High Brachial Ankle Pulse Wave Velocity as a Marker for Predicting Coronary Artery Stenosis in Patients with Type 2 Diabetes
Autor: | Chang Won Lee, June Hyung Kim, Jae-Sik Jang, Bo Hyun Kim, In Joo Kim, Yong Seop Kwon |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
medicine.medical_specialty
Endocrinology Diabetes and Metabolism Type 2 diabetes Coronary stenosis 030204 cardiovascular system & hematology Vascular stiffness lcsh:Diseases of the endocrine glands. Clinical endocrinology Pulse wave analysis 03 medical and health sciences 0302 clinical medicine Endocrinology Diabetes mellitus Internal medicine Ankle pulse medicine 030212 general & internal medicine lcsh:RC648-665 Framingham Risk Score medicine.diagnostic_test business.industry Area under the curve medicine.disease Confidence interval Angiography Cardiology Original Article business |
Zdroj: | Endocrinology and Metabolism Endocrinology and Metabolism, Vol 33, Iss 1, Pp 88-96 (2018) |
ISSN: | 2093-5978 2093-596X |
Popis: | BACKGROUND We evaluated the ability of brachial ankle pulse wave velocity (baPWV) to predict coronary artery stenosis (CAS) in patients with type 2 diabetes, and compared the predictive power of baPWV to that of well-known cardiovascular disease (CVD) risk calculators. METHODS The study group included 83 consecutive patients over 30 years old with type 2 diabetes who complained of vague chest discomfort. An automatic pulse waveform analyzer was used to measure baPWV. CAS was measured using multi-slice computed tomographic (MSCT) angiography. RESULTS Age, maximal baPWV, duration of diabetes, current smoking, the UK Prospective Diabetes Study (UKPDS) Risk Engine score, American College of Cardiology/American Heart Association (ACC/AHA) risk estimator score, the Framingham risk calculator score, and coronary artery calcium score were greater in patients with CAS than in those without CAS. An area under the curve (AUC) indicative of a predictive value for CAS (≥20%) was found for several parameters. The AUC of maximal baPWV, the UKPDS Risk Engine, the ACC/AHA ASCVD risk estimator, and the Framingham risk calculator were 0.672 (95% confidence interval [CI], 0.554 to 0.785; P=0.010), 0.777 (95% CI, 0.675 to 0.878; P |
Databáze: | OpenAIRE |
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