Comparison of cardiovascular risk assessment tools and their guidelines in evaluation of 10-year CVD risk and preventive recommendations: A population based study.

BACKGROUND: Identification of individuals at risk of cardiovascular diseases (CVDs) results in better clinical outcomes and may help policy makers in conscious decision making for community based and national intervention strategies. The main aim of this study was to compare various CVD risk assessment tools and their related guidelines in estimation of 10-year CVD risk and subsequent therapeutic recommendations, respectively. METHODS: Data of 3086 subjects aged 40-74years from a cohort study of northern Iran were utilized in this cross-sectional study. The risks were calculated based on American College of Cardiology/American Heart Association (ACC/AHA) tool, two versions of Systematic Coronary Risk Evaluation (SCORE) equations (for low and high risk European countries) and Framingham approach. We also detected participants who ought to be recommended for treatment based on the specific guidelines related to each of the risk assessment tools. RESULTS: Mean cardiovascular risks were 12.96%, 8.84%, 1.90% and 3.45% in men and 5.87%, 2.13%, 0.8% and 1.13% in women based on ACC/AHA, Framingham, SCORE equation for low-risk European countries and high-risk European countries, respectively. Based on ACC/AHA, Adult Treatment Panel III (ATPIII) and European Society of Cardiology (ESC) guidelines related to SCORE equations for low and high risk European countries 58.2%, 27.1%, 21.1% and 28.6% of men and 39.7%, 33.0%, 29.5% and 30.7% of women were recommended to statin therapy, respectively. CONCLUSIONS: In conclusion, more individuals were recommended for treatment by ACC/AHA guideline than the other guidelines.

Conicity Index and Waist-to-Hip Ratio Are Superior Obesity Indices in Predicting 10-Year Cardiovascular Risk Among Men and Women.

BACKGROUND: Central obesity has been recognized as a main risk factor for cardiovascular (CV) events. Three popular central obesity indices are waist circumference, waist-to-hip ratio (WHR), and waist-to-height ratio; abdominal volume index and conicity index are 2 recent novel obesity indices. The main aim of this study is to determine the performance of these indices to best predict 10-year CV events. HYPOTHESIS: Some obesity indices can be used to predict cardiovascular risk. METHODS: In total, 3199 subjects (age range, 40-79 years) were enrolled in this cross-sectional study. The American College of Cardiology/American Heart Association and Framingham risk score tools were used to estimate the 10-year CV events. Receiver operating characteristic curve analysis was used to determine the optimal discriminator(s) among the central obesity measures in the estimation of a 10-year risk of CV events ≥7.5%, ≥10%, and ≥20% separately. RESULTS: Among the 5 central obesity indices, conicity index showed the most discriminatory power in estimation of a 10-year CV risk. In men, based on the American College of Cardiology/American Heart Association tool, the areas under the curve (AUCs) were from 0.671 to 0.682 based on the 3 above thresholds, whereas with the Framingham tool, AUCs were from 0.651 to 0.659. In women, all AUCs were >0.7. Our results also showed WHR to be an almost comparable discriminator of CV disease risk in the Iranian study population. CONCLUSION: Conicity index and WHR had a more discriminatory accuracy for 10-year CV events compared with the other obesity indices.

Simulated drug discovery process to conduct a synoptic assessment of pharmacy students.

OBJECTIVE. To implement and assess a task-based learning exercise that prompts pharmacy students to integrate their understanding of different disciplines. DESIGN. Master of pharmacy (MPharm degree) students were provided with simulated information from several preclinical science and from clinical trials and asked to synthesize this into a marketing authorization application for a new drug. Students made a link to pharmacy practice by creating an advice leaflet for pharmacists. ASSESSMENT. Students' ability to integrate information from different disciplines was evaluated by oral examination. In 2 successive academic years, 96% and 82% of students demonstrated an integrated understanding of their proposed new drug. Students indicated in a survey that their understanding of the links between different subjects improved. CONCLUSION. Simulated drug discovery provides a learning environment that emphasizes the connectivity of the preclinical sciences with each other and the practice of pharmacy.

Use of amino acids as counterions improves the solubility of the BCS II model drug, indomethacin.

The number of new chemical entities (NCE) is increasing every day after the introduction of combinatorial chemistry and high throughput screening to the drug discovery cycle. One third of these new compounds have aqueous solubility less than 20µg/mL [1]. Therefore, a great deal of interest has been forwarded to the salt formation technique to overcome solubility limitations. This study aims to improve the drug solubility of a Biopharmaceutical Classification System class II (BCS II) model drug (Indomethacin; IND) using basic amino acids (L-arginine, L-lysine and L-histidine) as counterions. Three new salts were prepared using freeze drying method and characterised by FT-IR spectroscopy, proton nuclear magnetic resonance ((1)HNMR), Differential Scanning Calorimetry (DSC) and Thermogravimetric analysis (TGA). The effect of pH on IND solubility was also investigated using pH-solubility profile. Both arginine and lysine formed novel salts with IND, while histidine failed to dissociate the free acid and in turn no salt was formed. Arginine and lysine increased IND solubility by 10,000 and 2296 fold, respectively. An increase in dissolution rate was also observed for the novel salts. Since these new salts have improved IND solubility to that similar to BCS class I drugs, IND salts could be considered for possible waivers of bioequivalence.