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4.
Circulation ; 133(11): 1135-47, 2016 Mar 15.
Article in English | MEDLINE | ID: mdl-26490017
5.
Front Cardiovasc Med ; 9: 839400, 2022.
Article in English | MEDLINE | ID: mdl-35387447

ABSTRACT

Coronary artery disease is a leading cause of death worldwide. There has been a myriad of advancements in the field of cardiovascular imaging to aid in diagnosis, treatment, and prevention of coronary artery disease. The application of artificial intelligence in medicine, particularly in cardiovascular medicine has erupted in the past decade. This article serves to highlight the highest yield articles within cardiovascular imaging with an emphasis on coronary CT angiography methods for % stenosis evaluation and atherosclerosis quantification for the general cardiologist. The paper finally discusses the evolving paradigm of implementation of artificial intelligence in real world practice.

6.
Catheter Cardiovasc Interv ; 87(6): 1001-19, 2016 May.
Article in English | MEDLINE | ID: mdl-26489034
7.
BMJ Case Rep ; 14(7)2021 Jul 13.
Article in English | MEDLINE | ID: mdl-34257116

ABSTRACT

COVID-19 has been associated with significant risk for cardiac arrhythmias, particularly in patients with underlying cardiac conditions or prior histories of arrhythmia. It has been shown that a Brugada pattern can be unmasked in febrile patients with COVID-19. Herein we report a unique case of an afebrile patient without known prior history of Brugada presenting with Brugada pattern on ECG.


Subject(s)
Brugada Syndrome , COVID-19 , Arrhythmias, Cardiac , Brugada Syndrome/complications , Brugada Syndrome/diagnosis , Electrocardiography , Humans , SARS-CoV-2
8.
BMJ Case Rep ; 14(5)2021 May 11.
Article in English | MEDLINE | ID: mdl-33975843

ABSTRACT

This report documents a rare case of COVID-19-associated constrictive pericarditis (CP) in the setting of a recent COVID-19 infection. A 55-year-old man with a history of hypertension and gout presented with acute hypoxic respiratory failure and was diagnosed with COVID-19 pneumonia with progression to acute respiratory distress syndrome. His hospital course was complicated by a large pericardial effusion; an emergent bedside transthoracic echocardiography was concerning for cardiac tamponade, so pericardiocentesis was performed. A workup with cardiac magnetic resonance imaging showed changes consistent with a diagnosis of CP. Viral and idiopathic aetiologies are the most common cause of CP in the developed world, with COVID-19 now a proposed predisposing viral illness. The virus induces systemic inflammation and pericardial changes that can lead to CP physiology. Imaging modalities including echocardiogram and cardiac magnetic resonance play an integral role in confirming the diagnosis.


Subject(s)
COVID-19 , Cardiac Tamponade , Pericardial Effusion , Pericarditis, Constrictive , Pericarditis , Cardiac Tamponade/diagnostic imaging , Cardiac Tamponade/etiology , Humans , Male , Middle Aged , Pericardial Effusion/surgery , Pericardiocentesis , Pericarditis, Constrictive/diagnostic imaging , Pericarditis, Constrictive/etiology , SARS-CoV-2
13.
Circulation ; 127(4): e362-425, 2013 Jan 29.
Article in English | MEDLINE | ID: mdl-23247304
14.
Am J Cardiol ; 123(11): 1845-1852, 2019 06 01.
Article in English | MEDLINE | ID: mdl-30922540

ABSTRACT

Transcatheter aortic valve implantation (TAVI) is an acceptable treatment for severe aortic stenosis in high or intermediate risk patients. Conduction abnormalities are a known complication of TAVI. Most abnormalities occur perioperatively but can develop later. The predictors of delayed conduction abnormalities are unknown. Patients who underwent TAVI at our institution were reviewed. Patients with a pre-existing pacemaker were excluded. Baseline, in-hospital, and 30-day follow-up ECGs were reviewed. Patient and procedural characteristics were analyzed to look for predictors of acute and delayed abnormalities. Ninety-eight patients were included. All valves implanted were balloon expandable, most commonly SAPIEN S3 (78%). Thirty-seven (37.7%) patients developed abnormalities before discharge. Of these patients, 20 (57.1%) had complete resolution at 30-day follow-up. No patients with new conduction abnormalities during hospitalization had additional abnormalities at 30-day follow-up. Five (5.1%) patients developed new conduction abnormalities following discharge. Overall, 22 (22.4%) patients had conduction abnormalities at 30-day follow-up which were not present at baseline. Predilatation (p = 0.003), higher ratios of balloon (p = 0.03) or valve (p = 0.05) size to left ventricular outflow tract, and previous myocardial infarction (p = 0.034) were predictive of acute conduction abnormalities. Baseline right bundle branch block (p = 0.002), longer baseline (p <0.001) and discharge (p = 0.004) QRS duration, moderate, or severe aortic insufficiency (p = 0.002) and atrial fibrillation (p = 0.031) were predictors of new conduction abnormalities after discharge. In conclusion, most new in-hospital conduction abnormalities resolve by 30-day follow-up. In-hospital conduction abnormalities are related to technical aspects of TAVI while delayed conduction abnormalities are related to baseline conduction system disease.


Subject(s)
Aortic Valve Stenosis/surgery , Cardiac Conduction System Disease/etiology , Heart Valve Prosthesis , Postoperative Complications/etiology , Transcatheter Aortic Valve Replacement/adverse effects , Aged , Aged, 80 and over , Female , Follow-Up Studies , Humans , Male , Prognosis , Prosthesis Design , Retrospective Studies , Time Factors , Treatment Outcome
16.
Catheter Cardiovasc Interv ; 82(1): E1-27, 2013 Jul 01.
Article in English | MEDLINE | ID: mdl-23299937
17.
Med Care Res Rev ; 65(6): 674-95, 2008 Dec.
Article in English | MEDLINE | ID: mdl-18832109

ABSTRACT

Little is known about how patient and primary care physician characteristics are associated with quality of depression care. The authors conducted structured interviews of 404 randomly selected primary care physicians after their interaction with CD-ROM vignettes of actors portraying depressed patients. Vignettes varied along the dimensions of medical comorbidity, attributions regarding the cause of depression, style, race/ethnicity, and gender. Results show that physicians showed wide variation in treatment decisions; for example, most did not inquire about suicidal ideation, and most did not state that they would inform the patient that there can be a delay before an antidepressant is therapeutic. Several physician characteristics were significantly associated with management decisions. Notably, physician age was inversely correlated with a number of quality-of-care measures. In conclusion, quality of care varies among primary care physicians and appears to be associated with physician characteristics to a greater extent than patient characteristics.


Subject(s)
Depressive Disorder/therapy , Physicians, Family , Practice Patterns, Physicians' , Adult , Baltimore , District of Columbia , Ethnicity , Female , Humans , Male , Middle Aged , Practice Patterns, Physicians'/statistics & numerical data , Surveys and Questionnaires , Video Recording
20.
Circulation ; 123(10): e269-367, 2011 Mar 15.
Article in English | MEDLINE | ID: mdl-21382897
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