Low Systemic Immune-inflammation Index Research Articles

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.

Systemic Immune-Inflammation Index (SII) as a Predictor of Short-Term Mortality Risk in Sepsis-Associated Acute Kidney Injury: A Retrospective Cohort Study.

BACKGROUND Sepsis-associated acute kidney injury (SA-AKI) is linked to high mortality rates and an unfavorable prognosis. Early identification of patients with poor prognosis is crucial. This study aimed to investigate the relationship between the systemic immune-inflammation index (SII) and mortality in this specific patient population. MATERIAL AND METHODS This retrospective cohort study used data from the Medical Information Mart for Intensive Care IV database. Data on patient demographics, comorbidities, vital signs, laboratory parameters, treatment usage, acute kidney injury staging, and renal replacement therapy were collected within 48 h of intensive care unit admission. Restricted cubic splines, Kaplan-Meier curves, and Cox regression models were used for analysis. Stratified analyses were performed on the basis of various factors. RESULTS In total, 7856 patients were included, with a median age of 66.9 years and a male-to-female ratio of 57.7%-42.3%. A J-shaped relationship was observed between SII and mortality risk. The lowest mortality risk occurred at an SII of 760.078×10⁹/L. Compared to the reference group (second quartile of SII), the highest and third quartiles had increased 28-day mortality risk, with adjusted hazard ratios (HRs) of 1.33 (1.16-1.52) and 1.55 (1.36-1.77), respectively. Although a trend towards higher mortality hazard was observed in the lowest SII group (Q1), it was not statistically significant, with an adjusted HR of 1.15 (1-1.32). CONCLUSIONS In patients with SA-AKI, both low and high SII were associated with increased short-term mortality risk. The lowest mortality risk was observed at an SII of 760.078×10⁹/L within a 28-day period.

The importance of blood-count-derived inflammatory markers in predicting methotrexate success in patients with tubal ectopic pregnancy.

To investigate the systemic immune-inflammation index (SII) and neutrophil-to-lymphocyte ratio (NLR) in predicting a successful methotrexate response in tubal ectopic pregnancy (TEP). Women treated for TEP at a tertiary hospital between 2017 and 2021 were retrospectively reviewed. A total of 502 (100%) eligible patients who received methotrexate were included and divided into two groups based on whether or not they were successfully treated with methotrexate alone. Inflammatory parameters derived from the patients' hemograms at hospital admission were compared. In total, 434 (86.4%) patients were successfully treated with methotrexate alone (Group 1), while 68 (13.6%) patients underwent surgery after methotrexate failure (Group 2). Median neutrophil count, NLR, platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, SII, largest ectopic mass diameter, and β-human chorionic gonadotropin (β-hCG) were significantly lower, whereas median lymphocyte and platelet counts were significantly higher in Group 1. According to the receiver operating characteristic analysis performed for the discriminatory power of NLR, β-hCG, and SII for methotrexate response, the area under the curve values were 0.742, 0.730, and 0.699, respectively. Low NLR and SII are associated with methotrexate success and could be used to refine decision making regarding β-hCG for predicting successful response to methotrexate in patients with TEP.

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.

The Prognostic Value of the Systemic Immune-Inflammation Index (SII) and Red Cell Distribution Width (RDW) in Patients with Cervical Cancer Treated Using Radiotherapy.

There is growing interest in the prognostic value of routinely performed pre-treatment blood test indices, such as the RDW or SII, with the latter combining the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR). These indices were shown to be prognostic for survival in some malignancies. The purpose of this study was to evaluate the association between pre-treatment RDW and SII, and OS in patients treated with radiotherapy for primary localised cervical cancer. This retrospective analysis included patients treated with definitive CRT between 2011 and 2017 for histopathologically confirmed FIGO 2018 stage IB2-IVA cervical cancer. Statistical analysis was performed using the Kaplan-Meier method, two-sided log-rank tests, and Cox proportional hazards models, with the AIC serving as a prediction error estimator. The study group included 249 patients with a median age of 57.2 years and a median follow-up of 75.8 months. The majority were diagnosed with squamous cell carcinoma (237; 95.2%) and had FIGO stage III (211; 84.7%). Approximately half of the patients (116; 46.4%) had regional lymph node metastases. Patients with a low RDW (≤13.4%) and low SII (≤986.01) had a significantly longer OS (p = 0.001 and p = 0.002). The RDW remained as an independent prognostic factor in the multivariable model (high vs. low; HR = 2.04; 95% CI: 1.32-3.16; p = 0.001). Including RDW in the model decreased the Akaike Information Criterion from 1028.25 to 1018.15. The RDW is a cheap and widely available index that is simultaneously an independent prognostic factor for survival and could be used to improve pre-treatment prognosis assessments in patients with cervical cancer undergoing CRT. Available data encourage assessing the RDW as a prognostic factor in prospective trials to aid the identification of candidates for treatment escalation.

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.

Inflammatory parameters in NSCLC with driver mutation.

Aim: The tumor microenvironment of NSCLC with driver mutations, such as EGFR, ALK and ROS, is less inflammatory. Materials & methods: This retrospective study included 38 patients with NSCLC driver mutations. The relationship between clinical and inflammatory markers concerning progression-free survivaland overall survivalwas analyzed based on Kaplan-Meier curves. Results: The mean age of the patients was 59.8±11.9. Progression-free survivaland overall survivalwere significantly longer in patients under 65years of age and with low neutrophil-lymphocyte ratio, low systemic immune-inflammation index and high lymphocyte count (p<0.05). Conclusion: Unlike tumor biology, peripheral inflammatory parameters, such as neutrophil-lymphocyte ratio, systemic immune-inflammation indexand lymphocyte count may be associated with survival in NSCLC patients with driver mutations.

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.

The Combined Effect of the Systemic Immune-Inflammation Index and Aortic Valve Calcification on Major Adverse Cardiovascular Events in Patients with Coronary Heart Disease.

The combined effect of systemic immune-inflammation index (SII) and aortic valve calcification (AVC) on the risk of major adverse cardiovascular events (MACE) in patients with coronary heart disease (CHD) remains unclear. This study aimed to investigate their combined association with MACE in CHD. This retrospective cohort study included 846 CHD patients. SII was calculated as platelet count × neutrophil count / lymphocyte count, and AVC status was determined by echocardiography. Patients were divided into four groups based on median SII and AVC presence: Low SII + AVC (-), High SII + AVC (-), Low SII + AVC (+), and High SII + AVC (+). Cox regression, subgroup and sensitivity analyses assessed the association between SII + AVC and MACE. Multivariate Cox regression revealed that, compared to the Low SII + AVC (-), MACE risk increased 6.542-fold in the High SII + AVC (+) group and 1.605-fold in the High SII + AVC (-) group (P < 0.05). Subgroup analysis indicated that, compared to the Low SII + AVC (-), MACE risk was significantly elevated in the High SII + AVC (-) group for patients over 60, both genders, with hypertension, hyperlipidemia, or without diabetes (P < 0.05). In the Low SII + AVC (+) group, MACE risk was elevated only in males (P < 0.05). The High SII + AVC (+) group had increased MACE risk in all subgroups except those with diabetes (P < 0.05). After excluding patients with estimated glomerular filtration rate < 60 mL/min/1.73m², the high SII + AVC (+) group remained significantly associated with increased MACE risk (P = 0.001), as did the High SII + AVC (-) group (P = 0.031). The combination of SII and AVC is significantly associated with MACE risk in patients with CHD.

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

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

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.

Preoperative prognostic nutritional index and systemic immune inflammation index for predicting the efficacy and survival time of patients with osteosarcoma undergoing neoadjuvant chemotherapy combined with surgery.

To explore the value of preoperative prognostic nutritional index (PNI) and systemic immune inflammation index (SII) for predicting the efficacy and prognosis of patients with osteosarcoma undergoing neoadjuvant chemotherapy (NACT) combined with surgery. A retrospective study was conducted on patients with osteosarcoma undergoing NACT combined with surgery in Sun Yat-sen University Cancer Center from January 2017 to May 2019. The patients were grouped into a remission group (pCR group, 85 patients) and a non-remission group (non-pCR, 79 patients), according to the treatment efficacy. The pathological data as well as clinical data were collected from patients, which were subsequently employed for statistical analysis to determine the factors affecting the efficacy of the treatment. The diagnostic value of PNI and SII for predicting the efficacy were assessed through following up the patients for 5 years to observe their overall survival rate. COX regression analysis was leveraged to identify risk factors affecting the survival time. The impact of different PNI and SII levels on the survival time was observed. Multivariate regression analysis showed that factors including Enneking stage, PNI level and SII level were in association with poor efficacy after NATC combined with surgery. The mortality within 5 years was higher and the 5-year overall survival rate was lower in the non-pCR group than those in the pCR group (both P < 0.05). The COX regression analysis indicated that PNI and SII levels were risk factors for poor prognosis in patients with osteosarcoma following NACT combined with surgery. Further analysis showed that patients with low PNI and high SII levels had a lower 5-year survival rate (P < 0.05). Enneking stage, PNI, and SII levels were risk factors for poor efficacy in patients with osteosarcoma after NACT combined with surgery. Patients whose PNI level was low and SII level was high presented poor prognosis following the treatment.

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

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

Predictive value of immunotherapy-induced inflammation indexes: dynamic changes in patients with nasopharyngeal carcinoma receiving immune checkpoint inhibitors

BackgroundImmune checkpoint inhibitors (ICIs) have achieved substantial advancements in clinical care. However, there is no strong evidence for identified biomarkers of ICIs in NPC.MethodsIn this retrospective study, 284 patients were enrolled into a training or validation cohort. Inflammatory indexes based on peripheral blood parameters were evaluated, including the systemic immune-inflammation index (SII), the neutrophil-lymphocyte ratio (NLR), the platelet-lymphocyte ratio (PLR), the lymphocyte-to-C-reactive protein ratio (LCR), and the lymphocyte-monocyte ratio (LMR). The optimum cut-off value for patient stratification was identified using X-tile. The Kaplan-Meier method and Cox’s proportional regression analyses were used to identify prognostic factors.ResultsImmunotherapy significantly changed the levels of SII, NLR, PLR, LCR and LMR in NPC patients. Patients with lower SII, NLR, and PLR, as well as those with higher LCR and LMR, before immunotherapy had superior PFS (all p < 0.05). Moreover, PFS in the decreased SII, reduced NLR and increased LMR group was significantly longer than in the opposite group (all p < 0.05). Both univariate and multivariate analyses validated that baseline SII and LMR, and the immunotherapy-related SII reduction and LMR elevation were independent prognostic factors for PFS in advanced NPC patients receiving ICIs.ConclusionsImmune checkpoint inhibitor treatments significantly changed the levels of SII, NLR, PLR, LCR and LMR in NPC patients treated with immunotherapy. A lower baseline SII and a higher baseline LMR, and a reduction in SII and an elevation in LMR after immunotherapy are favorable factors for predicting survival among advanced NPC patients.

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

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

Prognostic Value of GRACE Risk Score Combined With Systemic Immune-Inflammation Index in Patients With ST-Segment Elevation Myocardial Infarction After Percutaneous Coronary Intervention

The Global Registry of Acute Coronary Events (GRACE) score and the systemic immune-inflammation index (SII) were used independently to predict adverse outcomes in patients with ST-elevation myocardial infarction (STEMI). In this study, 1041 patients with STEMI were divided into 4 groups based on GRACE scores and optimal cutoff values for SII. SII was positively correlated with GRACE score (r = 0.164; P &lt; .001). SII (HR, hazard ratio: 2.051; 95%CI: 1.249–3.368; P = .005) and GRACE score (HR: 7.625; 95%CI: 3.692–15.746; P &lt; .001) were independent risk predictors of short-term major adverse cardiovascular events (MACEs). Taking the low SII+low GRACE group as the reference group, the short-term MACE HR of the high SII+high GRACE group was 40.470 (95%CI: 5.547–295.253). Comparing the area under the curve, the combined use of SII and GRACE scores can significantly improve the prediction efficiency of short-term MACE compared with the single use of SII and GRACE scores. In conclusion, SII may be positively correlated with GRACE score, and the combination of the two accurately predicted the occurrence of short-term MACE in STEMI patients after percutaneous coronary intervention (PCI).

Prognostic Value of Body Composition and Systemic Inflammatory Markers in Patients with Locally Advanced Cervical Cancer Following Chemoradiotherapy.

Abnormal changes in body composition and systemic inflammation response have been associated with poor survival of cancer patients. Our study was to explore the prognostic value of the association between body composition indicators and systemic inflammation markers among patients with locally advanced cervical cancer (LACC) who underwent concurrent chemoradiotherapy (CCRT). We retrospectively reviewed medical records of LACC patients treated between 2016 and 2019. Subcutaneous, visceral and intra-muscular adipose index (SAI, VAI and IMAI) and skeletal muscle index (SMI) were derived from computed tomography (CT). Kaplan-Meier analysis and Univariate and multivariate Cox analyses were used to evaluate the survival. A nomogram was constructed to assess the prognostic value. The study included 196 patients treated with CCRT. According to multivariable Cox analyses, IIIC1r (P = 0.045), high systemic immune-inflammation index (SII) (P = 0.004), sarcopenia (P = 0.008), high SAI (P = 0.016) and high VAI (P = 0.001) were significantly risk factors for overall survival (OS). Kaplan-Meier analysis showed that patients with low lymphocyte-to-monocyte ratio (LMR) and sarcopenia had longer OS than those with high LMR and sarcopenia (P = 0.023). The high neutrophil-to-lymphocyte ratio (NLR) in non-sarcopenic patients showed better survival (P = 0.022). Low VAI (P = 0.019) or low IMAI (P = 0.019) combined with low SII had a favorable OS. Low LMR combined with low SAI was associated with longer OS (P = 0.022). The calibration plots of nomogram predicting the 3-year and 5-year OS rates were close to the ideal models. Inflammation factors were closely associated with abnormal muscle and fat distribution. The combined prognostic value of body composition indicators and systemic inflammation markers was reliable in predicting survival for LACC patients.

Purpose in life and markers of immunity and inflammation: Testing pathways of episodic memory

ObjectiveThis prospective cohort study examines whether purpose in life is associated with markers of immunity and inflammation and tests these markers as mediators between purpose and episodic memory. MethodsParticipants from the Venous Blood Study of the Health and Retirement Study reported on their purpose in life, had their blood assayed for markers of immunity and inflammation, and were administered an episodic memory task (N = 8999). Regression analyses tested the association between purpose and each marker. Prospective mediation analyses (N = 6092) tested whether these markers measured in 2016 were mediators between purpose measured in 2012/2014 and episodic memory measured in 2018. ResultsHigher purpose in life was associated with lower neutrophil counts (β = −0.08, p < .001), lower ratio of neutrophils/lymphocytes (β = −0.05, p < .001), and lower systemic immune inflammation index (β = −0.04, p < .001); purpose was unrelated to monocyte, platelet, and lymphocyte counts or the ratio of platelets/lymphocytes (all ns). Purpose was associated negatively with c-reactive protein (β = −0.07, p < .001), Interleukin-6 (β = −0.08, p < .001), Interleukin-10 (β = −0.07, p < .001), Interleukin-1ra (β = −0.08, p < .001), and soluble Tumor Necrosis Factor Receptor 1 (sTNFR1; β = −0.10, p < .001); purpose was unrelated to Transforming Growth Factor beta 1. These associations were largely not moderated by age, sex, race, ethnicity, and education. Lower neutrophils, Interleukin-6, and sTNFR1 were associated prospectively with better episodic memory and mediated the association between purpose and episodic memory. ConclusionPurpose in life is associated with markers of immunity and inflammation, some of which are one mechanism in the pathway between purpose and healthier episodic memory.

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.