Longitudinal Relationships Between Heart Failure Self-care and All-Cause Hospital Readmissions.

BACKGROUND: Many patients with heart failure (HF) are repeatedly hospitalized. Heart failure self-care may reduce readmission rates. Hospitalizations may also affect self-care. OBJECTIVE: The purpose of this secondary analysis was to test the hypotheses that better HF self-care is associated with a lower rate of all-cause readmissions and that readmissions motivate patients to improve their self-care. METHODS: This was a prospective cohort study of patients with HF (N = 400) who were enrolled during a stay at an urban teaching hospital between 2014 and 2016. The Self-Care of Heart Failure Index v6.2 was administered during the hospital stay, along with other questionnaires, and repeated at 6-month intervals after discharge. All-cause readmissions and deaths were ascertained for 24 months. RESULTS: A total of 333 (83.3%) were readmitted at least once, and 117 (29.3%) of the patients died during the follow-up period. A total of 1581 readmissions were ascertained. Higher Self-Care of Heart Failure Index Maintenance scores predicted more rather than fewer readmissions (adjusted hazard ratio, 1.09; 95% confidence interval, 1.01-1.17; P < .01). Conversely, more readmissions predicted higher Maintenance scores (b = 0.29; 95% confidence interval, 0.02-0.56; P < .05). CONCLUSIONS: These findings do not support the hypothesis that HF self-care maintenance or management helps to reduce the rate of all-cause readmissions, but they do suggest that the experience of multiple readmissions may help to motivate improvements in HF self-care.

Treating Depression to Improve Survival in Coronary Heart Disease: What Have We Learned?

Major depressive disorder is a well-established risk factor for cardiac events in patients with coronary heart disease, but clinical trials have produced little evidence that treating depression reliably improves cardiac event-free survival in these patients. In this review, we offer evidence that certain symptoms that commonly remain after otherwise successful treatment of depression-insomnia, fatigue, and anhedonia-independently predict cardiac events. This may help to explain the failure of previous depression treatment trials to improve cardiac event-free survival even when other symptoms of depression improve. We thus propose that adverse cardiovascular effects that have long been attributed to syndromal depression may be instead caused by persistent fatigue, insomnia, and anhedonia, regardless of whether other symptoms of depression are present. We also identify interventions for these symptoms and call for more research to evaluate their effectiveness in depressed patients with coronary heart disease.

TAVR in Older Adults: Moving Toward a Comprehensive Geriatric Assessment and Away From Chronological Age: JACC Family Series.

Calcific aortic stenosis can be considered a model for geriatric cardiovascular conditions due to a confluence of factors. The remarkable technological development of transcatheter aortic valve replacement was studied initially on older adult populations with prohibitive or high-risk for surgical valve replacement. Through these trials, the cardiovascular community has recognized that stratification of these chronologically older adults can be improved incrementally by invoking the concept of frailty and other geriatric risks. Given the complexity of the aging process, stratification by chronological age should only be the initial step but is no longer sufficient to optimally quantify cardiovascular and noncardiovascular risk. In this review, we employ a geriatric cardiology lens to focus on the diagnosis and the comprehensive management of aortic stenosis in older adults to enhance shared decision-making with patients and their families and optimize patient-centered outcomes. Finally, we highlight knowledge gaps that are critical for future areas of study.

Cardiovascular Disease in the Older Adult: Where Are We 4 Decades Later?

The 1986 Bethesda Conference on Cardiovascular Disease (CVD) in the Elderly, co-chaired by Drs. Nanette Wenger, Frank Marcus, and Robert O'Rourke, delineated the anticipated social, political, ethical, economic and technological impact of an aging population on the incidence, prevalence, and management of CVD in the US and worldwide. In the ensuing 4 decades, older patients have come to comprise an increasingly large proportion of the CVD population, and there has been an explosion of research in all aspects of CVD affecting older adults. Correspondingly, Geriatric Cardiology is now an established field within cardiovascular medicine. In this communication, we provide a focused update on intersections between CVD and geriatrics from basic science to clinical practice, a review of major advances in diagnosis and treatment of older adults with CVD, and a preview of future research directions in the still evolving field of geriatric cardiology.

Demographic, behavioral, dietary, and clinical predictors of high-sensitivity C-reactive protein: The National Health and Nutrition Examination Surveys (NHANES).

Aims: High-sensitivity C-reactive protein (hs-CRP), a marker of inflammation, is associated with atherosclerosis, and recent studies indicate that therapies targeting inflammation are associated with reductions in cardiovascular risk. However, factors predictive of elevated hs-CRP in the general population have not been elucidated. Methods: In this cross-sectional study, multivariable logistic regression analysis was used to identify independent predictors of elevated hs-CRP (≥3 mg/L) utilizing the National Health and Nutrition Examination Survey (NHANES) 2015-2016 cycle. The model was verified using the independent NHANES 2017-2018 cycle. Candidate variables comprised demographic, behavioral, dietary, and clinical factors. The study included 5412 adults from the 2015-2016 cohort and 5856 adults from the 2017-2018 cohort. Results: Significant independent predictors of elevated hs-CRP included: older age (OR 1.09 per decade; 95 % CI 1.03-1.14; P = 0.024), female sex (OR 1.57; 95 % CI 1.36-1.80; P = 0.003), Black vs White race (OR 1.31; 95 % CI 1.10-1.56; P = 0.037), increased BMI (OR 1.12 per kg/m2; 95 % CI 1.10-1.14; P < 0.001), elevated white blood cell count (OR 1.21 per 1000 white blood cells/µL; 95 % CI 1.15-1.28; P = 0.002), and self-reported poor vs excellent health (OR 1.73; 95 % CI 1.04-2.22; P = 0.012). The model had excellent discrimination with a c-statistic of 0.77 in the 2015-2016 cycle and 0.76 in the 2017-2018 cycle. Conclusion: Older age, female sex, Black race, increased BMI, higher white blood cell count, and self-reported poor health were independent predictors of elevated hs-CRP levels. Additional studies are needed to determine if behavioral modifications can lower hs-CRP and whether this translates to reduced risk for cardiovascular disease and other conditions associated with chronic inflammation.