High Systemic Immune-inflammation Index Research Articles

Prognostic value of systemic immune-inflammation index for patients undergoing radical prostatectomy: a systematic review and meta-analysis

ObjectiveThe prognostic value of the systemic immune-inflammation index (SII) for prostate cancer (PCa) patients receiving different treatments remains unclear. This research examined the relevance of SII in individuals undergoing radical prostatectomy (RP).MethodsPubMed, Embase, Web of Science, Cochrane, Wanfang, and China National Knowledge Infrastructure (CNKI) dat3 abases were used to search literature up to May 2024. The quality was evaluated with Newcastle-Ottawa Scale. Outcomes examined were associations between SII and overall survival (OS), biochemical recurrence-free survival (BFS), and cancer-specific survival (CSS). Pooled analysis, Egger’s test, and sensitivity analysis were conducted using Review Manager 5.4.1 and Stata 15.1. The GRADE system was employed to evaluate and grade the evidence for each outcome. Subgroup analyses were performed for outcomes with significant heterogeneity to evaluate the possible confounders, if data were sufficient.ResultsOut of 101 identified studies, eight studies involving 8,267 individuals were included. Patients with higher SII had shorter overall survival (HR: 1.89; 95% CI: 1.31-2.71; P = 0.0006), biochemical recurrence-free survival (HR: 1.55; 95% CI: 1.08-2.22; P = 0.02), and cancer-specific survival (HR: 3.63; 95% CI: 1.66-7.94; P = 0.001). The evidence for OS and CSS was rated very low-quality due to serious heterogeneity and/or imprecision. The prognostic value of SII for BFS was rated as low-quality evidence, given no serious risk observed. Subgroup analysis showed that, except for the subgroup aged >65 years (HR: 3.70; 95%CI: 0.91, 15.06, P=0.07), the prognostic value of SII for OS was not significant, but the prognostic value of SII for OS in other subgroups was still significant.ConclusionsHigh SII was linked to shorter OS, BFS, and CSS in patients undergoing RP. However, the quality of the evidence provided by this study was low.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024558431.

Prognostic scores for predicting overall survival in patients with metastatic renal and urothelial cancer undergoing immunotherapy - which one to use?

PurposeEvaluation of the prognostic significance of four different scoring systems in a real-world cohort of patients with metastatic urothelial carcinoma (mUC) or renal cell carcinoma (mRCC) undergoing immunotherapy (IO).MethodsFor 120 patients with mUC (n = 67) and mRCC (n = 53) who received IO between July 2016 and December 2020 at the tertiary Urological University Medical Centre Mannheim, the following scores were recorded at pre-treatment baseline: modified Glasgow prognostic score (mGPS), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-eosinophil ratio (NER). Overall survival (time between the beginning of IO until the patients’ death or last contact) was determined for every patient.ResultsKaplan-Meier analyses revealed that high baseline mGPS, SII (> 979) and NLR (> 3) were associated with poor overall survival (OS) (p < 0.05). Cox proportional hazards regression analyses showed that baseline mGPS and NLR had a significant independent prognostic influence on OS (p < 0.05), of which mGPS had a greater significance (p < 0.001, mGPS Score 2 vs. Score 0: HR 4.1, 95% CI 1.9–8.8). Although a high baseline NER (63.9) was associated with poor OS, it did not reach statistical significance. Baseline NER was also not identified as a significant score in the regression analyses.ConclusionmGPS, SII and NLR are scoring systems that are easy to record in routine clinical practice. As they provide good prediction of OS in patients with mUC and mRCC under IO, they may allow identification of patients at high-risk and monitor them more cautiously in addition to imaging.

Association of systemic immune-inflammatory index with in-stent restenosis in patients with and without diabetes mellitus.

Systemic inflammation plays a vital role in the pathogenesis and prognosis of cardiovascular disease (CAD). The systemic immune-inflammation index (SII) has been developed as a cost-effective and practical predictor for CAD outcomes. This study aimed to determine the association between the SII and the risk of ISR among ACS patients with and without diabetes mellitus (DM). In this retrospective cohort study, a total of 1,652 patients who underwent percutaneous coronary intervention (PCI) from February 2015 to December 2020 and were finally enrolled after follow-up with coronary angiography. The SII was calculated based on neutrophil, platelet and lymphocyte counts. Multivariable logistic regression models were employed to assess the associations between SII and ISR prevalence. Additionally, the interaction test and subgroup analysis were performed to evaluate the robustness of our findings. Furthermore, restricted cubic splines analysis was applied to visualize the relationship between the SII and the risk of ISR. Employing Spearman's rank correlation analysis to investigate the relationship between SII levels and the time to ISR occurrence. In the whole cohort enrolled in this study, 128 (7.7%) participants developed angiographic evidence of ISR. The results demonstrated that the SII level significantly increased in patients with ISR compared to those with non-ISR, and these findings were similar in patients with and without DM. After adjusting for confounders, the multivariate logistic regression analysis revealed that participants with higher SII levels had a significantly increased risk of ISR for diabetics (all P < 0.05), and this significant association was observed in patients with more severe ISR (triple-coronary artery lesions). Additionally, RCS analysis reveals that there is a J-shaped nonlinear correlation between SII and ISR in the entire study cohort with (P for overall <0.001, and P for nonlinearity = 0.0058, respectively). Moreover, a threshold effect can be observed in the entire cohort, with an inflection point at the log2-SII value of 9.276 (SII = 620). Specifically, increased SII was linearly associated with ISR in diabetics (P for overall = 0.0007 and P for nonlinearity = 0.4316, respectively), indicating that the correlation between SII and ISR is stronger in diabetic patients than in those without diabetes. Spearman's rank correlation analysis demonstrated that elevated SII levels are related to earlier ISR onset in diabetics (r = -0.272, P = 0.049). Our study suggests that SII may be an affordable and convenient marker that could be applied to predict the risk of ISR among ACS patients. Moreover, the study emphasized that high SII is an independent predictor of more severe and earlier ISR and may be helpful for patients' risk stratification, especially those with comorbid DM.

Prognostic value of systemic immune-inflammation index in older patients with acute coronary syndrome.

Contemporary studies assessing the importance of the systemic immune-inflammation index (SII) in older patients presenting with acute coronary syndrome (ACS) are scarce. This study investigated the impact and prognostic value of the SII regarding long-term mortality in older patients with ACS. The study included 401 older patients aged 75 years and above admitted with ACS between May 2015 and December 2022. Predictors of mortality were determined using multivariate Cox regression analysis. Survival curves were generated using the Kaplan-Meier method. The patients' median age was 81 (77-85) years, and 197 (49.1%) were male. The median follow-up was 23 months (Q1-Q3 : 4-43, maximum: 102). All short- and long-term deaths, including in-hospital deaths, were significantly high in patients with high SII (P = 0.001). Inflammatory variables, including C-reactive protein, SII, the neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, and platelet-to-lymphocyte ratio, were positively correlated with the SYNTAX score (for SII; R = 0.492, P = 0.001). Multivariate Cox regression analysis revealed that age [hazard ratio (HR): 1.082, 95% confidence interval (CI): 1.051-1.114, P = 0.001], estimated glomerular filtration rate (HR: 0.988, 95% CI: 0.982-0.994, P = 0.001), SII (HR: 1.004, 95% CI: 1.001-1.006, P = 0.001), and left ventricular ejection fraction (HR: 0.959, 95% CI: 0.947-0.97, P = 0.001) were independent predictors of mortality in older patients with ACS. Kaplan-Meier analysis also showed that patients with high SII had a significantly higher mortality rate (P = 0.001). A high SII is an independent predictor of long-term mortality in older patients with ACS.

The prognostic value of systemic immune-inflammation index in patients with unresectable hepatocellular carcinoma treated with immune-based therapy

BackgroundPredicting the efficacy of immune-based therapy in patients with unresectable hepatocellular carcinoma (HCC) remains a clinical challenge. This study aims to evaluate the prognostic value of the systemic immune-inflammation index (SII) in forecasting treatment response and survival outcomes for HCC patients undergoing immune-based therapy.MethodsWe analyzed a cohort of 268 HCC patients treated with immune-based therapy from January 2019 to March 2023. A training cohort of 93 patients received atezolizumab plus bevacizumab (T + A), while a validation cohort of 175 patients underwent treatment with tyrosine kinase inhibitors (TKIs) combined with anti-PD-(L)1 therapy. The SII cutoff value, determined using X-tile analysis based on overall survival (OS) in the training cohort, divided patients into high (> 752*109) and low (≤ 752*109) SII groups. Prognostic factors were identified through univariate and multivariate logistic and Cox regression analyses, and survival outcomes were assessed using Kaplan–Meier methods. The predictive accuracy of SII was evaluated using receiver operating characteristic (ROC) curves.ResultsAn optimal SII cutoff of 752*109 stratified patients into high and low SII groups. Univariate and multivariate logistic regression indicated that SII was a significant predictor of the objective response rate (ORR), which was markedly different between the low and high SII subgroups (34.72% vs. 9.52%, P = 0.019). This finding was consistent in the validation cohort (34.09% vs. 16.28%, P = 0.026). SII also demonstrated prognostic value in Cox regression and Kaplan–Meier analyses. ROC curves confirmed that SII had superior predictive accuracy compared to common clinical indicators, with predictive relevance even in AFP-negative patients. Furthermore, a lower SII was associated with a higher T cell ratio and an increased number of CD8+ T cells and Granzyme B+ CD8+ T cells in peripheral blood.ConclusionSII is a promising predictor of both therapeutic efficacy and prognosis in HCC patients undergoing immune-based treatments. Its application may enhance clinical decision-making, thereby improving patient outcomes from immune-based therapy.

Exploring the correlations between six serological inflammatory markers and different stages of type 2 diabetic retinopathy

To determine the correlations between six serological inflammatory markers, namely the systemic immune-inflammation index (SII), systemic inflammatory response index (SIRI), aggregate index of systemic inflammation (AISI), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR), and various stages of type 2 diabetic retinopathy (T2DR). Additionally, the diagnostic value of these markers in T2DR was evaluated. Clinical data were collected from a total of 397 patients with type 2 diabetes who visited the ophthalmology department at Mian Yang Central Hospital and the Affiliated Hospital of Southwest Medical University from January 2023 to December 2023. Based on the results of fundus photography, patients were categorized into a non-diabetic retinopathy group (NDR, n = 121), a non-proliferative diabetic retinopathy group (NPDR, n = 77), and a proliferative diabetic retinopathy group (PDR, n = 199). General patient information and systemic inflammatory markers, including the SII, SIRI, AIRI, NLR, PLR, and MLR, were compared among the groups, and their correlations with T2DR were analyzed. The SII values were found to be significantly higher in the PDR group compared to the NPDR group, which in turn were higher than those in the NDR group (P < 0.05). Similarly, the AISI values were significantly elevated in the PDR group compared to both the NPDR and NDR groups (P < 0.05). The SIRI and MLR values were significantly higher in the PDR group than in the NDR group (P < 0.05). Furthermore, the NLR and PLR values were significantly higher in the NPDR and PDR groups compared to the NDR group (P < 0.05). The Mantel‒Haenszel chi-square test revealed a significant linear trend between the SII and PLR and the incidence of PDR (P < 0.001), with the incidence of PDR increasing as the quartile levels of the SII and PLR increased. Multivariate logistic regression analysis indicated that, compared with NDR, a higher SII was found to be an independent risk factor for NPDR (ORSII = 1.002, p = 0.001) and PDR (ORSII = 1.002, P < 0.001). The ROC curve analysis suggested that the combined assessment of the six inflammatory indices had the highest accuracy in the evaluation of DR, with an area under the curve (AUC) of 0.69, a sensitivity of 54%, and a specificity of 75%. The results of this study indicate that the SII is an independent risk factor for T2DR. A close correlation was observed between the SII and PLR and the occurrence and progression of T2DR. The high accuracy of the combined diagnosis of T2DR via various serological inflammatory markers underscores their potential as early biological indicators for the diagnosis of T2DR.

Prognostic value of composite inflammatory markers in patients with chronic obstructive pulmonary disease: A retrospective cohort study based on the MIMIC-IV database.

Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory lung disease, and inflammation plays a key role in the pathogenesis of COPD. The aim of this study is to investigate the association between systemic immune inflammation index (SII), systemic inflammatory response index (SIRI),pan-immune inflammation value (PIV), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) and all-cause mortality in patients with chronic obstructive pulmonary disease (COPD), and to evaluate the effect of composite inflammatory markers on the prognosis of COPD patients. We obtained data on COPD patients from the Medical Information Mart for Intensive Care (MIMIC) -IV database and divided patients into four groups based on quartiles of baseline levels of inflammatory markers, The primary outcomes were in-hospital and ICU mortality. We comprehensively explored the association between composite inflammatory markers and mortality in patients with COPD using restricted cubic splints (RCS), COX proportional hazards regression models, Kaplan-Meier curves, receiver operating characteristic (ROC), and subgroup analyses. A total of 1234 COPD patients were included in this study. RCS results showed that SII, SIRI, PLR, PIV and NLR were positively and non-linearly correlated with the increased risk of in-hospital mortality in COPD patients. Multivariate COX regression analysis showed that compound inflammatory markers were independent risk factors for in-hospital mortality in COPD patients. The KM curve results showed that COPD patients with higher SII, SIRI, PLR and PIV had a significantly lower survival probability. 5 kinds of compound between inflammatory markers and mortality in patients with COPD is related to nonlinear correlation, can increase the risk of mortality in patients with COPD is a risk factor for the prognosis of patients with COPD, and may serve as potential biomarkers for clinical COPD risk stratification and treatment management in critical patients.

Systemic Immune-Inflammation Index (SII) and Neutrophil-to-Lymphocyte Ratio (NLR): A Strong Predictor of Disease Severity in Large-Artery Atherosclerosis (LAA) Stroke Patients.

Systemic immune-inflammation index (SII) and neutrophil-to-lymphocyte ratio (NLR) are novel inflammatory markers based on neutrophil, platelet and lymphocyte counts. Atherosclerosis is a chronic inflammatory vascular disease. This study aimed to verify the predictive value of the clinical parameters such as systemic immune-inflammation index (SII) and neutrophil-to-lymphocyte ratio (NLR) for the severity in Large Artery Atherosclerosis (LAA) stroke patients. The SII is defined as platelet × (neutrophil count/lymphocyte count), the NLR is defined as neutrophil count/lymphocyte count. Univariate logistic regression was used to analyze the association between SII and NLR and NIHSS score in patients with LAA stroke. Multiple logistic regression was used to analyze the risk factors for the severity of LAA stroke. We plotted receiver operating characteristic curves to determine the diagnostic role of SII and NLR in differentiating stroke disease severity. We included 283 LAA stroke patients, the SII and NLR in the moderate-to-severe stroke group were significantly higher than the mild stroke group. Multiple logistic regression analysis showed that SII (OR 1.051 95% CI (1.035-1.066), P < 0.001), NLR (OR 1.077,95% CI (1.032-1.123), P < 0.001) were significantly associated with stroke severity. The SII values under the receiver operating characteristic curve (0.701, 95% CI (0.649-0.791, P < 0.001, cut-off value 912.97) and NLR values under the receiver operating characteristic curve (0.604,5% CI (0.519-0.689), P < 0.01, cut-off value 1.461), and SII values had high discrimination ability. Both SII and NLR had high diagnostic and predictive value for stroke severity, and SII was better than NLR. The higher SII and NLR, the more severity in LAA stroke patients. SII and NLR are independent risk factors for LAA stroke, and they can also effectively predict stroke severity; moreover, SII has a higher diagnostic efficacy than NLR. However, multicenter studies with large sample size are still needed to confirm this conclusion.

The prognostic value of the systemic immune inflammation index in patients with IgA nephropathy

Background Immune and inflammatory factors are considered the basic underlying mechanisms of IgA nephropathy (IgAN). The systemic immune inflammation index (SII) is a new inflammatory biomarker and has been identified as a prognostic indicator for various diseases. However, limited studies have been conducted on the prognostic value of the SII in patients with IgAN, and we aimed to address this gap. Methods A total of 374 patients with IgAN confirmed by renal biopsy performed from 1 January 2015 to 1 April 2019, were retrospectively included. The follow-up period of all patients was at least 12 months after diagnosis, and the endpoint was defined as end-stage kidney disease (ESKD). Patients were further divided into a high-risk group (SII ≥ 456.21) and a low-risk group (SII < 456.21) based on the optimal cutoff value of the SII determined by receiver operating characteristic (ROC) curve analysis. Baseline clinicopathological parameters were compared between the groups, and Cox proportional hazards analyses and Kaplan–Meier analysis were performed to assess renal survival in IgAN patients. Results After a median follow-up period of 32.5 months, a total of 53 patients eventually reached ESKD. Patients in the high-SII group tended to have a lower hemoglobin level (p = 0.032) and eGFR (p < 0.001), a higher serum creatinine level (p = 0.023) and 24-hour total protein level (p = 0.004), more severe tubular atrophy and interstitial fibrosis (p = 0.002) and more crescents (p = 0.030) than did those in the low-SII group. Univariate and multivariate Cox regression analyses demonstrated that an SII ≥456.21 was an independent risk factor for poor renal survival in IgAN patients (HR 3.028; 95% CI 1.486–6.170; p = 0.002). Kaplan–Meier analysis revealed that a high SII was significantly associated with poor renal prognosis (p < 0.001) and consistently exhibited remarkable discriminatory ability across different subgroups in terms of renal survival. Conclusion A high SII was associated with more severe baseline clinical and pathological features, and an SII ≥456.21 was an independent risk factor for progression to ESKD in IgAN patients.

Prognostic value of systemic inflammatory markers in renal cell carcinoma with isolated lung metastases: A retrospective analysis

Aim: Metastatic renal cell carcinoma (mRCC) with lung metastases is associated with poor prognosis, and there is a growing interest in systemic inflammatory markers as potential prognostic indicators. This study evaluates the prognostic significance of the Systemic Immune-Inflammation Index (SII), Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to- Lymphocyte Ratio (PLR), and Advanced Lung Cancer Inflammation Index (ALI) in patients with mRCC. Material and Methods: In our retrospective and multicenter study, we analyzed 76 mRCC patients with isolated lung metastases. Clinical data, including demographic characteristics, treatment details, and inflammatory markers, were collected. Patients were stratified according to the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) risk classification. The association of clinical and laboratory parameters with progression-free survival (PFS) and overall survival (OS) was analyzed using Kaplan-Meier curves and Cox proportional hazards models. Results: The median age of the patients was 61 years (IQR: 29-84), with the majority being male (74%) and smokers (57%). High SII, NLR, and PLR were significantly associated with poor IMDC risk classification (p=0.001, p=0.003, and p=0.001, respectively). Multivariate analysis identified age &gt;65 years (HR 3.09, 95% CI 1.3-6.9, p=0.006) and high PLR (HR 5.9, 95% CI 2.2-15.8, p=0.001) as independent predictors of worse OS. ALI was not significantly associated with survival outcomes. Conclusion: Systemic inflammatory markers, particularly SII, NLR and PLR are strongly associated with poor prognosis in mRCC patients with lung metastases. These markers could be integrated into existing prognostic models to improve risk stratification and guide clinical decision-making. Further research is warranted to validate these findings and explore the underlying mechanisms linking systemic inflammation to RCC progression.

Systemic immune-inflammatory index predict short-term outcome in recurrent/metastatic and locally advanced cervical cancer patients treated with PD-1 inhibitor

This study aims to assess the predictive value of certain markers of inflammation in patients with locally advanced or recurrent/metastatic cervical cancer who are undergoing treatment with anti-programmed death 1 (PD-1) therapy. A total of 105 patients with cervical cancer, who received treatment involving immunocheckpoint inhibitors (ICIs), were included in this retrospective study. We collected information on various peripheral blood indices, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), and prognostic nutritional index (PNI). To determine the appropriate cutoff values for these inflammatory markers, we performed receiver operating characteristic curve (ROC) analysis. Progression-free survival (PFS) was estimated using the Kaplan-Meier method, and we conducted both univariate and multivariate Cox regression analyses to evaluate the prognostic value of these markers. Out of the 105 patients who received ICI treatment, the median progression-free survival (mPFS) was 19.0 months. We obtained the patients’ clinical characteristics, such as age, pathological type, therapy regimen, Figo stage, NLR, PLR, LMR, SII, and PNI from their medical records. The optimal cutoff values for NLR, PLR, LMR, SII, and PNI were determined as 3.76, 218.1, 3.34, 1147.7, 43.75, respectively. In the univariate analysis, age, pathological type, therapy regimen, Figo stage, and LMR were not found to be associated with PFS. However, high NLR(P=0.001), high PLR(P<0.001), high SII(P<0.001), and low PNI (P=0.003)were all associated with shorter PFS. Multivariate analysis indicated that SII (P=0.017) was an independent risk factor for PFS. This study highlights the potential use of SII as a predictor of progression-free survival in cervical cancer patients undergoing immunotherapy.

Predictive value of system immune-inflammation index for the severity of coronary stenosis in patients with coronary heart disease and diabetes mellitus

Coronary heart disease (CHD) has been recognized as a chronic progressive inflammatory disorder, and Diabetes mellitus (DM) is an independent risk factor for the pathogenesis of CHD. Recent research has underscored the systemic immune-inflammation index (SII) as a potent prognostic indicator for individuals suffering from acute coronary syndrome (ACS). This study aimed to delve into the relationship between SII and the degree of coronary atherosclerotic stenosis in non-acute myocardial infarction patients with or without DM. We enrolled a total of 2760 patients with cardiovascular disease between November 2023 and May 2024. All eligible participants were divided into the CHD group and the DM & CHD group according to the existence of comorbid DM. Our study revealed that the SII values were significantly higher in diabetic patients with CHD compared to those with CHD alone (P < 0.05). Furthermore, among patients with both CHD and DM, higher SII values were associated with a greater likelihood of developing complex, triple-branch coronary artery lesions, while the opposite trend was observed in CHD populations (P < 0.05). In the regression model completely adjusted for potential confounders, the correlation between high SII levels and co-existing DM status in CHD patients persisted as statistically significant even after attaining guideline-recommended LDL-C and TG goals (P < 0.05). Moreover, our findings demonstrated a significant link between SII levels and the severity of coronary artery stenosis as assessed by coronary angiography, particularly in the DM and CHD patient cohorts (P < 0.05). Further stratified analysis revealed a novel finding that SII levels in DM and CHD patients maintained a positive linear relationship with coronary plaque burden even under stringent glycemic control (P < 0.01, r = 0.37), whereas this correlation was absent in CHD patients who had FBG of 7 mmol/L or lower upon admission (P < 0.01, r < 0.30). These important findings underscore the SII as an independent predictor of the severity of coronary plaque burden in diabetic patients with CHD, offering valuable insights that can aid clinicians in refining risk stratification and implementing personalized management strategies for those at elevated risk.

Role of a new inflammation predictor in predicting recurrence of atrial fibrillation after radiofrequency catheter ablation.

Radiofrequency catheter ablation (RFCA) has become an important strategy for treating atrial fibrillation (AF), and postoperative recurrence represents a significant and actively discussed clinical concern. The recurrence after RFCA is considered closely related to inflammation. Systemic immune inflammation index (SII) is a novel inflammation predictor based on neutrophils, platelets, and lymphocytes, and is considered a biomarker that comprehensively reflects the immune inflammatory status of the body. To explore the predictive effect of the SII on AF recurrence after RFCA and its predictive value in combination with the existing APPLE score for AF recurrence after RFCA in patients with non-valvular AF (NVAF). We retrospectively included 457 patients with NVAF first receiving RFCA and classified them into the recurrent or non-recurrent group. We also investigated the predictive role of SII on AF recurrence following RFCA. Finally, we explored and compared the additional predictive value of the SII after combining with the APPLE score. After 12 months of follow-up, 113 (24.7%) patients experienced recurrence. High SII has been demonstrated to be an independent predictor for postoperative AF recurrence. Receiver operating characteristic and decision curve analysis (DCA), as well as net reclassification improvement (NRI) and integrated discrimination improvement (IDI) results, showed that SII combined with the APPLE score had higher predictive efficiency than using the SII or APPLE score alone. The area under the curve of the combined model (0.662, 95% confidence interval: 0.602-0.722) significantly increased compared with that of the SII and APPLE scores alone (P < 0.001). The combined model resulted in an NRI of 29.6% and 34.1% and IDI of 4.9% and 3.5% in predicting AF recurrence compared with the SII and APPLE scores alone, respectively (all P < 0.001). The SII, APPLE score, and their combination demonstrated greater clinical utility than did the treat-all and treat-none strategies over the 20-80% risk threshold according to the DCA. The SII was a predictor of recurrence after RFCA of AF. Moreover, the SII enhanced the predictability of the APPLE score for post-RFCA AF recurrence, providing valuable insights for physicians to optimise patient selection and develop personalised treatment plans.

Prognostic Value of Blood-Based Inflammatory Markers in Cancer Patients Receiving Immune Checkpoint Inhibitors.

Background: Although immune checkpoint inhibitors (ICIs) have significantly improved cancer treatment, a substantial proportion of patients do not benefit from these therapies, revealing the crucial need to identify reliable biomarkers. Inflammatory markers, such as the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), pan-immune inflammation value (PIV), systemic inflammation response index (SIRI), lactate dehydrogenase (LDH), and C-reactive protein (CRP), may provide insights into treatment outcomes. Objectives: This study aimed to evaluate the prognostic value of multiple inflammatory markers in patients with cancer receiving ICI-based therapies. Methods: A retrospective analysis was performed on 226 patients treated with ICI-based therapies at a single center between 2012 and 2023. The inflammatory markers NLR, PIV, SII, SIRI, LDH, CRP, and albumin were assessed. Cut-off values were determined using maximally selected rank statistics, and overall survival (OS) and progression-free survival (PFS) were evaluated using the Kaplan-Meier method and Cox regression analysis. Results: High NLR, PIV, SII, SIRI, LDH, and CRP, as well as low albumin levels, were associated with worse OS and PFS (p < 0.001). In the multivariate analysis, high CRP, LDH, NLR, PIV, and SII independently predicted worse OS. Conclusions: Our findings confirm the prognostic utility of several inflammatory biomarkers in patients with cancer receiving ICIs, highlighting their potential for treatment stratification. Further studies are necessary to standardize cut-off values and validate these findings across broader, more diverse populations.

Prognostic significance of systemic immune inflammation index in patients with urothelial carcinoma: a systematic review and meta-analysis

ObjectiveThis review assessed the prognostic significance of the systemic immune inflammation index (SII) in patients with urothelial carcinoma.MethodsWe performed a systematic review and cumulative meta-analysis of the primary outcomes according to the PRISMA criteria, and assessed study quality. Seven databases were searched: Embase, PubMed, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfang, and SinoMed, from the creation of each database until October 2024.ResultsThe meta-analysis included 31 studies, including 14,437 patients with urothelial carcinoma. A low SII was significantly associated with better recurrence-free survival (RFS) (HR = 1.37, 95%CI (1.19, 1.56), P &amp;lt; 0.05), cancer-specific survival (CSS) (HR = 1.87, 95%CI (1.50, 2.34), P &amp;lt; 0.05), and overall survival (OS) (HR = 1.42, 95%CI (1.23, 1.64), P &amp;lt; 0.05). In addition, subgroup analysis found that higher SII was associated with poorer prognosis regardless of treatment regimen, tumor type, or SII cutoff, and that high SII was an important prognostic biomarker in the UC population.ConclusionA low SII may be associated with better RFS, CSS, and OS. The SII can be used as a is a potentially noninvasive and promising prognostic indicator for urothelial carcinoma; however, further studies with appropriate designs and larger sample sizes are needed to verify these findings.

Prognostic Role of Neutrophil Percentage-to-Albumin Ratio in Patients with Non-ST-Elevation Myocardial Infarction.

Background and Objectives: This study aimed to investigate whether neutrophil percentage-to-albumin ratio (NPAR) levels on admission have prognostic significance regarding one-year major adverse cardiovascular and cerebrovascular events (MACCEs) in non-ST-elevation myocardial infarction (NSTEMI) patients. Materials and Methods: A total of 464 patients aged 59.2 ± 11.6 years constituted the cohort of this retrospectively designed study. Considering a 1-year follow-up period, the patients were divided into two groups: those with MACCEs and those without. The complete blood count, serum C-reactive protein and serum albumin levels were measured at admission. The NPAR, C-reactive protein/albumin ratio (CAR) and systemic immune-inflammation (SII) index were calculated for all patients, and the associations of these inflammatory-based biomarkers with 1-year MACCEs were evaluated. Results: During the 12-month follow-up period, MACCEs were observed in 75 (16.2%) patients, of which 35 (7.5%) patients died. The patients with MACCEs had higher CRP (p < 0.001), a higher percentage of neutrophils (p < 0.001), lower albumin levels (p < 0.001), a higher CAR (p < 0.001), a higher SII index (p = 0.008) and a higher NPAR (p < 0.001). A high anatomical SxSI score, a high low-density lipoprotein cholesterol level, hypoalbuminemia, high neutrophil counts, a high NPAR level and a high CAR level were independent predictors for one-year MACCEs (all p < 0.05). The NPAR (area under the curve [AUC] = 0.775, p < 0.001) and albumin level (AUC = 0.708, p < 0.001) had better and sufficient discriminatory power and predictive accuracy in determining one-year MACCEs, when compared to the neutrophil (AUC = 0.693, p < 0.001), CAR (AUC = 0.639, p < 0.001) and SII index (AUC = 0.660, p < 0.001), in terms of the receiver operating characteristic curve. The DeLong test revealed that the predictive performance of the NPAR was superior to that of the other inflammatory parameters. In particular, individuals with an NPAR value greater than 17.6 were at greater risk of developing MACCEs (p < 0.001). Conclusions: The NPAR can be used as a newly identified promising inflammatory biomarker to predict one-year MACCEs in NSTEMI patients undergoing revascularization therapy.

Analysis of Risk Factors for Restenosis after Interventional Treatment of Tuberculous Airway Stenosis

Introduction: Airway stenosis is the most common and serious complication of tracheobronchial tuberculosis (TBTB). Systemic anti-tuberculosis treatment is the basic treatment for TBTB airway stenosis, and supplemented with tracheoscopic intervention, it can effectively minimize the occurrence of TBTB stenosis or reduce the degree of stenosis; however, some patients still have restenosis after the intervention. However, some patients still have restenosis after intervention. Methods: We retrospectively collected the clinical data of patients diagnosed with tuberculous airway stenosis in the Second Hospital of Lanzhou University and Lanzhou Pulmonary Hospital from January 2021 to June 2023. The patients were divided into the restenosis group and the non-restenosis group according to whether or not restenosis occurred in the airway within 1 year of the intervention, and the differences in the clinical data between the two groups were compared, and the variables with statistically significant differences in the univariate analysis were analyzed by multifactorial binary logistic regression. Results: A total of 154 patients with tuberculous airway stenosis were included in this study, including 64 patients in the restenosis group, and the restenosis rate was 41.6%. Univariate analysis showed that the systemic immune inflammation index (SII) was higher in the restenosis group than in the non-restenosis group, and the composition of diabetic patients, stenosis length >3 cm, and positive antacid staining of tracheal secretions were higher in the restenosis group than in the non-restenosis group (all p < 0.05). The composition of microscopically inactive, anti-tuberculosis treatment before intervention and balloon dilatation was lower (all p < 0.05). Multifactorial binary logistic regression analysis showed that diabetes (OR = 5.758, 95% CI: 1.434–23.119), stenosis length (OR = 6.349, 95% CI: 2.653–15.197), SII (OR = 1.002, 95% CI: 1.001–1.003), anti-tuberculosis treatment before interventional therapy (OR = 0.250, 95% CI: 0.084–0.746), and TBTB microscopic classification and staging (OR = 0.306, 95% CI: 0.099–0.941) were independent influencing factors of restenosis after interventional therapy for tuberculous airway stenosis. Conclusion: Diabetes, stenosis length >3 cm, and high SII were independent risk factors for restenosis after intervention for tuberculous airway stenosis, before interventional anti-tuberculosis treatment and microscopic inactivity were independent protective factors.

Association Between Systemic Immune-Inflammation Index and Outcomes of Acute Myocardial Infarction: A Systemic Review and Meta-Analysis.

Objective: To assess the link between systemic immune-inflammation index (SII) and risk of major adverse cardiovascular events (MACE), contrast-induced nephropathy (CIN), and overall mortality in patients with acute myocardial infarction (AMI). Patients and Methods: Electronic search of PubMed, EMBASE, Web of Science, and Scopus databases was done for observational studies with the data on the association of SII and outcomes, such as MACE, and CIN in adult (≥18 y) patients with AMI. A random-effects model was used, and the pooled effect sizes were expressed as relative risk (RR) with corresponding 95% confidence intervals (CI). Subgroup analysis was conducted on the basis of the type of AMI (ST elevation myocardial infarction and non-ST elevation myocardial infarction), sample size (≥500 and <500), and study design. GRADE assessment was used to evaluate the certainty of the evidence. Results: The analysis included 23 studies. Most studies were conducted in China (n = 13), followed by Turkey (n = 10). Majority of the studies (n = 20) had a retrospective cohort design. Patients with high SII had increased risk of MACE (RR 2.95, 95% CI: 1.25, 6.99; n = 5, I2 = 97.5%), overall mortality (RR 2.59, 95% CI: 1.64, 4.07; n = 6, I2 = 58.0%), and CIN (RR 4.58, 95% CI: 3.44, 6.10; n = 4, I2 = 0.0%), compared with patients with lower SII. Egger's test detected publication bias for MACE (p = 0.047) and overall mortality (p = 0.012) but not for CIN. These associations remained valid in subgroup analysis. Conclusion: Findings suggest that higher SII in patients with AMI is associated with increased risks of MACE, CIN, and overall mortality. This underscores SII's potential as a prognostic marker in AMI.

Risk factors of disease severity and mechanical ventilation requirement in childhood Guillain-Barré Syndrome.

This study aimed to investigate the risk factors associated with the severity of the disease, the need for mechanical ventilation (MV) and poor prognosis in the early stages of Guillain-Barré Syndrome (GBS). Data of children who met GBS diagnostic criteria were evaluated retrospectively. The sample was divided into three binary subgroups according to severe GBS (Hughes Functional Grading Scale [HFGS] ≥ 4 at admission), mechanical ventilation (MV) requirement, and poor prognosis (inability to walk independently, HFGS ≥ 3 after six months). Various clinical, laboratory and electrophysiological parameters were compared between these subgroups. The mean age of 63 children with GBS was 91.55±49.09 months. 13 (20.6%) patients required MV and 4 (6.3%) patients died. Associated risk factors for the need for MV in severe GBS were found to be autonomic dysfunction, bulbar palsy, sensory impairment, lowest total Medical Research Council (MRC) scale for muscle strength score at admission, high modified Erasmus GBS respiratory failure score (mEGRIS), high neutrophil-lymphocyte ratios (NLR) and high systemic immune-inflammation index (SII) values (p<0.001, p=0.003, p=0.033, p<0.001, p<0.001, p=0.037 and p=0.042, respectively). The lowest total MRC scale for muscle strength score at admission was a significant indicator of poor prognosis (p<0.001). Autonomic dysfunction, bulbar palsy, sensory impairment, lowest total MRC scale for muscle strength score at admission, high mEGRIS score, high NLR and SII values are potential risk factors for the need for MV in children with severe GBS. The lowest total MRC scale for muscle strength score at admission was associated with poor prognosis.

Associations of systemic immune-inflammation index and systemic inflammation response index with maternal gestational diabetes mellitus: Evidence from a prospective birth cohort study.

The role of inflammation in the development of gestational diabetes mellitus (GDM) has recently become a focus of research. The systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI), novel indices, reflect the body's chronic immune-inflammatory state. This study aimed to investigate the associations between the SII or SIRI and GDM. A prospective birth cohort study was conducted at Beijing Obstetrics and Gynecology Hospital from from February 2018 to December 2020, recruiting participants in their first trimester of pregnancy. Baseline SII and SIRI values were derived from routine clinical blood results, calculated as follows: SII=neutrophil (Neut) count×platelet (PLT) count/lymphocyte (Lymph) count, SIRI=Neut count×monocyte (Mono) count/Lymph count, with participants being stratified into quartiles. Follow-up included a 75-g, 2-h oral glucose tolerance test (OGTT) at 20-32weeks of gestation, using the glucose thresholds of the International Association of Diabetes and Pregnancy Study Groups (IADPSG). Logistic regression was used to analyze the odds ratios (ORs) (95% confidence intervals [CIs]) for the SII, SIRI, and GDM risk. Among the 28,124 women included in the study, the average age was 31.8±3.8years, and 15.76% (4432/28,124) developed GDM. Higher SII and SIRI quartiles were correlated with increased GDM rates, with rates ranging from 12.26% (862/7031) in the lowest quartile to 20.10% (1413/7031) in the highest quartile for the SII ( Ptrend <0.001) and 11.92-19.31% for the SIRI ( Ptrend <0.001). The SII and SIRI were positively correlated with GDM risk. The ORs (95% CIs) of the second, third, and fourth SII quartiles were 1.09 (0.98-1.21), 1.21 (1.09-1.34), and 1.39 (1.26-1.54), respectively. The SIRI findings paralleled the SII outcomes. For the second through fourth quartiles, the ORs (95% CIs) were 1.24 (1.12-1.38), 1.41 (1.27-1.57), and 1.64 (1.48-1.82), respectively. These associations were maintained in subgroup and sensitivity analyses. The SII and SIRI are potential independent risk factors contributing to the onset of GDM.