Prognostic value of the pretreatment systemic immune-inflammation index in patients with prostate cancer: a systematic review and meta-analysis

Association between systemic immune-inflammation index and chronic bronchitis: NHANES 2001-2018

The systemic immune-inflammation index (SII) is a newly identified marker of inflammation., and the relationship between chronic bronchitis (CB) and inflammation is closely associated. However, the influence of SII on CB remains unclear at present.This cross-sectional study was conducted using data from individuals with complete SII and CB records from the 2001-2018 National Health and Nutrition Examination Survey (NHANES). Binary weighted logistic regression was employed to investigate the relationship between SII and CB risk. Additionally, restricted cubic spline regression models and segmented regression models were used to examine nonlinear relationships and threshold effects. Receiver operating characteristic (ROC) curves were adopted to evaluate the predictive value of SII for CB. Stratified analysis was adopted to assess the association between SII and CB in different populations. After adjusting for all covariables, there was a significant positive relevance observed between log-transformed SII (log (SII)) with CB (OR = 1.52, 95% CI: 1.27-1.82, P < 0.001). A nonlinear dose-response relationship with the threshold of 8.14 was observed between log (SII) and CB risk. When log (SII) exceeded 8.14, each unit increase in log (SII) was associated with a 1.31-fold increase in the risk of CB (OR = 1.31, 95% CI: 1.22-1.40, P < 0.001). Furthermore, ROC curves revealed strong predictive capability of SII for CB (AUC = 0.729). Elevated SII levels are associated with an increased prevalence of CB. Furthermore, a non-linear association exists between SII and the increased risk of CB.

Predictive Value of Advanced Lung Cancer Inflammation Index and Development of a Nomogram for Prognosis in Patients with Cervical Cancer Treated with Radiotherapy

Purpose

As an assessment tool of nutritional status and inflammation, the advanced lung cancer inflammation index (ALI) is associated with survival in various cancers. We aimed to investigate the association between the ALI's prognostic value and survival time in patients with the stage IIB-III cervical cancer treated with radiotherapy.

Patients and Methods

We retrospectively screened patients diagnosed with cervical cancer and underwent radiotherapy in a single institution between September 2013 to September 2015. The ALI was calculated as body mass index * serum albumin/neutrophil-to-lymphocyte ratio. The cut-off value of ALI was determined by the receiver operating characteristic (ROC) curves. Overall survival (OS) and progression-free survival (PFS) were evaluated using the Kaplan-Meier method and Cox proportional hazards models. A nomogram was developed using prognostic factors based on multivariate analyses.

Results

A total of 178 patients with cervical cancer were included. The cutoff value of ALI was set at 310.6 by ROC analyses. Kaplan Meier survival curves indicated that patients with low ALI had a significantly poorer OS (log-rank P<0.001) and PFS (log-rank P=0.0056) than those with high ALI. The association between ALI and OS was significant in the patients with obese/overweight and low/normal weight. The Cox regression analysis indicated that patients with low ALI were associated with a decreased OS (Hazard Ratio (HR) = 2.56, 95% Confidence Intervals (CI), 1.35-4.83; P= 0.004) and PFS (HR = 1.83; 95% CI, 1.06-3.17; P = 0.031). The nomogram on OS was created based on ALI with C-index of 0.81. Patients with high nomogram points had worse OS than those with low nomogram points (log rank P<0.0001).

Conclusion

Pretreatment ALI is an independent negative prognostic factor in patients with cervical cancer treated with radiotherapy. The ALI based nomogram can help to identify patients who may have unfavorable outcomes.

Association between the atherogenic index of plasma and the systemic immuno-inflammatory index using NHANES data from 2005 to 2018

The atherogenic index of plasma (AIP) is used to evaluate the risk of atherosclerosis, while the systemic immune-inflammation index (SII) measures inflammation. The AIP and SII are indicators used to predict diseases in various areas. This study aims to explore the relationship between AIP and SII. A cross-sectional study design was used to recruit 70,190 participants from the National Health and Nutrition Examination Survey (NHANES) conducted between 2005 and 2018, excluding AIP missing data, SII missing data, participants under 20 years of age, and participants with missing covariates to eventually include 8163 participants. We used weighted multiple linear regression analysis, trend test, smooth curve fitting and threshold effect analysis to examine the relationship between AIP and SII. Among the 8163 participants included in the study, the mean (± SD) age was 48.412 ± 16.842 years. The mean SII (± SD) for all participants was 519.910 ± 316.974. In a model adjusted for all covariates (Model 3), AIP showed a significant positive correlation with SII [β (95% CI) 32.497 (5.425, 59.569), P = 0.021]. The smooth curve fitting results of AIP and SII are an "inverted U-shape" non-linear relationship, and the inflection point is at AIP = 0.82. This positive association between AIP and SII was found only in females and participants under 50. Specifically, for females, the positive correlation between AIP and SII was linear [β (95% CI) 80.791 (44.625, 116.958); P < 0.001]. In participants under 50, the positive correlation between AIP and SII was [β (95% CI) 34.198 (3.087, 65.310); P = 0.034], and there was also an "inverted U-shape" non-linear relationship with an inflection point of AIP = 0.549. For participants aged 20-50 years and males, the smooth curve showed a "down-flat-down" non-linear relationship. There is a significant positive correlation between AIP and SII. A positive association between AIP and SII was observed exclusively in females and among participants under 50. Furthermore, AIP and SII demonstrated a nonlinear relationship that resembles an "inverted U-shape". These findings offer new insights into the prevention, treatment, and management of cardiovascular disease. However, further comprehensive cohort studies are necessary to validate the relationship between AIP and SII.

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

BACKGROUND

The role of inflammation in the development of gestational diabetes mellitus (GDM) has recently become a focus of research. The systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI), novel indices, reflect the body's chronic immune-inflammatory state. This study aimed to investigate the associations between the SII or SIRI and GDM.

METHODS

A prospective birth cohort study was conducted at Beijing Obstetrics and Gynecology Hospital from February 2018 to December 2020, recruiting participants in their first trimester of pregnancy. Baseline SII and SIRI values were derived from routine clinical blood results, calculated as follows: SII = neutrophil (Neut) count × platelet (PLT) count/lymphocyte (Lymph) count, SIRI = Neut count × monocyte (Mono) count/Lymph count, with participants being grouped by quartiles of their SII or SIRI values. Participants were followed up for GDM with a 75-g, 2-h oral glucose tolerance test (OGTT) at 24-28 weeks of gestation using the glucose thresholds of the International Association of Diabetes and Pregnancy Study Groups (IADPSG). Logistic regression was used to analyze the odds ratios (ORs) (95% confidence intervals [CIs]) for the the associations between SII, SIRI, and the risk of GDM.

RESULTS

Among the 28,124 women included in the study, the average age was 31.8 ± 3.8 years, and 15.76% (4432/28,124) developed GDM. Higher SII and SIRI quartiles were correlated with increased GDM rates, with rates ranging from 12.26% (862/7031) in the lowest quartile to 20.10% (1413/7031) in the highest quartile for the SII ( Ptrend <0.001) and 11.92-19.31% for the SIRI ( Ptrend <0.001). The ORs (95% CIs) of the second, third, and fourth SII quartiles were 1.09 (0.98-1.21), 1.21 (1.09-1.34), and 1.39 (1.26-1.54), respectively. The SIRI findings paralleled the SII outcomes. For the second through fourth quartiles, the ORs (95% CIs) were 1.24 (1.12-1.38), 1.41 (1.27-1.57), and 1.64 (1.48-1.82), respectively. These associations were maintained in subgroup and sensitivity analyses.

CONCLUSION

The SII and SIRI are potential independent risk factors contributing to the onset of GDM.

The prognostic role of systemic immune-inflammation index, SII, in Metastatic Castration-Resistant Prostate Cancer patients

Our study aimed to examine the predictive relevance of the Systemic Immune-Inflammation Index (SII) in patients with metastatic castration-resistant prostate cancer (mCRPC). A total of 113 mCRPC patients were assessed. In this descriptive study, SII was calculated using the formula (neutrophil count × platelet count)/lymphocyte count. The optimal threshold for SII, determined via the ROC curve, was 700. Patients with SII ≤ 700 were classified as SII-low, while those with SII > 700 were categorized as SII-high. The median overall survival (mOS) was significantly longer in the low SII group compared to the high SII group (*P = 0.015). In multivariate analysis, Gleason score, albumin levels, CHAARTED volume, and SII were identified as significant prognostic factors. Our findings indicate that SII has a strong correlation with survival and can serve as an independent prognostic marker in mCRPC patients.

Planetary health diet index and mortality among US cancer survivors: mediating roles of systemic immune-inflammation index and neutrophil-to-lymphocyte ratio

BACKGROUND

Cancer-related deaths and environmental issues pose significant global challenges. The Planetary Health Diet (PHD) is a healthy dietary pattern that simultaneously promotes human health and ecology. This study aims to investigate the association between the Planetary Health Diet Index (PHDI) and mortality among cancer survivors, as well as the mediating role of inflammation between PHDI and all-cause mortality.

METHODS

This study analyzed data from 3,442 cancer survivors enrolled in the United States National Health and Nutrition Examination Survey between 1999 and 2018. To investigate the association between PHDI and mortality, we applied weighted multivariate Cox proportional hazards regression, restricted cubic spline analysis, subgroup analysis, and sensitivity analysis. The mediating effects of the Systemic Immune-Inflammation Index (SII) and Neutrophil-to-Lymphocyte Ratio (NLR) were assessed using the bootstrap method with 1000 simulations.

RESULTS

In the fully adjusted model, each 10-point PHDI increase correlated with a 9% decrease in all-cause mortality (HR, 0.91; 95% CI, 0.86-0.95), a 10% decrease in cancer mortality (HR, 0.90; 95% CI, 0.83-0.99), and a 10% decrease in non-cancer mortality (HR, 0.90; 95% CI, 0.85-0.96). The PHDI was significantly inversely correlated with SII and NLR, which were positively related to all-cause mortality. The mediation proportions of SII and NLR between the PHDI and all-cause mortality were 6.52% and 8.52%, respectively.

CONCLUSIONS

Adherence to the PHD is associated with reduced all-cause, cancer, and non-cancer mortality among cancer survivors. Additionally, SII and NLR may mediate the relationship between PHDI and all-cause mortality.

Prognostic Role of Pan-Immune-Inflammatory Value in Patients with Non-ST-Segment Elevation Acute Coronary Syndrome

Blood cell-derived indices are potential predictors of clinical outcomes in coronary artery disease. This study assessed the prognostic value of the pan-immune-inflammatory value (PIV) for predicting 1-year major adverse cardiovascular events (MACEs) in patients with non-ST-segment elevation acute coronary syndrome (ACS). A retrospective cohort of 1651 patients receiving percutaneous coronary intervention was analyzed. PIV, calculated from blood cell counts, was categorized with a cut-off value of 256.3 (sensitivity 60.7%, specificity 59.3%) based on receiver operating characteristic curve analysis. MACEs were operationalized as a composite of all-cause mortality, myocardial infarction (MI), stroke, any revascularization, and rehospitalization for heart failure. The incidence of MACEs was 5.0% in patients with low PIV and 9.7% in those with high PIV (log-rank p < 0.001). Multivariate analysis identified age 65 > years, renal dysfunction (eGFR < 60 mL/min/1.73 m2), and high PIV (>256.3) (HR 1.49, 95% CI 1.01-2.22, p = 0.048) as independent predictors of MACEs. Subgroup analyses revealed no statistically significant interaction between MI status or C-reactive protein levels and PIV. PIV was an independent predictor of 1-year MACEs in patients with non-ST-segment elevation ACS. It may serve as a reliable prognostic marker independently of MI or C-reactive protein levels.

Association Between Systemic Immune-Inflammation Index and Stress Urinary Incontinence in Adult Women: A Population-Based Study

Background

Systemic immune-inflammation index (SII) is a novel inflammatory marker, and inflammation may contribute significantly to the aetiology of stress urinary incontinence (SUI), in addition to recognized factors. This study aims to explore the association between SII and SUI in women.

Methods

Adult participants from the 2007-2018 NHANES were included. Weighted multivariate logistic regression and subgroup analysis were conducted to determine the relationship between SII and SUI. The non-linear relationship between SII and SUI risk was evaluated using restricted cubic splines (RCS), and the inflection point was determined by two-piecewise logistic regression.

Results

A total of 10,776 women were included, of whom 4407 (40.9%) had SUI. After adjusting for all confounders, a significant positive association between SII and SUI risk was observed (OR: 1.09; 95% CI: 1.01-1.19, P = 0.021); Moreover, when compared with the women in the lowest SII tertile, those in the highest SII tertile had a 15% increased risk of SUI (OR: 1.15; 95% CI: 1.00-1.31, P = 0.049). Subgroup analysis showed that there were consistent relationships between SII and SUI across most subgroups. A non-linear relationship between log2SII and SUI was observed by RCS analysis. Furthermore, the two-piecewise logistic regression demonstrated that the odds of being SUI increased with the SII level, and this rising trend gradually slowed down after passing the inflection point of 8.64.

Conclusion

Our findings suggest an association between elevated SII levels and an increased likelihood of SUI in women. Further well-designed prospective studies are needed to substantiate our results.

Association between the systemic immune-inflammation index and metabolic syndrome and its components: results from the multi-ethnic study of atherosclerosis (MESA)

BACKGROUND

The Systemic Immune-Inflammation Index (SII) is a novel biomarker of systemic inflammation. We explored the association between the SII and metabolic syndrome (MetS) and its components in middle-aged and older adults.

METHODS

We included 2755 participants (1305 men) aged 45-84 years from the Multi-Ethnic Study of Atherosclerosis (MESA) cohort from examination 5 (2010-2012). Logistic regression was employed to assess the relationship between the SII and MetS, as well as its components.

RESULTS

A total of 1082 participants (463 men) were diagnosed with MetS. On a continuous scale, the SII was positively associated with MetS (odds ratio (OR): 1.23, 95% confidence interval (CI): 1.05-1.46) and its components including hyperglycemia (1.23: 1.05-1.44) and elevated blood pressure (BP) (1.47: 1.14-1.89). When analyzed on a quartile scale, participants in the quartile 4 of SII had 32% and 63% higher prevalence of hyperglycemia and elevated BP, respectively, compared to those in the quartile 1 (P for trend: 0.021 and < 0.001, respectively). Additionally, we identified 40% higher prevalence of low HDL-C in quartile 2 of the SII compared to quartile 1 (1.40; 1.07-1.83) (P trend = 0.454). In subgroup analysis, general obesity status modified the relationship between SII and abdominal obesity, showing a positive association in obese individuals (1.72: 1.00-2.95) and a negative association (0.80: 0.66-0.97) in non-obese individuals (P for interaction = 0.009).

CONCLUSIONS

Higher SII scores were associated with an increased likelihood of MetS, hyperglycemia, and high BP among middle-aged and older adults. Longitudinal studies are needed to determine the causal relationships between SII and the development of MetS, as well as to assess the potential role of SII as a screening tool in clinical practice.

EGCG inhibits tobacco smoke-promoted proliferation of lung cancer cells through targeting CCL5

BACKGROUND

The occurrence and development of cancer are deeply intertwined with chronic inflammatory processes. Epigallocatechin gallate (EGCG), the most pharmacologically potent catechin derived from tea, has garnered attention for its anti-inflammatory and anti-carcinogenic properties. However, the molecular mechanisms through which EGCG modulates tobacco smoke (TS)-induced inflammatory responses in lung carcinogenesis remain incompletely elucidated.

PURPOSE

To unravel the molecular mechanisms by which EGCG mitigates TS-induced inflammatory processes in lung carcinogenesis.

METHODS

Network pharmacology analysis was conducted to explore the potential target genes of EGCG involved in the inhibition of TS-induced lung cancer inflammation. In vitro and in vivo experiments were conducted to demonstrate EGCG's chemopreventive potential against lung carcinogenesis.

RESULTS

Utilizing data from the US adults, it was uncovered that tea consumption could suppress the inflammatory response in patients with various cancer types. CCL5 (chemokine (CC motif) ligand 5) could function as a core regulator of TS-induced lung cancer cell proliferation, and EGCG exerted beneficial effects. The following experiments revealed that TS upregulated CCL5 expression in H1299 and H226 cells. CCL5 recombinant protein elevated both ROS production and Nrf2 expression to promote lung cancer cell proliferation. EGCG could suppress CCL5-stimulated lung cancer cell proliferation by downregulating Nrf2 expression. In the mouse model, EGCG reduced tumor weight and volume, diminished the levels of CCL5, Ki67, Cyclin D1, PCNA, and Nrf2, and elevated the expression of Keap1 relative to the control group.

CONCLUSION

EGCG targets CCL5 to inhibit the proliferation of TS-induced lung cancer cells and may serve as a new treatment strategy.

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

Objective

The prognostic value of the systemic immune-inflammation index (SII) for prostate cancer (PCa) patients receiving different treatments remains unclear. This research examined the relevance of SII in individuals undergoing radical prostatectomy (RP).

Methods

PubMed, Embase, Web of Science, Cochrane, Wanfang, and China National Knowledge Infrastructure (CNKI) dat3 abases were used to search literature up to May 2024. The quality was evaluated with Newcastle-Ottawa Scale. Outcomes examined were associations between SII and overall survival (OS), biochemical recurrence-free survival (BFS), and cancer-specific survival (CSS). Pooled analysis, Egger's test, and sensitivity analysis were conducted using Review Manager 5.4.1 and Stata 15.1. The GRADE system was employed to evaluate and grade the evidence for each outcome. Subgroup analyses were performed for outcomes with significant heterogeneity to evaluate the possible confounders, if data were sufficient.

Results

Out of 101 identified studies, eight studies involving 8,267 individuals were included. Patients with higher SII had shorter overall survival (HR: 1.89; 95% CI: 1.31-2.71; P = 0.0006), biochemical recurrence-free survival (HR: 1.55; 95% CI: 1.08-2.22; P = 0.02), and cancer-specific survival (HR: 3.63; 95% CI: 1.66-7.94; P = 0.001). The evidence for OS and CSS was rated very low-quality due to serious heterogeneity and/or imprecision. The prognostic value of SII for BFS was rated as low-quality evidence, given no serious risk observed. Subgroup analysis showed that, except for the subgroup aged >65 years (HR: 3.70; 95%CI: 0.91, 15.06, P=0.07), the prognostic value of SII for OS was not significant, but the prognostic value of SII for OS in other subgroups was still significant.

Conclusions

High SII was linked to shorter OS, BFS, and CSS in patients undergoing RP. However, the quality of the evidence provided by this study was low.

Systematic Review Registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024558431.

Prognostic Value of the Baseline Systemic Immune-Inflammation Index in HER2-Positive Metastatic Breast Cancer: Exploratory Analysis of Two Prospective Trials

PURPOSE

The systemic immune-inflammation index (SII) is a hematological marker that reflects the immune status of the body. This study was designed to evaluate the prognostic significance of the baseline SII in HER2-positive metastatic breast cancer (MBC) patients receiving chemotherapy plus trastuzumab without or with pertuzumab.

METHODS

Data were collected from 774 patients from the CLEOPATRA trial, 196 patients from the H0648G trial, and 229 patients from six clinical centers in China. Patients were divided into the low and high SII subgroups according to the median SII value. The inverse probability of treatment weighting (IPTW) method was used to control bias. Associations between the SII and progression-free survival (PFS) and overall survival (OS) were analyzed.

RESULTS

In the CLEOPATRA trial, a lower SII was associated with better PFS (hazard ratio [HR] 1.31, 95% confidence interval [CI] 1.04-1.65, P = 0.02) and OS (HR 1.42, 95% CI 1.07-1.88, P = 0.02) in the trastuzumab and docetaxel groups, as well as improved PFS in the trastuzumab and pertuzumab and docetaxel groups (HR 1.39, 95% CI 1.10-1.77, P < 0.01) after IPTW. In the H0648G trial, a lower SII was associated with better PFS (P = 0.04) and OS (P = 0.02) in HER2-positive MBC patients receiving trastuzumab-based therapy. According to real-world data, a lower SII predicted an improvement in PFS for patients treated with docetaxel plus trastuzumab without or with pertuzumab (P = 0.02 and 0.01, respectively).

CONCLUSIONS

A low baseline SII is associated with better survival outcomes among HER2-positive MBC patients receiving trastuzumab-based first-line therapy.

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

BACKGROUND

The 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 METHODS

Clinical 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.

RESULTS

The 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.

CONCLUSION

A 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.

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

Background

Systemic inflammation plays a vital role in the pathogenesis and prognosis of cardiovascular disease (CAD). The systemic immune-inflammation index (SII) has been developed as a cost-effective and practical predictor for CAD outcomes. This study aimed to determine the association between the SII and the risk of ISR among ACS patients with and without diabetes mellitus (DM).

Methods

In this retrospective cohort study, a total of 1,652 patients who underwent percutaneous coronary intervention (PCI) from February 2015 to December 2020 and were finally enrolled after follow-up with coronary angiography. The SII was calculated based on neutrophil, platelet and lymphocyte counts. Multivariable logistic regression models were employed to assess the associations between SII and ISR prevalence. Additionally, the interaction test and subgroup analysis were performed to evaluate the robustness of our findings. Furthermore, restricted cubic splines analysis was applied to visualize the relationship between the SII and the risk of ISR. Employing Spearman's rank correlation analysis to investigate the relationship between SII levels and the time to ISR occurrence.

Results

In the whole cohort enrolled in this study, 128 (7.7%) participants developed angiographic evidence of ISR. The results demonstrated that the SII level significantly increased in patients with ISR compared to those with non-ISR, and these findings were similar in patients with and without DM. After adjusting for confounders, the multivariate logistic regression analysis revealed that participants with higher SII levels had a significantly increased risk of ISR for diabetics (all P < 0.05), and this significant association was observed in patients with more severe ISR (triple-coronary artery lesions). Additionally, RCS analysis reveals that there is a J-shaped nonlinear correlation between SII and ISR in the entire study cohort with (P for overall <0.001, and P for nonlinearity = 0.0058, respectively). Moreover, a threshold effect can be observed in the entire cohort, with an inflection point at the log2-SII value of 9.276 (SII = 620). Specifically, increased SII was linearly associated with ISR in diabetics (P for overall = 0.0007 and P for nonlinearity = 0.4316, respectively), indicating that the correlation between SII and ISR is stronger in diabetic patients than in those without diabetes. Spearman's rank correlation analysis demonstrated that elevated SII levels are related to earlier ISR onset in diabetics (r = -0.272, P = 0.049).

Conclusion

Our study suggests that SII may be an affordable and convenient marker that could be applied to predict the risk of ISR among ACS patients. Moreover, the study emphasized that high SII is an independent predictor of more severe and earlier ISR and may be helpful for patients' risk stratification, especially those with comorbid DM.

The U-shaped correlation between serum VD concentration and systemic immune-inflammatory index: results from the NHANES database prospective cohort study

BACKGROUND

Vitamin D (VD) plays a critical role in regulating systemic inflammation, but its correlation with the systemic immune-inflammatory index (SII) remains unclear. This study aimed to explore the relationship between serum VD concentration, dietary VD intake, and SII using data from the National Health and Nutrition Examination Survey (NHANES).

METHODS

Data from NHANES 2007-2018 and NHANES 2007-2020 were analyzed for serum VD levels and dietary VD intake, respectively. Restricted cubic splines (RCS) and logistic regression were used to assess associations between VD and SII. Mediation analysis was conducted to evaluate the role of SII in VD-related disease outcomes and mortality.

RESULTS

Serum VD concentration exhibited a U-shaped correlation with SII (P-overall = 0.005; P-non-linear = 0.002). Severe VD deficiency significantly elevated SII levels compared to insufficiency or sufficiency groups. No association was observed between dietary VD intake and SII. Mediation analysis revealed that SII mediated the effects of VD on all-cause and cardiovascular disease-related mortality, but not on cancer, hypertension, or diabetes development.

CONCLUSION

A U-shaped relationship exists between serum VD and SII, with VD supplementation potentially reducing systemic inflammation and improving cardiovascular outcomes. Future studies should explore VD's role in systemic inflammation and its clinical implications.

Correlation between systemic immune-inflammatory index and graded diagnosis of periodontitis: a combined cross-sectional and retrospective study

BACKGROUND

To investigate the association between periodontitis and inflammatory biomarkers, including systemic immune-inflammatory index (SII), neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio.

METHODS

Our study comprised a cross-sectional analysis (an indirect evidence group and a periodontal health control group from January to October 2023) and a retrospective study (a direct evidence group and a non-maintenance group from January 2014 to March 2022). We analyzed demographic data, imaging measurements, and peripheral blood counts.

RESULTS

The study included 131 participants in the indirect evidence group, 132 in the healthy control group, 123 in the direct evidence group, and 76 in the non-maintenance group. The indirect evidence group exhibited significantly altered inflammatory biomarker levels compared to the healthy controls. Receiver operating characteristic curve analysis indicated that SII was the most effective biomarker for diagnosing periodontitis, with an area under the curve 0.758 and a Youden index 0.409. The optimal cut-off value was 437.07 × 10⁹/L, achieving a sensitivity 46.2% and a specificity 94.7%. Correlation analyses revealed significant associations between the biomarker levels and periodontitis grades, with SII showing the highest correlation coefficient (0.942). In the direct evidence group, supportive periodontal therapy significantly mitigated changes in these biomarkers.

CONCLUSION

An SII level exceeding 437.07 × 109/L could facilitate the periodontitis diagnosis and disease grade determination. SII can be utilized to assess and monitor periodontitis severity and treatment response.

Relationship between systemic immune-inflammation index and long-term all-cause and cause-specific mortality among adult asthma patients: a population-based study

BACKGROUND

Persistent inflammation in the airways is a hallmark of asthma, and researchers have extensively explored various inflammatory indicators that contribute to the condition. Despite this, there is limited research on the relationship between the systemic immune-inflammation index (SII), a novel marker of inflammation, and overall mortality rates as well as mortality rates due to specific causes in individuals with asthma.

METHODS

We analyzed data from the National Health and Nutrition Examination Survey (NHANES) covering a 20-year period, from 1999 to 2018. To examine the association between SII and mortality rates in asthma patients, we used a combination of statistical methods, including weighted Kaplan-Meier analysis and multivariate-adjusted Cox analysis. Additionally, we applied restricted cubic spline (RCS) analysis to investigate the potential non-linear relationship between these variables. To further validate our findings, we performed subgroup and sensitivity analyses to ensure the reliability of the results.

RESULTS

This study analyzed data from 5,384 individuals with asthma, finding a link between increased SII levels and a higher risk of death from all-cause, cardiovascular disease and respiratory disease, but no association with cancer mortality. There were J-shaped non-linear relationships between SII and all-cause, cardiovascular and respiratory diseases mortality in asthma patients. The inflection points were 326, 350 and 355, respectively. Below these inflection points, each 100-unit increase in SII was associated with a decrease in mortality by 8%, 11% and 10%, while above these thresholds, mortality rates increased by 4%, 4%, and 3%, respectively. Subgroup analyses showed that SII was a significant predictor of all-cause mortality across various subgroups, and sensitivity analyses confirmed these findings, with the highest SII group consistently showing higher mortality rates for all-cause, cardiovascular, and respiratory disease mortality in the fully adjusted model.

CONCLUSIONS

Our study initially demonstrated a strong link between elevated SII levels and a higher risk of death from all-cause, cardiovascular disease, and respiratory disease in individuals with asthma. Furthermore, our analysis showed that the relationship between SII and mortality rates in asthma patients followed a non-linear, J-shaped pattern for all-cause, cardiovascular, and respiratory disease mortality.

CLINICAL TRIAL NUMBER

Clinical trial number not applicable.

The association between systemic immune-inflammation index and prostate-specific antigen: Results from NHANES 2003-2010

PURPOSE

Current research has not extensively explored the correlation between Systemic Inflammatory Index (SII) and prostate-specific antibody (PSA) levels. This study aimed to investigate the relationship between the SII and PSA levels in American males aged > 40 years without prostate cancer.

METHODS

Data were obtained from the 2003-2010 National Health and Nutrition Examination Survey (NHANES). Patients without complete SII or PSA data were excluded. Multiple linear regression models were used to investigate the possibility of a linear association between the SII and PSA levels. Fitted smoothed curves and threshold effect analyses were used to characterize the nonlinear relationships.

RESULTS

The study included 5982 male participants over the age of 40 years from the United States. The average SII (mean ± standard deviation) was 562.78 ± 355.60. The mean value of PSA was 1.85 ± 3.24. The results showed that SII exhibited a positive correlation with PSA (β = 0.0005, 95% CI: (0.0002, 0.0007)), and an interaction test indicated that the effects of age, body mass index, hypertension, and diabetes were not significant for this positive correlation between SII and PSA (all P > 0.05). We discovered an inverted U-shaped connection between the SII and PSA with a turning point (K) of 1168.18 by using a two-segment linear regression model. To the left of the turning point, there was a positive connection between SII and PSA (β = 0.0009,95% CI: (0.0006, 0.0012); P < 0.0001).

CONCLUSION

In the population of men over 40 years old without prostate cancer, SII and PSA exhibited a non-linear relationship. Specifically, there was a positive correlation between SII and PSA levels when the SII value was < 1168.18.

Association between dust exposure and lung function levels in steelworkers: mediation analysis of inflammatory biomarkers

PURPOSE

This investigation aimed to examine the mediating effect of inflammatory biomarkers on the relationship between dust exposure and lung function levels among steelworkers.

METHODS

The study comprised 2,315 front-line workers employed at an iron and steel company in Tangshan, who underwent occupational health assessments through cluster sampling. Demographic and lifestyle data were collected via a self-administered questionnaire, while physical examinations measured parameters such as height and weight. Lung function was assessed using a portable pulmonary function tester (CHEST). Blood cell counts were uniformly analyzed using a Mindray fully automated biochemistry analyzer (BS-800). Inflammatory biomarkers, including leukocyte count, neutrophil count, lymphocyte count, and platelet count, were assessed, and the neutrophil-to-lymphocyte ratio and systemic immune inflammation index were computed. Generalized linear models and Spearman rank correlation analyses were employed to explore the interplay among dust exposure, inflammatory biomarkers, and alterations in lung function. A mediation analysis model was constructed to elucidate how inflammatory biomarkers mediate the relationship between dust exposure and lung function levels.

RESULTS

After adjusting for covariates, dust exposure was significantly associated with reduced lung function levels, with statistically significant differences observed between dust-exposed and non-exposed groups across various lung function indicators (P < 0.001). In the dust-exposed group, inflammatory biomarkers were elevated, showing significant correlations with FVC and FEV1 (P < 0.05). However, the correlation between FEV1/FVC and various inflammatory biomarkers was insignificant (P > 0.05). Mediation analysis revealed that white blood cells and neutrophils partially mediated the association between dust exposure and FVC, with proportions of 1.75% and 1.09%, respectively. Similarly, white blood cells, neutrophils, and the systemic immune inflammation index partially mediated the association between dust exposure and FEV1, with proportions of 1.15%, 0.82%, and 0.82%, respectively.

CONCLUSION

In conclusion, dust exposure poses a risk for decreased lung function levels. Inflammatory biomarkers derived from blood cells offer a valuable and easily obtainable means of identifying changes in lungfunction levels. Among these biomarkers, white blood cells, neutrophils, and the systemic immune inflammation index significantly mediate the association between dust exposure and lung function levels, although further exploration is needed to understand their underlying mechanisms.

Neutrophil count predicts the complete response after transarterial chemoembolization related to favorable outcome in hepatocellular carcinoma

BACKGROUND

Systemic inflammatory markers have emerged as novel prognostic biomarkers associated with prognosis for tumors. This study aims to investigate the predictive value of systemic inflammatory markers for complete response (CR) in patients with hepatocellular carcinoma (HCC) who underwent transarterial chemoembolization (TACE).

METHODS

This retrospective study enrolled 575 HCC patients undergoing TACE. Survival outcomes were evaluated based on tumor response, and the analysis was conducted using a Kaplan-Meier curve. Predictive factors for achieving a CR after the initial TACE were analyzed by univariate and multivariate analyses in a Cox regression model.

RESULTS

After the initial TACE, 246 of 575 (42.8%) patients achieved a CR. During a median of 60 months follow-up, the CR group had better overall survival than non-CR group (median: 82.3 vs. 51.6 months, P < 0.001). Pre-TACE neutrophil count was associated with tumor response (P = 0.06). Multivariate analysis showed that hepatitis B virus infection [hazard ratio (HR) = 0.585, 95% confidence interval (CI) = 0.360-0.952, P = 0.031] and pre-TACE neutrophil count (HR = 2.854, 95% CI = 1.115-7.307, P = 0.029) were independent predictive factors for CR after the initial TACE. Additionally, a high pre-TACE neutrophil count was associated with male gender (P < 0.001), large tumor size (P < 0.001), advanced Barcelona Clinic Liver Cancer stage (P = 0.003), and high protein induced by vitamin K absence or antagonist-II level (P < 0.001).

CONCLUSION

Patients who achieved CR after the initial TACE showed a favorable prognosis. Pre-TACE neutrophil count was found to be an independent predictor of CR. These findings offer valuable insights for identifying patients who would derive the greatest benefit from TACE and for distinguishing those who may require alternative treatment approaches for HCC.

Inflammation indices in association with periodontitis and cancer

Inflammation is a complex physiological process that plays a pivotal role in many if not all pathological conditions, including infectious as well as inflammatory diseases, like periodontitis and autoimmune disorders. Inflammatory response to periodontal biofilms and tissue destruction in periodontitis is associated with the release of inflammatory mediators. Chronic inflammation can promote the development of cancer. Persistence of inflammatory mediators plays a crucial role in this process. Quantification and monitoring of the severity of inflammation in relation to cancer is essential. Periodontitis is mainly quantified based on the severity and extent of attachment loss and/or pocket probing depth, in addition with bleeding on probing. In recent years, studies started to investigate inflammation indices in association with periodontal diseases. To date, only few reviews have been published focusing on the relationship between blood cell count, inflammation indices, and periodontitis. This review presents a comprehensive overview of different systemic inflammation indices, their methods of measurement, and the clinical applications in relation to periodontitis and cancer. This review outlines the physiological basis of inflammation and the underlying cellular and molecular mechanisms of the parameters described. Key inflammation indices are commonly utilized in periodontology such as the neutrophil to lymphocyte ratio. Inflammation indices like the platelet to lymphocyte ratio, platelet distribution width, plateletcrit, red blood cell distribution width, lymphocyte to monocyte ratio, delta neutrophil index, and the systemic immune inflammation index are also used in hospital settings and will be discussed. The clinical roles and limitations, relationship to systemic diseases as well as their association to periodontitis and treatment response are described.

Association Between Systemic Immune-Inflammation Index and Psoriasis, Psoriasis Comorbidities, and All-Cause Mortality: A Study Based on NHANES

OBJECTIVE

The relationship between systemic immune-inflammation index (SII) and psoriasis and its prognosis is not yet clear. In this study, the correlation between SII and psoriasis, psoriasis comorbidities, and all-cause mortality was investigated based on the National Health and Nutrition Examination Survey (NHANES).

METHODS

The study population was derived from five NHANES cycles: 2003-2006, 2009-2014, and survival follow-up was as of December 31, 2019. The association between SII and psoriasis and its comorbidities was analyzed using weighted multivariate logistic regression models. Weighted COX regression was used to calculate hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs). Restricted cubic spline, subgroup and sensitivity analyses were also used. Logarithmic conversion was performed on SII(log2SII) to reduce the impact of outliers.

RESULTS

A total of 21,431 participants were included in this study. As a continuous variable, log2SII was significantly associated with psoriasis in the fully adjusted model [OR = 1.20(1.04-1.39), p = .01]. log2SII remained positively associated with psoriasis after excluding participants with a history of cancer or cardiovascular disease (CVD), or non-Hispanic black participants. Among psoriasis patients, log2SII was significantly associated with metabolic syndrome (MetS) [OR = 1.68(1.19,2.38), p = .004] and all-cause mortality [HR = 1.48(1.09,1.99), p = .01]. Similar results were consistently observed when SII was analyzed as a categorical variable (in quartiles).

CONCLUSION

This study suggested a positive association between SII and the prevalence of psoriasis. Among psoriasis patients, SII was positively correlated with MetS and all-cause mortality.

Deep radiomics-based prognostic prediction of oral cancer using optical coherence tomography

BACKGROUND

This study aims to evaluate the integration of optical coherence tomography (OCT) and peripheral blood immune indicators for predicting oral cancer prognosis by artificial intelligence.

METHODS

In this study, we examined patients undergoing radical oral cancer resection and explored inherent relationships among clinical data, OCT images, and peripheral immune indicators for oral cancer prognosis. We firstly built a peripheral blood immune indicator-guided deep learning feature representation method for OCT images, and further integrated a multi-view prognostic radiomics model incorporating feature selection and logistic modeling. Thus, we can assess the prognostic impact of each indicator on oral cancer by quantifying OCT features.

RESULTS

We collected 289 oral mucosal samples from 68 patients, yielding 1,445 OCT images. Using our deep radiomics-based prognosis model, it achieved excellent discrimination for oral cancer prognosis with the area under the receiver operating characteristic curve (AUC) of 0.886, identifying systemic immune-inflammation index (SII) as the most informative feature for prognosis prediction. Additionally, the deep learning model also performed excellent results with 85.26% accuracy and 0.86 AUC in classifying the SII risk.

CONCLUSIONS

Our study effectively merged OCT imaging with peripheral blood immune indicators to create a deep learning-based model for inflammatory risk prediction in oral cancer. Additionally, we constructed a comprehensive multi-view radiomics model that utilizes deep learning features for accurate prognosis prediction. The study highlighted the significance of the SII as a crucial indicator for evaluating patient outcomes, corroborating our clinical statistical analyses. This integration underscores the potential of combining imaging and blood indicators in clinical decision-making.

TRIAL REGISTRATION

The clinical trial associated with this study was prospectively registered in the Chinese Clinical Trial Registry with the trial registration number (TRN) ChiCTR2200064861. The registration was completed on 2021.

Predictors of response to accelerated rTMS in the treatment of treatment-resistant depression

Accelerated repetitive transcranial magnetic stimulation (rTMS) is a promising treatment for treatment-resistant depression (TRD). We aimed to investigate the existence of clinical predictive factors in response to accelerated rTMS in the treatment of TRD. In total, 119 TRD patients who received accelerated rTMS were included in this study. The stimulation protocol was 15 Hz stimulation over the the left dorsolateral prefrontal cortex. The protocol consisted of 25 sessions, each session lasting 30 min for a total of 3000 pulses. Five sessions were applied per day for 5 consecutive days. At baseline (T0), day 5 (immediately after treatment) (T1), 4 weeks after treatment (T2), depression severity was evaluated using the 17-item Hamilton Depression Rating Scale (HAMD-17), cognitive function was evaluated using Wisconsin Card Sorting Test (WCST), the intensity of suicidal ideation was evaluated using the Columbia-Suicide Severity Rating Scale (C-SSRS). Systemic immune-inflammation index (SII) was calculated at T0 and T2. The HAMD-17 scores, WCST performance, the C-SSRS scores at T1 and T2 were improved from T0 (P < 0.01). The SII at T2 was lower than at T0 (P < 0.01). The response rates at T1 and T2 were 57.98% (69/119) and 48.74% (58/119), respectively. The results of binary logistic analysis showed that shorter course of depression, two failed antidepressant trials, no history of ECT treatment, and lower levels of SII were predictive factors for accelerated rTMS treatment response at T1 and T2 (P < 0.05), while not having a history of hospitalization was a predictive factor for response at T2 (P < 0.05) but not at T1 (P > 0.05). Based on ROC curve analysis, the optimal cut-off values of SII for discriminating responders from non-responders at T1 and T2 were < 478.56 and < 485.03, respectively. The AUC of SII at T0 predicting response for T1 and T2 were 0.729 and 0.797. We found several clinical predictors of better responses to the accelerated rTMS. Identifying clinical predictors of response is relevant to personalize and adapt rTMS protocols in TRD patients.

The current state of inflammation-related research in prostate cancer: a bibliometric analysis and systematic review

Background

Prostate cancer (PCa) is the second most prevalent malignancy among men globally. The diagnosis, treatment, and prognosis of prostate cancer frequently fall short of expectations. In recent years, the connection between inflammation and prostate cancer has attracted considerable attention. However, there is a lack of bibliometric studies analyzing the research on inflammation within the domain of prostate cancer.

Research methods

We utilized the Web of Science Core Collection (WOSCC) as our data source to extract articles and reviews related to inflammation in prostate cancer, published up until April 12, 2024. The collected data underwent meticulous manual screening, followed by bibliometric analysis and visualization using the Biblioshiny package in R.

Results

This study encompasses an analysis of 2,786 papers focusing on inflammation-related research within the realm of prostate cancer. Recent years have seen a significant proliferation of publications in this area, with the United States and China being the foremost contributors. The most prolific author in this domain is Demarzoam, with Johns Hopkins University standing out as the most influential institution. The leading journal in disseminating these studies is PROSTATE. Keyword co-occurrence analysis reveals that 'inflammation-related biomarkers', 'inflammation index', and 'tumor immune microenvironment' represent the current research hotspots and frontiers.

Conclusion

The findings of this bibliometric study serve to illuminate the current landscape of inflammation-related research in the field of prostate cancer, while further augmenting the discourse on inflammation-mediated cancer therapeutics. Of particular note is the potential of these discoveries to facilitate a more nuanced understanding among researchers regarding the interplay between inflammation and prostate cancer.

Phthalate exposure and markers of biological aging: The mediating role of inflammation and moderating role of dietary nutrient intake

Limited evidence has suggested a relationship between phthalate exposure and biological aging. This study investigated the association between phthalate exposure and biological aging, focusing on the mediating role of inflammation and the interaction with dietary nutrient intake. Data were analyzed from a nationwide cross-sectional survey comprising 12,994 participants aged 18 and above. Eight phthalate metabolites were detected in spot urine samples. Biological aging was assessed using the Klemera-Doubal method-biological age (KDM-BA) acceleration, phenotypic age (PA) acceleration, and homeostatic dysregulation (HD). The systemic immune-inflammation index (SII) evaluated systemic inflammation. The individual and combined associations between phthalate exposure and biological aging were assessed using linear regression, weighted quantile sum (WQS) regression, and quantile g-computation (qgcomp). The participants had a mean age of 47 years, with 50.7 % male and 44.8 % non-Hispanic white. Most phthalate metabolites were positively correlated with KDM-BA acceleration (β = 0.306-0.584), PA acceleration (β = 0.081-0.281), and HD (β = 0.016-0.026). Subgroup analysis indicated that men, older individuals, and non-Hispanic whites are particularly sensitive populations. WQS regression and qgcomp analyses consistently indicated a positive association between mixed phthalate exposure and HD, highlighting MEHHP as the most significant contributing metabolite. Mediation analyses showed inflammation partially mediated the association between phthalate metabolites and biological aging. Significant interactions regarding biological aging were found between specific phthalate metabolites and dietary nutrients (carotenoids, vitamins A, B1, B2, B6, B12, niacin, and selenium) intake. These findings indicated that the association between phthalate exposure and biological aging was mediated by inflammation, with nutrient intake mitigating this effect.

The relationship between complete blood cell count-derived inflammatory biomarkers and benign prostatic hyperplasia in middle-aged and elderly individuals in the United States: Evidence from NHANES 2001-2008

BACKGROUND

Benign prostatic hyperplasia (BPH) is a common health disorder of the male genitourinary system with a high prevalence, especially among middle-aged and older adults, which seriously affects men's quality of life. Inflammatory markers derived from complete blood cell count (CBC) have previously been considered a prognostic indicator for various diseases, but little is known about their relationship with BPH. This study evaluated the relationship between complete blood cell count (CBC)-derived inflammatory biomarkers and BPH.

METHODS

Data for this cross-sectional study were gathered from the National Health and Nutrition Examination Survey (NHANES) between 2001 and 2008. Using multiple logistic regressions, the study examined the association between benign prostatic hyperplasia(BPH) and Inflammatory biomarkers derived from blood cell counts such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), Systemic Inflammatory Response Index (SIRI) and Systemic Immunoinflammatory Index (SII).

RESULTS

3,919 participants were included, with a median age of 61.00 (52.00-71.00) years old. Among them, 609 participants had benign prostatic hyperplasia, with a prevalence of 15.54%. Upon accounting for confounding factors, the study revealed a positive correlation between the plurality of BPH PLR and SII. However, MLR, NLR, and SIRI did not significantly correlate with the prevalence of BPH (p>0.05). In contrast to the lowest quartile, higher quartiles of PLR (OR = 1.93[1.38-2.69]) and SII (OR = 1.71[1.22-2.40]) were linked to an elevated risk of BPH. Interaction tests showed that age, body mass index, hypertension, diabetes, smoking, and drinking had no significant effect on this positive correlation (p for interaction>0.05). In addition, we found a roughly linear association between SII, PLR, and BPH using smoothed curve fitting.

CONCLUSIONS

According to our research, high levels of PLR and SII are positively linked with an increased risk of BPH in middle-aged and elderly individuals in the United States. The results compensate for previous studies that still need to be validated with larger prospective cohorts.

Association between lymphocyte-to-monocyte ratio and prostate cancer in men: A population-based study

Using the novel inflammatory biomarker lymphocyte-to-monocyte ratio (LMR), this work aimed to look into any potential connections between LMR and prostate cancer (PCa). A cross-sectional research investigation was conducted on 7706 male participants involved in the National Health and Nutrition Examination Survey from 2001 to 2010. Multivariate logistic regression modeling investigated the relationship between LMR levels and PCa risk. Furthermore, threshold analysis, subgroup analysis, interaction testing, and smoothed curve fitting were carried out. A significant negative correlation was seen between LMR and PCa risk (OR = 0.79, 95% CI: 0.65-0.97, P = .0002), even after controlling for potential confounding factors. A significant nonlinear negative correlation with a threshold effect and a breakpoint of 4.86 was found by smooth curve fitting between LMR and PCa. Subgroup analysis revealed a significant interaction (P for interaction = 0.0448) between the negative correlation between PCa and LMR about hypertension. Moreover, additional stratified smoothed curve fitting demonstrated a statistically significant inverse relationship between PCa risk and LMR. According to our findings, there is a substantial inverse relationship between PCa risk and LMR level. The inflammatory response-related index is quick, easy to use, and offers some clinical references. However, more extensive prospective investigations are required to confirm the involvement of LMR levels in PCa.

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

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

Association of Exposure to Heavy Metal Mixtures with Systemic Immune-Inflammation Index Among US Adults in NHANES 2011-2016

In reality, people are often co-exposed to multiple heavy metals; however, current research has focused on the association between individual heavy metals and inflammation. Therefore, it is more relevant to explore the combined effects of multiple heavy metal exposure on inflammation. The study included data from the National Health and Nutrition Examination Survey (NHANES), 2011-2016. The systemic immune-inflammation index (SII) was used to reflect systemic immune-inflammation status. In this study, single variable models were used to assess the linear and non-linear relationships between single heavy metal exposures and SII. To analyze the combined effect of mixed heavy metals exposure on SII, we constructed three statistical models, including weighted quantile sum (WQS) regression, quantile-based g computation (qgcomp), and Bayesian kernel machine regression (BKMR). The single-exposure analysis found positive associations between multiple heavy metals and SII, while mercury in blood was negatively associated with SII, and U-shaped correlations were observed between blood lead, urine barium and strontium, and SII. In the WQS model, SII increased significantly with increasing concentrations of mixed heavy metals, while consistent results in the qgcomp model, but not statistically significant. In the BKMR model, exposure to heavy metal mixtures was positively associated with SII, with mercury, cadmium, and cobalt in urine contributing the most to the mixed exposure. In addition, synergistic and antagonistic effects between heavy metals on increasing SII were found in our study. In summary, our results reveal that combined exposure to multiple heavy metals is positively associated with SII in the US adults.

Depression heightened the association of the systemic immune-inflammation index with all-cause mortality among osteoarthritis patient

BACKGROUND

Systemic immune-inflammatory index (SII) has been recognized as a novel inflammatory indicator in numerous diseases. It remains unknown how SII affects all-cause mortality among patients with osteoarthritis (OA). In this prospective cohort study, we intended to examine the relationship of SII with all-cause mortality among OA populations and assess the interaction between depression and SII.

METHODS

Data was collected from National Health and Nutrition Examination Survey (NHANES) in 2005-2018. The National Death Index (NDI) provided vital status records. Multivariable Cox regression analyses with cubic spines were applied to estimate the association between SII and all-cause and CVD mortality. Stratified analysis and interaction tests assessed the interaction of SII and depression on all-cause mortality.

RESULTS

In total 3174 OA adults were included. The lowest quartile Q1 (HR:1.44, 95%CI:1.02-2.04) and highest quartile Q4 (HR:1.44, 95%CI:1.02-2.04) of SII presented a higher risk of death compared with those in second quartile Q2 (Ref.) and third quartile Q3 (HR:1.23, 95%CI:0.89-1.68. Restricted cubic splines analysis revealed a U-shaped association of SII with all-cause mortality, the inflection points were 412.93 × 109/L. The interaction test observed a more significant relationship of SII with all-cause mortality in depression patients than in non-depression patients, indicating that depression can modify this association.

LIMITATIONS

First, the observational study design failed to make causal inferences. Second, the baseline SII cannot reflect the long-term level of inflammation. Finally, there may be potential bias.

CONCLUSION

SII was U-shaped associated with all-cause mortality in OA patients, and this association was significantly heightened by depression.

The association of systemic immune-inflammation index with lung function, risk of COPD and COPD severity: A population-based study

PURPOSE

The relationship between the levels of Systemic Immune-inflammation Index (SII) and chronic obstructive pulmonary disease (COPD), lung function, and COPD severity were not fully understood. We conducted this cross-sectional, population-based study to investigate the complex association between SII and COPD, lung function, and COPD severity among the US adults.

METHODS

Overall, 18,349 participants were included in the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018. The exposure variable was SII, calculated from platelet counts, neutrophil counts, and lymphocyte counts. Weighted univariable and multivariable logistic regression, subgroup analysis, and restricted cubic spline (RCS) regression were performed to assess the relationship between COPD, lung function, COPD severity and SII. Last, we used a propensity score matching (PSM) analysis to reduce selective bias and validate these relationships.

RESULTS

Approximately 1,094 (5.96%) of the participants were diagnosed as COPD. The multivariable-adjusted odds ratio (OR) (95% confidence interval, CI) for the Q2 group (Log-SII > 2.740) was 1.39 (1.16 to 1.68). Before and after matching, multivariable logistic regression models revealed that increased Log-SII levels (SII Logarithmic transformation) associated positively with the risk of COPD. The subgroup analysis showed no interaction between Log-SII and a variety of variables (P for interaction > 0.05). RCS showed a reversed L-shaped relationship between Log-SII with COPD (P for nonlinear = 0.001) in individuals. In addition, we observed negative significant correlations between forced expiratory volume in one second (FEV1) / forced vital capacity (FVC) %, FEV1/FVC% predicted and SII, and reversed U-shaped curve relationships between FEV1, FEV1% predicted and SII. High SII level is associated with severity of COPD, especially at Global Initiative on Obstructive Lung Disease (GOLD) 1 and GOLD 3.

CONCLUSIONS

In summary, the Log-SII level is associated with COPD risk, lung function, and COPD severity.

Associations of ω-3, ω-6 polyunsaturated fatty acids intake and ω-6: ω-3 ratio with systemic immune and inflammatory biomarkers: NHANES 1999-2020

Background

In recent years, diseases caused by abnormal immune-inflammatory responses have become increasingly severe. Dietary intervention involving omega-3 polyunsaturated fatty acids (ω-3 PUFAs) has emerged as a potential treatment. However, research investigating the relationship between ω-3, ω-6 PUFAs, and ω-6 to ω-3 ratio with inflammatory biomarkers remains controversial.

Methods

To investigate the correlation between the intake of ω-3 and ω-6 PUFAs and the ratio of ω-6: ω-3 with biomarkers of inflammation, the National Health and Nutrition Examination Survey (NHANES) data (1999 to 2020) was utilized. The systemic immune-inflammation index (SII), platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), and white blood cell (WBC) were selected as study subjects. Dietary data for ω-3 and ω-6 PUFAs were collected via two 24-h dietary recall interviews. SII index and other indicators were obtained from the blood routine data. The multiple linear regression and restricted cubic spline models were utilized to evaluate the association of ω-3, ω-6 PUFAs intake, and ω-6: ω-3 ratio to SII and secondary measures.

Results

This study involved a total of 43,155 American adults. ω-3 and ω-6 PUFAs exhibited negative correlations with SII, PLR, NLR, and WBC. The correlation between ω-6: ω-3 ratio and SII, PLR, NLR, and WBC was not significant. Furthermore, the dose-response relationship showed that the relationship between the intake of ω-3 and ω-6 PUFAs and SII was an "L" pattern.

Conclusion

Intake of dietary ω-3 and ω-6 PUFAs reduces the levels of several inflammatory biomarkers in the body and exerts immunomodulatory effects.

Associations of systemic immune-inflammation index with high risk for prostate cancer in middle-aged and older US males: A population-based study

BACKGROUND

Systemic immune-inflammation index (SII) provides convincing evaluation of systemic immune and inflammatory condition in human body. Its correlation with prostate cancer (PCa) risk remains uncharted. The principal objective of this investigation was to elucidate the association between SII and the risk for PCa in middle-aged and elderly males.

MATERIALS AND METHODS

Analysis entailed multivariate linear and logistic regression, generalized additive model, and smoothing curve fitting using resource from 2007 to 2010 National Health and Nutrition Examination Survey (NHANES). To ascertain robustness and consistency of this association across different demographic strata, we conducted rigorous subgroup analyses and interaction tests.

RESULTS

Among 3359 participants, those with elevated SII displayed higher total prostate-specific antigen (tPSA) levels, higher risk for PCa, and lower free/total PSA (f/t PSA) ratio. Specifically, each unit increase of log2 (SII) was associated with a 0.22 ng/mL increase in tPSA (β: 0.22, 95% confidence intervals [CI] 0.05-0.38), a 2.22% decline in f/t PSA ratio (β: -2.22, 95% CI -3.20 to -1.23), and a 52% increased odds of being at high risk for PCa (odds ratio [OR]: 1.52, 95% CI 1.13-2.04). People in the top quartile of log2 (SII) exhibited 0.55 ng/mL increased tPSA (β: 0.55, 95% CI 0.19-0.90), 4.39% reduced f/t PSA ratio (β: -4.39, 95% CI -6.50 to -2.27), and 168% increased odds of being at high risk for PCa (OR: 2.68, 95% CI 1.32-5.46) compared to those in the bottom quartile.

CONCLUSION

Systemic immune and inflammatory condition, as represented by SII, is independently and positively associated with tPSA levels and the risk for PCa, as well as independently and negatively associated with f/t PSA ratio among middle-aged and older US males. These findings may enhance the effectiveness of PCa screening in predicting positive biopsy results.

The predictive value of systemic immune-inflammation index for vascular access survival in chronic hemodialysis patients

Objective

To examine the prognostic values of systemic immune-inflammation indices of hemodialysis (HD) vascular access failure and develop a prediction model for vascular access failure based on the most pertinent systemic immune-inflammation index.

Study design

A prospective cohort study.

Setting & participants

Patients undergoing autogenous HD vascular access surgeries or arteriovenous graft as a permanent hemodialysis access in a tertiary center in southwest China from January 2020 to June 2022.

Predictors

Systemic immune-inflammation indices, including NLR, dNLR, AAPR, SIRI, SII, PNI, PLR, and LIPI, and clinical variables.

Outcomes

The outcome was defined as survival of the hemodialysis access, with both occluded and stenotic access being considered as instances of access failure.

Analytical approach

Cox proportional hazard regression model.

Results

2690 patients were included in the study population, of whom 658 experienced access failure during the follow-up period. The median duration of survival for HD vascular access was 18 months. The increased systemic immune-inflammation indices, including dNLR, NLR, SII, PNI, SIRI, PLR, and LIPI, are predictive of HD access failure, with SII demonstrating the strongest prognostic value. A simple SII-based prediction model for HD access failure was developed, achieving C-indexes of 0.6314 (95% CI: 0.6249 - 0.6589) and 0.6441 (95% CI: 0.6212 - 0.6670) for predicting 6- and 12-month access survival, respectively.

Conclusions

Systemic immune-inflammation indices are significantly and negatively associated with HD vascular access survival. A simple SII-based prediction model was developed and anticipates further improvement through larger study cohort and validation from diverse centers.

Assessment of the Effect on Periodontitis of Antibiotic Therapy and Bacterial Lysate Treatment

Periodontitis is an inflammatory process that starts with soft tissue inflammation caused by the intervention of oral bacteria. By modulating local immunity, it is possible to supplement or replace current therapeutic methods. The aim of this study was to compare the effects of an immunostimulatory treatment with the antibiotherapy usually applied to periodontitis patients. On a model of periodontitis induced in 30 rats (divided into three equal groups) with bacterial strains selected from the human oral microbiome (Aggregatibacter actinomycetemcomitans, Fusobacterium nucleatum and Streptococcus oralis), we administered antibiotics, bacterial lysates and saline for 10 days. Clinically, no significant lesions were observed between the groups, but hematologically, we detected a decrease in lymphocyte and neutrophil counts in both the antibiotic and lysate-treated groups. Immunologically, IL-6 remained elevated compared to the saline group, denoting the body's effort to compensate for bone loss due to bacterial action. Histopathologically, the results show more pronounced oral tissue regeneration in the antibiotic group and a reduced inflammatory reaction in the lysate group. We can conclude that the proposed bacterial lysate has similar effects to antibiotic therapy and can be considered an option in treating periodontitis, thus eliminating the unnecessary use of antibiotics.

Depressive Symptoms, Systemic Inflammation, and Survival Among Patients With Head and Neck Cancer

IMPORTANCE

Patients with head and neck cancer experience high rates of depression. Depression and systemic inflammation have been found to be associated in numerous cancer types, often independently from disease status. Depression-related inflammation may elevate the risks for poor tumor response to treatment and early mortality, and comprises a mechanism by which depression is associated with survival in head and neck cancer.

OBJECTIVE

To assess mediation pathways incorporating pretreatment depressive symptoms, pretreatment inflammation, and tumor response posttreatment on overall survival among patients with head and neck cancer.

DESIGN, SETTING, AND PARTICIPANTS

This was a prospective observational cohort study of patients with head and neck cancer treated in a single multidisciplinary head and neck cancer clinic from May 10, 2013, to December 30, 2019, and followed up for 2 years. Data analysis was performed from June 29, 2022, to June 23, 2023.

EXPOSURES

Patient-reported depressive symptoms using the Patient Health Questionnaire-9 item (PHQ-9) at treatment planning; pretreatment hematology workup for systemic inflammation index (SII) score; and clinical data review for tumor response (complete vs incomplete) and overall survival.

MAIN OUTCOMES

Two-year overall survival.

RESULTS

The total study cohort included 394 patients (mean [SD] age, 62.5 [11.5] years; 277 [70.3%] males) with head and neck cancer. Among 285 patients (72.3%) who scored below the clinical cutoff for depression on the PHQ-9, depressive symptoms were significantly associated with inflammation (partial r, 0.168; 95% CI, 0.007-0.038). In addition, both depression and inflammation were associated with early mortality (PHQ-9: hazard ratio [HR], 1.04; 95% CI, 1.02-1.07; SII: HR, 1.36; 95% CI, 1.08-1.71). The depression-survival association was fully mediated by inflammation (HR, 1.28; 95% CI, 1.00-1.64). Depressive symptoms were also associated with poorer tumor response (odds ratio, 1.05; 95% CI, 1.01-1.08), and the depression-survival association was partially mediated by tumor response (HR, 9.44; 95% CI, 6.23-14.32). Systemic inflammation was not associated with tumor response.

CONCLUSIONS

In this cohort study, systemic inflammation emerged as a novel candidate mechanism of the association of depression with mortality. Tumor response partially mediated effects of depression on mortality, replicating prior work. Thus, depression stands out as a highly feasible target for renewed clinical attention. Even mild symptoms of depression during the treatment-planning phase may be associated with higher systemic inflammation in addition to poorer tumor response to treatment and survival outcomes; therefore, depression should be clinically addressed.

Associations between trans fatty acids and systemic immune-inflammation index: a cross-sectional study

BACKGROUND

Previous studies have demonstrated that trans fatty acids (TFAs) intake was linked to an increased risk of chronic diseases. As a novel systemic inflammatory biomarker, the clinical value and efficacy of the systemic immune-inflammation index (SII) have been widely explored. However, the association between TFAs and SII is still unclear. Therefore, the study aims to investigate the connection between TFAs and SII in US adults.

METHODS

The study retrieved data from the National Health and Nutrition Examination Survey (NHANES) for the years 1999-2000 and 2009-2010. Following the exclusion of ineligible participants, the study encompassed a total of 3047 individuals. The research employed a multivariate linear regression model to investigate the connection between circulating TFAs and SII. Furthermore, the restricted cubic spline (RCS) model was utilized to evaluate the potential nonlinear association. Subgroup analysis was also conducted to investigate the latent interactive factors.

RESULTS

In this investigation, participants exhibited a mean age of 47.40 years, with 53.91% of them being female. Utilizing a multivariate linear regression model, the independent positive associations between the log2-transformed palmitelaidic acid, the log2 transformed-vaccenic acid, the log2-transformed elaidic acid, the log2-transformed linolelaidic acid, and the log2-transformed-total sum of TFAs with the SII (all P < 0.05) were noted. In the RCS analysis, no nonlinear relationship was observed between the log2-transformed palmitelaidic acid, the log2 transformed-vaccenic acid, the log2-transformed elaidic acid, the log2-transformed linolelaidic acid, the log2-transformed-total sum of TFAs and the SII (all P for nonlinear > 0.05). For the stratified analysis, the relationship between the circulating TFAs and the SII differed by the obesity status and the smoking status.

CONCLUSIONS

A positive association was investigated between three types of TFA, the sum of TFAs, and the SII in the US population. Additional rigorously designed studies are needed to verify the results and explore the potential mechanism.

Prognostic value of pretreatment systemic immune-inflammation index in patients with endometrial cancer: a meta-analysis

Background: The present work focused on evaluating the systemic immune-inflammation index (SII) for its role in predicting endometrial cancer (EC) patient prognosis by meta-analysis. Methods: SII's role in predicting the prognosis of EC patients was analyzed by calculating combined hazard ratios (HRs) and 95% CIs. Results: As revealed by combined analysis, an increased SII predicted poor overall survival (HR = 2.01; 95% CI = 1.58-2.57; p < 0.001) as well as inferior progression-free survival (HR = 1.87; 95% CI = 1.36-2.58; p < 0.001) of EC. Conclusion: An increased SII score significantly predicted poor overall survival and progression-free survival in subjects with EC. The SII is suitable for predicting short- and long-term prognoses of patients with EC.

J-shaped association between systemic immune-inflammation index and periodontitis: Results from NHANES 2009-2014

BACKGROUND

To examine the relationship between the systemic immune-inflammation index (SII) and periodontitis and to investigate possible effect modifiers.

METHODS

Data used in the present cross-sectional study are from the National Health and Nutrition Examination Survey (NHANES) 2009-2014 (N = 10,301). The SII was calculated using the following formula: (neutrophils count × platelet count)/lymphocytes count. The category of periodontitis was defined by the Centers for Disease Control and Prevention and American Academy of Periodontology (CDC/AAP) classification. We employed natural cubic spline and multivariable logistic regression analyses to evaluate the associations of the SII with periodontitis.

RESULTS

The associations between SII and periodontal health followed a J-shape (p < 0.001). The risk of periodontitis tended to reduce with the increment of log2(SII) in participants with log2(SII) ≤ 8.66 (odds radio [OR] = 0.83; 95% CI: 0.69-0.999), especially among non-Hispanic Whites (OR = 0.70; 95% CI: 0.52-0.95), and increased with the increment of log2(SII) in participants with log2(SII) > 8.66 (OR = 1.19; 95% CI: 1.02-1.38). A similar trend was also observed between the SII and the number of sites with probing pocket depth (PPD) ≥4 mm and clinical attachment loss (CAL) ≥ 3 or 5 mm. Furthermore, we found a significantly stronger correlation between lymphocytes and either neutrophils or platelets in individuals with log2(SII) > 8.66, as opposed to those with log2(SII) ≤ 8.66.

CONCLUSIONS

There is a J-shaped association between SII and periodontitis in US adults, with an inflection point of log2(SII) at 8.66, which may provide potential adjunctive treatment strategies for periodontitis with different immune response states. Further prospective trials are still required to confirm our findings.

Association between immune-inflammatory indexes and lower urinary tract symptoms: an analysis of cross-sectional data from the US National Health and Nutrition Examination Survey (2005-2008)

OBJECTIVE

This study aimed to systematically investigate the relationship between immune-inflammatory indexes with lower urinary tract symptoms (LUTSs).

DESIGN

Cross-sectional study.

SETTING

National Health and Nutrition Examination Survey (NHANES) (2005-2008).

PARTICIPANTS

A total of 2709 men with complete information for immune-inflammatory indexes and LUTSs were included from NHANES 2005-2008.

OUTCOMES AND ANALYSES

Automated haematology analysing devices are used to measure blood cell counts, and LUTSs were presented by standard questionnaires. Non-linear and logistic regression analyses were used to estimate their association after adjustment for confounders.

RESULTS

Multivariate logistic regression showed that pan-immune-inflammation value (OR (95% CI)=1.60 (1.14 to 2.23)), systemic inflammation response index (SIRI) (OR (95% CI)=1.82 (1.21 to 2.73)), neutrophil/lymphocyte ratio (NLR) (OR (95% CI)=1.81 (1.31 to 2.49)), derived NLR (dNLR) (OR (95% CI)=1.91 (1.35 to 2.70)) and C reactive protein (CRP) (OR (95% CI)=1.71 (1.05 to 2.79)) was positively associated with LUTS. Additionally, composite immune-inflammation markers exhibited a stronger association with LUTS than any single index, with the ORs for high SIRI+high CRP, high NLR+high CRP and high dNLR+high CRP being 2.26, 2.44 and 2.16, respectively (all p<0.05). Furthermore, subgroup analyses revealed that age, smoking status and hypertension have different effects on the relationship between immune-inflammatory markers and LUTS.

CONCLUSIONS

This study indicated that high levels of immune-inflammatory markers were associated with an increased risk of clinical LUTS. The combination of CRP with SIRI, NLR and dNLR, respectively, showed a stronger positive correlation with clinical LUTS compared with any single index.

Systemic Immune-Inflammation Index and Systemic Inflammatory Response Index as Predictors of Mortality in ST-Elevation Myocardial Infarction

(1) Background: The systemic inflammatory response index (SIRI; neutrophil count × monocyte/lymphocyte count), and the systemic immune-inflammation index (SII; platelet count × neutrophil count/lymphocyte count) are recently proposed biomarkers to assess the immune and inflammatory status. However, data on SIRI and SII are still relatively lacking and do not definitively and exhaustively define their role as predictors of an adverse prognosis in acute myocardial infarction (AMI). The aim of the present study was to evaluate SII and SIRI determinants as well as to assess SIRI and SII prognostic power in ST-elevation myocardial infarction (STEMI). (2) Methods: A total of 105 STEMI patients (74 males, 70 ± 11 years) were studied (median follow-up 54 ± 25 months, 24 deaths). (3) Results: The main determinants of SIRI and SII were creatinine and brain natriuretic peptide (BNP) (multivariate regression). Patients with higher SIRI (>75th percentile, 4.9) and SII (>75th percentile, 1257.5) had lower survival rates than those in the low SIRI/SII group (Kaplan-Meier analysis). Univariate Cox regression revealed that high SIRI and SII were associated with mortality (HR: 2.6, 95% CI: 1.1-5.8, p < 0.05; 2.2, 1-4.9, p ≤ 0.05, respectively); however, these associations lost their significance after multivariate adjustment. (4) Conclusions: SIRI and SII association with mortality was significantly affected by confounding factors in our population, especially creatinine and BNP, which are associated with both the inflammatory indices and the outcome.

Comparison of PIV and Other Immune Inflammation Markers of Oncological and Survival Outcomes in Patients Undergoing Radical Cystectomy

Inflammation is widely acknowledged as a significant characteristic of cancer, playing a substantial function in both the initiation and advancement of cancers. In this research, we planned to compare pan-immune inflammation markers and other well-known markers (systemic immune inflammation index and neutrophil to lymphocyte ratio) to predict prognosis in individuals treated with radical cystectomy for bladder cancer.

METHODS

In this retrospective analysis, we focused on preoperative PIV, systemic immune inflammation index (SII), and neutrophil-lymphocyte ratio (NLR) in 193 individuals managed with radical cystectomy for bladder cancer between January 2016 and November 2022. Multivariable logistic regression assessments were performed to assess the predictive capabilities of PIV, SII, and NLR for infiltration of lymph nodes (N), aggressive tumor stage (pT3/pT4), and any non-organ limited disease at the time of RC. Multivariable Cox regression analyses were conducted to assess the predictive impact of PIV on Relapse-free survival (RFS), Cancer-specific survival (CSS), and Overall survival (OS).

RESULTS

Our individuals were divided into high PIV and low PIV cohorts using the optimal cut-off value (340.96 × 109/L) based on receiver operating characteristic curve analysis for relapse-free survival. In multivariable preoperative logistic regression models, only SII and PIV correlated with the infiltration of lymph nodes, aggressive disease, and any non-organ confined disease. In multivariable Cox regression models considering presurgical clinicopathological variables, a higher PIV was associated with diminished RFS (p = 0.017) and OS (p = 0.029). In addition, in multivariable Cox regression models for postoperative outcomes, a high PIV correlated with both RFS (p = 0.034) and OS (p = 0.048).

CONCLUSIONS

Our study suggests that PIV and SII are two very similar markers that may serve as independent and significant predictors of aggressive disease and worse survival impacts on individuals undergoing radical cystectomy for bladder neoplasm.

Association between preoperative systemic immune inflammation index and postoperative sepsis in patients with intestinal obstruction: A retrospective observational cohort study

BACKGROUND

Sepsis is a severe complication that results in increased morbidity and mortality after intestinal obstruction surgery. This study examined the role of preoperative systemic immune inflammation index (SII) for postoperative sepsis in intestinal obstruction patients.

METHODS

Data on patients who underwent intestinal obstruction surgery were collected. SII was determined and separated into two groups (≤1792.19 and >1792.19) according to the optimal cut-off value of SII for postoperative sepsis. The odds ratio (OR) is calculated for the correlation between SII and postoperative sepsis. Additional analyses were used to estimate the robustness of SII.

RESULTS

A total of 371 intestinal obstruction patients undergoing surgery were included in the final cohort, and 60 (16.17%) patients developed postoperative sepsis. Patients with an SII ＞1792.19 had a significantly higher risk for developing postoperative sepsis after multivariable adjustment [adjusted odds ratio = 2.12, 95% confidence interval: [1.02-4.40]]. The analysis of interaction showed no correlation between the preoperative SII and postoperative sepsis regarding age, hypertension, American Society of Anesthesiologists classification, blood loss, albumin, hemoglobin, creatinine, and leukocyte (all interactions p > .05). In subgroup analysis, all statistically significant subgroups showed that SII was a risk factor for postoperative sepsis (all p < .05). The analyses of subgroups and interactions revealed that the interaction effect of a preoperative SII ＞1792.19 and postoperative sepsis remained significant. A sensitivity analysis confirmed the robustness of the results.

CONCLUSIONS

A preoperative SII ＞ 1792.19 was a risk factor for postoperative sepsis in patients undergoing intestinal obstruction surgery.

The diagnostic role of the systemic inflammation index in patients with immunological diseases: a systematic review and meta-analysis

The identification of novel, easily measurable biomarkers of inflammation might enhance the diagnosis and management of immunological diseases (IDs). We conducted a systematic review and meta-analysis to investigate an emerging biomarker derived from the full blood count, the systemic inflammation index (SII), in patients with IDs and healthy controls. We searched Scopus, PubMed, and Web of Science from inception to 12 December 2023 for relevant articles and evaluated the risk of bias and the certainty of evidence using the Joanna Briggs Checklist and the Grades of Recommendation, Assessment, Development, and Evaluation Working Group system, respectively. In 16 eligible studies, patients with IDs had a significantly higher SII when compared to controls (standard mean difference, SMD = 1.08, 95% CI 0.75 to 1.41, p < 0.001; I2 = 96.2%, p < 0.001; moderate certainty of evidence). The pooled area under the curve (AUC) for diagnostic accuracy was 0.85 (95% CI 0.82-0.88). In subgroup analysis, the effect size was significant across different types of ID, barring systemic lupus erythematosus (p = 0.20). In further analyses, the SII was significantly higher in ID patients with active disease vs. those in remission (SMD = 0.81, 95% CI 0.34-1.27, p < 0.001; I2 = 93.6%, p < 0.001; moderate certainty of evidence). The pooled AUC was 0.74 (95% CI 0.70-0.78). Our study suggests that the SII can effectively discriminate between subjects with and without IDs and between ID patients with and without active disease. Prospective studies are warranted to determine whether the SII can enhance the diagnosis of IDs in routine practice. (PROSPERO registration number: CRD42023493142).

Multivariate analysis of prognostic factors in patients with lip squamous cell carcinoma after surgery

BACKGROUND

Lip squamous cell carcinoma (LSCC) was one of the most common cancer types of head and neck tumors. This study aimed to find more predictors of the prognosis in postoperative LSCC patients.

METHODS

A total of 147 LSCC patients between June 2012 and June 2018 were collected from two tertiary care institutions. There were 21 clinicopathological factors included and analyzed in our study. The univariate and multivariate Cox regression analyses were performed to find the independent prognostic factors for predicting progression-free survival (PFS) and overall survival (OS) in postoperative LSCC patients. The role of adjuvant radiotherapy in various subgroups was displayed by Kaplan-Meier plots.

RESULTS

The 1-, 3-, and 5-year PFS of postoperative LSCC patients were 88.4%, 70.1%, and 57.8%, respectively. Similarly, the 1-, 3-, and 5-year OS of postoperative LSCC patients were 94.6%, 76.9%, and 69.4%, respectively. The results suggested that postoperative LSCC patients with age at diagnosis ≥ 70 years, grade with moderate or poor differentiate, the American Joint Committee on Cancer (AJCC) stage IV, higher systemic immune-inflammation index (SII), surgical margin < 5, and age-adjusted Charlson Comorbidity Index (ACCI) ≥ 5 tend to have a poorer PFS (all P < 0.05). Besides, postoperative LSCC patients with age at diagnosis ≥ 70 years, AJCC stage IV, higher GPS, higher SII, and ACCI ≥ 5 tend to have a worse OS (all P < 0.05). Additionally, postoperative patients with LSCC in the subgroup of ACCI < 5 and AJCC III-IV stage was more likely to benefit from adjuvant radiotherapy, but not for the other subgroups.

CONCLUSION

We identified a series of significant immune-inflammation-related and comorbidity-related clinicopathological factors associated with the prognosis of postoperative LSCC patients by local data from two tertiary care institutions in China, which can be helpful for patients and surgeons to pay more attention to nutrition, inflammation, and complications and finally obtained a better prognosis.

Prognostic value of the systemic immuno-inflammatory index in critically ill patients with vertebral fractures

Inflammation plays a critical role in vertebral fractures. However, there is a lack of sufficient evidence regarding the prognostic significance of the systemic immuno-inflammatory index (SII), a novel marker of systemic inflammation, in patients with vertebral fractures. In this study, we aimed to assess the predictive value of SII in critically ill patients with vertebral fractures. The data were from the Medical Information Mart for Intensive Care III (MIMIC-III) version 1.4 and Wenzhou Hospital of Traditional Chinese Medicine. The cutoff values for SII were determined using the receiver operating characteristic curve, and the subjects were grouped accordingly. The clinical outcome measured was mortality within 30 days, 90 days, or 1 year. The following formula was used to calculate the SII: SII = (platelet count) × (neutrophil count)/ (lymphocyte count). Cox proportional-hazard models were employed to assess the relationship between SII and survival. Additionally, propensity score matching analysis and COX models were utilized to examine the association between SII and survival outcomes. The Pearson correlation test confirmed the correlation between SII and vertebral T-values measured by bone mineral density and pain indicator. A total of 354 patients were finally included from MIMIC-III in the univariate analysis, for the 30-day mortality, SII ≥ 3164 group, the hazard ratio (HR) (95% confidence interval) was 1.71 (1.01, 2.94). After adjusting for age, gender, race, anion gap, creatinine, systolic blood pressure (SBP), DBP MBP, SOFA, acute physiologic score III, chronic kidney disease, and SAPS II, SII ≥ 3164 was found to be an independent significant risk factor for death in patients (HR = 1.85, 95% CI: 1.06-3.24, P = .0315). A similar trend was observed for 90-day mortality and 1-year mortality. Propensity scores matching analysis further confirmed the association of SII and the prognosis of patients. Our validation results were consistent with it. Besides, the Pearson correlation test confirmed a significant correlation between SII and vertebral T-values measured by bone mineral density and pain indicator. The study findings revealed that SII is an independent predictor of mortality in patients with vertebral fractures. This indicates that SII can serve as a reliable and easily accessible prognostic indicator for newly diagnosed critically ill patients with vertebral fractures.

Predictive value of systematic immune-inflammation index combined with Ki-67 index on prognosis of prostate cancer patients after laparoscopic radical prostatectomy

BACKGROUND

Prostate cancer (PCa) presents a wide spectrum. Systemic immune-inflammation index (SII) and Ki-67 index are new biomarkers that can predict prognosis in different types of cancer. We explored the predictive value of their combination on the prognosis of PCa patients after laparoscopic radical prostatectomy (LRP).

METHODS

In this retrospective study, 290 patients who underwent LRP at Nanjing Lishui People's Hospital between January 2016 and February 2021 were enrolled. They were divided into the good prognosis group (N = 235) and poor prognosis group (N = 55) based on the follow-up results. Both the baseline data and postoperative pathological results were collected. The Ki-67 index was determined using immunohistochemical kits, and the patients were allocated to the SII/Ki-67 index high/low expression groups according to the cut-off values to further analyze their relationship with clinical/pathological data of PCa patients. Logistics multivariate regression analysis was utilized to analyze the independent factors affecting post-LRP prognosis of CPa patients. ROC curve was plotted to assess the predictive value for post-LRP prognosis, and Kaplan-Meier curve/Log-rank were used for analysis.

RESULTS

Significant differences were found in PSA/Gleason score/T stage/lymph node metastasis/seminal vesicle invasion/neutrophils/lymphocytes/platelets/preoperative SII/Ki-67 index between the good/poor prognosis groups. Preoperative SII/Ki-67 were related to PSA/lymphocytes/platelets in PCa. Seminal vesicle invasion and preoperative SII + Ki-67 index were independent factors affecting post-LRP prognosis. Preoperative SII + Ki-67 index had a better predictive value than preoperative SII or Ki-67 index alone. Patients with high preoperative SII and Ki-67 index levels had an increased risk of poor prognosis after LRP.

CONCLUSION

Preoperative SII + Ki-67 index had a better predictive value for poor prognosis after LRP than SII or Ki-67 index alone.

The Association between Tooth Loss and Insulin Resistance Mediated by Diet Quality and Systemic Immunoinflammatory Index

(1) Background: Both tooth loss and diabetes have high global prevalence, and both have a significant influence on patients' general health and quality of life. Previous research has indicated a possible connection between tooth loss and diabetes, but it has been unclear whether tooth loss has an effect on the development of diabetes and how it affects it. We aim to investigate the relationship between insulin resistance (IR) and tooth loss and examine how the systemic immune-inflammation index (SII) level and diet quality mediate it. (2) Methods: The cross-sectional study data were obtained from the National Health and Nutrition Examination Survey (NHANES). After describing and comparing baseline data, we used regression models to evaluate the relationship between IR and tooth loss, diet quality and tooth loss and IR, SII and tooth loss and IR. Furthermore, we applied bootstrapping to test the mediation effect of diet quality and SII between tooth loss and IR. Diet quality is reflected by the HEI (Healthy Eating Index)-2015 score. (3) Results: The total number of subjects included was 8197, with 3861 individuals belonging to the IR group (HOMA-IR ≥ 2.5) and 4336 in the non-IR group (HOMA-IR < 2.5). In the model with all covariates adjusted, tooth loss in the fourth quartile was found to be positively correlated with an increase in HOMA-IR (OR = 1.301; 95% confidence interval (CI) = [1.102, 1.537]; p < 0.001) compared to the first quartile; tooth loss in the fourth quartile correlated with the HEI-2015 score compared to the first quantile (β = -0.121, 95% CI = [-4.839, -2.974], p < 0.001); and the highest number of tooth loss was found to have a significant effect on SII (β = 0.032; 95%CI = [1.777, 47.448]; p < 0.05). Compared to average diet quality, best diet quality acts as a safeguard against elevated HOMA-IR (OR = 0.776; 95% CI = [0.641, 0.939]; p < 0.01); inadequate diet quality is a risk factor (OR = 1.267; 95%CI = [1.138, 1.411]; p < 0.001) conversely. Meanwhile, it can be seen that compared with the first quantile of SII, the highest score is significantly correlated with the higher incidence of IR (OR = 1.363; 95%CI = [1.179, 1.575]; p < 0.001). Diet quality and SII played a partial mediating role in the relationship between HOMA-IR and tooth loss, and the mediating effect ratio for the total effect value was 4.731% and 4.576%, respectively. The mediating effect of SII and diet quality in the association of the relationship between HOMA-IR and tooth loss both was 0.003 (95%CI = [0.001, 0.004]). (4) Conclusions: Our study revealed the relationship between IR and tooth loss, and further explored the mediating role of SII and diet quality between the number of missing teeth and IR, emphasizing that improving diet quality and reducing SII can effectively prevent and treat IR and related diseases. It provides new theoretical support for the study of IR mechanisms and new ideas and approaches to deal with related diseases.

Clinical characteristics and prognostic factors of 75 cases with acquired hemophagocytic syndrome

OBJECTIVES

The study's aim was to enhance awareness of acquired hemophagocytic syndrome (HPS) in adults by analyzing clinical features, and investigating the relationship between factors such as the Systemic Inflammation Index (SII) and the prognosis of HPS.

METHODS

Clinical characteristics, survival data, and prognostic factors of 75 HPS patients admitted to our hospital between January 2012 and October 2022 were analyzed.

RESULTS

In the high SII group, red blood cells, white blood cells, platelets, neutrophils, fibrinogen, and CD4 + cell activity were higher, and survival time was longer compared to the low SII group. Conversely, total bilirubin and direct bilirubin were higher in the low SII group (P ≤ 0.05). After applying the log-Rank or Breslow tests, HPS patients in the high SII group and those following the HLH-2004 protocol experienced a notably longer survival time. (χ2 = 4.291, P < 0.05; χ2 = 5.210, P < 0.05). Patients with poor prognosis showed higher age of onset, elevated levels of total, direct, and indirect bilirubin, and a greater rate of EBV infection, but reduced levels of red blood cells, platelets, hemoglobin, albumin, globulin, and HLH-2004 protocol usage rate(P < 0.05). Multivariate analysis and ROC curve results indicate that special attention is needed for patients with platelets < 42.5 × 109/L, albumin < 27.7 g/L, fibrinogen < 1.085 g/L, those not following the HLH-2004 protocol, and those who are EBV (+).

DISCUSSION AND CONCLUSION

Early diagnosis and following the HLH-2004 protocol are essential for patients with HPS clinical manifestations to improve prognosis. Additional research is necessary to examine the link between SII and HPS patients' prognosis.