Comorbidities associated with different levels of total cholesterol in male and female acute ischemic stroke patients

Figures

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  Figure 1. Forest plot representation of clinical factors that were associated with AIS population with normal total cholesterol (<200 mg/dl). Adjusted OR < 1 denote factors that are associated with being men while OR>1 denote factors that are associated with being women. Hosmer-Lemeshow test (P = .257), Cox & Snell (R2 = 0.179). The overall classified percentage of 68.5% was applied to check for fitness of the logistic regression model. ∗Indicates statistical significance (P < .05) with a 95% confidence interval.

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  Figure 2. ROC curve for the predictive power of the regression model for AIS population with normal total cholesterol (<200 mg/dl). Higher area under the curve (AUC) values in ROC analysis indicate better discrimination of the score for the measured outcome. Classification table (overall correctly classified percentage = 68.5%) and area under the ROC curve (AUC = 0.746, 0.730–0.763) were applied to check model fitness.

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  Figure 3. Forest Plot representation of clinical factors that were associated with AIS population with borderline total cholesterol (200–239 mg/dl). Adjusted OR < 1 denote factors that are associated with being men while OR > 1 denote factors that are associated with being women. Hosmer-Lemeshow test (P = .581), Cox & Snell (R2 = 0.224). The overall classified percentage of 71.5% was applied to check for fitness of the logistic regression model. ∗Indicates statistical significance (P < .05) with a 95% confidence interval.

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  Figure 4. ROC curve for the predictive power of the regression model for AIS population with borderline total cholesterol (200–239 mg/dl). Higher area under the curve (AUC) values in ROC analysis indicate better discrimination of the score for the measured outcome. Classification table (overall correctly classified percentage = 71.5%) and area under the ROC curve (AUC = 0.780, 0.745–0.814) were applied to check model fitness.

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  Figure 5. Forest plot representation of clinical factors that were associated with AIS population with high total cholesterol (≥240 mg/dl). Adjusted OR < 1 denote factors that are associated with being men while OR > 1 denote factors that are associated with being women. Hosmer-Lemeshow test (P = .942), Cox & Snell (R2 = .208). The overall classified percentage of 73.3% was applied to check for fitness of the logistic regression model. ∗Indicates statistical significance (P < .05) with a 95% confidence interval.

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  Figure 6. ROC curve for the predictive power of the regression model for AIS population with high total cholesterol (≥240 mg/dl). Higher area under the curve (AUC) values in ROC analysis indicate better discrimination of the score for the measured outcome. Classification table (overall correctly classified percentage = 73.3%) and area under the ROC curve (AUC = 0.785, 0.733–0.836) were applied to check model fitness.