{"title":"Prognostic implications of systemic immune-inflammation index and systemic inflammation response index in hemodialysis patients.","authors":"Qianqian Zhu, Liang Dai","doi":"10.1186/s12882-025-04223-y","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Patients undergoing hemodialysis (HD) face high mortality, mainly from cardiovascular disease (CVD), infections, and dialysis withdrawal. Systemic inflammation contributes significantly to these outcomes. This study aimed to examine the associations between the systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) with all-cause, CVD, and infection-related mortality in HD patients, and to evaluate their prognostic value.</p><p><strong>Methods: </strong>We conducted a retrospective analysis of 1190 HD patients recruited between January 2012 and December 2016. Kaplan-Meier survival curves, Cox regression analysis, and restricted cubic spline (RCS) models were employed to explore the associations between SII, SIRI, and all-cause, CVD, and infection-related mortality. In addition, receiver operating characteristic (ROC) curves was used to determine the predictive accuracy of SII and SIRI.</p><p><strong>Results: </strong>Among the 1190 patients (median age 62.0 years; 64.0% male), the all-cause mortality rate was 38.2%, while the CVD mortality rate was 16.9%. Adjusted Cox regression analyses revealed that patients in the highest SIRI quartile (quartile 4) had significantly elevated risks of all-cause (hazard ratio [HR] 2.29, 95% CI 1.38-3.80, P = 0.001), CVD (HR 3.78, 95% CI 1.43-10.01, P = 0.007), and infection-related mortality (HR 2.42, 95% CI 1.70-3.01, P < 0.001) compared to those in the lowest SIRI quartile. Similar associations were found for SII (P < 0.001). Kaplan-Meier curves demonstrated comparable results. RCS analysis revealed nonlinear relationships between SII, SIRI, and mortality risk (P < 0.05). ROC analysis highlighted that Both SII and SIRI demonstrated moderate to strong prognostic value, with SIRI consistently offering the best risk stratification.</p><p><strong>Conclusions: </strong>Elevated levels of SII and SIRI are linked to higher risks of all-cause, CVD, and infection-related mortality in HD patients. SIRI appears to be a more reliable predictor of mortality risk. Future studies should explore the underlying mechanisms and validate the predictive value of SII and SIRI for mortality risk among HD patients.</p><p><strong>Clinical trail number: </strong>Not applicable.</p>","PeriodicalId":9089,"journal":{"name":"BMC Nephrology","volume":"26 1","pages":"322"},"PeriodicalIF":2.2000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Nephrology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12882-025-04223-y","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: Patients undergoing hemodialysis (HD) face high mortality, mainly from cardiovascular disease (CVD), infections, and dialysis withdrawal. Systemic inflammation contributes significantly to these outcomes. This study aimed to examine the associations between the systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) with all-cause, CVD, and infection-related mortality in HD patients, and to evaluate their prognostic value.
Methods: We conducted a retrospective analysis of 1190 HD patients recruited between January 2012 and December 2016. Kaplan-Meier survival curves, Cox regression analysis, and restricted cubic spline (RCS) models were employed to explore the associations between SII, SIRI, and all-cause, CVD, and infection-related mortality. In addition, receiver operating characteristic (ROC) curves was used to determine the predictive accuracy of SII and SIRI.
Results: Among the 1190 patients (median age 62.0 years; 64.0% male), the all-cause mortality rate was 38.2%, while the CVD mortality rate was 16.9%. Adjusted Cox regression analyses revealed that patients in the highest SIRI quartile (quartile 4) had significantly elevated risks of all-cause (hazard ratio [HR] 2.29, 95% CI 1.38-3.80, P = 0.001), CVD (HR 3.78, 95% CI 1.43-10.01, P = 0.007), and infection-related mortality (HR 2.42, 95% CI 1.70-3.01, P < 0.001) compared to those in the lowest SIRI quartile. Similar associations were found for SII (P < 0.001). Kaplan-Meier curves demonstrated comparable results. RCS analysis revealed nonlinear relationships between SII, SIRI, and mortality risk (P < 0.05). ROC analysis highlighted that Both SII and SIRI demonstrated moderate to strong prognostic value, with SIRI consistently offering the best risk stratification.
Conclusions: Elevated levels of SII and SIRI are linked to higher risks of all-cause, CVD, and infection-related mortality in HD patients. SIRI appears to be a more reliable predictor of mortality risk. Future studies should explore the underlying mechanisms and validate the predictive value of SII and SIRI for mortality risk among HD patients.
目的:接受血液透析(HD)的患者面临高死亡率,主要来自心血管疾病(CVD)、感染和透析退出。全身性炎症对这些结果有显著影响。本研究旨在探讨全身免疫炎症指数(SII)和全身炎症反应指数(SIRI)与HD患者全因、CVD和感染相关死亡率之间的关系,并评估其预后价值。方法:我们对2012年1月至2016年12月招募的1190例HD患者进行回顾性分析。采用Kaplan-Meier生存曲线、Cox回归分析和限制性三次样条(RCS)模型探讨SII、SIRI与全因、CVD和感染相关死亡率之间的关系。此外,采用受试者工作特征(ROC)曲线确定SII和SIRI的预测准确性。结果:1190例患者(中位年龄62.0岁;男性占64.0%),全因死亡率为38.2%,心血管疾病死亡率为16.9%。经校正的Cox回归分析显示,SII和SIRI水平最高的四分位数(四分位数4)患者的全因风险(风险比[HR] 2.29, 95% CI 1.38-3.80, P = 0.001)、CVD(风险比[HR] 3.78, 95% CI 1.43-10.01, P = 0.007)和感染相关死亡率(风险比[HR] 2.42, 95% CI 1.70-3.01, P)显著升高。结论:SII和SIRI水平升高与HD患者的全因、CVD和感染相关死亡率风险升高有关。SIRI似乎是一个更可靠的死亡风险预测器。未来的研究应探索潜在的机制,并验证SII和SIRI对HD患者死亡风险的预测价值。临床试验号:不适用。
期刊介绍:
BMC Nephrology is an open access journal publishing original peer-reviewed research articles in all aspects of the prevention, diagnosis and management of kidney and associated disorders, as well as related molecular genetics, pathophysiology, and epidemiology.