1Department of Internal Medicine, The Catholic University of Korea College of Medicine, Seoul, Korea.
2Department of Internal Medicine, Hallym University College of Medicine, Seoul, Korea.
3Department of Internal Medicine, Eulji University School of Medicine, Seoul, Korea.
Copyright © 2011 Korean Diabetes Association
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Continuous parameters are presented as mean±standard deviation.
PWV, pulse wave velocity; DM, diabetes mellitus; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; HbA1c, haemoglobin A1c; HDL-C, high density lipoprotein cholesterol; HOMA IR, homeostasis model assessment of insulin resistance; LDL-C, low density lipoprotein cholesterol.
Continuous parameters are presented as mean±standard deviation.
BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; HbA1c, haemoglobin A1c; HDL-C, high density lipoprotein cholesterol; HOMA IR, homeostasis model assessment of insulin resistance; LDL-C, low density lipoprotein cholesterol.
PWV, pulse wave velocity; HR, hazard ratio; DM, diabetes mellitus; BMI, body mass index; HbA1c, haemoglobin A1c; HOMA-IR, homeostasis model assessment of insulin resistance; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol; SBP, systolic blood pressure; DBP, diastolic blood pressure; MAP, mean arterial pressure.
aMultivariate analysis was performed using binary logistic regression model with 'Forward: LR' method, bThe HR is predictive risk for 'no decrease of PWV value' in the case of an increase in the HbA1c level, and the accuracy rate of classification is 78.3% (95% CI, 1.447 to 4.810).
Continuous parameters are presented as mean±standard deviation. PWV, pulse wave velocity; DM, diabetes mellitus; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; HbA1c, haemoglobin A1c; HDL-C, high density lipoprotein cholesterol; HOMA IR, homeostasis model assessment of insulin resistance; LDL-C, low density lipoprotein cholesterol.
Continuous parameters are presented as mean±standard deviation. PWV, pulse wave velocity.
Continuous parameters are presented as mean±standard deviation. BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; HbA1c, haemoglobin A1c; HDL-C, high density lipoprotein cholesterol; HOMA IR, homeostasis model assessment of insulin resistance; LDL-C, low density lipoprotein cholesterol.
PWV, pulse wave velocity; HR, hazard ratio; DM, diabetes mellitus; BMI, body mass index; HbA1c, haemoglobin A1c; HOMA-IR, homeostasis model assessment of insulin resistance; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol; SBP, systolic blood pressure; DBP, diastolic blood pressure; MAP, mean arterial pressure. aMultivariate analysis was performed using binary logistic regression model with 'Forward: LR' method, bThe HR is predictive risk for 'no decrease of PWV value' in the case of an increase in the HbA1c level, and the accuracy rate of classification is 78.3% (95% CI, 1.447 to 4.810).