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Original Research

Eosinophil-to-Monocyte Ratio is a Potential Predictor of Prognosis in Acute Ischemic Stroke Patients After Intravenous Thrombolysis

, , , , , , , , , , , & ORCID Icon show all
Pages 853-862 | Published online: 17 May 2021

Figures & data

Figure 1 Flow diagram showing the patient selection process.

Figure 1 Flow diagram showing the patient selection process.

Table 1 Demographic and Laboratory Characteristics of AIS Patients and Healthy Controls

Table 2 Characteristics of AIS Patients According to EMR Tertiles

Table 3 Comparison of Clinical Characteristics Between Good and Poor Outcome (or Alive and Dead)

Figure 2 (A) Distribution of NIHSS on admission in the tertiles of increasing EMR levels. (B) Distribution of 3-month mRS scores in the tertiles of increasing EMR levels.

Figure 2 (A) Distribution of NIHSS on admission in the tertiles of increasing EMR levels. (B) Distribution of 3-month mRS scores in the tertiles of increasing EMR levels.

Table 4 Univariate Logistic Regression Analyses for Prognosis

Table 5 Adjusted Models for Prognosis at 3 Months

Table 6 Diagnostic Values of the EMR, NLR, PLR and NLR + EMR for Stroke Outcome

Figure 3 (A) Receiver operating characteristic curve (ROC) of EMR, NLR, PLR and NLR + EMR on the prognosis of AIS patients between poor outcome and good outcome. (B) Receiver operating characteristic curve (ROC) of EMR, NLR, PLR and NLR + EMR on the prognosis of AIS patients between death and survive.

Figure 3 (A) Receiver operating characteristic curve (ROC) of EMR, NLR, PLR and NLR + EMR on the prognosis of AIS patients between poor outcome and good outcome. (B) Receiver operating characteristic curve (ROC) of EMR, NLR, PLR and NLR + EMR on the prognosis of AIS patients between death and survive.