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1.
Curr Atheroscler Rep ; 18(11): 64, 2016 11.
Article in English | MEDLINE | ID: mdl-27696319

ABSTRACT

PURPOSE OF REVIEW: It is well known that there is a very high risk of cardiovascular complications among diabetic patients. In spite of all efforts at aggressive control of diabetes and its complications, the incidence of cardiovascular morbidity and mortality remains high, including in patients with no prior symptoms, underscoring a possible advantage for appropriate screening of asymptomatic patients for the presence of obstructive coronary artery disease (CAD). In this article, we sought primarily to review the results of studies designed to evaluate a possible role of coronary computed tomography angiography (CCTA) in the screening of asymptomatic diabetic patients for possible obstructive CAD. RECENT FINDINGS: Our review of current literature indicates that there is still no method of CAD screening identified that has been shown to reduce the cardiovascular risk of asymptomatic diabetic patients. Therefore, the utility and value of screening for CAD in asymptomatic diabetic patients remains controversial. CCTA screening has shown promise and has been demonstrated to predict future risk, but as yet has not demonstrated improvement in the outcomes of these high-risk patients. At our present state of knowledge, aggressive risk factor reduction appears to be the most important primary prevention strategy for all asymptomatic high-risk diabetic patients. However, there remains a great need for better and more sensitive and specific screening methods, as well as more effective treatments that may allow us to more accurately target diabetic patients who really are at high risk. Further large randomized and well-controlled clinical trials may be necessary to determine whether screening for CAD can reduce cardiovascular event rates in patients with diabetes.


Subject(s)
Computed Tomography Angiography , Coronary Angiography , Coronary Artery Disease/diagnostic imaging , Diabetes Complications , Diabetes Mellitus , Coronary Artery Disease/complications , Coronary Artery Disease/therapy , Humans , Mass Screening
2.
J Electrocardiol ; 48(2): 249-59, 2015.
Article in English | MEDLINE | ID: mdl-25601407

ABSTRACT

BACKGROUND: 12-lead ECG is a critical component of initial evaluation of cardiac ischemia, but has traditionally been limited to large, dedicated equipment in medical care environments. Smartphones provide a potential alternative platform for the extension of ECG to new care settings and to improve timeliness of care. OBJECTIVE: To gain experience with smartphone electrocardiography prior to designing a larger multicenter study evaluating standard 12-lead ECG compared to smartphone ECG. METHODS: 6 patients for whom the hospital STEMI protocol was activated were evaluated with traditional 12-lead ECG followed immediately by a smartphone ECG using right (VnR) and left (VnL) limb leads for precordial grounding. The AliveCor™ Heart Monitor was utilized for this study. All tracings were taken prior to catheterization or immediately after revascularization while still in the catheterization laboratory. RESULTS: The smartphone ECG had excellent correlation with the gold standard 12-lead ECG in all patients. Four out of six tracings were judged to meet STEMI criteria on both modalities as determined by three experienced cardiologists, and in the remaining two, consensus indicated a non-STEMI ECG diagnosis. No significant difference was noted between VnR and VnL. CONCLUSIONS: Smartphone based electrocardiography is a promising, developing technology intended to increase availability and speed of electrocardiographic evaluation. This study confirmed the potential of a smartphone ECG for evaluation of acute ischemia and the feasibility of studying this technology further to define the diagnostic accuracy, limitations and appropriate use of this new technology.


Subject(s)
Cell Phone , Electrocardiography/instrumentation , Myocardial Infarction/diagnosis , Aged , Aged, 80 and over , Humans , Male , Middle Aged , Pilot Projects
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