Prospective associations of coronary heart disease loci in African Americans using the MetaboChip

Background: Coronary heart disease (CHD) is a leading cause of morbidity and mortality in African Americans. However, there is a paucity of studies assessing genetic determinants of CHD in African Americans. We examined the association of publishe

A case study of an individual participant data meta-analysis of diagnostic accuracy showed that prediction regions represented heterogeneity well

The diagnostic accuracy of a screening tool is often characterized by its sensitivity and specificity. An analysis of these measures must consider their intrinsic correlation. In the context of an individual participant data meta-analysis, heterogeneity is one of the main components of the analysis. When using a random-effects meta-analytic model, prediction regions provide deeper insight into the effect of heterogeneity on the variability of estimated accuracy measures across the entire studied population, not just the average. This study aimed to investigate heterogeneity via prediction regions in an individual participant data meta-analysis of the sensitivity and specificity of the Patient Health Questionnaire-9 for screening to detect major depression. From the total number of studies in the pool, four dates were selected containing roughly 25%, 50%, 75% and 100% of the total number of participants. A bivariate random-effects model was fitted to studies up to and including each of these dates to jointly estimate sensitivity and specificity. Two-dimensional prediction regions were plotted in ROC-space. Subgroup analyses were carried out on sex and age, regardless of the date of the study. The dataset comprised 17,436 participants from 58 primary studies of which 2322 (13.3%) presented cases of major depression. Point estimates of sensitivity and specificity did not differ importantly as more studies were added to the model. However, correlation of the measures increased. As expected, standard errors of the logit pooled TPR and FPR consistently decreased as more studies were used, while standard deviations of the random-effects did not decrease monotonically. Subgroup analysis by sex did not reveal important contributions for observed heterogeneity; however, the shape of the prediction regions differed. Subgroup analysis by age did not reveal meaningful contributions to the heterogeneity and the prediction regions were similar in shape. Prediction intervals and regions reveal previously unseen trends in a dataset. In the context of a meta-analysis of diagnostic test accuracy, prediction regions can display the range of accuracy measures in different populations and settings

Patient-focused intervention to improve long-term adherence to evidence-based medications: a randomized trial

Item does not contain fulltextBACKGROUND: Nonadherence to cardiovascular medications is a significant public health problem. This randomized study evaluated the effect on medication adherence of linking hospital and community pharmacists. METHODS: Hospitalized patients with coronary artery disease discharged on aspirin, beta-blocker, and statin who used a participating pharmacy were randomized to usual care or intervention. The usual care group received discharge counseling and a letter to the community physician; the intervention group received enhanced in-hospital counseling, attention to adherence barriers, communication of discharge medications to community pharmacists and physicians, and ongoing assessment of adherence by community pharmacists. The primary end point was self-reported use of aspirin, beta-blocker, and statin at 6 months postdischarge; the secondary end point was a >/= 75% proportion of days covered (PDC) for beta-blocker and statin through 6 months postdischarge. RESULTS: Of 143 enrolled patients, 108 (76%) completed 6-month follow-up, and 115 (80%) had 6-month refill records. There was no difference between intervention and control groups in self-reported adherence (91% vs 94%, respectively, P = .50). Using the PDC to determine adherence to beta-blockers and statins, there was better adherence in the intervention versus control arm, but the difference was not statistically significant (53% vs 38%, respectively, P = .11). Adherence to beta-blockers was statistically significantly better in intervention versus control (71% vs 49%, respectively, P = .03). Of 85 patients who self-reported adherence and had refill records, only 42 (49%) were also adherent by PDC. CONCLUSIONS: The trend toward better adherence by refill records with the intervention should encourage further investigation of engaging pharmacists to improve continuity of care