ABSTRACT
Electromagnetic interferences (EMI) deriving from electrical devices may affect implantable cardioverter defibrillators (ICD). Improved algorithms have been developed in order to minimize adverse effects. However, caution should be still recommended in ICD recipients when handling electrical devices. Here we describe the case of an ICD patient with recurrent syncopal episodes due to inhibition of pacing by oversensing of electrical noise from a not properly grounded washing machine.
ABSTRACT
Marijuana consumption is growing up becoming very common especially between young people. 9-THC, the main psychoactive compound in cannabis, acts on the endocannabinoid system having different cardiovascular effects, including arrhythmias, acute coronary syndrome, and sudden cardiac death. We present the case of a young man from Gambia with no cardiovascular risk factors, marijuana consumer, presenting to the emergency department with ST-elevation myocardial infarction. At coronary angiography, thrombotic left anterior descending coronary artery subocclusion was documented. We also describe the association between acute coronary syndrome and cannabis abuse.
Subject(s)
Acute Coronary Syndrome , Cannabis , Coronary Thrombosis , Marijuana Abuse , ST Elevation Myocardial Infarction , Male , Humans , Adolescent , Marijuana Abuse/complications , Coronary Thrombosis/diagnostic imaging , Coronary Thrombosis/etiology , Acute Coronary Syndrome/complications , Cannabis/adverse effects , ST Elevation Myocardial Infarction/complications , Coronary Angiography , Coronary VesselsABSTRACT
The study of diastolic function by Doppler-echocardiography is complex and demanding. The cardiologist/echocardiographist must have a systematic approach to the study of left ventricular diastolic function, not only based on the Doppler index, but integrating Doppler patterns with other echo-parameters (chamber dimensions, wall thicknesses, systolic function, valve function and morphology) and clinical information. A rational interpretation of clinical and instrumental data can allow a correct diagnosis, which is essential for clinical decision-making.