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Neurology

Red cell distribution width: a novel predictive biomarker for stroke risk after transient ischaemic attack

, , , , , , , , & show all
Pages 1167-1177 | Received 05 Nov 2021, Accepted 24 Mar 2022, Published online: 26 Apr 2022

Figures & data

Figure 1. Flow chart for enrollment of the retrospective cohort study.

Figure 1. Flow chart for enrollment of the retrospective cohort study.

Table 1. The clinical characteristics of the study samples.

Figure 2. (A–F) Correlation analysis about oxidative stress and inflammatory markers.

Figure 2. (A–F) Correlation analysis about oxidative stress and inflammatory markers.

Table 2. Risk factors for stroke using multiple logistic regression.

Figure 3. (A–D) Distribution characteristics of RDW value in TIA and stroke group, age, stroke onset time and stroke aetiology.

Figure 3. (A–D) Distribution characteristics of RDW value in TIA and stroke group, age, stroke onset time and stroke aetiology.

Table 3. Distribution characteristics of RDW value in age, stroke onset time and stroke aetiology.

Figure 4. The ROC curve analysis of admission RDW for predicting the stroke after TIA.

Figure 4. The ROC curve analysis of admission RDW for predicting the stroke after TIA.

Figure 5. The ROC curve analysis of admission RDW for predicting the stroke aetiology.

Figure 5. The ROC curve analysis of admission RDW for predicting the stroke aetiology.
Supplemental material

Supplemental Material

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Data availability statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.