No abstract

Chest X-rays performed at the bedside are the most widely used imaging method in the follow-up of critically ill patients. DE is approximately 84.5%. Radiologists should maintain familiarity with the interpretation of this examination.

This study examined the prevalence of major and minor depression in patients with acute coronary syndrome and their relation with heart rate and heart-rate variability, and clinical characteristics. The study group included 297 patients, 200 men and 97 women, between ages of 21 and 70 years (M age = 57.5 +/- 9.6), who were admitted to a coronary care unit with acute coronary syndrome and survived to discharge from the hospital. Major and minor depression were diagnosed using DSM-IV. There were 44.1% patients with acute coronary syndrome without depression, 29.3% with minor depression, and 26.6% with major depression. The prevalence of minor and major depression was more elevated in patients with non-ST-segment elevation myocardial infarction and unstable angina than in patients with ST-segment elevation myocardial infarction. Ventricular fibrillation and atrial fibrillation were more common in patients with major and minor depression than in patients without depression. The 24-hr. duration of heart-beat intervals and heart-rate variability were significantly lower in patients with major and minor depression than in patients without depression. This study implies that clinical depression was significantly comorbid with the acute coronary syndrome and was related to hypertension, diabetes mellitus, age, sex, type of acute coronary syndrome, left ventricular failure, higher heart rate, and lower heart-rate variability.

Angiotensin-converting enzyme (ACE) inhibitors have been acknowledged as first-line agents for the treatment of hypertension and a variety of cardiovascular disorders. In this context, quantitative structure-activity relationship (QSAR) models for a series of non-peptide compounds as ACE inhibitors are developed based on Simplified Molecular Input-Line Entry System (SMILES) notation and local graph invariants. Three random splits into the training and test sets are used. The Monte Carlo method is applied for model development. Molecular docking studies are used for the final assessment of the developed QSAR model and the design of novel inhibitors. The statistical quality of the developed model is good. Molecular fragments responsible for the increase/decrease of the studied activity are calculated. The computer-aided design of new compounds, as potential ACE inhibitors, is presented. The predictive potential of the applied approach is tested, and the robustness of the model is proven using different methods. The results obtained from molecular docking studies are in excellent correlation with the results from QSAR studies. The presented study may be useful in the search for novel cardiovascular therapeutics based on ACE inhibition.

No abstract