BACKGROUND: Cognitive function is often impaired during hospitalization, but whether this impairment resolves or persists after discharge is unknown. METHODS AND RESULTS: We enrolled (April 2011-May 2013) and interviewed during hospitalization and 1-month post-discharge 1521 nondemented acute coronary syndrome survivors enrolled in TRACE (Transitions, Risks and Actions in Coronary Events). Cognitive function was assessed using the Telephone Interview of Cognitive Status (range: 0-41) at both time points. Patients reported demographic and psychosocial characteristics and medical records were abstracted. Using the Telephone Interview of Cognitive Status cut point of < /=28, we defined 4 groups of cognitive change based on cognitive status during hospitalization and 1 month later: consistently impaired, transiently impaired, newly impaired, and consistently nonimpaired. Characteristics associated with cognitive change categories were examined using multinomial logistic regression. Participants were 67% male, 84% non-Hispanic white, with mean age+/-SD 62+/-11 years; 16% (n=237) were cognitively impaired during hospitalization, and 11% (n=174) were impaired 1 month after discharge. Overall, 80% were consistently nonimpaired, 9% transiently impaired, 7% consistently impaired, and 4% newly impaired. Lower education level, minority status, low health literacy and numeracy, and higher severity of disease were independently associated with cognitive impairment during and after hospitalization. Male sex was associated with increased risk of cognitive impairment after hospital discharge. CONCLUSIONS: Cognitive function changes during the transition from hospital to home after acute coronary syndrome are less favorable for men and those with psychosocial vulnerability. Assessing cognitive status both in hospital and post-discharge is important for detecting patients who could benefit from tailored transitional care including early follow-up and booster discharge instructions.

The objectives of this longitudinal study were to examine differences between whites and blacks, and across two geographical regions, in the socio-demographic, clinical, and psychosocial characteristics, hospital treatment practices, and post-discharge mortality for hospital survivors of an acute coronary syndrome (ACS). In this prospective cohort study, we performed in-person interviews and medical record abstractions for patients discharged from the hospital after an ACS at participating sites in Central Massachusetts and Central Georgia during 2011-2013. Among the 1143 whites in Central Massachusetts, 514 whites in Central Georgia, and 277 blacks in Central Georgia, we observed a gradient of socioeconomic position with whites in Central Massachusetts being the most privileged, followed by whites and then blacks from Central Georgia; similar gradients pertained to psychosocial vulnerability (e.g., 10.7%, 25.1%, and 49.1% had cognitive impairment, respectively) and to the hospital receipt of all 4 evidence-based cardiac medications (35.5%, 18.1%, and 14.4%, respectively) used in the acute management of patients hospitalized with an ACS. Multivariable adjusted odds ratios (95% confidence intervals) for the receipt of a percutaneous coronary intervention for whites and blacks in Georgia vs. whites in Massachusetts were 0.57 (0.46-0.71) and 0.40(0.30-0.52), respectively. Thirty-day and one-year mortality risks exhibited a similar gradient. The results of this contemporary clinical/epidemiologic study in a diverse patient cohort suggest that racial and geographic disparities continue to exist for patients hospitalized with an ACS.

The GRACE Risk Score is a well-validated tool for estimating short- and long-term risk in acute coronary syndrome (ACS). GRACE Risk Score 2.0 substitutes several variables that may be unavailable to clinicians and, thus, limit use of the GRACE Risk Score. GRACE Risk Score 2.0 performed well in the original GRACE cohort. We sought to validate its performance in a contemporary multiracial ACS cohort, in particular in black patients with ACS. We evaluated the performance of the GRACE Risk Score 2.0 simplified algorithm for predicting 1-year mortality in 2,131 participants in Transitions, Risks, and Actions in Coronary Events Center for Outcomes Research and Education (TRACE-CORE), a multiracial cohort of patients discharged alive after an ACS in 2011 to 2013 from 6 hospitals in Massachusetts and Georgia. The median age of study participants was 61 years, 67% were men, and 16% were black. Half (51%) of the patients experienced a non-ST-segment elevation myocardial infarction (NSTEMI) and 18% STEMI. Eighty patients (3.8%) died within 12 months of discharge. The GRACE Risk Score 2.0 simplified algorithm demonstrated excellent model discrimination for predicting 1-year mortality after hospital discharge in the TRACE-CORE cohort (c-index = 0.77). The c-index was 0.94 in patients with STEMI, 0.78 in those with NSTEMI, and 0.87 in black patients with ACS. In conclusion, the GRACE Risk Score 2.0 simplified algorithm for predicting 1-year mortality exhibited excellent model discrimination across the spectrum of ACS types and racial/ethnic subgroups and, thus, may be a helpful tool to guide routine clinical care for patients with ACS.

OBJECTIVE: We examined the proportion of patients perceiving their heart condition to be cured following hospitalization for ACS and identified characteristics associated with these perceptions. METHODS: We conducted a prospective cohort study of adults hospitalized with ACS (N=396). Patient interviews during hospitalization and one week post-discharge provided demographic and psychosocial characteristics. Medical records provided clinical characteristics. At one week, patients who rated "My heart condition is cured" as "definitely true" or "mostly true" were considered to perceive their heart condition cured. RESULTS: Participants were aged 60.7 (SD:11.0) years, 26.5% female, and 89.0% non-Hispanic white; 16.7% had unstable angina, 59.6% NSTEMI, and 23.7% STEMI. One week post-discharge, 30.3% perceived their heart condition to be cured. Characteristics associated with cure perceptions were older age (OR=2.2; 95% CI: 1.2-4.0 for > /=65 years vs < 55 years), male sex (OR=2.4; 95%CI: 1.3-4.2), history of hypertension (OR=1.8; 95%CI: 1.1-3.1), history of stroke (OR=4.2; 95%CI: 1.1-16.7), no history of CHD (OR=2.8; 95%CI: 1.6-4.9), and receipt of CABG during hospitalization (OR=4.8, 95%CI: 1.9-12.0 vs medical management). CONCLUSION: One week post-discharge, 3 in 10 patients perceived their heart condition to be cured. PRACTICE IMPLICATIONS: Conversations with patients should frame ACS as a chronic disease and dispel cure perceptions.

BACKGROUND: Limited contemporary data compare the clinical and psychosocial characteristics and acute management of patients hospitalized with an initial vs a recurrent episode of acute coronary disease. We describe these factors in a cohort of patients recruited from 6 hospitals in Massachusetts and Georgia after an acute coronary syndrome. MATERIALS AND METHODS: We performed structured baseline in-person interviews and medical record abstractions for 2174 eligible and consenting patients surviving hospitalization for an acute coronary syndrome between April 2011 and May 2013. RESULTS: The average patient age was 61 years, 64% were men, and 47% had a high school education or less; 29% had a low general quality of life, and 1 in 5 were cognitively impaired. Patients with a recurrent coronary episode had a greater burden of previously diagnosed comorbidities. Overall, psychosocial burden was high, and more so in those with a recurrent vs those with an initial episode. Patients with an initial coronary episode were as likely to have been treated with all 4 effective cardiac medications (51.6%) as patients with a recurrent episode (52.3%), but were significantly more likely to have undergone cardiac catheterization (97.9% vs 92.9%) and a percutaneous coronary intervention (73.7% vs 60.9%) (P < .001) during their index hospitalization. CONCLUSIONS: Patients with a first episode of acute coronary artery disease have a more favorable psychosocial profile, less comorbidity, and receive more invasive procedures but similar medical management, than patients with previously diagnosed coronary disease. Implications of the high psychosocial burden on various patient-related outcomes require investigation.

Background: Hospital systems, patients and providers seek to avert rehospitalizations within 30 days for patients admitted with an acute coronary syndrome (ACS). Rehospitalizations within 30 days of discharge are often considered preventable and to reflect poor in-hospital management or discharge practices. However, independent associations of psychosocial factors with early rehospitalization in patients admitted with an ACS have not been examined. Methods: A multi-racial cohort of 1,540 patients admitted with an ACS reported psychosocial factors via standardized questionnaires in an in-hospital interview. One month following discharge, patients were interviewed via phone and reported hospital readmissions. We used logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of the association between in-hospital psychosocial characteristics (depression, anxiety, and perceived stress), health literacy and numeracy, and cognitive status, with self-reported readmission within 30 days. Results: Participants were 34% female and 17% non-white, with a mean age of 62 years and a mean length of stay of 4.1 days. Rehospitalization was reported for 14% (n=208) of participants, 77% of which were due to CVD. In univariate analyses, in-hospital severe depression, anxiety, and high stress were associated with higher odds of early readmission, whereas low health numeracy was associated with lower odds of early readmission. Severe depression remained associated with higher odds and low health numeracy remained associated with lower odds of early readmission in a multivariable model including covariates associated on univariate testing with rehospitalization. Conclusions: Early readmission after hospitalization for an ACS was common and associated with in-hospital depression and health numeracy. Notably, depression and health numeracy were the only predictors independently associated with readmission in multivariable analyses. We speculate that the lower likelihood of readmission for those with low numeracy may be related to less engagement with the healthcare system. In-hospital screening for depression and characterization of health numeracy may help stratify risk for early rehospitalization after an ACS.

PURPOSE: This study examined the relationship between coping style and understanding of diabetes self-care among African American and white elders in a southern Medicare-managed care plan. METHODS: Participants were identified through a diabetes-related pharmacy claim or ICD-9 code and completed a computer-assisted telephone survey in 2006-2007. Understanding of diabetes self-care was assessed using the Diabetes Care Profile Understanding (DCP-U) scale. Coping styles were classified as active (talk about it/take action) or passive (keep it to yourself). Linear regression was used to estimate the associations between coping style with the DCP-U, adjusting for age, sex, education, and comorbidities. Based on the conceptual model, 4 separate categories were established for African American and white participants who displayed active and passive coping styles. RESULTS: Of 1420 participants, the mean age was 73 years, 46% were African American, and 63% were female. Most respondents (77%) exhibited active coping in response to unfair treatment. For African American participants in the study, active coping was associated with higher adjusted mean DCP-U scores when compared to participants with a passive coping style. No difference in DCP-U score was noted among white participants on the basis of coping style. CONCLUSIONS: Active coping was more strongly associated with understanding of diabetes self-care among older African Americans than whites. Future research on coping styles may give new insights into reducing diabetes disparities among racial/ethnic minorities.

BACKGROUND AND OBJECTIVE: Shared decision making and advance planning in end-of-life decisions have become increasingly important aspects of the management of seriously ill patients. Here, we describe the use and timing of do-not-resuscitate (DNR) orders in patients hospitalized with acute myocardial infarction (AMI). STUDY DESIGN AND SETTING: The nonconcurrent prospective study population consisted of 4182 patients hospitalized with AMI in central Massachusetts in four annual periods between 2001 and 2007. RESULTS: One-quarter (25%) of patients had a DNR order written either prior to or during hospitalization. The frequency of DNR orders remained constant (24% in 2001; 26% in 2007). Among patients with DNR orders, there was a significant increase in orders written prior to hospitalization (2001: 9%; 2007: 55%). Older patients and those with a medical history of heart failure or myocardial infarction were more likely to have prior DNR orders than respective comparison groups. Patients with prior DNR orders were less likely to die 1 month after hospitalization than patients whose DNRs were written during hospitalization. CONCLUSION: Although the use of DNR orders in patients hospitalized with AMI was stable during the period under study, in more recent years, patients are increasingly being hospitalized with DNR orders already in place.

Background: Cardiovascular disease continues to cause significant morbidity, mortality, and impaired quality of life, with unrealized health gains from the underuse of available evidence. The Transitions, Risks, and Actions in Coronary Events Center for Outcomes Research and Education (TRACE-CORE) aims to advance the science of acute coronary syndromes by examining the determinants and outcomes of the quality of transition from hospital to community and by quantifying the impact of potentially modifiable characteristics associated with decreased quality of life, rehospitalization, and mortality. Methods and Results: TRACE-CORE comprises a longitudinal multiracial cohort of patients hospitalized with acute coronary syndromes, 2 research projects, and development of a nucleus of early stage investigators. We are currently enrolling 2500 adults hospitalized for acute coronary syndromes at 6 hospitals in the northeastern and southeastern United States. We will follow these patients for 24 months after hospitalization through medical record abstraction and 5 patient interviews focusing on quality of life, cardiac events, rehospitalizations, mortality, and medical, behavioral, and psychosocial characteristics. The Transitions Project studies determinants of and disparities in outcomes of the quality of patients' transition from hospital to community. Focusing on potentially modifiable factors, the Action Scores Project will develop and validate action scores to predict recurrent cardiac events, death, and quality of life, describe longitudinal variation in these scores, and develop a dashboard for patient and provider action on the basis of these scores. Conclusions: In TRACE-CORE, sound methodologic principles of observational studies converge with outcomes and effectiveness research approaches. We expect that our data, research infrastructure, and research projects will inform the development of novel secondary prevention approaches and underpin the careers of cardiovascular outcomes researchers.

This article reviews key federal Medicaid policies affecting older adults with serious, long-term mental illness: (a) the Medicaid exclusion of coverage for Institutions for Mental Diseases, (b) the Preadmission Screening and Resident Review Process, and (c) the Medicaid Home and Community Based Services waiver policy. Documenting the incentives and restrictions in these policies provides an historical context for understanding the current gaps in treatment for elders with mental illness. New federal options under the Deficit Reduction Act may provide opportunities for reducing the institutional bias for older adults with mental illness and for improving mental health services for elders under Medicaid.