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You can download Intex IT-LC81() Free Driver Windows 7 from the link below for free. and colleagues evaluated the performance of ten MAIS (A, B, C, D, F, G, H, I, J and K) as predictors of EKG results in 60 patients who were referred for EKG and who were then confirmed to have HF by EKG results, physical examination and echocardiogram. The MAIS categories A, B, C, H and I were shown to be highly sensitive (100%) for predicting the presence of HF. One MAIS was needed to determine the presence of HF with a sensitivity of 100% and a specificity of 99.3%. These results were similar to our results obtained with Echocardiography and cardiac biomarkers. The MAIS methodology was a sensitive and accurate method for predicting HF in patients who presented with dyspnea \[[@B23]\].

However, there were limitations of the current study. First, there were a small number of patients in each group. These were due to the fact that our patients were treated in only two hospitals. It is possible that different characteristics of our population may have led to some biases. Therefore, further study with a larger patient sample may be needed. Second, the medical history was obtained retrospectively. This may have caused some errors in the medical histories. Third, all the patients who underwent TTE were selected by one investigator. This limits the objectivity of the study. Fourth, this was a hospital-based study, thus the generalization of the results was not possible. In addition, it was necessary to include patient groups who were diagnosed as dyspnea. Many patients with dyspnea had a respiratory disease, such as COPD, and their clinical characteristics differed from those of patients with HF. In this study, the medical history included a comorbidity of COP 0b46394aab

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