2 additional radiofrequency applications.
Conclusion: A sufficient observation period and the use of ATP are useful to detect early reconduction after PV isolation.
(PACE 2009; 1307-1312).”
“Objective-To determine whether there is evidence of myocardial injury in horses with acute abdominal disease.
Design-Prospective case series.
Animals-18 healthy horses and 69 horses with selleck products acute abdominal disease.
Procedures-18
healthy horses had been admitted to the hospital for investigation and were assigned to group 1. Horses examined for acute abdominal disease were assigned to 3 groups: strangulating obstruction, nonstrangulating obstruction, or inflammatory disease (groups 2, 3, and 4, respectively). Heart rate, Hct, and blood lactate and cardiac troponin I (cTnI) concentrations
check details were measured at initial examination: Myocardial function was assessed by echocardiographic measurement of fractional shortening and left ventricular ejection time (LVET). Heart rhythm was evaluated via ECG.
Results-The proportion of horses with high (> 0.03 ng/mL) cTnI concentration was significantly greater among horses with strangulating (9/25 [36%]) or inflammatory (9/19 [47%]) lesions, compared with healthy horses (0/18). The proportion of horses with high cTnI concentration was significantly greater among nonsurvivors (12/24 [50%]) than among survivors (10/45 [22%]). Serum cTnI concentration was positively correlated with Hct, heart rate, and blood lactate concentration and negatively correlated with LVET.
Conclusions and Clinical Relevance-Evidence of myocardial injury was observed in horses with acute abdominal disease, and this injury was associated with severity of illness. Recognition of myocardial
injury could improve treatment of acute abdominal disease in horses. (J Am Vet Med Assoc 2012;241:1202-1208)”
“This study develops a direct scheme that is based on the magnetization curve of magnetic nanoparticles in the medium-field region above the blocking temperature to extract information on the size of particles and the uniformity thereof. The magnetization curve was fitted with a computer software that was developed in-house and based on the S3I-201 order linear addition of the Langevin functions that correspond to particles of different sizes. Numerically generated curves demonstrate that a standard deviation in volume of 10% generates a variation in magnetization of approximately 1%. The fitting program was tested on a series of generated curves for magnetic nanoparticles with various average volumes and standard deviations, yielding results with errors of around 3%. The program was also justified using the data obtained from several published articles, and the results herein were found to agree closely with those in the articles. Magnetite nanoparticles were monodispersed in a polymer matrix and magnetic measurements were made. The obtained results were compared with transmission electron microscopy observations to further validate the developed scheme.