High Systemic Immune-inflammation Index Group Research Articles

Systemic immune-inflammation index and 2-year all-cause mortality in elderly patients with hip fracture

PurposeTo assess the association between systemic immune-inflammation index (SII) and 2-year all-cause mortality in elderly patients with hip fractures. MethodsWe performed a cohort study of hip fracture patients aged 65 years or older who received hip fracture surgery at a tertiary hospital from January 2005 to March 2022. The SII was calculated as: SII = (neutrophil count * platelet count) / lymphocyte count, based on the latest blood test before discharge. Patients were categorized into 3 groups according to SII tertiles: low SII group (≤770.92 × 109/L), medium SII group (770.92 × 109/L -1293.03 × 109/L), and high SII group (>1293.03 × 109/L). The primary outcome was 2-year all-cause mortality. We evaluated the association between SII and 2-year all-cause mortality using the multivariate Cox regression model. ResultsAmong 2,766 patients, 296 patients died during the 2-year follow-up period. The incidence of 2-year all-cause mortality per 1,000 persons was 90.0 (95% CI, 73.2-110.2) in the low SII group, 86.8 (95% CI, 70.3-106.7) in the medium SII group, and 144.3 (95% CI, 123.1-168.5) in the high SII group. Compared with patients in the low SII group, the hazard ratio for 2-year all-cause mortality was 0.97 (95% Cl 0.69-1.37) in the medium SII group and 1.47 (95% Cl 1.07-2.01) in the high SII group (P for trend, 0.001). ConclusionSII is significantly associated with 2-year all-cause mortality in elderly patients with hip fracture. SII may be used to identify patients at high risk of mortality after hip fracture surgery.

Prognostic Value of Preoperative Systemic Immune-Inflammation Index in Non-Metastatic Paediatric Wilms' Tumour Patients Undergoing Upfront Radical Nephrectomy.

To analyse the relationship between the preoperative systemic immune-inflammation index (SII) and the relapse-free survival (RFS) of paediatric patients with Wilms' tumour (WT) after radical surgery, and to establish and validate a prognostic survival model. Observational study. Place and Duration of the Study: Department of Oncologic Surgery, Anhui Children's Hospital of Fudan University, Hefei, China, from January 2013 to August 2023. A retrospective analysis was conducted on 79 WT patients treated with radical resection, with their preoperative SII values computed. The best cut-off for SII was determined through the ROC curve, categorising patients into high and low SII groups. The Kaplan-Meier method and Cox-regression were used for survival analysis. A survival prognostic model was constructed and its predictive capability gauged (AUC of the ROC). The study included 79 WT patients with a median RFS of 65 months and an average of 75.5 ± 3.4 months. The optimal cut-off value for SII was 534.95. The low SII group had a higher RFS (Log-rank: χ2 = 9.380, p = 0.002). Preoperative SII (HR = 3.277, 95% CI: 1.167 - 9.200, p = 0.024), clinical staging (HR = 8.408, 95% CI: 2.604 - 27.147, p <0.001), and tissue differentiation (HR = 2.237, 95% CI: 1.043 - 5.828, p = 0.039) were independent risk factors for RFS. The model's diagnostic performance was 0.749 (95% CI: 0.636 - 0.861). Internal validation showed an AUC of 0.723 (95% CI: 0.608 - 0.838). Lower preoperative SII suggests a more favourable prognosis. The SII-based nomogram efficiently forecasts post-radical surgery prognosis for WT. Wilms' Tumour, Systemic immune-inflammation index, Relapse-free survival, Nomogram.

Prognostic Value of Preoperative Systemic Immune-Inflammation Index in Non-Metastatic Paediatric Wilms' Tumour Patients Undergoing Upfront Radical Nephrectomy.

To analyse the relationship between the preoperative systemic immune-inflammation index (SII) and the relapse-free survival (RFS) of paediatric patients with Wilms' tumour (WT) after radical surgery, and to establish and validate a prognostic survival model. Observational study. Place and Duration of the Study: Department of Oncologic Surgery, Anhui Children's Hospital of Fudan University, Hefei, China, from January 2013 to August 2023. A retrospective analysis was conducted on 79 WT patients treated with radical resection, with their preoperative SII values computed. The best cut-off for SII was determined through the ROC curve, categorising patients into high and low SII groups. The Kaplan-Meier method and Cox-regression were used for survival analysis. A survival prognostic model was constructed and its predictive capability gauged (AUC of the ROC). The study included 79 WT patients with a median RFS of 65 months and an average of 75.5 ± 3.4 months. The optimal cut-off value for SII was 534.95. The low SII group had a higher RFS (Log-rank: χ2 = 9.380, p = 0.002). Preoperative SII (HR = 3.277, 95% CI: 1.167 - 9.200, p = 0.024), clinical staging (HR = 8.408, 95% CI: 2.604 - 27.147, p <0.001), and tissue differentiation (HR = 2.237, 95% CI: 1.043 - 5.828, p = 0.039) were independent risk factors for RFS. The model's diagnostic performance was 0.749 (95% CI: 0.636 - 0.861). Internal validation showed an AUC of 0.723 (95% CI: 0.608 - 0.838). Lower preoperative SII suggests a more favourable prognosis. The SII-based nomogram efficiently forecasts post-radical surgery prognosis for WT. Wilms' Tumour, Systemic immune-inflammation index, Relapse-free survival, Nomogram.

Predicting the prognosis of patients with renal cell carcinoma based on the systemic immune inflammation index and prognostic nutritional index

The aim of the study was to analyze and discuss the value of preoperative systemic immune inflammation index (SII) and prognostic nutritional index (PNI) in predicting the prognosis of patients with renal cell carcinoma (RCC) after operation, and to establish a nomogram prediction model for patients with RCC after operation based on SII and PNI. From January 2014 to December 2018, 210 patients with RCC who underwent surgical treatment at the Xuzhou Central Hospital were selected as the research object. The receiver operating characteristic curve (ROC) was used to determine the optimal cut-off value for preoperative SII, PNI, LMR, PLR, NLR and the patients were divided into groups according to the optimal cutoff values. The survival rate of patients was evaluated. The risk factors that affect the prognosis of patients with RCC were determined by LASSO and Cox regression analysis, and a prognostic nomogram was constructed based on this result. The bootstrap method was used for internal verification of the nomogram model. The prediction efficiency and discrimination of the nomogram model were evaluated by the calibration curve and index of concordance (C-index), respectively. The average overall survival (OS) of all patients was 75.385 months, and the 1-, 2-and 3-year survival rates were 95.5%, 86.6% and 77.2%, respectively. The survival curve showed that the 5-year OS rate of low SII group was significantly higher than that of high SII group (89.0% vs. 64.5%; P < 0.05), and low PNI group was significantly lower than those in high PNI group (43.4% vs. 87.9%; p < 0.05). There were significant differences between preoperative SII and CRP, NLR, PLR, LMR, postoperative recurrence, pathological type and AJCC stage (P < 0.05). There were significant differences between preoperative PNI and BMI, platelet, NLR, PLR, LMR, postoperative recurrence, surgical mode and Fuhrman grade (P < 0.05). The ROC curve analysis showed that the AUC of PNI (AUC = 0.736) was higher than that of other inflammatory indicators, followed by the AUC of SII (0.718), and the difference in AUC area between groups was statistically significant (P < 0.05). The results from multivariate Cox regression analysis showed that SII, PNI, tumor size, tumor necrosis, surgical mode, pathological type, CRP, AJCC stage and Fuhrman grade were independent risk factors for postoperative death of patients with RCC. According to the results of Cox regression analysis, a prediction model for the prognosis of RCC patients was established, and the C-index (0.918) showed that the model had good calibration and discrimination. The subject’s operating characteristic curve indicates that the nomogram has good prediction efficiency (the AUC = 0.953). Preoperative SII and PNI, tumor size, tumor necrosis, surgical mode, pathological type, CRP, AJCC stage and Fuhrman grade are closely related to the postoperative prognosis of patients with renal cell carcinoma. The nomogram model based on SII, PNI, tumor size, tumor necrosis, surgical mode, pathological type, CRP, AJCC stage and Fuhrman grade has good accuracy, discrimination and clinical prediction efficiency.

The Systemic Immune-Inflammation Index is a Predictor of Chemotherapy Sensitivity and Disease-Free Survival in Patients With Hormone Receptor-Positive Human Epidermal Growth Factor Receptor 2-Negative Breast Cancer

BackgroundThe relationship between the systemic immune-inflammation index (SII), chemotherapy sensitivity, and prognosis in HR+HER2– breast cancer (BC) has not been extensively studied. Patients and methodsClinical data from 980 patients diagnosed with HR+HER2– BC between June 2012 and June 2016 were collected. Patients were divided into low- and high-SII groups according to median SII value. Differences among variables were assessed using the chi-squared test. The inverse probability of treatment weighting (IPTW) method was used to control bias. The associations between clinicopathological factors, baseline SII, and disease-free survival (DFS) were analyzed using Kaplan–Meier curves and Cox analyses. ResultsThe median follow-up period was 37 months (5-77). 480 patients underwent neoadjuvant chemotherapy, and low baseline SII values were associated with higher pathological complete response (pCR) rates than those in the high SII group (16.4% vs. 9.2%; P = .019). Multivariate analyses revealed that larger tumor size, more lymph node involvement, high Ki-67 score, and high baseline SII were independent prognostic factors for worse outcomes in patients with HR+HER2– BC. The risk for metastasis/recurrence was higher in the high SII group compared with that in the low SII group (hazard ratio 2.07 [95% CI, 1.35-3.19]; P = .001). After IPTW, a similar result was obtained, in that a high SII value was significantly associated with worse DFS among patients with HR+HER2– BC. ConclusionA low baseline SII was associated with higher pCR rates after neoadjuvant chemotherapy and was an independent prognostic factor for better DFS outcomes in patients with HR+HER2– BC.

Prognostic model for predicting recurrence in hepatocellular carcinoma patients with high systemic immune-inflammation index based on machine learning in a multicenter study.

This study aims to use machine learning to conduct in-depth analysis of key factors affecting the recurrence of HCC patients with high preoperative systemic immune-inflammation index (SII) levels after receiving ablation treatment, and based on this, construct a nomogram model for predicting recurrence-free survival (RFS) of patients. This study included clinical data of 505 HCC patients who underwent ablation therapy at Beijing You'an Hospital from January 2014 to January 2020, and accepted 65 HCC patients with high SII levels from Beijing Ditan Hospital as an external validation cohort. 505 patients from Beijing You'an Hospital were divided into low SII and high SII groups based on the optimal cutoff value of SII scores. The high SII group was further randomly divided into training and validation cohorts in a 7:3 ratio. eXtreme Gradient Boosting (XGBoost), random survival forest (RSF), and multivariate Cox regression analysis, were used to explore the factors affecting the post-ablation RFS of HCC patients. Based on the identified key factors, a nomogram model were developed to predict RFS in HCC patients, and their performance were evaluated using the concordance index (C index), receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA). The optimal cutoff value for nomogram scores was used to divide patients into low- and high-risk groups, and the effectiveness of the model in risk stratification was evaluated using Kaplan-Meier (KM) survival curves. This study confirmed that age, BCLC stage, tumor number, and GGT level were independent risk factors affecting RFS in HCC patients. Based on the selected risk factors, an RFS nomogram was successfully constructed. The C-index, ROC curve, calibration curve, and DCA curve each demonstrated the discrimination, accuracy, and decision-making utility of the nomogram, indicating that it has good predictive performance. KM curve revealed the nomogram could significantly differentiate patient populations with different recurrence risk. We developed a reliable nomogram that can accurately predict the 1-, 3-, and 5-year RFS for HCC patients with high SII levels following ablation therapy.

Inflammation and Colorectal Cancer: A Meta-Analysis of the Prognostic Significance of the Systemic Immune-Inflammation Index (SII) and the Systemic Inflammation Response Index (SIRI).

The overall prognosis for colorectal cancer (CRC) remains challenging as the survival time varies widely, even in patients with the same stage of disease. Recent studies suggest prognostic relevance of the novel markers of systemic inflammation, the systemic immune-inflammation index (SII), and the systemic inflammation response index (SIRI). We conducted a comprehensive meta-analysis to assess the prognostic significance of the SII and the SIRI in CRC. We searched the relevant literature for observational studies, and random effects models were employed to conduct a statistical analysis using the metaanalysisonline.com platform. Pooled effect sizes were reported with hazard ratios (HRs) and corresponding 95% confidence intervals (CI). Data from 29 studies published between 2016 and 2024, comprising 10,091 participants, were included in our meta-analysis on SII. CRC patients with high SII levels had worse disease outcomes, which were associated with poor OS (HR: 1.75; 95% CI: 1.4-2.19) and poor PFS/DFS/RFS (HR: 1.25; 95% CI: 1.18-1.33). This increased risk of worse OS was present irrespective of the treatment strategy, sample size (<220 and ≥220), and cutoff used to define high and low SII (<550 and ≥550) groups. Based on data from five studies comprising 2362 participants, we found a strong association between the high SIRI and worse OS (HR: 2.65; 95% CI: 1.6-4.38) and DFS/RFS (HR: 2.04; 95% CI: 1.42-2.93). According to our results, both the SII and SIRI hold great promise as prognostic markers in CRC. Further validations are needed for their age- and stage-specific utility in the clinical routine.

Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, Systemic Immune Inflammation Index and Efficacy of Remote Ischemic Conditioning in Acute Ischemic Stroke: A Post Hoc Exploratory Analysis of the RICAMIS Study.

We conducted a post-hoc analysis of the RICAMIS trial to investigate the effect of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) on the efficacy of remote ischemic conditioning treatment. In this post-hoc analysis, NLR, PLR, and SII were measured before randomization. Patients were divided into two groups based on their cut-off values: high vs low NLR, high vs low PLR, and high vs low SII groups. Each group was further subdivided into RIC and control groups. The primary endpoint was a poor outcome (mRS 2-6 at 90 days). Differences in the primary endpoint between the RIC and control subgroups were compared, and the interactions of treatment assignment with NLR, PLR, and SII were evaluated. A total of 1679 patients were included in the final analysis. Compared with the control group, RIC significantly improved functional outcomes regardless of the inflammation status. The improved probability of poor outcome in the RIC vs control group was numerically greater in the high vs low inflammation group (NLR, 7.8% vs 5.1%; PLR, 7% vs 6.5%; SII, 9% vs 5.3%). However, we did not find an interaction effect of an intervention (RIC or control) with different NLR, PLR, or SII on clinical outcomes (P > 0.05). In addition, the NLR and SII were independently associated with functional outcomes in all patients, regardless of whether they received RIC. Inflammation may not affect the efficacy of RIC in patients with acute moderate ischemic stroke, although a lower probability of poor outcome at 90 days was identified in patients with a high vs low inflammatory status.

A High Immediate Postoperative Systemic Immune-inflammation Index Is Associated With Postoperative Symptomatic Cerebral Infarction in Moyamoya Patients Undergoing Combined Revascularization Surgery.

Inflammation plays a role in the pathogenesis of cerebral infarction. Postoperative symptomatic cerebral infarction (SCI) is a complication after revascularization surgery in patients with moyamoya disease (MMD). We investigated the association between the systemic-immune-inflammation index (SII) and postoperative SCI during hospital stay in such patients. Perioperative data were retrospectively obtained from 681 MMD patients who underwent revascularization surgery. SII cutoff values were identified as those where the sum of sensitivity and specificity associated with SCI were highest. Patients were divided into 4 subgroups according to the preoperative and immediate postoperative cutoff SII: HH (preoperative and postoperative SII high, n=22), LH (low preoperative and high postoperative SII, n=68), HL (high preoperative and low postoperative SII, n=125), and LL (preoperative and postoperative SII low, n=466). Postoperative SCI occurred in 54 (7.6%) patients. The cutoff values for preoperative and immediate postoperative SII were 641.3 and 1925.4, respectively. Postoperative SCI during hospital stay was more frequent in the high postoperative SII group than in the low postoperative SII group (25.6% vs. 4.9%; P<0.001). Multivariate analysis revealed that a high immediate postoperative SII was a predictor of postoperative SCI (odds ratio, 11.61; 95% CI: 5.20-26.00; P<0.001). Postoperative SCI was lower in group LL than in group LH (3.6% vs. 23.5%, P<0.008) and was lower in group HL than in groups HH and LH (9.6% vs. 31.8% and 23.5%, both P<0.05). A high immediate postoperative SII was associated with postoperative SCI during hospital stay in MMD patients who underwent revascularization surgery.

Pre-treatment systemic inflammation response index and systemic immune inflammation in patients with primary central nerve system lymphoma as a useful prognostic indicator.

The systemic inflammation response index (SIRI) and systemic immune-inflammation index (SII) are based on neutrophil, monocyte, platelet, and lymphocyte counts. The SIRI and SII are used to predict the survival of patients with malignant tumors. It is well known that the inflammatory immune response is closely related to cancer occurrence and progression. In the present study, we evaluated the potential prognostic significance of SIRI and SII in patients with primary central nervous system lymphoma (PCNSL). Fifty-eight consecutive patients were enrolled in this study between November 2006 and May 2022. Among the 58 patients, 47 patients with sufficient blood test data and follow-up were analyzed. The patients with steroid intake at the time point of the blood test and higher C-reactive protein were excluded. The median follow-up and survival times were 31 and 36months, respectively. The optimal cutoff SIRI value was based on the receiver operating characteristic curve (ROC) for overall survival (OS) and stratified patients into low (< 1.43 × 109/L, n = 22) and high (≥ 1.43 × 109/L, n = 25) SIRI groups. The optimal cutoff SII value based on the ROC for OS stratified patients into low (< 694.9, n = 28) and high (≥ 694.9, n = 19) SII groups. A low SIRI value was associated with longer OS (p = 0.006). Furthermore, a low SII value was associated with longer OS (p = 0.044). The prognostic factors associated with prolonged survival in univariate analysis using the Cox proportional hazard model were age < 65years, low SIRI, and low SII. The multivariate analysis demonstrated that age < 65years and low SIRI independently predicted longer OS. Simple, less expensive, and routinely ordered preoperative blood count assessments such as SIRI and SII predict the OS of patients with PCNSL. This study demonstrated that PCNSL is associated with pre-treatment systemic immune-inflammation states.

Systemic Immune-Inflammation Index and Its Association with the Prevalence of Stroke in the United States Population: A Cross-Sectional Study Using the NHANES Database.

The purpose of this study was to evaluate the ability of the systemic immune-inflammation index (SII) to predict the prevalence of stroke in the American population. A cross-sectional research study of 53,600 people was carried out utilizing information from the U.S. National Health and Nutrition Examination Survey (NHANES) database. Participants were divided into three groups based on the tertiles of their SII levels: SII-low, SII-median, and SII-high. Logistic regression analysis was used to investigate SII and the prevalence of stroke. Subgroup analyses, sensitivity analyses, and restricted cubic spline (RCS) analysis were also carried out. A total of 2368 patients with stroke were found among the participants in this cross-sectional study. The high SII group had a substantially greater prevalence of stroke compared to the low SII group (odds ratio [OR] = 1.18, 95% confidence interval [CI] 1.01, 1.42). The risk of stroke decreased by 34% for every unit rise in log-transformed SII (OR 1.30, 95% CI 0.99, 1.70). A positive linear connection between SII levels and the prevalence of stroke was revealed using RCS analysis (p for non-linearity = 0.387). This cross-sectional study utilizing large-scale data from NHANES provides the first evidence of a significant association between higher SII levels and increased prevalence of stroke. These findings highlight the relevance of SII as a potential predictive marker for stroke.

The predictive role of systemic immune-inflammation index in non-ischemic cardiomyopathy

Aims: The systemic immune-inflammation index (SII), a useful marker of systemic inflammation, has been shown to be associated with cardiovascular diseases in previous studies. Inflammation is known to have a significant role in heart failure, but no study has evaluated the relationship between inflammatory parameters and prognosis in patients with non-ischemic cardiomyopathy (NICM). This study aimed to explore the relationship between SII and long-term mortality in patients with non-ischemic cardiomyopathy.&#x0D; Methods: The study enrolled 326 consecutive patients with NICM. The median 25-month follow-up mortality results of the patients were recorded retrospectively. SII, a combined index based on the count of three parameters, was calculated as follows: neutrophil count x platelet count/lymphocyte count. Patients with a higher SII value than the median SII were accepted as having a high SII, and the remaining patients were defined as having a low SII. The survival curves of the patients with high and low SII values during the study period were analyzed using the Kaplan-Meier method.&#x0D; Results: The mean age of the participants was 46.6 years. The mean SII value was 598.4 in patients without mortality and 722.7 in those with mortality. In the multivariate logistic regression analysis, SII was found to be an independent predictor of mortality. The median SII value of the patients who participated in the study was 644. Upon dividing the patients into two groups according to the median SII value, the mortality rate was determined to be 48.4% in the high SII group and 27.4% in the low SII group.&#x0D; Conclusion: High SII values were observed to be associated with long-term mortality in patients with NICM. SII, which is easily accessed and simply calculated, can be used to predict mortality risk in these patients. Prospective and larger cohort studies are needed to clarify the causality of this relationship.

Systemic immune-inflammation index predicts the clinical outcomes in patients with acute uncomplicated type-B aortic dissection undergoing optimal medical therapy

BackgroundOptimal medical therapy (OMT) for uncomplicated type B aortic dissection (uTBAD) provides excellent short-term outcomes during follow up; however, its long-term therapeutic effectiveness is unsatisfactory. This study evaluated the predictive value of systemic immune-inflammation index (SII) for adverse events among patients with acute uTBAD undergoing OMT.MethodsWe performed a retrospective analysis of a prospectively maintained database between 2013 and 2020. The primary end point in this study was composite outcomes including aortic intervention, all-cause mortality, retrograde type A aortic dissection (rTAAD) and aortic diameter growth > 5 mm. The patients were divided into high and low SII groups according to the optimal cut-off value of SII as determined using the receiver operating characteristic curve. Cox proportional hazards models were constructed to estimate the hazards ratios and identify the predictors of composite outcomes.ResultsA total of 124 patients with acute uTBAD who underwent OMT were enrolled. One patient died during hospitalisation. At the end of a mean follow-up duration of 51 ± 23 months, 53 (43.1%) patients experienced composite outcomes, 15 patients (12.2%) died, 31 (25.2%) underwent aortic intervention, 21 (17.1%) exhibited diameter growth of > 5 mm, and 2 developed rTAAD. The patients were divided into low SII group (n = 78, 62.9%) and high SII group (n = 46, 37.1%) as per the optimal cut-off SII value of 1449. The incidence of composite outcomes in high SII group was significantly higher than that in low SII (28 [60.9%] vs. 26[33.3%], p < 0.01). Patients with high SII demonstrated significantly higher mortality rate than those with a low SII (11 [23.9%] vs. 5 [6.4%], respectively; p < 0.01). In addition, the high SII group had significantly higher rate of aortic-related reinterventions than the low SII group (16 [34.8%] vs. 15 [19.2%], p = 0.03). Multivariable Cox analyses showed that a high SII score was independently associated with composite outcomes rate (hazard ratio, 2.15; 95% confidence interval, 1.22–3.78; p < 0.01).ConclusionsThe long-term therapeutic effectiveness of OMT alone in patients with acute uTBAD is unsatisfactory. An SII > 1449 at the time of diagnosis is an independent predictor of OMT failure.

Elevated postoperative systemic immune-inflammation index associates with acute kidney injury after cardiac surgery: a large-scale cohort study.

To investigate whether postoperative systemic immune-inflammation index (SII) is associated with acute kidney injury (AKI) after cardiac surgery. We included patients undergoing cardiac surgery from the Medical Information Mart for Intensive Care-Ⅳ database to conduct a retrospective cohort study. The outcomes are AKI, severe AKI, and 30-day mortality after cardiac surgery. Analytical techniques including receiver operating characteristic (ROC) analysis, restricted cubic splines (RCS), and multivariable logistic regression were used to assess the association between SII and outcomes. Sensitivity analyses using inverse probability of treatment weighting (IPTW) and the E-value were conducted to validate the stability of the results. 3,799 subjects were included in this study. We used ROC to calculate an optimal cutoff value for predicting AKI after cardiac surgery, and subsequently patients were divided into two groups based on the cutoff value (Low SII: ≤ 949 × 109/L; High SII: > 949 × 109/L). ROC showed moderately good performance of SII for predicting AKI, while RCS also indicated a positive association between SII and AKI. The multivariate logistic analysis further affirmed the heightened risk of AKI in patients in the high SII group (OR, 5.33; 95%CI, 4.34-6.53; P < 0.001). Similar associations were observed between SII and severe AKI. Sensitivity and subgroup analyses indicated the robustness of the findings. Elevated SII was independently associated with a higher risk of AKI in adults undergoing cardiac surgery. The potential causal relationship between postoperative SII and cardiac surgery associated AKI warrants prospective research.

Prognostic value of systemic inflammation response index in hepatoblastoma patients receiving preoperative neoadjuvant chemotherapy.

Inflammation is closely associated with tumor development and patient prognosis. The objective of this study is to assess the prognostic value of the preoperative inflammatory indexes in pediatric hepatoblastoma patients who receive neoadjuvant chemotherapy. A retrospective analysis was performed on clinical and pathological data of 199 hepatoblastoma patients who underwent hepatectomy with preoperative neoadjuvant chemotherapy from January 2015 to June 2020. The receiver operating characteristic curve was used to evaluate the prognostic value of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) in predicting OS and EFS. Patients were grouped based on optimal cutoff values of preoperative inflammatory indexes. Survival rates were calculated using the Kaplan-Meier method, and survival outcomes were compared between groups using the log-rank test. Univariate and multivariate Cox proportional hazards regression models were used to identify independent prognostic factors, and a nomogram was constructed using R software to predict the probability of OS. The receiver operating characteristic curve showed prognostic value for OS, not EFS, in preoperative inflammatory indexes. Patients were categorized into low/high groups: SII ≤ 266.70/higher, NLR ≤ 1.24/higher, PLR ≤ 85.25/higher, and SIRI ≤ 0.72/higher. High NLR, PLR, SII, and SIRI groups had significantly lower 5-year OS than their low counterparts (all p-value < 0.05). The Cox analysis identified four independent prognostic factors: SIRI (HR=2.997, 95% CI: 1.119-8.031), microvascular invasion (HR=2.556, 95% CI: 1.14-5.73), the post-treatment extent of disease (POSTTEXT) staging (IV vs. I: HR=244.204, 95% CI:11.306-5274.556), and alpha-fetoprotein (>100 ng/ml: HR=0.11, 95% CI: 0.032-0.381) for hepatoblastoma patients with neoadjuvant chemotherapy. High SIRI group had more patients with adverse NLR, SII, and POSTTEXT III (all p-value < 0.05). Independent prognostic factors led to an OS nomogram with a concordance index of 0.85 (95% CI: 0.78-0.91, p-value = 1.43e-27) and the calibration curve showed a good fit between the prediction curve and the true curve. SIRI is an independent prognostic factor of hepatoblastoma patients receiving neoadjuvant chemotherapy. The OS nomogram based on SIRI, POSTTEXT staging, MiVI, and AFP can be used to assess the prognosis of those patients.

Preoperative Systemic Immune-Inflammation Index is a Potential Biomarker in Adult Patients with High-Grade Gliomas Undergoing Radical Resection.

Increasing evidence has highlighted that systemic immune-inflammation index (SII), a recently developed prognostic biomarker that utilizes peripheral platelet, lymphocyte and neutrophil counts, is associated with unfavorable prognosis in various tumors. Nevertheless, the prognostic significance of SII in high-grade gliomas patients undergoing radical resection remains unclear. Therefore, the present study aimed to assess the potential of SII as a prognostic biomarker in this patient population. A total of 111 adult patients with high-grade gliomas who underwent radical resection were consecutively enrolled in this investigation. The study involved the categorization of patients into high and low SII groups using predetermined cut-off values. Subsequently, forward stepwise logistic regression was employed to identify autonomous predictors for early gliomas recurrence. To mitigate the impact of confounding factors, a propensity score matching (PSM) analysis was performed between high and low SII patients. Finally, the Kaplan-Meier approach was utilized to compare the progression-free survival (PFS) and overall survival (OS) of the two groups. The study involved the categorization of patients into two groups based on their SII levels, namely high SII (> 604.8) and low SII (≤ 604.8) groups. Forward stepwise logistic regression revealed that high SII (p < 0.001) and tumor size ≥ 50 mm (p < 0.001) were significantly related to early recurrence of gliomas. Furthermore, the results indicate that PFS and OS were significantly shorter in the high SII group compared to the low SII group, both before and after PSM (p < 0.05). Preoperative biomarker SII can serve as a prognostic biomarker for early recurrence and prognosis in patients with high-grade gliomas undergoing radical resection. Furthermore, the combination of tumor size and SII demonstrates a robust predictive capacity for early recurrence and prognosis in this patient population.

High Systemic Immune-Inflammation Index, Predicting Early Allograft Dysfunction, Indicates High 90-Day Mortality for Acute-On-Chronic Liver Failure after Liver Transplantation

Introduction: The aim of the study was to investigate the relationship between systemic immune-inflammation index (SII) and early allograft dysfunction (EAD) and 90-day mortality after liver transplantation (LT) in acute-on-chronic liver failure (ACLF). Methods: Retrospective record analysis was done on 114 patients who had LT for ACLF. To identify the ideal SII, the receiver operating characteristic curve was used. The incidence of EAD and 90-day mortality following LT were calculated. The prognostic value of SII was assessed using the Kaplan-Meier technique and the Cox proportional hazards model. Results: The cut-off for SII was 201.5 (AUC = 0.728, p < 0.001). EAD occurred in 40 (35.1%) patients of the high SII group and 5 (4.4%) patients of the normal SII group, p < 0.001. 18 (15.8%) deaths occurred in the high SII group and 2 (1.8%) deaths occurred in the normal SII group, p = 0.008. The multivariate analysis demonstrated that SII ≥201.5, MELD ≥27 were independent prognostic factors for 90-day mortality after LT. Conclusion: SII predicts the occurrence of EAD and is an independent risk factor for 90-day mortality after LT.

Dynamic change of the systemic immune inflammation index is a risk factor for patients with oropharyngeal cancer: a case control study and an additional HPV-status subgroup analysis

BackgroundThe study aimed to analyze the relationship between the dynamic systemic immune inflammation index (SII), human papillomavirus (HPV) infection, and the prognosis of oropharyngeal cancer patients.MethodWe retrospectively obtained the data for 131 patients treated with curative treatments and calculated their SII values based on results acquired approximately 9 months after the first treatment. The entire cohort was divided into groups according to dynamic SII and HPV infection, and their prognoses were compared.ResultsThe high SII group, particularly the persistently high SII group, had a poor prognosis, and static SII levels cannot fully reflect the prognosis of patients with oropharyngeal cancer. In HPV− patients, unfavorable dynamic SII and the site of tumor locating at the tongue base were all significantly associated with decreased disease-free survival. In contrast, no characteristic was presented as a poor prognostic factor for disease-free or overall survival in HPV+ patients.ConclusionDynamic SII values are more comprehensive prognostic indicators for oropharyngeal cancer patients, particularly HPV− patients. It could imply that an HPV− oropharyngeal cancer patient who experienced unfavorable dynamic changes in SII should receive more frequent tests or more advanced therapies.

Association between systemic immune-inflammation index and risk of lower extremity deep venous thrombosis in hospitalized patients: a 10-year retrospective analysis.

The systemic immune-inflammation index (SII), as a novel inflammatory biomarker, has recently attracted attention in cardiovascular disease research. However, the relationship between SII and risk of lower extremity deep venous thrombosis (LEDVT) remains unclear to date. Thus, this study aimed to explore the association in a large sample over a 10-year period (2012-2022). All hospitalized patients undergoing lower extremity compression ultrasonography (CUS) examination were consecutively screened by searching our hospital information system database. The receiver operating characteristic (ROC) curve analysis was used to identify the optimal cut-off value for high and low SII group. Multivariate logistic regression analyses were performed to investigate the relationship between SII and LEDVT risk. Propensity score matching (PSM), subgroup and sensitivity analyses were also conducted. Moreover, restricted cubic spline (RCS) regression and two-piecewise linear regression models were used to assess the dose-response relationship between natural log transformed SII [ln(SII)] and risk of LEDVT. A total of 16,725 consecutive hospitalized patients were included, and 1,962 LEDVT events occurred. After adjusting for confounding factors, patients in the high SII group (≥ 574.2 × 109/L) showed a 1.740-fold risk of LEDVT (95% CI: 1.546-1.959, P < 0.001), and elevated ln(SII) was associated with a 36.1% increased risk of LEDVT (95% CI: 1.278-1.449, P < 0.001). PSM, subgroup and sensitivity analyses confirmed the robustness of the association. A non-linear relationship was observed (P non-linear < 0.001), with a threshold value of 5.6 × 109/L for all LEDVT events. Above the threshold, each unit increase in ln(SII) had a 1.369-fold higher risk of LEDVT (95% CI: 1.271-1.475, P < 0.001). The association also existed in both distal and proximal LEDVT. Elevated SII is significantly associated with an increased risk of LEDVT in hospitalized patients. Additionally, the association is non-linear and exhibit a threshold effect.

Impact of systemic immune-inflammation index in patients with limited-stage small cell lung cancer.

e20626 Background: The systemic immune-inflammation index (SII) has been suggested as a prognostic marker in several solid malignant neoplasms. However, there are few studies on the prognostic value of SII in patients with limited-stage SCLC. This study explored the impact of SII on overall survival (OS) and progression-free survival (PFS) in patients with limited-stage small cell lung cancer, and compared the predictive ability of SII and platelet/lymphocyte ratio (PLR) to find a better prognostic marker. Methods: In total, 572 patients with new diagnosis of limited-stage SCLC were included in this study. The optimal threshold of SII and PLR were determined using the outcome(OS)-based method by maximizing the log-rank test statistic and the survival differences.The predictive ability of SII and PLR were compared by drawing the continuous time-dependent receiver operating characteristic curves (time-dependent ROC). Logistic multivariable analysis was performed to identify factors associated with high SII. Propensity score matching (PSM) was used to balance confounders between groups and adjust observed selection bias. Kaplan-Meier methods and Cox proportional hazards models were used to assess the impact of pre-treatment SII on OS and PFS. Results: The median age of the whole group was 60.0 (25.0-81.0) years, and the median follow-up time was 56.5 (2.5-95.4) months. The optimal cutoff value of SII and PLR were 760.6 and 137.3, respectively. The area under the time-dependent ROC curves of SII and PLR in 1-, 2- and 3-year were 0.727, 0.708, 0.680 and 0.680, 0.669, 0.649, respectively. The high SII group was correlated with pleural effusion (P = 0.001), T stage (P = 0.009), N stage (P = 0.048), and pretreatment serum sodium (P = 0.003). The median OS and PFS of the whole group was 26.0 months (95%CI 23.8-28.2) and 13.0 months (95%CI 11.3 -14.7), and the 1-, 3-, 5-year OS rates and the 1-, 3-, 5-year PFS rates were 81.1%, 35.5%, 27.1% and 52.8%, 24.8%, 19.9%, respectively.There were 414 patients after PSM. In multivariable survival analysis, SII remained an independent prognostic factor for OS (HR1.792; 95%CI 1.416-2.268; P &lt; 0.001) and PFS (HR1.410; 95%CI 1.043-1.906; P = 0.025). Conclusions: Elevated SII is an independent adverse prognostic factor in patients with limited-stage SCLC and is superior to PLR in terms of prognostic ability.