N-Terminal Pro-B-Type Natriuretic Peptide and Microsize Myocardial Infarction Risk in the Reasons for Geographic and Racial Differences in Stroke Study

Background: N-terminal pro B-type peptide (NT-proBNP) has been associated with risk of myocardial infarction (MI), but less is known about the relationship between NT-proBNP and very small non ST-elevation MI, also known as microsize MI. These events are now routinely detectable with modern troponin assays and are emerging as a large proportion of all MI. Here, we sought to compare the association of NT-proBNP with risk of incident typical MI and microsize MI in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study. Methods: The REGARDS Study is a national cohort of 30,239 US community-dwelling black and white adults aged ≥ 45 years recruited from 2003 to 2007. Expert-adjudicated outcomes included incident typical MI (definite/probable MI with peak troponin ≥ 0.5 μg/L), incident microsize MI (definite/probable MI with peak troponin \u3c 0.5 μg/L), and incident fatal CHD. Using a case-cohort design, we estimated the hazard ratio of the outcomes as a function of baseline NT-proBNP. Competing risk analyses tested whether the associations of NT-proBNP differed between the risk of incident microsize MI and incident typical MI as well as if the association of NT-proBNP differed between incident non-fatal microsize MI and incident non-fatal typical MI, while accounting for incident fatal coronary heart disease (CHD) as well as heart failure (HF). Results: Over a median of 5 years of follow-up, there were 315 typical MI, 139 microsize MI, and 195 incident fatal CHD. NT-proBNP was independently and strongly associated with all CHD endpoints, with significantly greater risk observed for incident microsize MI, even after removing individuals with suspected HF prior to or coincident with their incident CHD event. Conclusion: NT-proBNP is associated with all MIs, but is a more powerful risk factor for microsize than typical MI

Different types of distrust in clinical research among whites and African Americans.

BACKGROUND: African Americans are thought to be more distrustful of clinical research compared to elderly whites, but it is unknown whether specific types of distrust in clinical research, such as interpersonal or societal distrust, vary according to race. The primary objective was to identify racial differences in interpersonal or societal distrust in clinical research among African Americans and whites. METHODS: Seven hundred seventy-six older African Americans and whites were surveyed about their interpersonal and societal distrust using a 7-item index of distrust in clinical research. We combined the 2 societal distrust items into a societal distrust subscale. We also assessed trust in primary care physicians, access to care, health/functional status, previous exposure to clinical research, awareness of the Tuskegee Syphilis Study, perceived discrimination in health care, and sociodemographic characteristics. RESULTS: High societal distrust was more common among African Americans compared to whites (21% vs 7% in the top quartile of the societal distrust, p < .0001), but there were no racial differences in responses to the individual interpersonal distrust index items. In sequentially built multivariable analyses, the relationship between African American race and societal distrust (odds ratio, 2.2; 95% CI, 1.2-3.7) was not completely explained by other factors such as trust in one's physician, previous discrimination, or awareness of the Tuskegee Syphilis Study. CONCLUSIONS: Racial differences according to the type of distrust in clinical research may warrant assessing specific types of distrust separately among racially diverse populations in future studies

Association of functional and structural social support with medication adherence among individuals treated for coronary heart disease risk factors: Findings from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study.

BACKGROUND:Functional social support has a stronger association with medical treatment adherence than structural social support in several populations and disease conditions. Using a contemporary U.S. population of adults treated with medications for coronary heart disease (CHD) risk factors, the association between social support and medication adherence was examined. METHODS:We included 17,113 black and white men and women with CHD or CHD risk factors aged ≥45 years recruited 2003-2007 from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study. Participants reported their perceived social support (structural social support: being partnered, number of close friends, number of close relatives, and number of other adults in household; functional social support: having a caregiver in case of sickness or disability; combination of structural and functional social support: number of close friends or relatives seen at least monthly). Medication adherence was assessed using a 4-item scale. Multi-variable adjusted Poisson regression models were used to calculate prevalence ratios (PR) for the association between social support and medication adherence. RESULTS:Prevalence of medication adherence was 68.9%. Participants who saw >10 close friends or relatives at least monthly had higher prevalence of medication adherence (PR = 1.06; 95% CI: 1.00, 1.11) than those who saw ≤3 per month. Having a caregiver in case of sickness or disability, being partnered, number of close friends, number of close relatives, and number of other adults in household were not associated with medication adherence after adjusting for covariates. CONCLUSIONS:Seeing multiple friends and relatives was associated with better medication adherence among individuals with CHD risk factors. Increasing social support with combined structural and functional components may help support medication adherence

Evidence-based beta blocker use associated with lower heart failure readmission and mortality, but not all-cause readmission, among Medicare beneficiaries hospitalized for heart failure with reduced ejection fraction.

The beta blockers carvedilol, bisoprolol, and sustained-release metoprolol succinate reduce readmissions and mortality among patients with heart failure with reduced ejection fraction (HFrEF), based upon clinical trial and registry studies. Results from these studies may not generalize to the typical patient with HFrEF. We conducted a retrospective cohort study of beneficiaries in the Medicare 5% sample hospitalized for HFrEF between 2007 and 2013 and were discharged alive. We compared the 30-day and 365-day heart failure (HF) readmission, all-cause readmission, and mortality rates between beneficiaries who filled a prescription for an evidence-based beta blocker and those who did not after being hospitalized for HFrEF. Out of 12,127 beneficiaries hospitalized for HFrEF, 20% were readmitted for HF, 62% were readmitted for any cause, and 27% died within 365 days. In competing risk models adjusted for demographics, healthcare utilization, and comorbidities, beta blocker use was associated with a lower risk of HF readmission between 8-365 days post discharge (hazard ratio 0.79 [95% confidence interval 0.76, 0.82]), but was not significantly associated with all-cause readmission (1.02 [0.97-1.07]). In Cox models adjusted for the same covariates, beta blocker use was associated with lower mortality 8-365 days post discharge (0.65 [0.60-0.71]). Results were similar when follow up was truncated at 30 days post discharge. Increasing the use of beta blockers following HFrEF hospitalization may not decrease all-cause readmissions among Medicare beneficiaries, but may reduce HF-specific readmissions and mortality

Trust in physicians and blood pressure control in blacks and whites being treated for hypertension in the REGARDS study.

Trust in physicians was not related to blood pressure control among Blacks and Whites with treated hypertension in this sample. The racial disparity in blood pressure control was not completely explained by trust in physicians or medication adherence, and a better understanding of the mechanisms leading to this disparity is needed

Social support components by medication adherence status.

<p>Social support components by medication adherence status.</p

Adjusted models with prevalence ratios and 95% confidence intervals of high medication adherence by social support components.

<p>Adjusted models with prevalence ratios and 95% confidence intervals of high medication adherence by social support components.</p

Flow chart with exclusion criteria.

<p>Flow chart with exclusion criteria.</p