Comparison of risk assessment tools for cardiovascular diseases: results of an Iranian cohort study.

OBJECTIVES: Several popular cardiovascular risk assessment tools have been developed in Western countries; however, the predictive abilities of these tools have not been evaluated in Middle Eastern countries. The present study aimed to determine the abilities of cardiovascular risk assessment tools in a population-based study in Northern Iran. STUDY DESIGN: Population-based cohort study in Northern Iran. METHODS: In total, 2883 individuals (1629 men and 1254 women), aged 40-74 years, were included in the study. We determined the predictive abilities of the American College of Cardiology/American Heart Association (ACC/AHA) risk prediction tool, the Framingham general cardiovascular risk profile in primary care settings, and the Systematic Coronary Risk Evaluation (SCORE) equations for low- and high-risk European countries. Receiver operating characteristic (ROC) analysis was used to determine the predictive abilities of these four risk assessment tools. RESULTS: Based on areas under curve (AUC) values and related 95% confidence intervals (95% CIs), the discriminative abilities of the ACC/AHA tool, the Framingham approach, and the SCORE for low- and high-risk European countries to estimate non-fatal cardiovascular disease (CVD) events were 0.6625, 0.6517, 0.6476 and 0.6458, respectively, in men, and 0.7722, 0.7525, 0.7330 and 0.7331, respectively, in women. Moreover, the abilities of these four tools to estimate fatal CVD events were found to be 0.8614, 0.8329, 0.7996 and 0.7988 in men, and 0.8779, 0.8372, 0.8535 and 0.8518 in women, respectively. CONCLUSIONS: The cardiovascular risk assessment tools investigated in this study showed acceptable predictive abilities in women. The ACC/AHA approach showed slightly better performance compared with the SCORE tool; however, the SCORE tool benefited from the lowest cost compared with all the other tools.

Discriminatory Ability of Visceral Adiposity Index (VAI) in Diagnosis of Metabolic Syndrome: A Population Based Study.

Background Visceral adiposity index (VAI) has been suggested as an index of visceral adiposity. This study was conducted to determine the discriminatory ability of VAI in diagnosis of metabolic syndrome (MetS). Methods and materials We used the data of 5 312 subjects aged 18-74 years of a cohort study conducted among 6 140 individuals aged 10-90 years in Amol, northern Iran. The city population was divided into 16 strata based on gender and age groups in 10-year intervals. The subjects were randomly selected from each stratum. MetS was defined based on National Cholesterol Education Program Adult Treatment Panel III (NCEP/ATPIII), American Heart Association/National Heart, Lung and Blood Institute (AHA/NHLBI) update of Adult Treatment Panel III (ATPIII), International Diabetes Federation (IDF) and joint interim statement (JIS) definitions. The discriminatory ability of VAI and other obesity measures were evaluated using receiver operating characteristic (ROC) curves. Results While waist circumference (WC) showed the highest discriminatory ability for MetS in IDF definition in men (AUC=0.899 [CI=0.888-0.910]), VAI had the greatest discriminatory ability according to other definitions in men and women. The related AUCs of VAI were 0.866 (95%CI: 0.850-0.881), 0.829 (95%CI: 0.813-0.846), 0.859 (95%CI: 0.844-0.873) and 0.876 (95%CI: 0.863-0.889) based on NCEP/ATPIII, AHA/NHLBI update of ATPIII, IDF and JIS definition in men, and also 0.888 (95%CI: 0.875-0.902), 0.894 (95%CI: 0.881-0.907), 0.883 (95%CI: 0.869-0.897) and 0.879 (95%CI: 0.864-0.894) in women, respectively. Conclusion VAI showed an excellent discriminatory ability in diagnosis of MetS. Considering its relatively simple calculation, this index could be suggested as a reliable tool in medical practice.

Lipid accumulation product and metabolic syndrome: a population-based study in northern Iran, Amol.

PURPOSE: Lipid accumulation product (LAP) demonstrated a strong predictive accuracy for metabolic syndrome (MetS) in previous studies. This study was conducted to determine the predictive performance of LAP compared to obesity indexes. Moreover, the optimal cutoff point of LAP based on the study population waist circumference threshold was estimated in both men and women. METHODS: 5797 subjects with an average age of 44.77 ± 16.77 years for men and 43.78 ± 15.43 years for women were included in the present study. The ROC analysis was performed to assess the predictive accuracy of LAP in the diagnosis of MetS. The optimal cutoff point of LAP was determined according to maximal Youden index in both men and women. RESULTS: The optimal cutoff points determined for LAP were 49.71 (sensitivity = 85.2 %, specificity = 82.3 %) for women and 39.89 (sensitivity = 86 %, specificity = 79.6 %) for men. Based on the assigned cutoff points, the prevalence of high LAP was obtained 44.1 % in men and 45.1 % in women. LAP also showed a significantly higher predictive performance for MetS compared to obesity measures and also TG. CONCLUSION: LAP has a strong and reliable diagnostic accuracy for MetS in Iranian population in the north of Iran. LAP showed a better predictability than other obesity indexes assessed in the present study.