The Predictive Role of Systemic Inflammation Response Index (SIRI) in the Prognosis of Stroke Patients

• Published in: Clinical interventions in aging Vol. 16; pp. 1997 - 2007
• Main Authors: Zhang, Yihui, Xing, Zekun, Zhou, Kecheng, Jiang, Songhe
• Format: Journal Article
• Language: English
• Published: New Zealand Dove Medical Press Limited 01.01.2021; Taylor & Francis Ltd; Dove; Dove Medical Press
• Subjects: Age; Blood cell count; Blood platelets; Blood pressure; Cardiac arrhythmia; Cardiovascular disease; Chronic obstructive pulmonary disease; Clinical outcomes; Coronary vessels; Creatinine; Ethnicity; Glucose; Health aspects; Heart rate; Hemoglobin; Hospitals; Humans; Immune response; Inflammation; Intensive care; Laboratories; Liver diseases; Lymphocytes; Medical prognosis; Mortality; Neutrophils; nihss; Older people; Original Research; Pneumonia; Prognosis; Retrospective Studies; Sepsis; Stroke; Stroke (Disease); systemic inflammation response index; Vein & artery diseases; China; United States > US; NIHSS; mortality; systemic inflammation response index; stroke
• DOI: 10.2147/CIA.S339221
• ISSN: 1178-1998; 1176-9092

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. This was a retrospective cohort study. We obtained data of 2450 stroke patients from the Multiparametric Intelligent Monitoring in Intensive Care III database. We used the Cox proportional hazards models to evaluate the relationship between SIRI and all-cause mortality and sepsis. Receiver operating curve (ROC) analysis was used to assess the predictive power of SIRI compared to NLR, PLR, LMR and RDW for the prognosis of stroke. We collected data of 180 patients from the First Affiliated Hospital of Wenzhou Medical University, which used the Pearson's correlation coefficient to assess the relationship between SIRI and the National Institute of Health stroke scale (NIHSS). After adjusting multiple covariates, we found that SIRI was associated with all-cause mortality in stroke patients. Rising SIRI accompanied by rising mortality. Besides, ROC analysis showed that the area under the curve of SIRI was significantly greater than for NLR, PLR, LMR and RDW. Besides, Pearson's correlation test confirmed a significant positive correlation between SIRI and NIHSS. Elevated SIRI was associated with higher risk of mortality and sepsis and higher stroke severity. Therefore, SIRI is a promising low-grade inflammatory factor for predicting stroke prognosis that outperformed NLR, PLR, LMR, and RDW in predictive power.