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Date of download: 5/31/2016 Copyright © The American College of Cardiology. All rights reserved. From: Impact of Noninsulin-Dependent Type 2 Diabetes on.

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Presentation on theme: "Date of download: 5/31/2016 Copyright © The American College of Cardiology. All rights reserved. From: Impact of Noninsulin-Dependent Type 2 Diabetes on."— Presentation transcript:

1 Date of download: 5/31/2016 Copyright © The American College of Cardiology. All rights reserved. From: Impact of Noninsulin-Dependent Type 2 Diabetes on Carotid Wall 18F-Fluorodeoxyglucose Positron Emission Tomography Uptake J Am Coll Cardiol. 2012;59(23):2080-2088. doi:10.1016/j.jacc.2011.11.069 Clinical Risk Factors of Carotid Vessel Wall Inflammation Differences in mean glucose-corrected standardized uptake value ( mean SUV gluc ) in patients with diabetes and patients without diabetes and with and without body mass index (BMI) values ≥30 kg/m 2 are shown. Both variables were identified as significantly (p < 0.05) independent predictors for carotid wall inflammation as depicted by mean SUV gluc values. Data are presented as median (bold line), 25th to 75th percentile (box), and 5th to 95th percentile (whiskers). The circle represents outliers. The p value for each of the given independent predictors for carotid wall inflammation as depicted by mean SUV gluc values is adjusted for the other significant variable given in Table 3 (diabetes, body mass index ≥30 kg/m 2, and alcohol). Alcohol failed to show a statistically significant association (p < 0.05) with the mean SUV gluc values in the ENTER regression model and therefore is not shown as an independent predictor in this figure. Figure Legend:

2 Date of download: 5/31/2016 Copyright © The American College of Cardiology. All rights reserved. From: Impact of Noninsulin-Dependent Type 2 Diabetes on Carotid Wall 18F-Fluorodeoxyglucose Positron Emission Tomography Uptake J Am Coll Cardiol. 2012;59(23):2080-2088. doi:10.1016/j.jacc.2011.11.069 Clinical Risk Factors of Carotid Vessel Wall Inflammation Differences in the mean target-to-background ratio ( mean TBR gluc ) values in patients with diabetes and patients without diabetes, body mass index (BMI) ≥30 kg/m 2, and alcohol are illustrated. All variables were identified as significantly (p < 0.05) independent predictors for carotid wall inflammation as depicted by the mean TBR gluc. Family history is independently associated with a decreased risk of carotid wall inflammation as revealed by significantly lower mean TBR gluc values in patients with a family history of cardiovascular disease. Data are presented as median (bold line), 25th to 75th percentile (box), and 5th to 95th percentile (whiskers). Circles represent outliers. The p value for each of the given independent predictors for carotid wall inflammation as depicted by mean TBR gluc values is adjusted for the other significant variables given in Table 3 (diabetes, BMI ≥30 kg/m 2, alcohol, and family history of cardiovascular disease). Figure Legend:

3 Date of download: 5/31/2016 Copyright © The American College of Cardiology. All rights reserved. From: Impact of Noninsulin-Dependent Type 2 Diabetes on Carotid Wall 18F-Fluorodeoxyglucose Positron Emission Tomography Uptake J Am Coll Cardiol. 2012;59(23):2080-2088. doi:10.1016/j.jacc.2011.11.069 Clinical Risk Factors of Carotid Vessel Wall Inflammation Differences in single hottest segment (SHS gluc ) values in patients with diabetes and patients without diabetes, body mass index (BMI) ≥30 kg/m 2, and alcohol are shown. All variables were identified as significantly (p < 0.05) independent predictors for carotid wall inflammation as depicted by the SHS gluc value. Family history is independently associated with a decreased risk of carotid wall inflammation as revealed by significantly lower SHS gluc values in patients with a family history of cardiovascular disease. Data are presented as median (bold line), 25th to 75th percentile (box), and 5th to 95th percentile (whiskers). The circle represents outliers. The p value for each of the given independent predictors for carotid wall inflammation as depicted by SHS gluc values is adjusted for the other significant variables given in Table 3 (diabetes, BMI ≥30 kg/m 2, alcohol, and family history of cardiovascular disease). Figure Legend:


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