Open AccessThe Predictive Role of Systemic Inflammation Response Index (SIRI) in the Prognosis of Stroke Patients
Author(s) -
Yihui Zhang,
Zekun Xing,
Kecheng Zhou,
Songhe Jiang
Publication year - 2021
Publication title -
clinical interventions in aging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.184
H-Index - 76
eISSN - 1178-1998
pISSN - 1176-9092
DOI - 10.2147/cia.s339221
Subject(s) - medicine , stroke (engine) , receiver operating characteristic , systemic inflammation , sepsis , retrospective cohort study , case fatality rate , proportional hazards model , pearson product moment correlation coefficient , inflammation , epidemiology , mechanical engineering , statistics , mathematics , engineering
Stroke is a disease associated with high mortality. Many inflammatory indicators such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR) and red blood cell distribution width (RDW) have been documented to predict stroke prognosis, their predictive power is limited. A novel inflammatory indicator called systemic inflammatory response index (SIRI) has been advocated to have an essential role in the prognostic assessment of cancer and infectious diseases. In this study, we attempted to assess the prognosis of stroke by SIRI. Moreover, we compared SIRI with other clinical parameters, including NLR, PLR, LMR and RDW.