ABSTRACT
BACKGROUND AND PURPOSE: Takotsubo cardiomyopathy (TCM), first reported by Japanese doctors, has gained an overall acknowledgment as an independent malady of international attention. It resembles the presentation of an acute myocardial infarction but lacks ischemic myocardial tissue. The objective of this article is to review the physiology, diagnostics, treatment, and complications of TCM and report a case study of a patient who developed TCM. METHODS: Observation through direct patient care allowed for data collection of this unique medical phenomenon. Supporting information was obtained via investigation of scholarly articles on TCM over the past 10 years. CONCLUSIONS: Although TCM is usually transient, it is important to quickly differentiate TCM from other more serious medical conditions, such as myocardial infarction, pulmonary embolism, and pheochromocytoma. Typical diagnostic workup includes electrocardiography, cardiac biomarkers, and echocardiography or coronary angiography. Complications include cardiogenic shock, left ventricular wall rupture, and life-threatening arrhythmias. IMPLICATIONS FOR PRACTICE: The advanced practice nurse (APN) is instrumental in differentiating between TCM versus acute myocardial infarction, heart failure, pulmonary edema, dynamic outflow obstruction, and cardiogenic shock. Because of these possible acute and critical presentations, prompt recognition and intervention for patients with TCM are priorities for nurse practitioners.
Subject(s)
Takotsubo Cardiomyopathy/diagnosis , Takotsubo Cardiomyopathy/physiopathology , Takotsubo Cardiomyopathy/therapy , Aged , Biomarkers/analysis , Biomarkers/blood , Coronary Angiography/methods , Diagnosis, Differential , Echocardiography/methods , Electrocardiography/methods , Female , Humans , Magnetic Resonance Imaging/methods , Stress, Psychological/complications , Stress, Psychological/psychologyABSTRACT
This study aims to evaluate the performance of a new algorithm for optimization of beam weights in anatomy-based intensity modulated radiotherapy (IMRT). The algorithm uses a numerical technique called Gaussian-Elimination that derives the optimum beam weights in an exact or non-iterative way. The distinct feature of the algorithm is that it takes only fraction of a second to optimize the beam weights, irrespective of the complexity of the given case. The algorithm has been implemented using MATLAB with a Graphical User Interface (GUI) option for convenient specification of dose constraints and penalties to different structures. We have tested the numerical and clinical capabilities of the proposed algorithm in several patient cases in comparison with KonRad((R)) inverse planning system. The comparative analysis shows that the algorithm can generate anatomy-based IMRT plans with about 50% reduction in number of MUs and 60% reduction in number of apertures, while producing dose distribution comparable to that of beamlet-based IMRT plans. Hence, it is clearly evident from the study that the proposed algorithm can be effectively used for clinical applications.
