Prediction of Immune-Related Adverse Events in Non-Small Cell Lung Cancer Patients Treated with Immune Checkpoint Inhibitors Based on Clinical and Hematological Markers: Real-World Evidence

Xu, Huiru; Feng, Huijing; Zhang, Wei Hong; Feng, Wei; Zhou, Li; Liu, Liang; Zhao, Yu; Lv, Yingge; Shi, Xiuhuan; Zhang, Junping; Ren, Xiubao

doi:10.2139/ssrn.4040026

Cited by 2 publications

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“…The systemic immune-inflammation index (SII) is an integrated and novel inflammatory biomarker as reported in the study by Hu et al (11) in 2014, which could reflect the local immune response and systemic inflammation in the whole human body (12)(13)(14)(15). SII has been used in past studies to predict and evaluate the prognosis of various solid tumors, such as gastric cancer (16, 17), non-small cell lung cancer (18,19), pancreatic cancer (20), and esophageal cancer (21,22). In addition, SII also has a high value for the prognosis of cardiovascular disease (23)(24)(25)(26)(27).…”

Section: Introductionmentioning

confidence: 99%

Association between SII and hepatic steatosis and liver fibrosis: A population-based study

et al. 2022

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BackgroundThe systemic immune-inflammation index (SII) is a novel marker of inflammation, and hepatic steatosis and fibrosis are associated with inflammation. This study aimed to investigate the possible relationship between SII and hepatic steatosis and fibrosis.MethodsThe datasets from the National Health and Nutrition Examination Survey (NHANES) 2017–2020 were used in a cross-sectional investigation. Multivariate linear regression models were used to examine the linear connection between SII and controlled attenuation parameter (CAP) and liver stiffness measurement (LSM). Fitted smoothing curves and threshold effect analysis were used to describe the nonlinear relationship.ResultsThis population-based study included a total of 6,792 adults aged 18–80 years. In a multivariate linear regression analysis, a significant positive association between SII and CAP was shown [0.006 (0.001, 0.010)]. This positive association in a subgroup analysis was maintained in men [0.011 (0.004, 0.018)] but not in women. Furthermore, the association between SII and CAP was nonlinear; using a two-segment linear regression model, we found an inverted U-shaped relationship between SII and CAP with an inflection point of 687.059 (1,000 cells/µl). The results of the multiple regression analysis showed that the relationship between SII and LSM was not significant (P = 0.263).ConclusionsOur findings imply that increased SII levels are linked to hepatic steatosis, but SII is not linked to liver fibrosis. To confirm our findings, more large-scale prospective investigations are needed.

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Section: Introductionmentioning

confidence: 99%

Association between SII and hepatic steatosis and liver fibrosis: A population-based study

et al. 2022

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“…It accurately reflects the local immune response and systemic inflammatory status of body (11). Multiple studies have substantiated the prognostic value of SII in assessing outcomes for various cancer patients, encompassing bladder cancer (12), cervical cancer (11), non-small cell lung cancer (13), colorectal cancer (14), and gastric cancer (15). In recent years, SII has emerged as an indicator for detecting chronic inflammatory disease beyond tumors.…”

Section: Introductionmentioning

confidence: 99%

Association of systemic immune-inflammation index with insulin resistance and prediabetes: a cross-sectional study

Guo,

Wan,

Zhu

et al. 2024

Front. Endocrinol.

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Background and ObjectivePrevious research suggested a relationship between the Systemic Immune-Inflammation Index (SII) and multiple adverse health conditions. However, the role of SII in prediabetes and insulin resistance (IR) remains poorly understood. Therefore, this study aims to explore the potential relationship between SII and prediabetes and IR, providing data support for effective diabetes prevention by reducing systemic inflammation.MethodsLinear regression models were used to assess the correlation between continuous SII and risk markers for type 2 diabetes (T2D). Subsequently, multivariate logistic regression models and subgroup analyses were employed to evaluate the association between SII tertiles and prediabetes and IR, controlling for various confounding factors. Finally, restricted cubic spline graphs were used to analyze the nonlinear relationship between SII and IR and prediabetes.ResultsAfter controlling for multiple potential confounders, SII was positively correlated with fasting blood glucose (FBG) (β: 0.100; 95% CI: 0.040 to 0.160), fasting serum insulin (FSI) (β: 1.042; 95% CI: 0.200 to 1.885), and homeostasis model assessment of insulin resistance (HOMA-IR) (β: 0.273; 95% CI: 0.022 to 0.523). Compared to participants with lower SII, those in the highest tertile had increased odds of prediabetes (OR: 1.17; 95% CI: 1.02-1.34; p for trend < 0.05) and IR (OR: 1.35; 95% CI: 1.18 to 1.51; p for trend<0.001).ConclusionsOur study results demonstrate an elevated association between SII levels and both IR and prediabetes, indicating SII as a straightforward and cost-effective method identifying individuals with IR and prediabetes.

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Prediction of Immune-Related Adverse Events in Non-Small Cell Lung Cancer Patients Treated with Immune Checkpoint Inhibitors Based on Clinical and Hematological Markers: Real-World Evidence

Cited by 2 publications

References 0 publications

Association between SII and hepatic steatosis and liver fibrosis: A population-based study

Association between SII and hepatic steatosis and liver fibrosis: A population-based study

Association of systemic immune-inflammation index with insulin resistance and prediabetes: a cross-sectional study

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