The role of carotid artery stenosis in predicting stroke after coronary artery bypass grafting in a Chinese cohort study

Figures

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  Figure 1. Incidence of carotid artery stenosis. Note The incidence of carotid stenosis was classified by the degree of stenosis and unilateral or bilateral.

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  Figure 2. Incidence of postoperative stroke. Note The incidence of postoperative stroke was divided according to the degree of carotid stenosis and unilateral or bilateral.

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  Figure 3. ROC curves for the nomogram model constructed from age ≥ 65 years, SBP, DBP, CKD, and hemoglobin. Note ROC curves of the nomogram model with age ≥ 65 years, SBP, DBP, CKD, and hemoglobin. ROC, receiver operating characteristic; SBP, systolic blood pressure; DBP, diastolic blood pressure; CKD, chronic kidney disease.

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  Figure 4. Nomogram for predicting severe carotid stenosis. Note The scores of each variable were summed to obtain the total score and a vertical line was drawn on the total score to obtain the corresponding probability of death.

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  Figure 5. Calibration curve for predicting severe carotid stenosis by nomogram. Note Fitted calibration curve for predictive nomograms (Hosmer–Lemeshow P value = 0.9822).

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  Figure 6. DCA curves of the predictive nomogram model constructed from age ≥ 65 years, SBP, DBP, CKD, and hemoglobin. Note The horizontal axis represents the threshold value, which is the reference probability of whether a patient receives treatment, and the vertical axis represents the net benefit rate after subtracting the disadvantage from the advantage. A larger net benefit for the same threshold probability means that the patient receives the greatest benefit using the model's diagnosis. the closer the curve in the DCA plot is to the top, the higher the value of the model's diagnosis. DCA, decision curve analysis; SBP, systolic blood pressure; DBP, diastolic blood pressure; CKD, chronic kidney disease.

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  Figure 7. Kdensity plots of the propensity-matched model for severe carotid stenosis.Note Figure 7 shows the Kdensity before matching.

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  Figure 8. Kdensity plots of the propensity-matched model for severe carotid stenosis. Note Figure 8 shows the Kdensity after matching.

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  Figure 9. Propensity-matched test plots for the severe carotid stenosis model. Note Propensity-matched test plots for the severe carotid stenosis model.