect modification were assessed using restricted cubic splines (RCS) and interaction analysis. Among the 6181 participants with hyperuricemia aged 20 years and older, over a total 181 months of follow-up, there were 936 all-cause deaths, of which 195 were cardiovascular mortality. In the fully adjusted models, the hazard ratios (HRs) were 1.73 (95% CI 1.42-2.13) for the SII and 2.18 (95% CI 1.82-2.62) for the SIRI with all-cause mortality. The adjusted HRs were 2.08 (95% CI 1.37-3.14) for the SII and 2.32 (95% CI 1.56-3.45) for the SIRI with cardiovascular mortality. Spline models identified nonlinear U-shaped (SII) and J-shaped (SIRI) relationships of inflammation markers with mortality. Elevated SII and SIRI are independent predictors of mortality in hyperuricemia patients. These inflammatory biomarkers may improve risk stratification in this high-risk population. Further research should evaluate utility in guiding preventive interventions.

Systemic immune-inflammation index predicts short-term mortality in acute ischemic stroke with severe stenosis of internal carotid artery associated pneumonia.

We aimed to investigate the relationship between systemic immune-inflammation index (SII) and short-term mortality in acute ischemic stroke (AIS) with internal carotid artery (ICA) severe stenosis and stroke associated pneumonia (SAP) patients. Information on general demographic, laboratory data, CT angiography, magnetic resonance angiography, or digital subtraction angiography were obtained. The predictive power was evaluated by assessing the area under the receiver operating characteristic (ROC) curve. The logistic regression was performed to assess the association of SII and short-term mortality in severe stenosis ICA-AIS and SAP patients. Among 342 patients with severe stenosis ICA-AIS and SAP, death occurred in 66 patients during 120 days follow-up. Multivariate regression analyses indicated that increased SII predicts higher mortality in 120 days follow-up, and the risk of short-term mortality in SII>666.31 × 109/L group is increased 4.671-fold. Patients with SII>666.31 × 109/L had higher proportion of male, hypertension, smoking, higher admission NIHSS score, higher systolic blood pressure, and higher proportion of 120 days mortality. Higher SII predicted a worse 120 days mortality was worked out by Kaplan-Meier methods. An elevated SII was remarkably associated with 120 days mortality in severe stenosis ICA-AIS and SAP patients.

Impact of Sleep Quality on Hemogram-Derived Inflammatory Indices in Medical Undergraduates: A Cross-Sectional Study

The link between sleep-related disorders and inflammation is well-known, but the association between inflammatory indices and sleep deprivation is still unclear. In our study, we aimed to investigate the relationship between irregular sleep patterns and systemic inflammation using Hemogram-Based Inflammatory Indices. We collected demographic information from 90 undergraduate medical students through a confidential questionnaire. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Blood samples were obtained for complete blood count analysis, with platelet (P), lymphocyte (L), and neutrophil (N) counts measured. These values were then used to calculate hemogram-based inflammatory indices, including the Systemic Immune-Inflammation Index (SII), Platelet-to-Lymphocyte Ratio (PLR), and Neutrophil-to-Lymphocyte Ratio (NLR). A high prevalence of inconsistent sleep was observed among medical students, with 53% reporting a PSQI score greater than 5(mean score 5.9±2.9). Subjects with poor sleep quality had elevated SII values. Additionally, female participants who experienced poor sleep quality demonstrated a significant positive correlation with SII (r=0.322; p&lt;0.049). Irregular sleep patterns are associated with greater systemic inflammation milieu specifically with SII compared to NLR and PLR. This effect was more pronounced in female participants, suggesting a potential gender-specific influence.

Congential nasolacrimal duct obstruction: investigating the role of systemic inflammation through novel biomakers.

Congenital nasolacrimal duct obstruction (CNLDO) is a common lacrimal system anomaly in newborns and infants. We aimed to evaluate the role of inflammation in the pathogenesis of persistent CNLDO and its potential use in diagnosis and follow up, focusing on novel inflammatory biomarkers: Systemic Immune-Inflammation Index (SII), Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR), Red cell distribution width (RDW), and Mean platelet volume (MPV). A retrospective case-control study involving 76 CNLDO patients and 47 age-matched healthy controls was conducted. Complete blood count parameters were analyzed to calculate SII, NLR, PLR, RDW, and MPV. Receiver Operating Characteristic (ROC) analysis determined the diagnostic efficacy of these markers. SII, RDW, and neutrophil count were significantly elevated in the CNLDO group (p < 0.05). An elevated SII (cutoff > 200.9) demonstrated a sensitivity of 63.2% and a specificity of 63.8%. ROC analysis (AUC = 61.7%, p = 0.029) indicated that SII is a more significant marker for diagnosing CNLDO compared to NLR and PLR. Elevated SII, indicative of systemic inflammation may serve as a significant biomarker in the diagnosis of CNLDO that does not resolve spontaneously and requires probing. SII > 200.9 acts as a threshold that aids in the diagnosis of persistent CNLDO. Being a valuable biomarker, SII can be used in monitoring patients with CNLDO and in identifying those who will require advanced treatment like probing. Prospective studies are essential to validate these findings.

Systemic immune inflammation index and all-cause mortality in chronic kidney disease: A prospective cohort study.

The aim of this study was to investigate the association between systemic immune-inflammation index (SII) and all-cause mortality in individuals with chronic kidney disease (CKD). This prospective cohort study was carried out among 9303 participants with CKD from the National Health and Nutrition Examination Survey cycles spanning 1999 to 2018. The mortality data were ascertained by linking participant records to the National Death Index up to December 31, 2019. Complex sampling-weighted multivariate Cox proportional hazards models were employed to estimate the association between SII level and all-cause mortality, providing hazard ratios (HR) and 95% confidence intervals (CI). A restricted cubic spline analysis was conducted to explore potential nonlinear correlation. Subgroup analyses and sensitivity analyses were also conducted. During a median follow-up period of 86 months, 3400 (36.54%) all-cause deaths were documented. A distinctive "J"-shaped relationship between SII level and all-cause mortality was discerned among individuals with CKD, with the nadir observed at an SII level of 478.93 within the second quartile. After adjusting for potential covariates, the risk of all-cause mortality escalated by 13% per increment of one standard deviation of SII, once SII exceeded 478.93 (HR = 1.13; 95% CI = 1.08-1.18). An elevated SII was associated with an increased risk of all-cause mortality among patients with CKD (Q4 vs. Q2: HR = 1.23; 95% CI = 1.01-1.48). Subgroup analyses indicated that the correlation between SII and CKD mortality was particularly pronounced among participants over 60 years old and individuals with diabetes. Sensitivity analyses revealed a linear positive association between SII and all-cause mortality after removing the extreme 5% outliers of SII. A distinctive "J"-shaped relationship between SII level and all-cause mortality was identified among individuals with CKD. Further research is warranted to validate and expand upon these findings.

Prognostic value of systemic immune-inflammation index in patients with locally advanced renal cell carcinoma

Purpose: To assess the prognostic value of systemic immune-inflammation index (SII) for disease progression in locally advanced renal cell carcinoma (RCC). Materials and methods: A total of 97 patients with locally advanced RCC who underwent curative surgery between January 1, 2010 and December 31, 2018 were included in this retrospective study. The study was approved by the Institutional Review Board of Linkou Chang Gung Memorial Hospital with an IRB number of 202000092B0. Outcomes analyzed were the disease-free survival (DFS) of patients with locally advanced RCC and the prognostic value of SII. Results: Among 97 locally advanced RCC patients, disease progression was noted in 48.5% of the patients. The median DFS was 55.6 months (95% confidence interval: 45.1–66.2 months). An elevated SII greater or equal to 514 was associated with a poorer DFS. After multivariate analyses of possible predictive factors, SII remained statistically associated with a poorer DFS. Conclusion: An elevated SII was associated with a poorer DFS in patients with locally advanced RCC. SII could be used as a prognostic factor to guide the use of adjuvant therapy after curative surgery for patients with locally advanced RCC.

The Association Between Systemic Immune-Inflammation Index at Admission and Readmission in Patients with Bronchiectasis.

Systemic Immune-Inflammation Index (SII), calculated by (neutrophils count × platelet count)/lymphocytes count, is a novel index of the local immune response and systemic inflammation response. The SII has been shown to play an important role in the prognosis of many diseases, including cardiovascular diseases, cancer and COPD. However, its role in the prognosis of bronchiectasis remains unclear and requires further investigation. This study aimed to investigate the association between SII and readmissions in patients with acute exacerbations of bronchiectasis. We conducted a retrospective cohort study of all bronchiectasis patients admitted to the respiratory ward in Beijing Chaoyang Hospital from January 2020 to January 2022. Patients were classified into four groups according to the quartiles of log2(SII) at admission. The primary endpoint was readmission at 1-year follow up. Univariate and multivariate cox regression models were applied to investigate the relationship between SII and readmissions at 1-year follow up in patients with bronchiectasis. A total of 521 patients were included in our study. The median (IQR) SII at admission were 506.10 (564.84). Patients with higher SII tended to be older, male, past and current smokers, have lower BMI, and more dyspnea symptoms. They also had higher inflammatory markers and received a greater spectrum of antibiotics and more intravenous glucocorticoids. Higher SII at admission were independently associated with readmission in patients with acute exacerbations for bronchiectasis following confounder adjustment (OR =1.007; 95% CI, 1.003-1.011; p <0.001). Patients with elevated SII levels were typically older males, often smokers, with lower BMI and increased dyspnea. They received more antibiotics and intravenous glucocorticoids. Higher SII at admission are associated with readmission in patients with acute exacerbations of bronchiectasis. SII has potential clinical value as a predictive biomarker for clinical outcomes in bronchiectasis, offering a valuable tool for management strategies.

The association between Behçet disease activity and elevated systemic immune-inflammation index: A retrospective observational study in a tertiary care hospital.

Background The systemic immune-inflammation index (SII) is a novel marker for predicting the prognosis in patients with various diseases and cancers. We aimed to investigate the relationship between SII and disease activity in patients with Behçet disease (BD). Methods Our retrospective study included 513 patients with BD aged ≥18 years. The patients were classified into an active group (n=355) and an inactive group (n=158). Pearson correlation analysis was performed to elucidate correlations between the SII and other markers. Binary logistic regression analysis was used to determine BD-related risk factors. Receiver operating characteristic (ROC) curves were computed to assess cut-offs for the predictive value of the SII and other markers. Results Patients with active BD had a significantly higher SII (p<0.001) than those in the inactive group. ROC analysis revealed that the optimal SII cut-off value to identify BD activity was 526.23, with 70.4% sensitivity and 70.3% specificity. Pearson correlation coefficient (r) demonstrated a significant positive correlation between SII, and the C-reactive protein level (r=0.427, p<0.001), erythrocyte sedimentation rate (r=0.422, p<0.001), platelet- lymphocyte ratio (r=0.711, p<0.001), and neutrophil- lymphocyte ratio (r=0.672, p<0.001). According to binary logistic regression analysis, the SII (odds ratio [OR] 1.003; 95% confidence interval [CI] 1.001-1.004; p=0.002) was an independent risk factor for active BD. Conclusion The SII can be considered a novel predictor of BD activity.

Independent risk factor of drug eruption in immune checkpoint inhibitors treated liver cancer patients: high systemic immune-inflammation index

Purpose The clinical application of immune checkpoint inhibitors (ICIs) has significantly improved the prognosis of liver cancer patients. However, drug eruption associated with ICI monotherapy or combination therapy not only impacts the quality of life and treatment progress of liver cancer patients but also poses a potential threat to their lives. The study aims to investigate the risk factors of drug eruption in liver cancer patients undergoing ICIs in real-world settings. Methods We retrospectively collected data from liver cancer patients who underwent ICI therapies at the Third Affiliated Hospital of Sun Yat-sen University between 2021 and 2022. A propensity score matching (PSM) method was employed to match 31 liver cancer patients with ICI-related drug eruption (drug eruption group) to 228 liver cancer patients without immune-related adverse reactions (control group) in a 1:2 ratio, creating two groups of patients with comparable baseline characteristics. Subsequently, logistic regression analysis was then conducted to analyze the clinical risk factors associated with drug eruption caused by ICIs. Results Before PSM, there were statistically significant differences between the drug eruption group (31 cases) and the control group (228 cases) in two variables: Child-Pugh liver function classification and presence of vascular invasion (both p < 0.05). However, after PSM, no statistically significant differences were found in the clinical variables between the drug eruption group (28 cases) and the control group (52 cases). Univariate analysis revealed significantly higher levels of aspartate amino­transferase, alanine aminotransferase, glutamyl transpeptidase, and systemic immune-inflammation index (SII) and a significantly lower rate of liver cancer resection surgery before immunotherapy in liver cancer patients with drug eruption compared to the control group (p < 0.05). Multivariate analysis indicated that an elevated SII level before immunotherapy was significantly associated with the occurrence of drug eruption in liver cancer patients treated with ICIs (p < 0.05). The predictive performance of SII before immunotherapy in liver cancer patients for ICI-related drug eruption yielded an area under the receiver operator characteristic curve of 0.852, with a critical value of 749.189. Sensitivity and specificity were determined as 85.7% and 75%, respectively (p < 0.05). Conclusions Elevated systemic immune-inflammation index is identified as a risk factor for drug eruption occurrence in liver cancer patients treated with ICI therapies.

Association between systemic immune-inflammation index and cardiovascular-kidney-metabolic syndrome

This study aims to explore the relationship between the Systemic Immune-Inflammation Index (SII) and Cardiovascular-Kidney-Metabolic (CKM) Syndrome and its components. Data from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2018 were analyzed. CKM Syndrome is defined as the coexistence of Cardiometabolic Syndrome (CMS) and Chronic Kidney Disease (CKD). The SII is calculated using the formula: SII = (Platelet count × Neutrophil count)/Lymphocyte count. Weighted logistic regression models were used to examine the associations between SII and CKM, as well as its specific components. Restricted cubic splines explored non-linear relationships, and piecewise linear regression models assessed threshold effects. A consistent positive correlation was observed between elevated SII levels and the likelihood of CKM and its related diseases. In the fully adjusted Model 3, an increase of 1000 units in SII was associated with a 1.48-fold increase in the odds of CKM (95% CI 1.20–1.81, p < 0.001). Quartile analysis revealed a dose–response relationship, with the highest quartile of SII (Q4) showing the strongest association with CKM and its components. Nonlinear analyses revealed inflection points for waist circumference, triglycerides, low HDL-C, and cardiometabolic syndrome at specific SII levels, indicating a change in the direction or strength of associations beyond these points. Conversely, a linear relationship was observed between SII and chronic kidney disease. The SII is positively correlated with the risk of CKM Syndrome and its individual components, with evidence of non-linear relationships and threshold effects for some components.

The relationship between peripheral immune cell markers and cognitive functions in patients with schizophrenia.

The purpose of this study was to investigate the relationship between peripheral immune cell markers and cognitive functions in patients with schizophrenia and healthy controls. Thirty-five patients diagnosed with schizophrenia with a stable course and a control group of 35 individuals matched in terms of sex, education, and age were included in this cross-sectional study. The Wisconsin Card Sorting Test (WCST), the Rey Auditory Verbal Learning Test (RAVLT), and the Stroop Test were used for neuropsychological evaluation. Blood neutrophil and lymphocyte percentages, neutrophil-lymphocyte ratio (NLR), and systemic immune-inflammation index (SII) values were calculated. The female patients exhibited significantly higher NLR and neutrophil percentages than the female controls and higher NLR, neutrophil percentage, and SII than the male patients. The increased neutrophil percentages and NLR and decreased lymphocyte percentages in the female patients were significantly correlated with worsening Stroop interference and RAVLT 1 scores. Additionally, a longer duration of illness was significantly correlated with elevated NLR, SII, and neutrophil percentage and a decreased lymphocyte percentage. A higher number of previous hospitalizations was correlated with elevated SII and decreased lymphocyte percentages. Regression analysis showed a significant association between neutrophil percentages and Stroop interference scores used to evaluate attentional functions in patients with schizophrenia. These study results suggest that gender and the course of the illness may affect NLR and SII values. An elevated neutrophil percentage may be one of the factors affecting attentional dysfunction in patients with schizophrenia. Prospective studies are now needed to verify these findings.

Association of the systemic immune-inflammation index with all-cause and cardiovascular mortality in individuals with rheumatoid arthritis

The systemic immune-inflammation index (SII), a metric reflecting systemic inflammatory response and immune activation, remains underexplored concerning its correlation with mortality among rheumatoid arthritis (RA) patients. This study aimed to delineate the association between SII and both all-cause and cardiovascular mortality within the cohort of American adults diagnosed with RA, utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018. The investigation extracted data from NHANES cycles between 1999 and 2018, identifying RA patients through questionnaire responses. The SII was computed based on complete blood counts, employing the formula: (platelets × neutrophils) / lymphocytes. The optimal SII cutoff value for significant survival outcomes was determined using maximally selected rank statistics. Multivariable Cox proportional hazards models assessed the relationship between SII levels and mortality (all-cause and cardiovascular) among RA patients, with subgroup analyses examining potential modifications by clinical confounders. Additionally, restricted cubic spline (RCS) analyses were conducted to explore the linearity of the SII-mortality association. The study encompassed 2070 American adults with RA, among whom 287 exhibited a higher SII (≥ 919.75) and 1783 a lower SII (< 919.75). Over a median follow-up duration of 108 months, 602 participants died. After adjustments for demographic, socioeconomic, and lifestyle variables, a higher SII was associated with a 1.48-fold increased risk of all-cause mortality (hazard ratio [HR] = 1.48, 95% confidence interval [CI] 1.21–1.81, P < 0.001) and a 1.51-fold increased risk of cardiovascular mortality (HR = 1.51, 95% CI 1.04–2.18, P = 0.030) compared to a lower SII. Kaplan–Meier analyses corroborated significantly reduced survival rates within the higher SII cohort for both all-cause and cardiovascular mortality (Pall-cause mortality < 0.0001 and Pcardiovascular mortality = 0.0004). RCS analyses confirmed a positive nonlinear relationship between SII and mortality rates. In conclusion, the SII offers a straightforward indicator of the equilibrium between detrimental innate inflammation and beneficial adaptive immunity. Our investigation, utilizing a comprehensive and nationally representative sample, reveals that elevated SII levels independently forecast a greater risk of mortality from all causes, as well as cardiovascular-specific mortality, in individuals suffering from RA. These insights underscore the clinical relevance of the SII as an affordable and readily accessible biomarker. Its incorporation into regular clinical practice could significantly enhance the precision of risk assessment and forecasting for patients with RA, facilitating more tailored and effective management strategies. Specifically, patients with high SII levels could be identified for more stringent cardiovascular risk management, including closer monitoring, lifestyle interventions, and aggressive pharmacological treatments to mitigate their increased risk of mortality.

Association between immune-inflammation-based prognostic index and depression: An exploratory cross-sectional analysis of NHANES data

BackgroundImmune-inflammatory mediators influence numerous immune and inflammatory pathways, elevating the likelihood of depression. The systemic immune-inflammation index (SII) emerges as an innovative prognostic indicator, integrating various peripheral blood immune cell subpopulations, specifically neutrophils, platelets, and lymphocytes. This exploratory study aims to examine the correlation between SII and depression. MethodsData from the 2005–2020 National Health and Nutrition Examination Survey (NHANES) were utilized. Depression was diagnosed with a Patient Health Questionnaire score of 10 or higher. The relationship between log2-SII and depression incidence was analyzed using a restricted cubic spline (RCS). Logistic regression was employed to calculate the odds ratio of depression concerning log2-SII. In cases of non-linearity, piecewise linear models with change points were applied to assess the associations in both the overall population and specific subgroups. Additionally, subgroup analyses were conducted to determine the applicability of the findings to particular populations. ResultsA total of 42,133 participants were included in the study, comprising 49.32 % men and 50.68 % women, with an average age of 47.02 ± 17.45 years. RCS analysis demonstrated a J-shaped non-linear relationship between log2-SII and depression incidence. When log2-SII was ≥8.50, SII showed a positive association with depression incidence, even after adjusting for covariates. Additionally, each unit increase in log2-SII corresponded to an 18 % rise in depression incidence (OR = 1.18, 95 % CI: 1.10–1.27). Subgroup analysis further revealed that the association between SII and depression incidence varied across different populations. LimitationsDue to the cross-sectional nature of NHANES, causality or long-term implications cannot be inferred. Further research is needed to ascertain if a longitudinal relationship exists between SII and depression. ConclusionOur findings suggest a significant and complex non-linear association between SII and depression. However, further basic and prospective studies are necessary to explore SII's impact on depression and clarify its underlying mechanisms. Additionally, these studies will provide a foundation for personalized interventions targeting the immune-inflammatory processes in patients with depression and elevated SII.

Prognostic value of systemic immune-inflammation index in patients with metastatic renal cell carcinoma treated with systemic therapy: a meta-analysis.

A novel systemic immune-inflammation index (SII), based on the neutrophils, lymphocytes, and platelet counts, is associated with the prognosis of several cancers, including non-metastatic renal cell carcinoma (RCC). In the present study, we evaluate the prognostic significance of SII in patients with metastatic RCC (mRCC) treated with systemic therapy. Relevant studies were searched comprehensively from Web of Science, PubMed, Embase and the Cochrane Library up to January 2024. The pooled hazard ratio (HR) and 95% confidence interval (CI) were extracted from each study to evaluate the prognostic value of SII in patients with mRCC treated with tyrosine kinase inhibitor (TKI) or immune checkpoint inhibitor (ICI). A total of 12 studies including 4,238 patients were included in the final analysis. High SII was significantly correlated to poor overall survival (OS, HR = 1.88; 95% CI 1.60-2.21; P < 0.001) and progression-free survival (PFS, HR = 1.66; 95% CI 1.39-1.99; P < 0.001). Stratified by therapy, high SII was also related to the poor OS (TKI: HR = 1.63, P < 0.001; ICI: HR = 2.27, P < 0.001) and PFS (TKI: HR = 1.67, P < 0.001; ICI: HR = 1.88, P = 0.002). In conclusion, high SII could serve as an unfavorable factor in patients with mRCC treated with systemic therapy. Stratified by therapies, the elevated SII was also associated with worse prognosis. Whereas, more prospective and large-scale studies are warranted to validate our findings. https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024522831, identifier CRD42024522831.

Systemic inflammatory biomarkers are novel predictors of all-cause and cardiovascular mortality in individuals with osteoarthritis: a prospective cohort study using data from the NHANES

BackgroundChronic inflammation may contribute to increased mortality risk in individuals with osteoarthritis (OA), but research on the prognostic value of inflammatory biomarkers is limited. We aimed to evaluate the associations of the systemic immune–inflammation index (SII) and systemic inflammation response index (SIRI) with all-cause and cardiovascular mortality among US adults with OA.MethodsThis cohort study included 3545 adults with OA aged ≥ 20 years from the National Health and Nutrition Examination Survey 1999–2020. The SII and SIRI were calculated using complete blood cell count data. Participants were categorized as having a higher or lower SII and SIRI using cutoff points derived by the maximally selected rank statistics method. Cox proportional hazards models, Fine–Gray competing risk regression models and time-dependent receiver operating characteristic (ROC) analysis were used to evaluate the associations between the SII/SIRI and mortality in OA patients.ResultsOver a median follow-up of 5.08 (3.42–9.92) years, 636 (17.94%) deaths occurred, including 149 (4.20%) cardiovascular deaths. According to multivariable-adjusted models involving demographic, socioeconomic, and health factors, OA patients with a higher SII had a twofold greater risk of all-cause mortality than patients with a lower SII (HR 2.01; 95% CI: 1.50–2.68). Similarly, a higher SIRI was associated with an 86% increased risk of all-cause mortality relative to a lower SIRI (HR 1.86; 95% CI: 1.46–2.38). Similar to the trend found with all-cause mortality, patients with an elevated SII and SIRI had a 88% and 67% increased risk of cardiovascular mortality, respectively, compared to patients with a lower SII (HR 1.88; 95% CI: 1.16–3.03) and SIRI (HR 1.67; 95% CI: 1.14–2.44). Time-dependent ROC curves showed that both the SII and SIRI have moderate and valid performance in predicting short- and long-term mortality in patients with OA.ConclusionsHigher SII and SIRI values were associated with greater all-cause and cardiovascular mortality among US adults with OA.

Methamphetamine Use Disorder and Inflammation: A Case-Control Study

Objective Methamphetamine use disorder (MUD) is a global health condition that impairs a person’s health which may result in morbidity and mortality. Inflammation is a crucial process playing a vital role in MUD. For this reason, it is necessary to examine biochemical parameters for follow-up and treatment alternatives.Methods We aimed to reveal the relationship between inflammatory response and MUD by evaluating peripheral hemogram parameters, leukocyte count, subtypes, and their ratios to each other, systemic immune inflammation index (SII), monocyte/high-density lipoprotein (HDL) ratio, and human C-reactive protein (CRP) in adult men with MUD. We included 76 adult male participants in the patient group and 70 adult male participants in the control group. We calculated the neutrophil/lymphocyte rate (NLR), monocyte/lymphocyte rate (MLR), platelet/lymphocyte rate (PLR), and basophil/lymphocyte rate (BLR). In addition, we obtained the SII and the monocyte/HDL rate.Results The patients’ leukocyte (p&lt;0.001), platelet (p&lt;0.001), plateletcrit (PCT) (p=0.002), neutrophil (p&lt;0.001), monocyte (p=0.002), CRP (p&lt;0.001), NLR (p=0.001), PLR (p=0.004), MLR (p=0.009), SII (p&lt;0.001) and monocyte/HDL ratio (p&lt;0.001) were higher than the control group. We observed a significant and positive relationship between the daily methamphetamine intake, and methamphetamine use duration (p=0.002), PCT (p=0.044), neutrophil (p=0.021), NLR (p=0.001), PLR (p=0.004), MLR (p=0.029), and SII (p&lt;0.001). Daily methamphetamine intake had a significant and positive effect on SII. A one-unit increase in daily methamphetamine intake elevated SII by 165.53 units.Conclusion The results confirm the presence of peripheral subclinical inflammation and systemic immune inflammation in adult men with MUD.