Objective: To assess the prognostic role of multidetector computed tomography coronary angiography (MDCT-CA) in diabetics with suspected coronary artery disease (CAD). Use of MDCT-CA is increasing in patients with suspected CAD. However, data supporting its prognostic value in diabetics are limited. Research Design and Methods: Between January 2006 and September 2007, 429 consecutive diabetic patients were prospectively studied with MDCT-CA for detecting presence and assessing extent of CAD (disease extension and coronary plaque scores). Patients were classified according to the presence of normal coronaries, non-obstructive (<50%) and obstructive (>50%) coronary lesions. The composite rates of hard cardiac events (cardiac death, non-fatal myocardial infarction, unstable angina) and all cardiac events (including revascularization) were the end points of the study. Results: Twenty-four patients were excluded because MDCT-CA data were uninterpretable. Of the remaining 405 patients, clinical follow-up (mean 62±9 months) was obtained in 390 (98%). By multivariate analysis, predictors of hard and all events were obstructive CAD, 3-vessel CAD and left main coronary artery (LMCA) disease. Cumulative event-free survival was 100% for hard and all events in patients with normal coronary arteries, 78% for hard events and 56% for all events in patients with non-obstructive CAD, and 60% for hard events and 16% for all events in patients with obstructive CAD. Three-vessel CAD and LMCA disease was associated with higher rate of hard cardiac events. Conclusions: MDCT-CA provides long-term prognostic information in diabetics with suspected CAD, showing excellent prognosis when there is no evidence of atherosclerosis and allowing risk stratification when CAD is present.
PROGNOSTIC VALUE OF MULTIDETECTOR COMPUTED TOMOGRAPHY CORONARY ANGIOGRAPHY IN DIABETES: EXCELLENT LONG-TERM PROGNOSIS IN PATIENTS WITH NORMAL CORONARY ARTERIES / D. Andreini ; tutor: C. Fiorentini ; coordinatore: M. Cattaneo. UNIVERSITA' DEGLI STUDI DI MILANO, 2013 Mar 25. 25. ciclo, Anno Accademico 2012. [10.13130/andreini-daniele_phd2013-03-25].
PROGNOSTIC VALUE OF MULTIDETECTOR COMPUTED TOMOGRAPHY CORONARY ANGIOGRAPHY IN DIABETES: EXCELLENT LONG-TERM PROGNOSIS IN PATIENTS WITH NORMAL CORONARY ARTERIES
D. Andreini
2013
Abstract
Objective: To assess the prognostic role of multidetector computed tomography coronary angiography (MDCT-CA) in diabetics with suspected coronary artery disease (CAD). Use of MDCT-CA is increasing in patients with suspected CAD. However, data supporting its prognostic value in diabetics are limited. Research Design and Methods: Between January 2006 and September 2007, 429 consecutive diabetic patients were prospectively studied with MDCT-CA for detecting presence and assessing extent of CAD (disease extension and coronary plaque scores). Patients were classified according to the presence of normal coronaries, non-obstructive (<50%) and obstructive (>50%) coronary lesions. The composite rates of hard cardiac events (cardiac death, non-fatal myocardial infarction, unstable angina) and all cardiac events (including revascularization) were the end points of the study. Results: Twenty-four patients were excluded because MDCT-CA data were uninterpretable. Of the remaining 405 patients, clinical follow-up (mean 62±9 months) was obtained in 390 (98%). By multivariate analysis, predictors of hard and all events were obstructive CAD, 3-vessel CAD and left main coronary artery (LMCA) disease. Cumulative event-free survival was 100% for hard and all events in patients with normal coronary arteries, 78% for hard events and 56% for all events in patients with non-obstructive CAD, and 60% for hard events and 16% for all events in patients with obstructive CAD. Three-vessel CAD and LMCA disease was associated with higher rate of hard cardiac events. Conclusions: MDCT-CA provides long-term prognostic information in diabetics with suspected CAD, showing excellent prognosis when there is no evidence of atherosclerosis and allowing risk stratification when CAD is present.File | Dimensione | Formato | |
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