Systemic immune-inflammation index for predicting prognosis of colorectal cancer

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

Objective

To investigate whether postoperative systemic immune-inflammation index (SII) is associated with acute kidney injury (AKI) after cardiac surgery.

Methods

We included patients undergoing cardiac surgery from the Medical Information Mart for Intensive Care-Ⅳ database to conduct a retrospective cohort study. The outcomes are AKI, severe AKI, and 30-day mortality after cardiac surgery. Analytical techniques including receiver operating characteristic (ROC) analysis, restricted cubic splines (RCS), and multivariable logistic regression were used to assess the association between SII and outcomes. Sensitivity analyses using inverse probability of treatment weighting (IPTW) and the E-value were conducted to validate the stability of the results.

Results

3,799 subjects were included in this study. We used ROC to calculate an optimal cutoff value for predicting AKI after cardiac surgery, and subsequently patients were divided into two groups based on the cutoff value (Low SII: ≤ 949 × 109/L; High SII: > 949 × 109/L). ROC showed moderately good performance of SII for predicting AKI, while RCS also indicated a positive association between SII and AKI. The multivariate logistic analysis further affirmed the heightened risk of AKI in patients in the high SII group (OR, 5.33; 95%CI, 4.34-6.53; P < 0.001). Similar associations were observed between SII and severe AKI. Sensitivity and subgroup analyses indicated the robustness of the findings.

Conclusion

Elevated SII was independently associated with a higher risk of AKI in adults undergoing cardiac surgery. The potential causal relationship between postoperative SII and cardiac surgery associated AKI warrants prospective research.

KRAS Gene Mutation Associated with Grade of Tumor Budding and Peripheral Immunoinflammatory Indices in Patients with Colorectal Cancer

Background

The efficacy of targeted therapy for colorectal cancer (CRC) is affected by hub genes of epidermal growth factor receptor (EGFR) signaling pathways, such as KRAS. Immune cell infiltration may lead to gene mutation, but the relationship between KRAS status and peripheral immune-inflammatory indices has not been clarified in CRC.

Methods

Clinical records of CRC patients were collected. The relationship between KRAS status and clinicopathological characteristics, peripheral immune-inflammatory indices (pan-immune inflammation value (PIV) (monocyte×neutrophil×platelet/lymphocyte), systemic immune inflammation index (SII) (platelet×neutrophil/lymphocyte), and system inflammation response index (SIRI) (monocyte×neutrophil/lymphocyte)) were analyzed.

Results

1033 CRC patients were collected, there were 514 (49.8%) patients with KRAS wild-type and 519 (50.2%) with KRAS mutation. Patients with KRAS mutation had higher proportions of female, III-IV stage, and lymph node metastasis and lower proportion of low grade of tumor budding (the presence of single tumor cells or small clusters of up to 5 cells in mesenchyma at the front of tumor invasion) than those with KRAS wild-type. The PIV, SII, and SIRI levels in KRAS mutation patients were significantly higher than those in KRAS wild-type patients. The proportion of aged ≥65 years old, dMMR, distant metastasis, and KRAS mutation were high in patients with high PIV, SII, and SIRI levels. Logistic regression analysis showed that non-low grade of tumor budding (odds ratio (OR): 1.970, 95% confidence interval (CI): 1.287-3.016, p=0.002), and high SII level (≥807.81 vs <807.81, OR: 1.915, 95% CI: 1.120-3.272, p=0.018) were independently associated with KRAS mutation.

Conclusion

Non-low grade of tumor budding, and high SII level were independently associated with KRAS mutation in CRC. It provides additional references for diagnosis and treatment options for patients with CRC.

Unveiling inflammatory biomarkers in multibacillary leprosy: the role of lymphocyte-platelet ratio in predicting leprosy reactions

Leprosy is a neglected contagious disease that causes physical disability and episodes of inflammation, called leprosy reactions. There are currently no consolidated laboratory markers that can predict or confirm the diagnosis of leprosy reactions, negatively impacting the progression of the disease. The aim of this study was to analyze the behavior of inflammatory biomarkers in a population of patients with multibacillary leprosy. This prospective study in a northeastern capital involved 67 new cases of multibacillary leprosy, assessing inflammatory biomarkers at diagnosis. Histopathology, qPCR, slit skin smear microscopy, and laboratory tests, including CRP-albumin, neutrophil-lymphocyte, lymphocyte-monocyte, platelet-lymphocyte ratios, and systemic immune-inflammation index, were conducted. Statistical analysis utilized Stata version 16.0®, employing Chi-square, Kruskal-Wallis, and Poisson regression (5% significance). The population, mainly young brown men with low socioeconomic status, borderline leprosy, and and degree of physical disability one, saw 19.4% experiencing leprosy reactions. Standard multibacillary multidrug therapy was administered to all. Ratios and index values exceeding medians were prevalent (46.3-47.8%). Assessing biological markers against leprosy reactions revealed a positive relation between reactions and lymphocyte-platelet ratio (p = 0.05) and a positive trend with the systemic immune-inflammation index (p = 0.06). Patients with reactions were 1.3 times more likely to exhibit an elevated lymphocyte-platelet ratio. The lymphocyte-platelet ratio emerged as a potential indicator for recognizing leprosy reactions. Further research is essential to validate these findings, aiming for earlier detection of leprosy reactions.

Prognostic value of nutrition and immune‑related biomarkers in patients with locally advanced rectal cancer treated with chemoradiotherapy

The ability of nutrition and immune-related biomarkers to predict outcomes in patients with locally advanced rectal cancer (LARC) treated with neoadjuvant therapy followed by surgery remains controversial due to the lack of evidence regarding the accuracy and reliability of these biomarkers in predicting outcomes for such patients. Therefore, the present study aimed to investigate the prognostic potential of nutrition and immune-related biomarkers in patients with LARC who underwent chemoradiotherapy followed by curative surgery. The clinical data of patients with LARC treated with neoadjuvant therapy followed by surgery between January 2010 and December 2019 were analyzed. In total, 214 consecutive patients were enrolled into the present study, who were then categorized into low and high prognostic nutritional index (PNI) groups. The X-tile 3.6.1 program was used to calculate and then determine the optimal cut-off values for PNI. Disease-free survival (DFS) and overall survival (OS) were compared between the low and high PNI groups. Cox regression analysis demonstrated that low PNI and high post-chemoradiotherapy carcinoembryonic antigen levels were significantly associated with reduced disease-free survival and overall survival. Specifically, a low PNI was associated with inferior 5-year DFS (P=0.025) and OS (P=0.018). These findings suggest that amongst the nutritional and immune-related biomarkers, PNI is a significant predictive factor for disease recurrence and mortality in patients with LARC treated with neoadjuvant therapy followed by surgery.

Evaluating the prognostic value of systemic immune-inflammatory index in patients with acute decompensated heart failure

AIMS

The value of the systemic immune-inflammatory index (SII) in assessing adverse outcomes in various cardiovascular diseases has been extensively discussed. This study aims to evaluate the predictive value and risk stratification ability of SII for 30 day mortality in patients with acute decompensated heart failure (ADHF).

METHODS

This analysis included 1452 patients hospitalized for ADHF, all the participants being part of the China Jiangxi-acute decompensated heart failure1 project. The risk stratification capability of the SII in patients with ADHF, as well as its correlation with the 30 day mortality risk among ADHF patients, was evaluated utilizing Kaplan-Meier survival analysis and multivariable Cox regression models. A restricted cubic spline was employed to model the dose-response relationship between the two, and the receiver operating characteristic curve was utilized to assess the predictive ability of SII for 30 day mortality.

RESULTS

The Kaplan-Meier analysis revealed that the risk of mortality in the high SII group (SII ≥ 980 × 109/L) was significantly greater than that in the low SII group (SII < 980 × 109/L, log-rank P < 0.001). After adjusting for various confounding factors, a higher SII was associated with an increased risk of 30 day mortality in ADHF patients [hazard ratio (HR) = 2.03, 95% confidence interval (CI): 1.34-3.08]. Further restricted cubic spline analysis revealed a non-linear dose-response relationship between the two (P for non-linear = 0.006). Receiver operating characteristic analysis demonstrated that SII had a high accuracy in predicting 30 day mortality events in ADHF patients (AUC = 0.7479), and the optimal predictive threshold was calculated to be 980 × 109/L, a sensitivity of 0.7547 and a specificity of 0.7234.

CONCLUSIONS

This study found a significant positive association between SII and 30 day all-cause mortality in ADHF patients. We determined the SII cut-off point for predicting 30 day all-cause mortality in patients with ADHF to be 980 × 109/L.

Association of systemic immune inflammatory index with obesity and abdominal obesity: A cross-sectional study from NHANES

BACKGROUND AND AIM

Our aim was to explore the potential relationship between SII and obesity, as well as abdominal obesity.

METHODS AND RESULTS

We utilized a weighted multivariable logistic regression model to investigate the relationship between SII and obesity, as well as abdominal obesity. Generalized additive models were employed to test for non-linear associations. Subsequently, we constructed a two-piecewise linear regression model and conducted a recursive algorithm to calculate inflection points. Additionally, subgroup analyses and interaction tests were performed. A total of 7,880 U.S. adult participants from NHANES 2011-2018 were recruited for this study. In the regression model adjusted for all confounding variables, the odds ratios (95% confidence intervals) for the association between SII/100 and obesity, as well as abdominal obesity, were 1.03 (1.01, 1.06) and 1.04 (1.01, 1.08) respectively. There was a non-linear and reverse U-shaped association between SII/100 and obesity, as well as abdominal obesity, with inflection points at 7.32 and 9.98 respectively. Significant positive correlations were observed before the inflection points, while significant negative correlations were found after the inflection points. There was a statistically significant interaction in the analysis of age, hypertension, and diabetes. Moreover, a notable interaction is observed between SII/100 and abdominal obesity within non-Hispanic Asian populations.

CONCLUSIONS

In adults from the United States, there is a positive correlation between SII and the high risk of obesity, as well as abdominal obesity. Further large-scale prospective studies are needed to analyze the role of SII in obesity and abdominal obesity.

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.

The importance of SII and FIB-4 scores in predicting mortality in idiopathic pulmonary fibrosis patients

INTRODUCTION

Quick and simple parameters are needed to predict mortality in patients with idiopathic pulmonary fibrosis (IPF). In this way, risky patients will have the opportunity to receive early and effective treatment. In this study, we examined whether the Fibrosis-4 index (FIB-4) and systemic immune inflammation index (SII) are associated with mortality in IPF patients.

MATERIALS AND METHODS

The study was designed retrospectively. 100 patients diagnosed with IPF were included in the study. Variables between living patients and deceased patients were examined.

RESULTS

Out of a total of 100 patients, 67 were divided into the surviving group and 33 into the non-surviving group. In multivariate analysis, high FIB-4 and SII values were significantly associated with an increased risk of death.

CONCLUSION

FIB-4 and SII are parameters that can predict mortality in IPF patients. In this way, IPF patients with high mortality risk will be identified earlier and more effective methods will be used in follow-up and treatment.

Prognostic Value of NLR, PLR, SII, and dNLR in Urothelial Bladder Cancer Following Radical Cystectomy

BACKGROUND

Inflammation plays a crucial role in tumor development and progression, with inflammatory markers showing promise in predicting cancer prognosis. However, their significance in muscle-invasive bladder cancer (MIBC), especially in the context of neoadjuvant chemotherapy (NAC), remains poorly understood. This study aims to evaluate the prognostic utility of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), and derived neutrophil-to-lymphocyte ratio (dNLR) for overall survival (OS) in bladder cancer (BC) patients undergoing radical cystectomy (RC) in the NAC era.

PATIENTS AND METHODS

A retrospective review analyzed prospectively-collected data from our institutional BC registry, covering patients with MIBC undergoing RC with curative intent from March 1st, 2016, to December 31st, 2022. Blood samples were collected preoperatively to calculate NLR, PLR, SII, and dNLR. OS was defined from surgery to last follow-up or death. Statistical analyses included ROC curves, Kaplan-Meier Curves, and Cox proportional hazards regression models.

RESULTS

A total of 187 patients with median duration follow-up of 14.7 month were included in this study and 50.8% experienced death. NAC was administered in 50.3% of cases. The ideal cut-off for dichotomizing NLR, PLR, SII, and dNLR was 1.76, 104.30, 410.66, and 1.30, respectively. In multivariable analysis each of these biomarkers emerged as an independent prognostic factor for predicting OS. The results showed a correlation between higher NLR, PLR, SII, and dNLR levels and a deterioration in OS.

CONCLUSION

Elevated values of these inflammatory markers indicate poorer survival, highlighting their potential as indicators of disease aggressiveness. Identifying patients with elevated markers can help healthcare providers personalize treatment strategies, improving patient outcomes and survival rates.

Association between immune-inflammation-based prognostic index and depression: An exploratory cross-sectional analysis of NHANES data

BACKGROUND

Immune-inflammatory mediators influence numerous immune and inflammatory pathways, elevating the likelihood of depression. The systemic immune-inflammation index (SII) emerges as an innovative prognostic indicator, integrating various peripheral blood immune cell subpopulations, specifically neutrophils, platelets, and lymphocytes. This exploratory study aims to examine the correlation between SII and depression.

METHODS

Data from the 2005-2020 National Health and Nutrition Examination Survey (NHANES) were utilized. Depression was diagnosed with a Patient Health Questionnaire score of 10 or higher. The relationship between log2-SII and depression incidence was analyzed using a restricted cubic spline (RCS). Logistic regression was employed to calculate the odds ratio of depression concerning log2-SII. In cases of non-linearity, piecewise linear models with change points were applied to assess the associations in both the overall population and specific subgroups. Additionally, subgroup analyses were conducted to determine the applicability of the findings to particular populations.

RESULTS

A total of 42,133 participants were included in the study, comprising 49.32 % men and 50.68 % women, with an average age of 47.02 ± 17.45 years. RCS analysis demonstrated a J-shaped non-linear relationship between log2-SII and depression incidence. When log2-SII was ≥8.50, SII showed a positive association with depression incidence, even after adjusting for covariates. Additionally, each unit increase in log2-SII corresponded to an 18 % rise in depression incidence (OR = 1.18, 95 % CI: 1.10-1.27). Subgroup analysis further revealed that the association between SII and depression incidence varied across different populations.

LIMITATIONS

Due to the cross-sectional nature of NHANES, causality or long-term implications cannot be inferred. Further research is needed to ascertain if a longitudinal relationship exists between SII and depression.

CONCLUSION

Our findings suggest a significant and complex non-linear association between SII and depression. However, further basic and prospective studies are necessary to explore SII's impact on depression and clarify its underlying mechanisms. Additionally, these studies will provide a foundation for personalized interventions targeting the immune-inflammatory processes in patients with depression and elevated SII.

Association of systemic immune-inflammation index with body mass index, waist circumference and prevalence of obesity in US adults

This study aims to investigate the potential relationships between the systemic immune-inflammation index (SII) and body mass index (BMI), waist circumference, and the prevalence of obesity. A cross-sectional analysis was conducted on 7,645 individuals aged 20 and above from the NHANES 2017-2020. Multivariate linear regression analyses were conducted to evaluate the association of the logarithmically transformed SII (lgSII) with BMI and waist circumference. Additionally, multivariable logistic regression was utilized to explore the relationship between lgSII and the prevalence of obesity. Fitted smoothing curves and threshold-effect analysis were applied to elucidate nonlinear relationships. In the fully adjusted model, a positive relationship was observed between lgSII and BMI, waist circumference, and obesity prevalence (β = 3.13, 95% CI 2.10-4.16; β = 7.81, 95% CI 5.50-10.13; OR = 1.44, 95% CI 1.12-1.86). The variables of gender, age, race, education, marital status, poverty income ratio (PIR), energy intake, sleep disorder, smoking status, and alcohol use did not significantly modify the positive association between lgSII and obesity. However, physical activity appeared to influence the positive correlation between lgSII and obesity. Using a two-segment linear regression model, an inverted U-shaped relationship was observed between lgSII and both BMI and waist circumference. Furthermore, lgSII demonstrated a linear positive correlation with obesity prevalence. When stratified by physical activity, lgSII showed a non-significant negative correlation with obesity in the physically active group. Our findings underscore a robust association between the logarithmically transformed SII and BMI, waist circumference, and the prevalence of obesity.

Preoperative monocyte-to-lymphocyte ratio as a prognosis predictor after curative hepatectomy for intrahepatic cholangiocarcinoma

BACKGROUND

Several inflammatory indicators have been reported to have predictive value in many types of malignant cancer. This research was aimed to explore the ability of the monocyte-to-lymphocyte ratio (MLR) to predict prognosis in patients with intrahepatic cholangiocarcinoma (ICC) who subjected to curative hepatectomy.

METHODS

This retrospective analysis included 196 patients with ICC who underwent curative hepatectomy between May 2018 and April 2023. The predictive abilities of the preoperative MLR in assessing overall survival (OS) and disease-free survival (DFS) in those patients were compared with other inflammation-based scores, including monocyte-to-white ratio, neutrophil-to-lymphocyte ratio, neutrophil-to-white ratio, platelet-to-lymphocyte ratio, platelet-to-white ratio, and systemic immune-inflammation index, as well as tumor markers, like carcinoembryonic antigen (CEA) and carbohydrate antigen 19 - 9 (CA19-9).

RESULTS

The area under the time-dependent receiver operating characteristic curve indicated that the preoperative MLR had higher predictive efficiency in contrast with other inflammation-based scores and tumor markers in assessing OS and DFS. Stratifying patients according to the optimal cut-off value for the preoperative MLR, the data showed that both OS and DFS in the high MLR group were significantly worse than those in the low MLR group (p < 0.05 for all). Univariable and multivariable Cox analyses revealed that the preoperative MLR was an independent risk factor for OS and DFS in patients with ICC. In addition to predicting OS in patients with high CEA levels and predicting DFS in patients with high CA19-9 levels, patients with different CEA and CA19-9 levels were divided into completely different OS and DFS subgroups based on the risk stratification of the preoperative MLR.

CONCLUSIONS

Our results demonstrated that the preoperative MLR was a good prognosis indicator to predict DFS and OS following curative hepatectomy in patients with ICC.

Predictive Value of Preoperative Fibrinogen and Albumin Score (FA Score) for Prognosis and Chemotherapeutic Efficacy in Resected Colorectal Cancer: A Retrospective Cohort Study

Background: Limited research elucidated the role of preoperative fibrinogen and albumin (FA) score in colorectal cancer (CRC). We aimed to clarify the predictive value of FA score for prognosis and chemotherapeutic efficacy in CRC patients who underwent curative resection. Materials and Methods: Patients' clinicopathological parameters of 735 cases of resected CRC were recruited retrospectively. Optimal cut-off values of the preoperative plasma fibrinogen (F) and albumin (A) were confirmed by receiver operating characteristic (ROC) curves. Patients were categorized into three groups based on the FA score, and were further divided into a chemotherapy group and a non-chemotherapy group. Correlations between FA score and clinicopathological features, as well as overall survival (OS), cancer-specific survival (CSS) and disease-free survival (DFS) were assessed with Kaplan-Meier (KM) survival method, univariate and multivariate Cox proportional hazard models, and subgroup analyses. Results: The Kaplan-Meier survival curves revealed that higher FA score could predict poorer OS and CSS (P<0.001). Multivariate analyses revealed that FA score was an independent prognostic factor for OS (P=0.037). In addition, subgroup analyses based on the histological feature and primary tumor location showed that elevated FA score was significantly associated with worse OS, CSS and DFS (all, P<0.05) in patients with non-mucinous colorectal adenocarcinoma and rectal cancer (RECC). Subgroup analyses based on the TNM stage showed that elevated FA score was significantly associated with worse OS, CSS (all, P<0.05) in patients with TNM stage II tumors. Furthermore, chemotherapy could benefit the OS and CSS in TNM stage III CRC patients with FA score 1 and 2 (all, P<0.05). Conclusion: The preoperative FA score is an independent prognostic factor for CRC patients who underwent curative resection and may help predict the responses to chemotherapy in clinical practice. FA score may serve as a complementary to the TNM staging system to identify high-risk patients.

Systemic immune-inflammation index is associated with high risk for prostate cancer among the U.S. elderly: Evidence from NHANES 2001-2010

Purpose

The Systemic Immuno-Inflammation Index (SII) is a crucial clinical measure of inflammation, and there is currently no solid evidence linking SII to an increased risk of prostate cancer (PCa). Through the analysis of serum total prostate-specific antigen (tPSA), free prostate-specific antigen (fPSA), and the tPSA/fPSA (fPSA%) ratio, this study sought to investigate the relationship between SII and PCa risk among the U.S. elderly.

Methods

Elderly male participants were gathered from the NHANES database between 2001 and 2010.SII was calculated by platelet count * neutrophil count/lymphocyte count. High risk individuals for prostate cancer were defined as those with tPSA > 4 ng/ml and fPSA% < 16%. Multivariate logistic regression models, restricted cubic spline curves, and subgroup analyses were used to assess the relationship between SII and PCa risk.

Results

This research comprised 2664 people in total, 137 (5.14%) of whom were deemed to be at high risk of developing PCa. Multivariate logistic regression analysis, after controlling for variables, revealed a significant positive correlation between high PCa risk and an increase in SII (p = 0.009). The RCS suggested a turning point at 9.01. Restricted cubic spline curves revealed a non-linear U-shaped association between SII and high PCa risk (p for nonlinear = 0.028). Education level, marital status, PIR, alcohol status, smoking status, rheumatoid arthritis status, and heart problem were not significantly correlated with this positive connection, according to subgroup analyses and interaction tests.

Conclusion

The results of this study suggest that inflammation represented by SII is associated with high PCa risk.

Association between the systemic immune-inflammation index and hearing loss: A cross-sectional study of NHANES 2005 to 2018

The relationship between systemic inflammation and hearing loss (HL) remains unclear. To investigate the association between the systemic immune-inflammation index (SII) and objective HL, this study was performed. Participants from the National Health and Nutrition Examination Survey (NHANES) spanning from 2005 to 2018 were analyzed. Two types of hearing loss were investigated: speech-frequency hearing loss (SFHL) and high-frequency hearing loss (HFHL). The SII score was constructed using the levels of peripheral neutrophil (N), lymphocyte (L), and platelet (P), and was defined as P multiplied by N/L (in units of 109/L). Weighted multivariable logistic regression and subgroup analysis were used to examine the relationship between HL and high-SII group (≥330 × 109/L). A total of 6428 participants were included in the study. This study found that the high-SII group was positively associated with a higher risk of HL (OR: 1.29, 95% CI: 1.05-1.57, P < .05) and HFHL (OR: 1.24, 95% CI: 1.05-1.46, P < .05), but not significant for SFHL (OR: 1.13, 95% CI: 0.94-1.37, P > .05). Subgroup analysis showed that this association was similar in different age groups. Finally, sensitivity analysis confirmed the robustness of the association. In the full model, increasing SII index per SD was associated with HL (OR: 1.17, 95% CI: 1.09-1.26, P < .001) and HFHL (OR: 1.13, 95% CI: 1.06-1.21, P < .001). The significance of SFHL was not detected with the increasing SII index (OR: 1.13, 95% CI: 0.94-1.37, P > .05). SII score was associated with HL and HFHL in the general adult population of the United States, but was not significantly correlated with SFHL.

Systemic immunity-inflammation index is associated with body fat distribution among U.S. adults: evidence from national health and nutrition examination survey 2011-2018

OBJECTIVE

The systemic immunity-inflammation index (SII) is a newly developed biomarker that provides an integrated measure of inflammation in the body. We aim to evaluate the relationship between SII and body fat distribution.

METHODS

Adults from the National Health and Nutrition Examination Survey (NHANES) 2011-2018 were included. The SII was computed using lymphocyte (LC), neutrophil (NC), and platelet (PC) counts as its components. Body fat distribution was assessed by (total, android, gynoid) percentage fat, total abdominal fat area, subcutaneous adipose tissue area, visceral adipose tissue area, and the ratio of visceral to subcutaneous adipose tissue area (V/S ratio). Multivariable weighted linear regression and subgroup analysis were use to examine the relationships between fat distribution and SII. Restricted cubic splines (RCS) and threshold effect analysis were used to examine analyze nonlinear associations.

RESULTS

After exclusions, a total of 11,192 adults with a weighted mean age of 38.46 ± 0.26 years were studied. In multivariable weighted linear regression, each level increase in log2SII was associated with increased of 0.23 SDs total percentage fat (95% CI = 0.03, 0.43) and 0.26 SDs android percentage fat (95% CI = 0.06, 0.47). Besides, the subgroup analysis showed that the positive association between SII and android percentage fat was mainly among obese individuals (BMI > 30 kg/m2) and non-obese individuals without DM or hypertension. Meanwhile, the relationship between SII and the V/S ratio was found to be significant in the female subgroup, the obese subgroup, individuals with non-alcoholic fatty liver disease (NAFLD), and those without diabetes mellitus. Finally, SII exhibited an inverted U-shaped relationship with total percentage fat, android percent fat and total abdominal fat. Accordingly, threshold effect analysis indicated a positive association between lower SII levels and total percentage fat, android percentage fat and total abdominal fat area.

CONCLUSIONS

In the nationwide study, it was observed that the SII exhibited a significant correlation with higher levels of body fat, specifically android fat. This association was particularly noticeable within specific subgroups of the population.

Clinical significance of the modified Naples prognostic score in patients with stage II-III colon cancer undergoing curative resection: a retrospective study from the real world

Background

The Naples prognostic score (NPS) determined by the nutritional and inflammatory condition of an individual is attracting growing attention for predicting postoperative outcomes in a variety of malignancies. The study aimed to assess the clinical significance of a modified NPS (M-NPS) and establish and validate nomograms incorporating M-NPS in curative stage II-III colon cancer patients.

Methods

We retrospectively analyzed 328 stage II-III colon cancer patients receiving radical surgical resection at our hospital from January 2011 to December 2016. Kaplan-Meier (KM) survival analysis and Cox regression analysis were executed for overall survival (OS) and cancer-specific survival (CSS). Independent predictive indicators were applied to develop nomograms. The model's performance was evaluated using many different methods.

Results

Of a total of 328 cases, 153 cases were in group 0, 145 in group 1, and 30 in group 2. In terms of OS or CSS, there were obvious differences between groups 0 and 1, and between groups 0 and 2. Age, obstruction, N stage, gross tumor type, and M-NPS group were independent prognostic indicators for OS, while obstruction, gross tumor type, M-NPS group, and N stage were independent predictive parameters for CSS. Furthermore, the training and validation sets were randomly allocated among a cohort of 328 patients. OS and CSS prediction nomograms were developed. In the training and validation cohort, the C-index and ROC analysis showed good discrimination, calibration curves exhibited an excellent level of consistency between model-predicted survival and actual survival outcomes, and DCA curves demonstrated good clinical performance.

Conclusion

M-NPS is a reliable survival predictor in patients with curative stage II-III colon cancer. Nomograms incorporating M-NPS for OS and CSS have good predictive performance and clinical utility.

Inflammation-related markers and prognosis of alpha-fetoprotein producing gastric cancer

BACKGROUND

Inflammation-related markers including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI) and prognostic nutritional index (PNI) could reflect tumor immune microenvironment and predict prognosis of cancers. However, it had not been explored in alpha-fetoprotein (AFP) producing gastric cancer (GC).

AIM

To determine the predictive value of inflammation-related peripheral blood markers including as NLR, PLR, MLR, SII, SIRI and PNI in the prognosis of AFP- producing GC (AFPGC). Besides, this study would also compare the differences in tumor immune microenvironment, clinical characteristics and prognosis between AFPGC and AFP- GC patients to improve the understanding of this disease.

METHODS

573 patients enrolled were retrospectively studied. They were divided into AFP+ group (AFP ≥ 20 ng/mL) and AFP- group (AFP < 20 ng/mL), comparing the levels of NLR/PLR/MLR/SII/SIRI/PNI and prognosis. In AFP+ group, the impact of NLR/PLR/MLR/SII/SIRI/PNI and their dynamic changes on prognosis were further explored.

RESULTS

Compared with AFP- patients, AFP+ patients had higher NLR/PLR/MLR/SII/SIRI and lower PNI levels and poorer overall survival (OS). In the AFP+ group, mortality was significantly lower in the lower NLR/PLR/MLR/SII/SIRI group and higher PNI group. Moreover, the dynamic increase (NLR/PLR/MLR/SII/SIRI) or decrease (PNI) was associated with the rise of mortality within 1 year of follow-up.

CONCLUSION

Compared with AFP- patients, the level of inflammation-related peripheral blood markers significantly increased in AFP+ patients, which was correlated with OS of AFP+ patients. Also, the gradual increase of SII and SIRI was associated with the risk of death within one year in AFP+ patients. AFPGC should be considered as a separate type and distinguished from AFP- GC because of the difference in tumor immune microenvironment. It requires basic experiments and large clinical samples in the future.

The m6A methyltransferase METTL3 modifies Kcnk6 promoting on inflammation associated carcinogenesis is essential for colon homeostasis and defense system through histone lactylation dependent YTHDF2 binding

Inflammation induces tumor formation and plays a crucial role in tumor progression and prognosis. KCNK6, by regulating K(+) efflux to reduce NLRP3 Inflammasome-induced lung injury, relaxes the aorta. This study aims to elucidate the effects and biological mechanism of KCNK6 in inflammation-associated carcinogenesis, which may be essential for colon homeostasis and the defense system. To induce colitis, mice were given 3.0% Dextran Sodium Sulfate (DSS) in their drinking water for 7 days. The Azoxymethane (AOM) +DSS method was used to induce colon cancer in the mice model. Bone marrow-derived macrophages (BMDM) from Kcnk6-/- mice, AW264.7 cells, and human colon cancer HCT116 and Caco2 cells were used as in vitro models. The loss of Kcnk6 prevented spontaneous colitis and restored mucosal integrity and homeostatic molecules. Additionally, the loss of Kcnk6 reduced the severity of AOM/DSS-induced carcinogenesis. Kcnk6 promoted cell viability and proliferation in HCT-116 or Caco-2 cells. The loss of Kcnk6 inhibited the levels of inflammatory factors in BMDM cells. Kcnk6 accelerated potassium channel activity, inducing NLRP3 inflammasome activation. METTL3-mediated m6A modification increased Kcnk6 stability in a YTHDF2-dependent manner. Histone lactylation activated the transcription of YTHDF2/Kcnk6. Our study revealed the important role of Kcnk6 in inflammation-associated carcinogenesis progression. The m6A methyltransferase METTL3 and histone lactylation increased Kcnk6 stability in a YTHDF2-dependent manner, providing a potential strategy for inflammation-associated carcinogenesis or colorectal cancer therapy.

Systemic immune-inflammation and prognostic immune nutritional index in oral squamous cell carcinoma patients

Aim: To investigate the systemic immune-inflammation index and prognostic immune nutritional index in the prognostic evaluation of oral squamous cell carcinoma.Materials & methods: We analyzed retrospectively the relationship between systemic immune-inflammation index, prognostic immune nutritional index and clinicopathological variables and the overall survival of 262 patients who underwent radical surgery.Results: Multivariate analysis showed high systemic immune-inflammation index (Hazard ratio = 3.062, 95% CI: 1.021-8.251), low prognostic immune nutritional index (Hazard ratio = 0.297, 95% CI: 0.139-0.636), tumor node metastasis classification 3-4 (Hazard ratio = 9.862, 95% CI: 4.658-20.880) patients have worse overall survival.Conclusion: Preoperative systemic immune-inflammation index and prognostic immune nutritional index are independent risk factors for prognostic survival status in oral squamous cell carcinoma.

Systemic immune inflammation index and risk of stroke: a cross-sectional study of the National Health and Nutrition Examination Survey 2005-2018

Background

The incidence of stroke has increased globally, resulting in medical expenditures and social burdens over the past few decades. We aimed to explore the relationship between systemic immune inflammatory index (SII) and stroke using the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018.

Methods

Based on NHANES data, 902 stroke patients and 27,364 non-stroke patients were included in this study. SII was the independent variable and stroke was the dependent variable. Univariate and multivariate logistic regression analyses were used to explore the association between SII and stroke. Restricted cubic spline (RCS) method was used to test the nonlinear association between SII and stroke.

Results

Weighted logistic regression analysis showed a significant association between SII and stroke (OR: 1.985, 95% CI: 1.245-3.166, p = 0.004). The interaction test showed that the association between SII and stroke was not significant between strata (p > 0.05). A significant positive association between SII and stroke risk (OR >1, p < 0.05) was observed in the crude model, model I and model II. RCS analysis showed no nonlinear positive association between SII and stroke risk after adjusting for all confounders.

Conclusion

Our study determined that SII is associated with stroke risk. Given the inherent limitations of cross-sectional studies, further research is necessary to validate the causality of this association and to demystify the underlying mechanisms between inflammation and stroke.

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

Introduction

This study aims to use machine learning to conduct in-depth analysis of key factors affecting the recurrence of HCC patients with high preoperative systemic immune-inflammation index (SII) levels after receiving ablation treatment, and based on this, construct a nomogram model for predicting recurrence-free survival (RFS) of patients.

Methods

This study included clinical data of 505 HCC patients who underwent ablation therapy at Beijing You'an Hospital from January 2014 to January 2020, and accepted 65 HCC patients with high SII levels from Beijing Ditan Hospital as an external validation cohort. 505 patients from Beijing You'an Hospital were divided into low SII and high SII groups based on the optimal cutoff value of SII scores. The high SII group was further randomly divided into training and validation cohorts in a 7:3 ratio. eXtreme Gradient Boosting (XGBoost), random survival forest (RSF), and multivariate Cox regression analysis, were used to explore the factors affecting the post-ablation RFS of HCC patients. Based on the identified key factors, a nomogram model were developed to predict RFS in HCC patients, and their performance were evaluated using the concordance index (C index), receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA). The optimal cutoff value for nomogram scores was used to divide patients into low- and high-risk groups, and the effectiveness of the model in risk stratification was evaluated using Kaplan-Meier (KM) survival curves.

Results

This study confirmed that age, BCLC stage, tumor number, and GGT level were independent risk factors affecting RFS in HCC patients. Based on the selected risk factors, an RFS nomogram was successfully constructed. The C-index, ROC curve, calibration curve, and DCA curve each demonstrated the discrimination, accuracy, and decision-making utility of the nomogram, indicating that it has good predictive performance. KM curve revealed the nomogram could significantly differentiate patient populations with different recurrence risk.

Conclusion

We developed a reliable nomogram that can accurately predict the 1-, 3-, and 5-year RFS for HCC patients with high SII levels following ablation therapy.

The relationship between severity of periapical periodontitis and next-generation systemic inflammatory biomarkers in children with early childhood caries

INTRODUCTION

Early childhood caries (ECC) is closely associated with poor oral hygiene and cariogenic diet. Untreated ECC results in recurrent odontogenic infections and local and systemic consequences. In this study, our goal is to assess the relationship between the intensity of odontogenic infection-associated periapical periodontitis and new generation of systemic inflammatory markers (SII, NLR, PLR) in ECC-affected children.

MATERIAL AND METHOD

95 healthy patients in early childhood and demonstrating periapical periodontitis who underwent dental treatment under general anesthesia (GA) in the last two years were included in the present study. Their periapical statuses were dichotomized as mild and severe. Periapical Index (PAI) scores of 2 and 3 were regarded as "mild" whereas 4 and 5 as "severe". Of the complete blood test (CBC) parameters, systemic inflammatory index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), neutrophilic granulocyte (NEUT), lymphocyte (LYMPH) and platelet (PLT) were recorded. The relationship between the degree of periapical pathology and the evaluated markers was assessed using Receiver Operating Characteristic (ROC) analysis.

RESULTS

Results of the present study revealed that mean NLR, SII and NEUT index scores of the patients having severe periapical periodontitis were statistically higher than those of the ones with mild pathology (p < 0.05). A positive, statistically significant interrelationship was found between the number of teeth demonstrating a PAI score of severe periapical periodontitis with the signs of exacerbation (PAI 5) and NLR and SII values (p < 0.05). Area under the ROC curve (AUC) values for NLR and SII were determined as 66.8% and 66.6% respectively, indicating that classification performance was sufficient and statistically significant (p < 0.05).

CONCLUSION

Postponing the management of odontogenic infections will induce some complications such as, infective endocarditis and cause the systemic inflammatory process to continue by aggravating the systemic effects of local lesions. Thus, underlying mechanism should be eliminated and oral hygiene should be maintained, also novel biomarkers may be recommended to be used for the decision-making process for the teeth with persistent periapical lesions unresponsive to treatment.

The Association Between Systemic Immune-Inflammation Index at Admission and Readmission in Patients with Bronchiectasis

Purpose

Systemic Immune-Inflammation Index (SII), calculated by (neutrophils count × platelet count)/lymphocytes count, is a novel index of the local immune response and systemic inflammation response. The SII has been shown to play an important role in the prognosis of many diseases, including cardiovascular diseases, cancer and COPD. However, its role in the prognosis of bronchiectasis remains unclear and requires further investigation. This study aimed to investigate the association between SII and readmissions in patients with acute exacerbations of bronchiectasis.

Patients and Methods

We conducted a retrospective cohort study of all bronchiectasis patients admitted to the respiratory ward in Beijing Chaoyang Hospital from January 2020 to January 2022. Patients were classified into four groups according to the quartiles of log2(SII) at admission. The primary endpoint was readmission at 1-year follow up. Univariate and multivariate cox regression models were applied to investigate the relationship between SII and readmissions at 1-year follow up in patients with bronchiectasis.

Results

A total of 521 patients were included in our study. The median (IQR) SII at admission were 506.10 (564.84). Patients with higher SII tended to be older, male, past and current smokers, have lower BMI, and more dyspnea symptoms. They also had higher inflammatory markers and received a greater spectrum of antibiotics and more intravenous glucocorticoids. Higher SII at admission were independently associated with readmission in patients with acute exacerbations for bronchiectasis following confounder adjustment (OR =1.007; 95% CI, 1.003-1.011; p <0.001).

Conclusion

Patients with elevated SII levels were typically older males, often smokers, with lower BMI and increased dyspnea. They received more antibiotics and intravenous glucocorticoids. Higher SII at admission are associated with readmission in patients with acute exacerbations of bronchiectasis. SII has potential clinical value as a predictive biomarker for clinical outcomes in bronchiectasis, offering a valuable tool for management strategies.

Systemic immune-inflammation index as a potential biomarker for predicting acute pulmonary embolism: A systematic review

BACKGROUND

Acute pulmonary embolism (APE) is a life-threatening condition with a high mortality rate. The pathophysiology involves various complex processes. The systemic immune-inflammatory index (SII) is a well-known biomarker that reflects the intricate balance between pro-inflammatory and anti-inflammatory immune components. In this systematic review, we aim to determine the significance of SII as a potential biomarker for APE.

METHOD

We utilized PubMed, ProQuest, EBSCOHost, and Google Scholar to search for articles. We assessed bias risk using the Newcastle Ottawa Scale (NOS). The outcomes we examined included in-hospital and long-term mortality, the severity of APE, and the sensitivity and specificity of the SII in predicting APE.

RESULTS

Four studies, involving 2,038 patients, were included for analysis. These studies discuss the use of SII in predicting APE severity, APE mortality, high-risk APE, and the occurrence of APE. SII demonstrates significant results in predicting each of these variables. Furthermore, each study establishes different SII cut-off values. Specifically, a cut-off of 1161 predicts massive APE events with a sensitivity of 91% and a specificity of 90%. A cut-off of >1235.35 differentiates high-risk APE with a sensitivity of 87.32% and a specificity of 68.85%. A cut-off of >1111x109 predicts overall mortality with a sensitivity of 72% and a specificity of 51%. Finally, a cut-off at 1839.91 predicts APE events with a sensitivity of 75.8% and a specificity of 61.9%.

CONCLUSION

The SII can be employed as a potential new biomarker to predict outcomes in APE patients, particularly the occurrence, severity, and mortality of APE.

A Nomogram for Predicting Infertility Risk in Patients With Varicocele Using Inflammatory Markers

The purpose of this study was to develop a nomogram using hemogram inflammatory markers to predict the risk of infertility in patients with varicocele (VC). Patients with VC from March 2022 to June 2024 were retrospectively investigated. We divided the patients into two groups based on their fertility status. A total of 162 patients were enrolled: 81 in the infertile group and 81 in the fertile group. Statistical differences were observed between the two groups in lymphocyte, monocyte, erythrocyte, red cell distribution width (RDW), mean erythrocyte volume (MCV), mean platelet volume (MPV), platelet distribution width (PDW), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), MPV/platelet ratio (MPVPR), and systemic inflammation response index (SIRI) (p < .05). The 162 patients were divided into a modeling cohort and a validation cohort in a 7:3 ratio. A predictive nomogram was constructed based on independent influencing factors identified through univariate and multivariate logistic regression analyses. Receiver operating characteristic curve analysis, calibration curve, and decision curve analysis were used to assess the model's performance. Multivariate logistic regression analysis indicated that erythrocyte count, PDW, NLR, and SIRI were independent influencing factors. The area under the curve for the nomogram predicting the risk of infertility in patients with VC was 0.869 in the validation cohort. The nomogram demonstrated good predictive performance. In this study, we developed an effective predictive nomogram for assessing the risk of infertility in VC patients using inflammatory markers. However, further external validation is crucial.

Novel predictive factor for erectile dysfunction: systemic immune inflammation index

Systemic immune inflammation index (SII) is a global parameter that comprehensively reflects body inflammation, this study aims to assess the correlation between this index and erectile dysfunction (ED). This cross-sectional study incorporated 164 ED patients and 95 healthy adult males. The collection of general demographic information and pertinent hematological data from the participants enabled the computation of corresponding SII values. Statistical analysis, encompassing descriptive statistics as well as normality and logistic regression analyses, was carried out employing SPSS version 26. The findings of the univariate analysis revealed a noteworthy distinction in triglyceride levels (TG) (P = 0.017) and SII (P < 0.001) between ED patients and the healthy population. Subsequent multivariate logistic regression analysis unveiled a significant association between SII (odd ratio (OR):1.012, 95% confidence interval (CI):1.008-1.015; P < 0.001) and the occurrence of ED. Since the impact value is not clearly visible, SII/100 is utilized to magnify the effect value one hundredfold. The regression analysis results indicate that the OR value of SII/100 is 3.171, and the 95% CI is 2.339-4.298 (P < 0.001). The Receiver Operating Characteristic (ROC) curve analysis ascertained an AUC of 0.863 (P < 0.001) for SII, with a determined cut-off value of 391.53(109/L), exhibiting a sensitivity of 81.7% and specificity of 83.2%. Moreover, when comparing patients with varying degrees of ED severity, both univariate (P < 0.001) and subsequent multivariate logistic regression analyses (OR: 1.007, 95% CI: 1.004-1.010; P < 0.001) underscored the significance of the SII value. At this point, SII/100 OR: 1.971, 95% CI: 1.508-2.576 (P < 0.001). The ROC curve analysis in this context demonstrated an AUC of 0.799 (P < 0.001), with a determined cut-off value of 746.63(109/L), featuring a sensitivity of 60.6% and specificity of 91.6%. These discerned outcomes affirm a correlation between SII and ED, establishing its potential not only in predicting the onset of ED but also in differentiating among various levels of ED severity.

Gender differences in systemic inflammatory and nutritional index following radical surgery for advanced gastric cancer

OBJECTIVES

Albumin-globulin ratio (AGR), prognostic nutritional index (PNI), and platelet-to-lymphocyte ratio (PLR) have been validated as prognostic factors for gastric cancer (GC). However, significant gender differences exist in albumin levels and inflammatory cell counts, and further research is required to understand how these differences influence GC prognosis. This study aims to investigate the prognostic impact of nutritional and inflammatory indicators on GC patients undergoing radical surgery, as well as the influence of gender on these indicators' prognostic value.

METHODS

The study included 596 patients with advanced GC hospitalized in the Department of Gastrointestinal Surgery, General Surgery, Xiangya Hospital of Central South University from January 2012 to December 2016. Receiver operating characteristic (ROC) analysis was performed to determine cutoff values for nutritional and inflammatory factors. Univariate analysis was used to identify factors significantly affecting survival in GC patients, while multivariate and Kaplan-Meier analyses determined independent prognostic factors for GC.

RESULTS

Multivariate analysis revealed that postsurgical tumor node metastasis (pTNM) stage [stage II: hazard ratio (HR)=3.284, P=0.012; stage III: HR: 8.062, P<0.001], low preoperative AGR (HR=1.499, P=0.012), and postoperative PNI (HR=1.503, P=0.008) were risk factors for overall survival in male patients after radical GC surgery. For female patients, pN2-3 (HR=3.185, P<0.001), total gastrectomy (HR=2.286, P=0.004), low preoperative PLR (HR=1.702, P=0.027), and postoperative PNI (HR=1.943, P=0.011) were identified as risk factors for overall survival.

CONCLUSIONS

Postoperative PNI is an independent risk factor for all advanced GC patients. Preoperative PLR is an independent prognostic factor only for female patients, while preoperative AGR is an independent prognostic factor only for male patients. Further research is warranted to investigate the gender-specific differences in GC prognosis.

Prospective nutrition-inflammation markers for predicting early stoma-related complications in patients with colorectal cancer undergoing enterostomy

Background

Enterostomy is important for radical resection of colorectal cancer (CRC). Nevertheless, the notable occurrence of complications linked to enterostomy results in a reduction in patients' quality of life and impedes adjuvant therapy. This study sought to forecast early stoma-related complications (ESRCs) by leveraging easily accessible nutrition-inflammation markers in CRC patients.

Methods

This study involved 470 individuals with colorectal cancer who underwent intestinal ostomy at Changhai Hospital Affiliated with Naval Medical University as the internal cohort. Between January 2016 and December 2018, the patients were enrolled and randomly allocated into a primary training group and a secondary validation group, with a ratio of 2:1 being upheld. The research encompassed collecting data on each patient's clinical and pathological status, along with preoperative laboratory results. Independent risk factors were identified through Lasso regression and multivariate analysis, leading to the development of clinical models represented by a nomogram. The model's utility was assessed using decision curve analysis, calibration curve, and ROC curve. The final model was validated using an external validation set of 179 individuals from January 2015 to December 2021.

Results

Among the internal cohort, stoma complications were observed in 93 cases. Multivariate regression analysis confirmed that age, stoma site, and elevated markers (Mon, NAR, and GLR) in conjunction with diminished markers (GLB and LMR) independently contributed to an increased risk of ESRCs. The clinical model was established based on these seven factors. The training, internal, and external validation groups exhibited ROC curve areas of 0.839, 0.812, and 0.793, respectively. The calibration curve showed good concordance among the forecasted model with real incidence of ostomy complications. The model displayed outstanding predictive capability and is deemed applicable in clinical settings, as evidenced by Decision Curve Analysis.

Conclusion

This study identified nutrition-inflammation markers (GLB, NAR, and GLR) in combination with demographic data as crucial predictors for forecasting ESRCs in colorectal cancer patients. A novel prognostic model was formulated and validated utilizing these markers.

Neutrophil-lymphocyte ratio and systemic immune-inflammation index as predictors of cardiovascular risk and mortality in prediabetes and diabetes: a population-based study

BACKGROUND

The neutrophil-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) are emerging inflammatory markers related to cardiovascular outcomes. This study investigated their relationships with cardiovascular disease (CVD) and mortality among individuals with prediabetes or diabetes and assessed their predictive roles.

METHODS

A cohort of 6871 individuals with diabetes or prediabetes from the NHANES (2001-2018) was included. Weighted multivariate logistic regression models assessed NLR and SII associations with CVD risk, while survey-weighted Cox proportional hazards models evaluated their links to mortality. The predictive accuracy of the biomarkers for mortality was quantified by receiver-operating characteristic (ROC) curve analysis.

RESULTS

Individuals in the higher NLR and SII groups exhibited a high incidence of CVD. A total of 1146 deaths occurred throughout an average follow-up duration of 191 months, of which 382 were caused by CVD. Participants with higher NLR markedly increased the risk of all-cause (HR = 1.82) and cardiovascular mortality (HR = 2.07). A similar result was observed in the higher SII group. RCS analysis identified a linear correlation between NLR and CVD risk and mortality (p > 0.05), while SII showed a nonlinear correlation (p < 0.05). ROC results demonstrated that NLR exhibited a higher predictive ability in mortality than SII.

CONCLUSIONS

Elevated levels of NLR and SII correlated with an increased risk of CVD and both all-cause and cardiovascular mortality in individuals with diabetes or prediabetes. The NLR appears to be particularly valuable for assessing risk and predicting outcomes in these patients.

Combined systemic inflammatory immune index and prognostic nutrition index as chemosensitivity and prognostic markers for locally advanced gastric cancer receiving neoadjuvant chemotherapy: a retrospective study

BACKGROUND

The prognosis nutritional index (PNI) and the systemic inflammatory immunological index (SII) are characteristic indicators of the nutritional state and the systemic inflammatory response, respectively. However, there is an unknown combined effect of these indicators in the clinic. Therefore, the practicality of using the SII-PNI score to predict prognosis and tumor response of locally advanced gastric cancer (LAGC) following chemotherapy was the main focus of this investigation.

METHODS

We retrospectively analyzed 181 patients with LAGC who underwent curative resection after neoadjuvant chemotherapy in a prospective study (NCT01516944). We divided these patients into tumour regression grade(TRG) 3 and non-TRG3 groups based on tumor response (AJCC/CAP guidelines). The SII and PNI were assessed and confirmed the cut-off values before treatment. The SII-PNI values varied from 0 to 2, with 2 being the high SII (≥ 471.5) as well as low PNI (≤ 48.6), a high SII or low PNI is represented by a 1 and neither is represented by a 0, respectively.

RESULTS

51 and 130 samples had TRG3 and non-TRG3 tumor responses respectively. Patients with TRG3 had substantially higher SII-PNI scores than those without TRG3 (p < 0.0001). Patients with greater SII-PNI scores had a poorer prognosis (p < 0.0001). The SII-PNI score was found to be an independent predictor of both overall survival (HR = 4.982, 95%CI: 1.890-10.234, p = 0.001) and disease-free survival (HR = 4.763, 95%CI: 1.994-13.903, p = 0.001) in a multivariate analysis.

CONCLUSION

The clinical potential and accuracy of low-cost stratification based on SII-PNI score in forecasting tumor response and prognosis in LAGC is satisfactory.

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

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

Construction of a Model for Predicting the Risk of pT3 Based on Perioperative Characteristics in cT1 Renal Cell Carcinoma: A Retrospective Study at a Single Institution

INTRODUCTION

This study explored the predictors of upstaging and multiple sites of extension, and constructed a predictive model based on perioperative characteristics to calculate the risk of upstaging of cT1 renal cell carcinoma to pT3.

METHODS

We retrospectively reviewed 1012 patients diagnosed with cT1 renal cell carcinoma who underwent surgical treatment at the Affiliated Hospital of Qingdao University between June 2016 and August 2021. The continuous and categorical variables were analyzed using the Mann-Whitney U test and Chi-square test, respectively. After randomly dividing patients into a training set and an internal validation set with a ratio of 7:3, univariate and multivariate logistic regression analyses were used to explore the predictors of upstaging and multiple sites of extension. A nomogram model was established based on the predictors of upstaging and was validated.

RESULTS

Ninety-one cases (8.99%) of renal cell carcinoma were upstaged to pT3. In the training set, multivariate logistic regression identified the following predictors of upstaging: maximum tumor diameter, hilus involvement, tumor necrosis, tumor edge irregularity, symptoms, smoking, and platelet-lymphocyte ratio. A nomogram model was established based on the predictors. The area under the receiver operating characteristic curve was 0.810 in the training set, and 0.804 in the validation set. A 10-fold internal cross-validation conducted 200 times showed that the mean area under the curve was 0.797. The calibration curve and decision curve analysis suggested that the nomogram had robust clinical predictive power. Analyses showed higher neutrophil-lymphocyte ratio and tumor necrosis were associated with multiple sites of extrarenal extension in patients with pT3a renal cell carcinoma.

CONCLUSIONS

We identified 7 predictors of upstaging to pT3 and 2 predictors of multiple sites of extension. A nomogram model was constructed with satisfactory accuracy for predicting upstaging to pT3.

Serum S100β Levels Are Linked with Cognitive Decline and Peripheral Inflammation in Spinocerebellar Ataxia Type 2

Experimental and clinical studies have indicated a potential role of the protein S100β in the pathogenesis and phenotype of neurodegenerative diseases. However, its impact on spinocerebellar ataxia type 2 (SCA2) remains to be elucidated. The objective of the study is to determine the serum levels of S100β in SCA2 and its relationship with molecular, clinical, cognitive, and peripheral inflammatory markers of the disease. Serum concentrations of S100β were measured by enzyme-linked immunosorbent assay in 39 SCA2 subjects and 36 age- and gender-matched controls. Clinical scores of ataxia, non-ataxia symptoms, cognitive dysfunction, and some blood cell count-derived inflammatory indices were assessed. The SCA2 individuals manifested S100β levels similar to the control group, at low nanomolar concentrations. However, the S100β levels were directly associated with a better performance of cognitive evaluation within the SCA2 cohort. Moreover, the S100β levels were inversely correlated with most peripheral inflammatory indices. Indeed, the neutrophil-to-lymphocyte ratio significantly mediated the effect of serum S100β on cognitive performance, even after controlling for the ataxia severity in the causal mediation analysis. Our findings suggested that, within physiologic concentrations, the protein S100β exerts a neuroprotective role against cognitive dysfunction in SCA2, likely via the suppression of pro-inflammatory mechanisms.

Association between SII and markers of liver injury: A cross-sectional study from the NHANES (2017-2020)

INTRODUCTION

A novel indicator of inflammation is the systemic immune-inflammation index (SII), and liver dysfunction is linked to the advancement of inflammation. In light of this, this study aims to look into any potential connections between SII and markers of liver injury.

METHODS

A cross-sectional study was conducted using the National Health and Nutrition Examination (NHANES) dataset for 2017-2020. The linear relationship between SII and markers of liver injury was examined using multiple linear regression models. Examining threshold effects and fitted smoothed curves were utilized to describe nonlinear connections.

RESULTS

A total of 8213 adults aged 18-80 years participated in this population-based study. In the fully adjusted model, SII maintained a negative association with ALT(β = -0.003, 95%CI:-0.005, -0.002, P<0.00001), AST(β = -0.004, 95% CI:-0.005, -0.002, P<0.00001), and GGT(β = -0.004, 95% CI:-0.007, -0.000, P = 0.03791) and a positive association with ALP (β = 0.005, 95% CI:0.003, 0.007, P<0.00001). In subgroup analyses, it was found that SII remained negatively correlated with ALT, AST and GGT in gender, age and body mass index. SII was positively correlated with ALP at BMI≥25(kg/m2)(β = 0.005, 95% CI:0.003, 0.008, P = 0.00001), and was negatively correlated with ALT(β = -0.004, 95% CI:-0.005, -0.002, P<0.00001), AST(β = -0.004, 95% CI:-0.005, -0.003, P<0.00001) and GGT(β = -0.004, 95% CI:-0.008, -0.000, P = 0.02703) at BMI≥25, whereas no significant correlation was observed at BMI<25 (all P-values>0.05). Furthermore, the association between SII and markers of liver injury was nonlinear. By using a two-stage linear regression model for analysis, a U-shaped relationship was found to exist between SII and ALT with a turning point of 818.40(1,000 cells/μl). The inflection points of SII with AST and GGT were 451.20 (1,000 cells/μl) and 443.33 (1,000 cells/μl), respectively, and no significant inflection point with ALP was observed. Interaction tests demonstrated that SII correlation with ALT, AST, ALP, and GGT was not significantly different between strata (all p for interaction>0.05).

CONCLUSIONS

The research findings suggested that there was a negative correlation between SII and ALT, AST and GGT, and a positive correlation with ALP. However, larger prospective investigations are still greatly needed to confirm the findings.

Association between heavy metals exposure and persistent infections: the mediating role of immune function

Introduction

Persistent infections caused by certain viruses and parasites have been associated with multiple diseases and substantial mortality. Heavy metals are ubiquitous environmental pollutants with immunosuppressive properties. This study aimed to determine whether heavy metals exposure suppress the immune system, thereby increasing the susceptibility to persistent infections.

Methods

Using data from NHANES 1999-2016, we explored the associations between heavy metals exposure and persistent infections: Cytomegalovirus (CMV), Epstein-Barr Virus (EBV), Hepatitis C Virus (HCV), Herpes Simplex Virus Type-1 (HSV-1), Toxoplasma gondii (T. gondii), and Toxocara canis and Toxocara cati (Toxocara spp.) by performing logistic regression, weighted quantile sum (WQS) and Bayesian kernel machine regression (BKMR) models. Mediation analysis was used to determine the mediating role of host immune function in these associations.

Results

Logistic regression analysis revealed positive associations between multiple heavy metals and the increased risk of persistent infections. In WQS models, the heavy metals mixture was associated with increased risks of several persistent infections: CMV (OR: 1.58; 95% CI: 1.17, 2.14), HCV (OR: 2.94; 95% CI: 1.68, 5.16), HSV-1 (OR: 1.25; 95% CI: 1.11, 1.42), T. gondii (OR: 1.97; 95% CI: 1.41, 2.76), and Toxocara spp. (OR: 1.76; 95% CI: 1.16, 2.66). BKMR models further confirmed the combined effects of heavy metals mixture and also identified the individual effect of arsenic, cadmium, and lead. On mediation analysis, the systemic immune inflammation index, which reflects the host's immune status, mediated 12.14% of the association of mixed heavy metals exposure with HSV-1 infection.

Discussion

The findings of this study revealed that heavy metals exposure may increase susceptibility to persistent infections, with the host's immune status potentially mediating this relationship. Reducing exposure to heavy metals may have preventive implications for persistent infections, and further prospective studies are needed to confirm these findings.

Analysis of preoperative nutrition, immunity and inflammation correlation index on the prognosis of upper tract urothelial carcinoma surgical patients: a retrospective single center study

BACKGROUND

SII, PNI, SIRI, AAPR, and LIPI are prognostic scores based on inflammation, nutrition, and immunity. The purpose of this study was to examine the prognostic value of the SII, PNI, SIRI, AAPR, and LIPI in patients with UTUC who underwent radical nephroureterectomy with bladder cuff excision.

MATERIALS AND METHODS

Data of UTUC patients in Sichuan Provincial People's Hospital from January 2017 to December 2021 were collected. The optimal critical values of SII, PNI, SIRI, and AAPR were determined by ROC curve, and LIPI was stratified according to the dNLR and LDH. The Kaplan-Meier method was used to draw the survival curve, and Cox proportional hazard model was used to analyze the factors affecting the prognosis of UTUC patients.

RESULTS

A total of 81 patients with UTUC were included in this study. The optimal truncation value of PNI, SII, SIRI and AAPR were determined to be 48.15, 596.4, 1.45 and 0.50, respectively. Univariate Cox proportional hazard regression showed that low PNI, high SII, high SIRI, low AAPR and poor LIPI group were effective predictors of postoperative prognosis of UTUC patients. Multivariate Cox proportional hazard regression showed that high SII was an independent risk factor for postoperative prognosis of UTUC patients. According to ROC curve, the prediction efficiency of fitting indexes of PNI, SII, SIRI, AAPR and LIPI is better than that of using them alone.

CONCLUSIONS

The SII, PNI, SIRI, AAPR, and LIPI was a potential prognostic predictor in UTUC patients who underwent radical nephroureterectomy with bladder cuff excision.

Smoking increases risk of complication after musculoskeletal surgery: analysis of single immune parameter to predict complication risk

Smoking is the most significant and modifiable risk factor for a range of conditions, including cancer, cardiovascular and respiratory diseases. Furthermore, it significantly reduces bone mass and increases the risk of fragility fractures due to its detrimental effects on bone metabolism and regeneration. Moreover, smoking is a known cause of chronic systemic inflammation, leading to an imbalance of cytokines. Comprehending the pathological mechanisms that underlie cytokine production and its impact on post-surgical healing is essential to prevent post-surgical complications. The present study recruited a total of 1144 patients, including 897 patients, among them non-smokers (N = 413), current smokers (N = 201) and ex-smokers (N = 283). Human proteome profiler arrays were used to screen for smoking-dependent differences in the serum cytokine and protein profiles, after matching samples for age, gender, body mass index (BMI), alcohol use, and diabetes risk. Cytokines and immune checkpoint proteins such as CD28, B7-1, MIG, TGFβ2 and IL-1α/β were quantified by ELISA. Our study demonstrates a comprehensive understanding of the relationship between smoking, the development of complications, the systemic immune inflammation index (SII) and cytokine/protein levels. We found that a comparison of non-smokers, former smokers, and active smokers in our study cohort did not exhibit significantly altered cytokine and protein serum levels although other studies reported differences between smokers and non-smokers. We were unable to identify single blood circulating markers that could predict complications in smokers after trauma. However, we found the ratio of women to men to be inverted between non-smokers and active smokers resulting in a ratio of 0.62 in smokers. Furthermore, we demonstrate a higher complication rate, longer hospitalizations and elevated SII values among smokers, indicating an involvement of the immune system. See also the graphical abstract(Fig. 1).

Exploring the inverse relationship between serum total bilirubin and systemic immune-inflammation index: insights from NHANES data (2009-2018)

BACKGROUND

Bilirubin is known for its multifaceted attributes, including antioxidant, anti-inflammatory, immunomodulatory, and antiapoptotic properties. The systemic immune-inflammation index (SII) is a recent marker that reflects the balance between inflammation and immune response. Despite the wealth of information available on bilirubin's diverse functionalities, the potential correlation between the total bilirubin (TB) levels and SII has not been investigated so far.

METHODS

Leveraging data from the National Health and Nutrition Examination Survey spanning 2009-2018, the TB levels were categorized using tertiles. Employing the chi-squared test with Rao and Scott's second-order correction and Spearman's rank correlation analysis, the association between TB and SII was examined. The potential nonlinearities between TB and SII were evaluated using restricted cubic spline (RCS) analysis. Weighted linear regression, adjusted for covariates, was used to explore the correlation between TB and SII, with further subgroup analyses.

RESULTS

A total of 16,858 participants were included, and the findings revealed significant SII variations across TB tertiles (p < 0.001). The third tertile (Q3) exhibited the lowest SII level at 495.73 (295.00) 1000 cells/µL. Spearman rank correlation disclosed the negative association between TB and SII. RCS analysis exposed the lack of statistically significant variations in the nonlinear relationship (p > 0.05), thereby providing support for a linear relationship. Weighted linear regression analysis underscored the negative correlation between TB and SII (β 95% CI - 3.9 [- 5.0 to  - 2.9], p < 0.001). The increase in the TB levels is associated with a significant linear trend toward decreasing SII. After controlling for relative covariates, this negative correlation increased (p < 0.001). Subgroup analysis confirmed the significant negative TB-SII association.

CONCLUSION

A notable negative correlation between TB and SII implies the potential protective effects of bilirubin in inflammation-related diseases.

Association of the systemic immune-inflammation index (SII) and severity of diabetic ketoacidosis in patients with type 1 diabetes mellitus: a retrospective cohort study

Background

Diabetic ketoacidosis (DKA) is the most serious metabolic complication of type 1 diabetes mellitus (T1DM). Insulin deficiency and inflammation play a role in the pathogenesis of DKA. The authors aimed to assess the systemic immune-inflammation index (SII) as a marker of severity among T1DM patients with DKA and without infection.

Methods

The authors included T1DM patients older than or equal to 12 years hospitalized because of DKA. The authors excluded patients with infection or any condition that can change SII parameters or cause metabolic acidosis. The authors compared SII, neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) between severe and non-severe DKA groups. The authors also assessed the need for an ICU, length of stay, and 90-day readmission rate between the groups.

Results

The study included 241 patients with a median age of 17 (14, 24) years, and 44.8% were males. More patients with severe DKA (45%) required ICU admission (P<0.001). Median SII increased with DKA severity, and the difference was significant (P=0.033). No significant difference was observed as regards median NLR or PLR (P=0.380 and 0.852, respectively). SII, but not NLR or PLR, had a significant negative correlation with PH (r=-0.197, P=0.002) and HCO3 level (r=-0.144, P=0.026). Also, being in the highest SII quartile was an independent risk factor for DKA severity (OR, 2.522; 95% CI, 1.063-6.08; P=0.037). The authors estimated an SII cut-off value of 2524.24 to predict DKA severity with high specificity.

Conclusion

Elevated SII is a risk factor for DKA severity in T1DM. It is better than NLR and PLR in prognosticating DKA patients. These findings highlight the role of inflammation in DKA. SII can help as a valuable and simple tool to assess DKA severity.

Neutrophil-to-lymphocyte ratio may predict complications and patency in bile duct injury repair

BACKGROUND

Bile duct injury (BDI) repair surgery is usually associated with morbidity/mortality. The neutrophil-to-lymphocyte ratio (NLR) easily assesses a patient's inflammatory status. The study aims to determine the possible relationship between preoperative NLR (pNLR) with postoperative outcomes in BDI repair surgery.

METHODS

Approved Ethics/Research Committee retrospective study, in patients who had a Bismuth-Strasberg type E BDI repair (2008-2023). Data registered was: morbidity, mortality, and long-term outcomes (primary patency and loss of primary patency) (Kaplan-Meier). Group comparison (U Mann-Whitney), receiver operator characteristic (ROC): area under curve [AUC]; cut-off value, and Youden index [J], and logistic regression analysis were used for pNLR evaluation.

RESULTS

Seventy-three patients were studied. Mean age was 44.4 years. E2 was the commonest BDI (38.4%). Perioperative morbidity/mortality was 31.5% and 1.4%. Primary patency was 95.9%. 8.2% have lost primary patency (3-year actuarial patency: 85.3%). Median pNLR was higher in patients who had any complication (4.84 vs. 2.89 p = 0.015), biliary complications (5.29 vs. 2.86 p = 0.01), and patients with loss of primary patency (5.22 vs. 3.1 p = 0.08). AUC's, cut-off values and (J) were: any complication (0.678, pNLR = 4.3, J = 0.38, p = 0.007), serious complication (0.667, pNLR = 4.3, J = 0.34, p = 0.04), biliary complications (0.712, pNLR = 3.64, J = 0.46, p = 0.001), and loss of primary patency (0.716, pNLR = 3.24, J = 0.52, p = 0.008). Logistic regression was significant in any complication (Exp [B]: 0.1, p = 0.002), serious complications (Exp [B]: 0.2, p = 0.03), and biliary complications (Exp [B]: 8.1, p = 0.003).

CONCLUSIONS

pNLR is associated with complications in BDI repair with moderate to acceptable predictive capacity. pNLR could potentially predict patency of a BDI repair.

Evaluation of systemic immune-inflammation index for predicting late-onset fetal growth restriction

INTRODUCTION

To determine a cut-off value for systemic immune-inflammation index (SII) (neutrophil × platelet/lymphocyte) in the prediction of fetal growth restriction (FGR).

MATERIALS AND METHODS

This case-control study was conducted retrospectively at the Obstetrics-Gynecology and Perinatology Clinics of Etlik Zubeyde Hanim Women's Health Education and Training Hospital. Singleton pregnant women with late-onset FGR who were followed up in outpatient clinics or hospitalized and whose pregnancy resulted at our hospital were included in the study group (group I). Healthy early and full-term singleton pregnant women with spontaneous labor who were followed up in the same hospital and whose pregnancy resulted at the same hospital were included in the control group (group II). Receiver-operating characteristic curves were used to assess the performance of SII value in predicting FGR.

RESULTS

We recruited 79 cases (pregnant with late-onset fetal growth restriction) and 79 controls (healthy pregnant), matched for age, body mass index, and parity. ΔSII was statistically significantly higher in the pregnant with late-onset FGR compared with healthy pregnant (123 vs - 65; p = 0.039). The values in ROC curves with the best balance of sensitivity/specificity were > 152 109/L (49% sensitivity, 70% specificity) and > 586 109/L (27% sensitivity, 90% specificity) for late-onset FGR.

DISCUSSION

Higher ΔSII levels in maternal blood indicate an inflammatory process causing FGR. The cut-off value for ΔSII (> 586 109/L) at 90% specificity can be used as a screening test. In the presence of ΔSII levels > 586 109/L (27% sensitivity and 90% specificity), the physicians should be more cautious about risk for FGR. Therefore, pregnant women at risk for FGR should be checked more frequently and monitored closely. However, further studies are needed to confirm our findings.

Association of systemic immune-inflammation index with asthma and asthma-related events: a cross-sectional NHANES-based study

Background

Asthma is associated with persistent airway inflammation, and numerous studies have investigated inflammatory markers causing asthma. However, the systemic immune-inflammation index (SII) is a novel inflammatory marker, with scarce research reporting on the correlation between SII and asthma and asthma-related events.

Objective

The purpose of this study was to assess the relationship between SII and asthma and asthma-related events (including whether asthma is still present, asthma flare-ups in the past year, and asthma duration) using data from the National Health and Nutrition Examination Survey (NHANES).

Methods

The study utilized data from NHANES 2009-2018 with asthma and asthma-related events as dependent variables and SII as an independent variable. Multifactor logistic regression was employed to assess the correlation between the independent and dependent variables. Smoothed curve-fitting and threshold effect analyses were also carried out to determine the presence of non-linear relationships. Subgroup analyses were then performed to identify sensitive populations.

Results

In this study, we analyzed data from 40,664 participants to elucidate the association between SII and asthma and its related events. The study findings indicated a positive correlation between SII and asthma, with a relative risk increase of 0.03% for asthma incidence per one percentage point increase in SII (OR = 1.0003, 95% CI: 1.0002, 1.0004). For individuals still suffering from asthma, higher SII also indicated a positive correlation with ongoing asthma (OR = 1.0004, 95% CI: 1.0001, 1.0006). However, no statistically significant association was observed between SII and asthma exacerbations within the following year (OR = 1.0001, p > 0.05). When considering the duration of asthma, we observed a slight positive correlation with SII (β = 0.0017, 95% CI: 0.0005, 0.0029). Additionally, a significant non-linear relationship between SII and asthma duration emerged at the threshold of 504.3 (β = 0.0031, 95% CI: 0.0014-0.0048, p = 0.0003). Subgroup analysis revealed a stronger correlation between SII and asthma in male patients (OR = 1.0004, 95% CI: 1.0002-1.0006) and individuals aged 60 and above (OR = 1.0005, 95% CI: 1.0003-1.0007). No gender differences were observed for individuals still suffering from asthma. However, the positive correlation between SII and asthma was more pronounced in participants under 20 years old (OR = 1.0004 in Model 3, 95% CI: 1.0002-1.0006). Specific sensitive subgroups for asthma exacerbation recurrence within the past year were not identified. When considering asthma duration, we observed this association to be significant in male individuals (β = 0.0031 in Model 3, 95% CI: 0.0014-0.0049) as well as individuals aged 20 to 39 (β = 0.0023 in Model 3, 95% CI: 0.0005-0.0040).

Conclusion

Our study concludes that SII is positively correlated with the persistence of asthma yet has limited predictive power for asthma recurrence. This highlights SII's potential as a tool for assessing asthma risk and formulating targeted management strategies.

The success of SII, MII-1, MII-2, MII-3, and QT dispersion in predicting the walled-off pancreatic necrosis development in acute pancreatitis in the emergency department: An observational study

walled-off pancreatic necrosis (WOPN) is one of the complications of acute pancreatitis (AP) with high mortality. A method to predict the development of WOPN in AP patients admitted to the emergency department may guide life-saving practices such as early initiation of antibiotic therapy and, when necessary, referral of the patient to a center where necrosectomy can be performed. This study is a prospective observational study. One hundred eleven AP patients who applied to the emergency department were included in the study. The mean of QT interval (QT) dispersion, systemic immune-inflammation Index (SII), multi-inflammatory index-I (MII-1), multi-inflammatory index-II (MII-2), and multi-inflammatory index-III (MII-3) were compared between patients who developed WOPN and patients who did not develop WOPN during their hospitalization. In the study, the mean of QT dispersion, SII, MII-1, MII-2, and MII-3 were significantly lower in the patient group who developed WOPN compared to those who did not develop WOPN. In the receiver operating characteristic analysis, all methods except SII were found to be successful in predicting WOPN. QT dispersion, SII, MII-1, MII-2, and MII-3 are valuable tools that provide rapid results and successfully predict the development of WOPN in AP. However, MII-2 and QT dispersion appears to be slightly more successful than the others.

Values of a novel comprehensive prognostic nutritional index (FIDA) in the prognosis of non-small cell lung cancer

Background

This study focuses on determining the prognostic and predictive value of the comprehensive prognostic nutrition index (FIDA) in individuals undergoing treatment for Non-Small-Cell Lung Carcinoma (NSCLC).

Methods

This retrospective analysis encompassed 474 of NSCLC patients treated from January 2010 through December 2019. Employing the Lasso-COX regression approach, eight blood parameters were identified as significant prognostic indicators. These parameters contributed to the formulation of the comprehensive prognostic nutrition index FIDA. Utilizing X-tile software, the patient cohort was categorized into either a high or low FIDA group based on an established optimal threshold. The cohort was then randomly segmented into a training set and a validation set using SPSS software. Subsequent steps involved conducting univariate and multivariate regression analyze to develop a prognostic nomogram. The effectiveness of this nomogram was evaluated by calculating the AUC.

Results

Analysis of survival curves for both the training and validation sets revealed a poorer prognosis in the high FIDA group compared to the low FIDA group. This trend persisted across various subgroups, including gender, age, and smoking history, with a statistical significance (p<0.05). Time-dependent ROC and diagnostic ROC analyses affirmed that FIDA serves as an effective diagnostic and prognostic marker in NSCLC. Moreover, Cox regression multivariate analysis established FIDA as an independent prognostic factor for NSCLC. The prognostic nomogram, integrating FIDA and clinical data, demonstrated substantial prognostic utility and outperformed the traditional TNM staging systemin predicting overall survival (OS).

Conclusion

FIDA emerges as a dependable predictor of outcomes for patients with NSCLC. It offers a practical, cost-effective tool for prognostication in regular clinical applications.

The predictive value of LGR for distant metastasis-free survival in locally advanced rectal cancer patients

Studies show that inflammation induced by cancer is a key factor in carcinogenesis. Here, we sought to assess the relationship between patients with locally advanced rectal cancer (LARC) and the lymphocyte to neutrophil granulocyte ratio (LGR) prior to neoadjuvant chemoradiotherapy (nCRT) and distant metastasis-free survival (DMFS). Using a receiver operating characteristic (ROC) analysis of 326 LARC patients who underwent total mesorectal excision (TME) surgery and neoadjuvant chemoradiotherapy, we were able to determine the ideal LGR cutoff value. We used the Kaplan-Meier method and univariate and multivariate Cox regression to study the clinical characteristics of LARC patients in comparison between the low LGR group and the high LGR group. DMFS analysis was one of the primary clinical variables examined. We discovered that the low LGR group of LARC patients had a longer DMFS than the high LGR group. The median duration of follow-up for LARC patients was 89.4 months, with a significantly lower DMFS observed in the high LGR group compared to the low LGR group. Multivariate Cox regression analysis revealed that LARC patients with low LGR levels, early ypTNM stages, and BRAF wild had longer DMFS. LGR prior to nCRT was a critical prognostic indicator that contributed extra predictive value beyond conventional clinicopathological characteristics to predict the outcome of LARC patients receiving neoadjuvant chemoradiotherapy followed by TME surgery.

Association between systemic immunity-inflammation index and sex hormones in children and adolescents aged 6-19

Objectives

This study aimed to evaluate the relationship between systemic immune-inflammation index (SII) and sex hormones in children and adolescents aged 6-19 years.

Methods

Data were obtained from the National Health and Nutrition Examination Survey (NHANES) conducted between 2013 and 2016. Inclusion criteria comprised subjects aged 6-19 years with complete data on both SII and sex hormones. We employed weighted multiple regression analysis and subgroup analytical methods to independently estimate the relationship between SII and sex hormones.

Results

In this study, a total of 3767 participants were included, with an average age of 12.32 ± 3.95 years. Males constituted 50.54%, and females 49.46%. Among males, a statistically significant negative correlation emerged between SII and sex hormone-binding globulin (SHBG). Similarly, in the female population, SII exhibited a statistically significant negative correlation with total testosterone (TT), SHBG, and the Ratio of TT to estradiol, while maintaining a positive correlation with free androgen index (FAI). Subgroup analysis underscored variances in the association between sex hormones and SII within cohorts distinguished by pubertal status or different body mass index (BMI). In addition, the relationship between SII and estradiol exhibited nonlinearity. Employing a two-segment linear regression model, we identified an inverted U-shaped association between SII and estradiol, with an inflection point of 748.09 (1000cell/ml).

Conclusion

Our findings suggest that SII may be an independent risk factor for changes in sex hormones in both male and female children and adolescents. More prospective and experimental studies should be conducted to validate our results and elucidate the underlying molecular pathways.

Plasma 25-hydroxyvitamin D deficiency in the peri-operative period is associated with survival outcome in colorectal cancer patients: a meta-analysis

AIM

Surgery had a significant impact on 25-hydroxyvitamin D (25-(OH)D) levels. Uncertainty still existed regarding the effects of peri-operative 25(OH)D deficiency on colorectal cancer (CRC) patients' prognosis. The purpose of the present study was to explore the potential association between the peri-operative 25(OH)D deficiency and the survival outcome of CRC.

METHODS

Seven electronic databases [including PubMed, EMBASE, Web of Science, The Cochrane Library, OvidMEDLINE(R), China National Knowledge Infrastructure (CNKI) and Wangfang data] were searched without language limitations. The primary outcomes were overall survival and all-cause mortality. Secondary outcomes were the incidence of 25(OH)D deficiency and risk variables for low 25(OH)D level in the peri-operative period.

RESULTS

14 eligible studies were obtained with 9324 patients for meta-analysis. In the peri-operative period, the pooled incidence of blood 25(OH)D deficiency was 59.61% (95% CI: 45.74-73.48). The incidence of blood 25(OH)D deficiency post-operatively (66.60%) was higher than that pre-operatively (52.65%, 95% CI: 32.94-72.36). Male (RR = 1.09, 95% CI: 1.03-1.16), rectum tumor (RR = 1.23, 95% CI: 1.03-1.47), spring and winter sampling (RR = 1.24, 95% CI: 1.02-1.49) were the risk factors for the 25(OH)D deficiency. The association between the low 25(OH)D post-operatively and short-term overall survival (HR = 0.43, 95% CI: 0.24-0.77) was most prominent, while a low 25(OH)D pre-operatively (HR = 0.47, 95% CI: 0.31-0.70) was more significantly associated with long-term all-cause mortality than that after surgery.

CONCLUSION

Peri-operative 25(OH)D impacted the CRC patients' prognosis. Due to possible confounding effects of systemic inflammatory response (SIR), simultaneous measurement of vitamin D and SIR is essential for colorectal survival.

Assessment of leukocyte and systemic inflammation index ratios in dyslipidemia patients with dry eye disease: a retrospective case‒control study

BACKGROUND

Dry eye disease (DED) is a complication of dyslipidemia (DLP) that is caused by metabolic syndrome and increased inflammation. This research aimed to assess leukocyte and systemic inflammation index ratios as potential biomarkers for systemic inflammation in dyslipidemia patients with dry eye disease (DLP-DED).

METHODS

Several blood biomarkers were studied in 32 patients with DLP-DED (study group) and 63 patients with DLP-only (control group). The evaluated blood biomarkers included specific systemic inflammation index ratios, such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and neutrophil-to-lymphocyte and platelet ratio (NLPR), and lipid profiles, such as total cholesterol (TC), high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), triglyceride (TG), albumin (ALB), and C-reactive protein (CRP) levels.

RESULTS

Lymphocyte levels were significantly greater in the DLP-DED group than in the DLP-only group (P = 0.044). In addition, a significant negative correlation between HDL and the NLPR (P = 0.007; r= -0.428) and a significant negative correlation between the serum ALB concentration and the PLR (P = 0.008; r= -0.420) were identified as potential inflammatory predictors of DLP-DED.

CONCLUSION

The findings of this study suggest that patients with DLP-DED may benefit from routine blood monitoring of their elevated lipid profile and blood inflammatory biomarkers, such as CRP, leukocytes, and systemic inflammation index ratios (NLR, PLR, MLR, and NLPR), to reduce the complications of DLP on ocular health. The correlation data suggest that the NLPR, PLR, serum ALB concentration, and serum HDL concentration may be valuable inflammatory biomarkers in DLP-DED patients. More research is required to ascertain the significance of the NLR, PLR, MLR, and NLPR and the additive role that leukocytes play.

L-shaped association of systemic immune-inflammation index (SII) with serum soluble α-Klotho in the prospective cohort study from the NHANES database

The systemic immune-inflammation index (SII), an integrated and ground-breaking inflammatory measure, has been widely used in various fields. We aimed to assess the association between the systemic immune-inflammation index (SII) and α-Klotho (a new anti-aging biomarker). In this cross-sectional investigation, people with complete information on SII and α-Klotho from the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2016 were the study's subject population. SII was calculated by platelet count × neutrophil count/lymphocyte count. The association between SII and α-Klotho was investigated using multivariable linear regression and a generalized additive model. In order to explore the non-linear connection, we employed smoothed curve fitting. Subgroup analysis were also performed. A total of 13,701 participants with an average age of 57.73 ± 10.86 years were enrolled, of whom 51.53% were female. After fully adjustment, SII was negatively associated with serum soluble α-Klotho [β(95% CI) =  - 0.07 (- 0.08, - 0.05)]. Furthermore, we found L-shaped association between SII and klotho protein level, with the inflection point at 255 pg/ml. Subgroup analysis and interaction test revealed that there was no discernible dependence on gender, age, race, smoking, alcohol, diabetes and hypertension (all p for interaction > 0.05). SII level was negatively associated with serum klotho protein concentration in American adults. To verify our findings, more large-scale prospective investigations are still required.