The Prognostic Value of the Acute Phase Systemic Immune-Inflammation Index in Patients With Intracerebral Hemorrhage.
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SUBMITTER: Li Y
PROVIDER: S-EPMC8185273 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Systemic immune-inflammation index (SII), on the basis of lymphocyte, neutrophil and platelet counts had been published to be a good prognostic factor in multiple cancers. Nevertheless, the prognostic value of SII in cancer patients remains inconsistent. Therefore, we carried out a meta-analysis to evaluate the prognostic value of SII in these patients with cancer. A total of 22 articles with 7657 patients enrolled in this meta-analysis. The combined result revealed that a high SII was evidently correlated with poor overall survival (OS) (HR=1.69, 95%CI=1.42-2.01, p<0.001), poor time to recurrent (TTR) (HR=1.87, p<0.001) , poor progress-free survival (PFS) (HR=1.61, p=0.012) ,poor cancer-specific survival (CSS) (HR=1.44, p=0.027) , poor relapse-free survival (RFS) (HR=1.66, p=0.025) and poor disease-free survival (DFS) (HR=2.70, p<0.001) in patients with cancers. Subgroup analysis indicated that SII over the cutoff value could predict worse overall survival in Hepatocellular carcinoma (p<0.001), Gastric cancer (p=0.005), Esophageal Squamous Cell Carcinoma (p=0.013), Urinary system cancer (p<0.001), Small cell lung cancer (p<0.001), Non-Small cell lung cancer (p<0.001) and Acral Melanoma (p<0.001). The largest effect size was observed in the Hepatocellular carcinoma (HR=2.11). In addition, these associations did not vary significantly by the cutoff value, sample size and ethnicity. Therefore, high SII may be a potential prognostic marker in patients with various cancers and associated with the poor overall outcomes.
| S-EPMC6160683 | biostudies-literature
Project description:Background and objectiveIn the process of tumor occurrence, evolution and development, immune, inflammation and nutrition are principal elements. The purpose of this study was to assess the prognostic value of systemic immune-inflammation index/albumin (SII/ALB) for patients with HBV-related hepatocellular carcinoma (HCC) who underwent transcatheter arterial chemoembolization (TACE).MethodsA total of 125 HBV-related HCC patients met inclusion criteria and were all enrolled in this research. The survminer R package. was used to calculate the best SII/ALB cutoff values. Chi-square test was used to analyze the relationship between SII/ALB and clinicopathological parameters. Kaplan-Meier curves and Cox proportional hazards models were used to investigate the effect of SII/ALB on overall survival (OS).ResultsThe cutoff value of SII/ALB was 2.992. In the derivation cohort, the patients were divided into SII/ALB-low (SII/ALB≤2.992) and SII/ALB-high (SII/ALB >2.992) groups. SII/ALB-high was found in patients with tumor size ≥3 (cm), white blood cell ≥3.5 (109/L), platelet ≥100 (109/L), neutrophils ≥1.8 (109/L), PT ≥ 14(s), SII ≥100, NLR ≥1.50 and PLR ≥60, (P < 0.05). The Kaplan-Meier curves showed that elevated SII/ALB were associated with decreased OS. OS rate of SII/ALB-low and SII/ALB-high groups at 1 and 2 years were 96.6% vs. 70.3% and 87.8% vs. 48.5%, respectively (C2 = 9.804, P = 0.002). The BCLC stage, tumor number, tumor size, vascular invasion, AST, SII/ALB, SII, NLR and PNI were all significant prognostic indicators of OS. The SII/ALB (HR: 17.98; 95%CI: 1.82-177.32) and tumor size (HR: 3.26; 95%CI: 1.27-8.35) were all independent prognostic factors for OS, (p < 0.05).Conclusion: we found that SII/ALB could be an important prognostic parameter for HBV-related HCC patients after TACE treatment.
| S-EPMC10161375 | biostudies-literature
Project description:The systemic immune-inflammation index (SII) based on peripheral lymphocyte, neutrophil and platelet counts has been considered a good index that reflects the local immune response and systemic inflammation. However, the use of the SII has not been reported in cervical cancer. In this study, Kaplan-Meier survival analysis showed that a high SII was associated with poor prognosis in cervical cancer patients in the primary and validation cohorts. A higher SII had a significant correlation with larger tumours but had no correlation with other clinicopathological parameters. Among all systemic immune indexes, the SII is the only independent prognostic factor for cervical cancer patients. Compared with the area under the curve for the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and monocyte/lymphocyte ratio (MLR), the area for the SII was larger at 3 and 5 years. In addition, the SII still retains it prognostic values across all FIGO stages. The SII can independently predict the overall survival of patients with cervical cancer receiving radical resection and is thus superior to existing systemic inflammatory indexes. The prognostic nomogram based on the SII is a reliable model for predicting the postoperative survival of patients with cervical cancer.
| S-EPMC6397230 | biostudies-literature
Project description:Intracerebral hemorrhage (ICH) accounts for ~15% of all strokes and is associated with high mortality and disability rates. The systemic inflammation response index (SIRI) is a novel systemic inflammatory marker based on peripheral neutrophil, monocyte, and lymphocyte counts. This study aimed to evaluate the prognostic significance of admission SIRI in patients with spontaneous ICH and compare its predictive ability with that of the neutrophil-to-lymphocyte ratio (NLR). This retrospective study was conducted based on a prospectively collected database of patients with ICH between June 2016 and January 2019. Propensity score matching (PSM) was conducted to adjust for potential imbalances in the clinical parameters. A total of 403 patients were included in the original cohort. The optimal SIRI cut-off value was 2.76. After 1:1 PSM based on potential confounding variables, a new cohort containing 262 patients was established for further analysis. In the original cohort, SIRI served as an independent predictor of 3-month functional outcome [odds ratio (OR), 1.302; 95% CI, 1.120-1.512; p = 0.001] and 1-month mortality (OR, 1.072; 95% CI, 1.020-1.126; p = 0.006), while NLR was independently associated with only 3-month functional outcomes (OR, 1.051; 95% CI, 1.004-1.100; p = 0.031) and not 1-month mortality. The same applied to the PSM cohort. Receiver operating characteristic analyses and predictive models indicated that in most instances, SIRI was superior to NLR and their components in predicting the outcomes of patients with ICH. Our study found that SIRI is determined to be an independent predictive indicator for ICH patients in 3-month functional outcomes and 1-month mortality. The prognostic predictive ability of SIRI was stronger than that of NLR.
| S-EPMC8497988 | biostudies-literature
Project description:PurposeWe assessed the prognostic value of systemic immune-inflammation index (SII) to refine risk stratification of the heterogeneous spectrum of patients with non-muscle-invasive bladder cancer (NMIBC) METHODS: In this multi-institutional cohort, preoperative blood-based SII was retrospectively assessed in 1117 patients with NMIBC who underwent transurethral resection of bladder (TURB) between 1996 and 2007. The optimal cut-off value of SII was determined as 580 using the best Youden index. Cox regression analyses were performed. The concordance index (C-index) and decision curve analysis (DCA) were used to assess the discrimination of the predictive models.ResultsOverall, 309 (28%) patients had high SII. On multivariable analyses, high SII was significantly associated with worse PFS (hazard ratio [HR] 1.84; 95% confidence interval [CI] 1.23-2.77; P = 0.003) and CSS (HR 2.53; 95% CI 1.42-4.48; P = 0.001). Subgroup analyses, according to the European Association of Urology guidelines, demonstrated the main prognostic impact of high SII, with regards to PFS (HR 3.39; 95%CI 1.57-7.31; P = 0.002) and CSS (HR 4.93; 95% CI 1.70-14.3; P = 0.005), in patients with intermediate-risk group; addition of SII to the standard predictive model improved its discrimination ability both on C-index (6% and 12%, respectively) and DCA. In exploratory intergroup analyses of patients with intermediate-risk, the improved discrimination ability was retained the prediction of PFS and CSS.ConclusionPreoperative SII seems to identify NMIBC patients who have a worse disease and prognosis. Such easily available and cheap standard biomarkers may help refine the decision-making process regarding adjuvant treatment in patients with intermediate-risk NMIBC.
| S-EPMC8602174 | biostudies-literature
Project description:BackgroundMultiple studies have reported the significance of the systemic immune-inflammation index (SII) in the prognosis of colorectal cancer (CRC), but no consensus has yet been reached. The purpose of this study was to systematically assess the prognostic value of SII in patients with CRC.Materials and methodsWe performed a systematic literature search in PubMed, Embase, and the Cochrane Library for eligible studies. The correlation between pretreatment SII and overall survival (OS), disease-free survival (DFS), and progression-free survival (PFS) in CRC patients was evaluated by combining the hazard ratio (HR) and 95% confidence interval (CI).ResultsTwelve studies involving 3919 patients were included. Comprehensive analysis results showed that high SII indicated poor OS in CRC patients (HR = 1.777, 95% CI: 1.328-2.376). Compared with patients with low SII values, patients with high SII had lower PFS (HR = 1.658, 95% CI: 1.189-2.311). Subgroup analysis further verified the above results.ConclusionsSII may be a noninvasive and powerful tool for predicting survival outcomes in CRC patients. However, more well-designed studies are needed to validate our findings.
| S-EPMC7700049 | biostudies-literature
Project description:BackgroundThe systemic immune-inflammation index (SII), which is calculated using absolute platelet, neutrophil, and lymphocyte counts, has recently attracted attentions as a prognostic indicator in patients with solid malignancies. In the current study, we retrospectively investigated the prognostic significance of pre-treatment SII among patients with endometrial cancer.MethodEndometrial cancer patients treated at Nara medical university hospital between 2008 and 2018 were included in the current study. Receiver operating characteristic (ROC) curve was used to find the optimal SII cut-off values for 3-years progression free survival (PFS) and overall survival (OS). Then, the predictive abilities of SII and its superiority over neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) were investigated. Kaplan-Meier method was used to calculate the OS and PFS rates, and log-rank test was used to compare the survival rate between two groups. Univariate and multivariate Cox regression analysis were performed to identify risk factors for PFS and OS.ResultA total of 442 patients were included in the current study. The cut-off value of SII for predicting PFS and OS were defined by ROC analysis as 931 and 910, respectively. Univariate analyses showed that elevated SII was associated with significantly shorter survival (p <0.001 for both PFS and OS). Cox regression analyses revealed that an advanced FIGO stage (p <0.001 for both PFS and OS) and an elevated SII (p = 0.014 for PFS, p = 0.011 for OS) are the independent prognostic factors for survival. When SII was compared with NLR and PLR, SII showed greater area under curve for predicting survival.ConclusionThe SII is an independent prognostic factor in endometrial cancer patients, allowing more precise survival estimation than PLR or NLR.
| S-EPMC8121307 | biostudies-literature
Project description:Background:Several studies have reported that the systemic immune-inflammation index (SII) is associated with the prognosis of patients with urologic cancers (UCs). The aim of this study was to systematically evaluate the prognostic value of SII in UC patients. Methods:We searched public databases for relevant published studies on the prognostic value of SII in UC patients. Hazard ratios (HRs) and 95% confidence intervals (CIs) were extracted and pooled to assess the relationships between SII and overall survival (OS), progression-free survival (PFS), cancer-specific survival (CSS), overall response rate (ORR) and disease control rate (DCR). Results:A total of 14 studies with 3074 patients were included. From the pooled results, we found that high SII was associated with worse overall survival (OS) in patients with UC (HR 2.58, 95% CI 1.59-4.21). Patients with high SII values also had poorer PFS (HR 1.92, 95% CI 1.29-2.88) and CSS (HR 2.58, 95% CI 1.36-4.91) as well as lower ORRs (HR 0.40, 95% CI 0.22-0.71) than patients with low SII values. In addition, the subgroup analysis of OS and PFS showed that the prognosis of patients with high SII was worse than that of patients with low SII. Conclusions:SII might be a promising noninvasive predictor in patients with UC. However, more samples and multicenter studies are needed to confirm the effectiveness of SII in predicting the prognosis of patients with UC.
| S-EPMC7552553 | biostudies-literature
Project description:BackgroundInflammatory mechanisms play important roles in intracerebral hemorrhage (ICH) and have been linked to the development of stroke-associated pneumonia (SAP). The neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR) and systemic inflammation response index (SIRI) are inflammatory indexes that influence systemic inflammatory responses after stroke. In this study, we aimed to compare the predictive value of the NLR, SII, SIRI and PLR for SAP in patients with ICH to determine their application potential in the early identification of the severity of pneumonia.MethodsPatients with ICH in four hospitals were prospectively enrolled. SAP was defined according to the modified Centers for Disease Control and Prevention criteria. Data on the NLR, SII, SIRI and PLR were collected at admission, and the correlation between these factors and the clinical pulmonary infection score (CPIS) was assessed through Spearman's analysis.ResultsA total of 320 patients were enrolled in this study, among whom 126 (39.4%) developed SAP. The results of the receiver operating characteristic (ROC) analysis revealed that the NLR had the best predictive value for SAP (AUC: 0.748, 95% CI: 0.695-0.801), and this outcome remained significant after adjusting for other confounders in multivariable analysis (RR=1.090, 95% CI: 1.029-1.155). Among the four indexes, Spearman's analysis showed that the NLR was the most highly correlated with the CPIS (r=0.537, 95% CI: 0.395-0.654). The NLR could effectively predict ICU admission (AUC: 0.732, 95% CI: 0.671-0.786), and this finding remained significant in the multivariable analysis (RR=1.049, 95% CI: 1.009-1.089, P=0.036). Nomograms were created to predict the probability of SAP occurrence and ICU admission. Furthermore, the NLR could predict a good outcome at discharge (AUC: 0.761, 95% CI: 0.707-0.8147).ConclusionsAmong the four indexes, the NLR was the best predictor for SAP occurrence and a poor outcome at discharge in ICH patients. It can therefore be used for the early identification of severe SAP and to predict ICU admission.
| S-EPMC9969881 | biostudies-literature
Project description:Purpose: It was reported that the novel preoperative systemic immune-inflammation index (SII) can predict survival in cases of many malignant tumors. However, the prognostic significance of preoperative SII in breast cancer remains unclear. The purpose of this study was to investigate the relationship between SII and survival in breast cancer patients. Methods: Breast cancer patients (1,026) who underwent a mastectomy at Sun Yat-sen University Cancer Center were retrospectively studied. The SII was determined using the following formula: neutrophil count × platelet count/lymphocyte count. The receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value for SII. Propensity score matching (PSM) was applied to develop comparable cohorts of high SII group and low SII group. Results: A total of 1,026 patients were included as the primary cohort, and 894 patients were matched and regarded as the matched cohort. Patients were divided into two groups based on SII value: SII <601.7 and high SII >601.7. In the primary cohort, the 5-years overall survival (OS), recurrence-free survival (RFS), and distant metastasis-free survival (DMFS) rates for high SII group and low SII group were (85.6% vs. 91.3%, P = 0.016), (95.8% vs. 96.4%, P = 0.684), and (83.5% vs. 90.6%, P = 0.007), respectively. Univariate analysis showed that histological type, T stage, N stage, PR, HER2, Ki67, and SII all showed significant associations with OS; and histological type, T stage, N stage, and SII all showed significant associations with DMFS. Multivariate survival analysis revealed that SII can independently predict OS (P = 0.017) and DMFS (P = 0.007). Similar results were found in PSM cohort. Conclusions: Preoperative SII may be a reliable predictor of OS and DMFS in patients with operable breast cancer to provide personalized prognostication and assist in formulation of the clinical treatment strategy.
| S-EPMC7186330 | biostudies-literature