A clinical study of arrhythmias associated with acute myocardial infarction and thrombolysis

Background: Arrhythmias are a common occurrence in ACS. This study was undertaken to analyze the incidence, frequency and type of arrhythmias in relation to the site of infarction to aid in timely intervention to modify the outcome in MI and to study the significance of Reperfusion arrhythmias.Methods: 100 patients were evaluated. ECG and cardiac enzymes were studied. Arrhythmias complicating AMI in terms of their incidence, timing, severity, type, relation, reperfusion and results were studied.Results: Of the 100 cases, 74% were males and 26% females of which incidence being common between 4th to 7th decades of life. AMI was common in patients with Diabetes and Hypertension (23% each). Incidence of AWMI (58%) is higher than IWMI (40%). Out of all arrhythmias, Ventricular Tachycardia was seen in 24% cases with 50% mortality and preponderance to Antero Lateral Myocardial Infarction. Sinus Tachycardia was seen in 23% of cases with preponderance to Antero Lateral Myocardial Infarction and persistence of Sinus Tachycardia was a prognostic sign, mortality being 22%. Complete Heart Block and Sinus Bradycardia were seen with IWMI, incidence being 53.8% and 100% respectively. Bundle Branch Block was common in AWMI (31%) than IWMI (10%). Among 64 thrombo-lysed cases, 21 had Reperfusion Arrhythmias without any mortality, whereas remaining 43 without Reperfusion Arrhythmias had mortality of 18.6%.Conclusions: According to the study, Tachy-arrhythmias are common with Anterior Wall Myocardial Infarction and Brady-arrhythmias in Inferior Wall Myocardial Infarction. Reperfusion Arrhythmias are a benign phenomenon and good indicator of successful reperfusion

A weak characterization of slow variables in stochastic dynamical systems

We present a novel characterization of slow variables for continuous Markov processes that provably preserve the slow timescales. These slow variables are known as reaction coordinates in molecular dynamical applications, where they play a key role in system analysis and coarse graining. The defining characteristics of these slow variables is that they parametrize a so-called transition manifold, a low-dimensional manifold in a certain density function space that emerges with progressive equilibration of the system's fast variables. The existence of said manifold was previously predicted for certain classes of metastable and slow-fast systems. However, in the original work, the existence of the manifold hinges on the pointwise convergence of the system's transition density functions towards it. We show in this work that a convergence in average with respect to the system's stationary measure is sufficient to yield reaction coordinates with the same key qualities. This allows one to accurately predict the timescale preservation in systems where the old theory is not applicable or would give overly pessimistic results. Moreover, the new characterization is still constructive, in that it allows for the algorithmic identification of a good slow variable. The improved characterization, the error prediction and the variable construction are demonstrated by a small metastable system