Venous Thromboembolism Following Travel

International travel has become increasingly common and accessible, hence, about two billion passengers undertake international and domestic air travel each year. Venous thromboembolism (VTE) is a serious public health disorder which may occur following prolonged travel, especially after air travel. A direct relation between VTE development and prolonged travels has been documented, while some references did not confirm this relation. The travel-related VTE is a multi-factorial disorder, and the risk of thrombosis is higher in individuals with pre-existing risk factors. Some believe that hypobaric hypoxia was a more likely explanation for thrombus formation during prolonged travel. Other factors including immobilization, dehydration, excessive alcohol or coffee consumption, lower air pressure, and lower humidity can make the traveler prone to thrombus formation. Herein we tried to evaluate previous studies and available guidelines thereby providing information on the association of thrombosis and travel, risk factors, risk assessment, and strategies for the prevention of VTE following travel

Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics:a Preliminary Machine Learning Study

In this study, the ability of radiomics features extracted from myocardial perfusion imaging with SPECT (MPI-SPECT) was investigated for the prediction of ejection fraction (EF) post-percutaneous coronary intervention (PCI) treatment. A total of 52 patients who had undergone pre-PCI MPI-SPECT were enrolled in this study. After normalization of the images, features were extracted from the left ventricle, initially automatically segmented by k-means and active contour methods, and finally edited and approved by an expert radiologist. More than 1700 2D and 3D radiomics features were extracted from each patient’s scan. A cross-combination of three feature selections and seven classifier methods was implemented. Three classes of no or dis-improvement (class 1), improved EF from 0 to 5% (class 2), and improved EF over 5% (class 3) were predicted by using tenfold cross-validation. Lastly, the models were evaluated based on accuracy, AUC, sensitivity, specificity, precision, and F-score. Neighborhood component analysis (NCA) selected the most predictive feature signatures, including Gabor, first-order, and NGTDM features. Among the classifiers, the best performance was achieved by the fine KNN classifier, which yielded mean accuracy, AUC, sensitivity, specificity, precision, and F-score of 0.84, 0.83, 0.75, 0.87, 0.78, and 0.76, respectively, in 100 iterations of classification, within the 52 patients with 10-fold cross-validation. The MPI-SPECT-based radiomic features are well suited for predicting post-revascularization EF and therefore provide a helpful approach for deciding on the most appropriate treatment.</p

Polymorphism of rs599839 in the PSRC1 gene is associated with coronary artery disease in an Iranian population

Introduction: Coronary artery disease (CAD) is the leading health complication worldwide because of its high prevalence and mortality. The association between CAD susceptibility and the rs599839 (C/T) polymorphism in the human proline and serine-rich coiled-coil (PSRC1) was reported in a genome-wide association study. To validate this association, we performed this case-control study to genotype the 1p13.3 (rs599839) locus in a sample of the Iranian population with CAD (stenosis≥70% in≥1 coronary artery). Methods: We performed an association analysis with PCR and Sanger sequencing of rs599839 (C/T) polymorphism and CAD risk in 280 CAD patients and 287 healthy controls defined as a coronary calcium score of zero and no noncalcified plaques in coronary computed tomography angiography. SPSS, version 16.0, was applied for statistical analysis. Results: The rs599839 (C/T) locus showed a significant association with CAD (P value<0.001). TT and CT genotypes were associated with CAD (P value<0.001). Furthermore, the dominant status (TT+CT vs. CC) was associated with an increased risk of CAD (OR, 9.14; 95% CI, 3.77 to 22.15; and P value<0.001). Conclusion: The study findings indicate strong evidence for rs599839 (C/T) association with CAD risk