Development and Validation of a Personalized, Sex-Specific Prediction Algorithm of Severe Atheromatosis in Middle-Aged Asymptomatic Individuals: The ILERVAS Study

Figures

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  FIGURE 1. Analysis pipeline. ASCVD, atherosclerotic cardiovascular disease; OR, odds ratio; SD, standard deviation.

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  FIGURE 2. Personalized Algorithm for Severe Atheromatosis Prediction in men. The structure of the classification tree in men is represented. The probability of severe atheromatosis, which corresponds to the proportion of affected patients, is shown inside circles in the final nodes. The barplot offers a clearer visualization of this prevalence with its 95% confidence interval. The colors green, yellow, and red indicate the level of risk (low, intermediate, or high) identified after calibration. The units were as follows: age, year; GFR, ml/min/m2; SBP, mmHg; total cholesterol, mg/dl. GFR, glomerular filtration rate, SBP, systolic blood pressure.

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  FIGURE 3. Personalized Algorithm for Severe Atheromatosis Prediction in women. The probability of severe atheromatosis, which corresponds to the proportion of affected patients, was shown inside circles in the final nodes. The barplot offers a clearer visualization of this prevalence with its 95% confidence interval. The colors green, yellow, and red indicate the level of risk (low, intermediate, or high, respectively) identified after calibration. Hypertension and dyslipidemia refer to patients who had prior clinical diagnostic of hypertension or dyslipidemia in their clinical records. The units were as follows: Age: year; BMI: kg/m2; SBP, mmHg; total cholesterol: mg/dL; uric acid: mg/dl; waist perimeter: cm. BMI, body mass index; SBP, systolic blood pressure.

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  FIGURE 4. Clinical predictor importance in the PASAP-ILERVAS in both sexes. A variable importance score was calculated using the improvement measure attributable to each predictor in its role as splitter, plus the goodness for all splits in which it was a surrogate. The values of importance were scaled up to sum 100%. SBP, systolic blood pressure; BMI, body mass index; GFR, glomerular filtration rate.

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  FIGURE 5. Comparison of the PASAP-ILERVAS with the SCORE risk score. Barplots contain the main performance metrics of PASAP-ILERVAS and SCORE risk model in L&H-risk individuals: (A) specificity; (B) sensitivity; (C) accuracy; (D) positive predictive model; (E) ROC curve in men; (F) ROC curve in women. The ROC curves reflect the area under the curve between sensitivity and complementary of specificity with both models. SCORE, Systematic COronary risk Evaluation; ROC, Receiver Operating Characteristic.