Qingwang Hou, Yipin Zhao, Zebin Lin, Tongfeng Chen, Xinlong Di, Xiaohu Wang, Jiangtao Cheng, Xiaoyan Guo, Chong Chen, Dan Hu, Chang Liu, Yapeng Jiang, Yancun Liu, Ying Li, Mai Su, Yuhao Liu
{"title":"梗死后室间隔破裂患者闭塞后全身免疫炎症指数（Sll）与预后的相关性","authors":"Qingwang Hou, Yipin Zhao, Zebin Lin, Tongfeng Chen, Xinlong Di, Xiaohu Wang, Jiangtao Cheng, Xiaoyan Guo, Chong Chen, Dan Hu, Chang Liu, Yapeng Jiang, Yancun Liu, Ying Li, Mai Su, Yuhao Liu","doi":"10.2147/JIR.S518540","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The Systemic Immune-Inflammation Index (SII) is a key indicator for assessing inflammatory status. This study aims to determine the association between SII and prognosis following occlusion in patients with post-infarction ventricular septal rupture (PIVSR).</p><p><strong>Methods: </strong>A total of 130 patients admitted to Fuwai Central China Cardiovascular Hospital between 2018 and 2023 were included in this retrospective study. Based on the tertiles of the Systemic Inflammatory Index (SII), the patients were categorized into two groups: 65 patients in the low SII group and 65 in the high SII group. Variable screening was performed using the Least Absolute Shrinkage and Selection Operator (LASSO) analysis. We conducted multivariable logistic regression analyses to rigorously assess the independent association between SII and short-term outcomes in PIVSR patients. After variable selection, a nomogram was constructed using R, and Restricted Cubic Splines (RCS) were employed to flexibly model nonlinear relationships. Subsequently, the predictive abilities of the screened variables and SII for the outcome were independently evaluated using Receiver Operating Characteristic (ROC) curve analysis.</p><p><strong>Results: </strong>A nomogram model incorporating ALT, UREA, NT-proBNP, and SII was developed to predict the short-term prognosis of PIVSR patients following occlusion surgery. ROC curve analysis demonstrated that the area under the curve (AUC) for SII level was 0.702 (95% CI: 0.599-0.804, <i>P</i> < 0.001). Incorporating the Systemic Immune-Inflammation Index (SII) significantly improved prognostic accuracy, with Model 2 demonstrating superior discriminatory power (AUC 0.845 vs 0.828) over Model 1.</p><p><strong>Conclusion: </strong>The Systemic Immune-Inflammation (SII) is a convenient and effective prognostic indicator, and the model incorporating SII can facilitate personalized prognostic assessment for patients with post-infarction ventricular septal rupture (PIVSR).</p>","PeriodicalId":16107,"journal":{"name":"Journal of Inflammation Research","volume":"18 ","pages":"6641-6652"},"PeriodicalIF":4.2000,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12118154/pdf/","citationCount":"0","resultStr":"{\"title\":\"Correlation Between Systemic Immune Inflammation Index(Sll) and Outcome After Occlusion in Patients with Post-Infarction Ventricular Septal Rupture.\",\"authors\":\"Qingwang Hou, Yipin Zhao, Zebin Lin, Tongfeng Chen, Xinlong Di, Xiaohu Wang, Jiangtao Cheng, Xiaoyan Guo, Chong Chen, Dan Hu, Chang Liu, Yapeng Jiang, Yancun Liu, Ying Li, Mai Su, Yuhao Liu\",\"doi\":\"10.2147/JIR.S518540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The Systemic Immune-Inflammation Index (SII) is a key indicator for assessing inflammatory status. This study aims to determine the association between SII and prognosis following occlusion in patients with post-infarction ventricular septal rupture (PIVSR).</p><p><strong>Methods: </strong>A total of 130 patients admitted to Fuwai Central China Cardiovascular Hospital between 2018 and 2023 were included in this retrospective study. Based on the tertiles of the Systemic Inflammatory Index (SII), the patients were categorized into two groups: 65 patients in the low SII group and 65 in the high SII group. Variable screening was performed using the Least Absolute Shrinkage and Selection Operator (LASSO) analysis. We conducted multivariable logistic regression analyses to rigorously assess the independent association between SII and short-term outcomes in PIVSR patients. After variable selection, a nomogram was constructed using R, and Restricted Cubic Splines (RCS) were employed to flexibly model nonlinear relationships. Subsequently, the predictive abilities of the screened variables and SII for the outcome were independently evaluated using Receiver Operating Characteristic (ROC) curve analysis.</p><p><strong>Results: </strong>A nomogram model incorporating ALT, UREA, NT-proBNP, and SII was developed to predict the short-term prognosis of PIVSR patients following occlusion surgery. ROC curve analysis demonstrated that the area under the curve (AUC) for SII level was 0.702 (95% CI: 0.599-0.804, <i>P</i> < 0.001). Incorporating the Systemic Immune-Inflammation Index (SII) significantly improved prognostic accuracy, with Model 2 demonstrating superior discriminatory power (AUC 0.845 vs 0.828) over Model 1.</p><p><strong>Conclusion: </strong>The Systemic Immune-Inflammation (SII) is a convenient and effective prognostic indicator, and the model incorporating SII can facilitate personalized prognostic assessment for patients with post-infarction ventricular septal rupture (PIVSR).</p>\",\"PeriodicalId\":16107,\"journal\":{\"name\":\"Journal of Inflammation Research\",\"volume\":\"18 \",\"pages\":\"6641-6652\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12118154/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Inflammation Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/JIR.S518540\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Inflammation Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/JIR.S518540","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Correlation Between Systemic Immune Inflammation Index(Sll) and Outcome After Occlusion in Patients with Post-Infarction Ventricular Septal Rupture.
Background: The Systemic Immune-Inflammation Index (SII) is a key indicator for assessing inflammatory status. This study aims to determine the association between SII and prognosis following occlusion in patients with post-infarction ventricular septal rupture (PIVSR).
Methods: A total of 130 patients admitted to Fuwai Central China Cardiovascular Hospital between 2018 and 2023 were included in this retrospective study. Based on the tertiles of the Systemic Inflammatory Index (SII), the patients were categorized into two groups: 65 patients in the low SII group and 65 in the high SII group. Variable screening was performed using the Least Absolute Shrinkage and Selection Operator (LASSO) analysis. We conducted multivariable logistic regression analyses to rigorously assess the independent association between SII and short-term outcomes in PIVSR patients. After variable selection, a nomogram was constructed using R, and Restricted Cubic Splines (RCS) were employed to flexibly model nonlinear relationships. Subsequently, the predictive abilities of the screened variables and SII for the outcome were independently evaluated using Receiver Operating Characteristic (ROC) curve analysis.
Results: A nomogram model incorporating ALT, UREA, NT-proBNP, and SII was developed to predict the short-term prognosis of PIVSR patients following occlusion surgery. ROC curve analysis demonstrated that the area under the curve (AUC) for SII level was 0.702 (95% CI: 0.599-0.804, P < 0.001). Incorporating the Systemic Immune-Inflammation Index (SII) significantly improved prognostic accuracy, with Model 2 demonstrating superior discriminatory power (AUC 0.845 vs 0.828) over Model 1.
Conclusion: The Systemic Immune-Inflammation (SII) is a convenient and effective prognostic indicator, and the model incorporating SII can facilitate personalized prognostic assessment for patients with post-infarction ventricular septal rupture (PIVSR).
期刊介绍：
An international, peer-reviewed, open access, online journal that welcomes laboratory and clinical findings on the molecular basis, cell biology and pharmacology of inflammation.
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