The systemic inflammation indexes predict all-cause mortality in peritoneal dialysis patients

全身炎症指标可预测腹膜透析患者的全因死亡率

阅读:1

Abstract

BACKGROUND: Chronic inflammation is a common complication in peritoneal dialysis (PD) patients. The aim of this study is to investigate the capacity of aggregate index of systemic inflammation (AISI), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) to predict all-cause mortality in PD patients. METHODS: This was a single-center retrospective study. The optimal cutoff values were identified by receiver operating characteristic (ROC) curve analysis. The area under the curve (AUC) was calculated to evaluate the predictive ability of these indexes. The Kaplan-Meier curves and log-rank test were performed to estimate cumulative survival rate. Cox proportional hazards regression analyses were conducted to determine the independent prognostic power of inflammation indexes. RESULTS: A total of 369 incident PD patients were involved. During a median follow-up period of 32.83 months, 65 patients (24.2%) died. The ROC analysis indicated the largest value of AUC was obtained for SII (AUC = 0.644, 95% CI = 0.573-0.715, p < .001), followed in order by AISI (AUC = 0.617, 95% CI = 0.541-0.693, p = .003), and SIRI (AUC = 0.612, 95% CI = 0.535-0.688, p  = .004). The Kaplan-Meier survival curves revealed significantly lower survival rate with higher AISI (p  = .001), higher SSI (p  = .001), and higher SIRI (p  = .003). Even after adjustment for the confounding factors, higher AISI [hazard ratio (HR)=2.508, 95% confidence intervals (CI)=1.505-4.179, p < .001), SII (HR = 3.477, 95% CI = 1.785-6.775, p < .001), and SIRI (HR = 1.711, 95% CI = 1.012-2.895, p  = .045) remained as independent predictors of all-cause mortality. CONCLUSIONS: The higher AISI, SII, and SIRI were independent indicators of all-cause mortality in PD patients. Furthermore, they could provide comparable predictive value and assist clinicians to ameliorate PD management.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。