Combined Role of Inflammatory Biomarkers and Red Blood Cell Distribution Width in Predicting In-hospital Outcomes of Acute Ischemic Stroke Patients undergoing Thrombolysis.

Abstract

To investigate the combined effect of red blood cell distribution width (RDW) and inflammatory biomarkers on in-hospital outcomes of acute ischemic stroke(AIS) patients with thrombolysis. 417 AIS patients with thrombolysis were included. The participants were divided into four groups according to the cut-off of white blood cell (WBC) or C reactive protein (CRP) and RDW: LWLR, LWHR, HWLR, and HWHR; or LCLR, LCHR, HCLR, and HCHR (L-low, H-high, W-WBC, C-CRP, R-RDW). Logistic regression models were used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) of in-hospital pneumonia and functional outcome across the four subgroups. Patients with higher RDW and inflammatory biomarkers levels have the highest risk of in-hospital outcomes. Compared with patients in the LWLR group, the ORs (95% CIs) of those in the HWHR group were 12.16 (4.21-35.14) and 9.31 (3.19-27.17) for in-hospital pneumonia and functional outcome. The ORs (95% CIs) of those in the HCHR group were 6.93 (2.70-17.78) and 3.38(1.10-10.39) for in-hospital pneumonia and functional outcome, compared with patients in the LCLR group. Simultaneously adding RDW and WBC or CRP to the basic model with established risk factors significantly improved risk discrimination and reclassification for pneumonia and functional outcome (all P<0.05). Combined RDW and inflammatory biomarkers within 4.5 hours had a better predictive power for in-hospital outcomes of AIS patients with thrombolysis.