(A) ROC curve for the prediction of the ASCVD risk using internal data set. (B) External validation for the prediction of the ASCVD risk using a subgroup of KNHANES IV-V. (C, D) ROC curve for predicting the presence of MI, angina, and stroke using the full data of KNHANES IV-V. Post-hoc analyses were conducted using the DeLong method. The cutoff value of the ASCVD 10-year risk score: ≥7.5%. ROC, receiver operating characteristic; ASCVD, atherosclerotic cardiovascular disease; NVAI, new visceral adiposity index; VAI, visceral adiposity index; WC, waist circumference; BMI, body mass index; TG, triglyceride; HDL, high-density lipoprotein; AUC, area under the curve; CI, confidence interval; KNHANES, Korean National Health and Nutrition Examinat...
AimsCardiovascular diseases (CVDs) are the most common cause of death, but they can be effectively m...
Identification of key factors associated with the risk of developing cardiovascular disease and quan...
<p>ROC curve comparing two WC categories for predicting hypertension, diabetes mellitus and hypercho...
<p>The ROC curve for predicting TPS score >5 in fig 3 (left), the AUC for TPS score >5 was 0.73 (95%...
ROC curve analysis of global longitudinal strain and ALPM free strain for prediction of high SCD ris...
<p>Comparison of ROC curves for prediction of CV events between BNP, CHADS2 and CHADS2-VASc in subje...
<p>ROC curves for cardiovascular morbidity and mortality of three models: traditional risk markers (...
<p>ROC curves and AUCs for the clinical (solid blue), ECG (dashed red), and combined (dotted black) ...
AimsCardiovascular diseases (CVDs) are the most common cause of death, but they can be effectively m...
Receiver operating curves for prediction of age and volume as diagnostic suitable variables for vasc...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
<p>The area under the curve (AUC) of the three risk scores tended to underestimate SMI risk when com...
<p>For GRACE score alone, the area under the curve (AUC) was 0.749 (95% CI: 0.707–0.787). When RDW w...
<p>ROC curve analyses for detecting subjects with early atherosclerosis according to HOMA, Matsuda, ...
<p>ROC curves for detecting CVD by using baPWV in end stage renal disease patients. The AUC is a mea...
AimsCardiovascular diseases (CVDs) are the most common cause of death, but they can be effectively m...
Identification of key factors associated with the risk of developing cardiovascular disease and quan...
<p>ROC curve comparing two WC categories for predicting hypertension, diabetes mellitus and hypercho...
<p>The ROC curve for predicting TPS score >5 in fig 3 (left), the AUC for TPS score >5 was 0.73 (95%...
ROC curve analysis of global longitudinal strain and ALPM free strain for prediction of high SCD ris...
<p>Comparison of ROC curves for prediction of CV events between BNP, CHADS2 and CHADS2-VASc in subje...
<p>ROC curves for cardiovascular morbidity and mortality of three models: traditional risk markers (...
<p>ROC curves and AUCs for the clinical (solid blue), ECG (dashed red), and combined (dotted black) ...
AimsCardiovascular diseases (CVDs) are the most common cause of death, but they can be effectively m...
Receiver operating curves for prediction of age and volume as diagnostic suitable variables for vasc...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
<p>The area under the curve (AUC) of the three risk scores tended to underestimate SMI risk when com...
<p>For GRACE score alone, the area under the curve (AUC) was 0.749 (95% CI: 0.707–0.787). When RDW w...
<p>ROC curve analyses for detecting subjects with early atherosclerosis according to HOMA, Matsuda, ...
<p>ROC curves for detecting CVD by using baPWV in end stage renal disease patients. The AUC is a mea...
AimsCardiovascular diseases (CVDs) are the most common cause of death, but they can be effectively m...
Identification of key factors associated with the risk of developing cardiovascular disease and quan...
<p>ROC curve comparing two WC categories for predicting hypertension, diabetes mellitus and hypercho...