Arthur Sillah

BACKGROUND: Heart failure (HF) is associated with a high symptom burden and reduced quality of life (QOL). Models integrating palliative care (PC) into HF care have been proposed, but limited research is available on the outcomes of such models. OBJECTIVE: Our aim was to assess if inpatient PC for HF patients is associated with improvements in symptom burden, depressive symptoms, QOL, or differential use of services. METHODS: Patients hospitalized with acute HF were randomized to receive a PC consult with follow-up as determined by provider or standard care. Two hundred thirty-two patients (116 intervention/116 control) from a large tertiary-care urban hospital were recruited over a 10-month period. Primary outcomes were symptom burden, depressive symptoms, and QOL measured at baseline, 1, and 3 months. Secondary outcomes included advance care planning (ACP), inpatient 30-day readmission, hospice use, and death. RESULTS: Improvements were greater at both 1 and 3 months in the intervention group for primary outcome summary measures after adjusting for age, gender, and marital status differences between study groups. QOL scores increased by 12.92 points in the intervention and 8 points in the control group at 1 month (difference+4.92, p<0.001). Improvement in symptom burden was 8.39 in the intervention group and 4.7 in the control group at 1 month (+3.69, p<0.001). ACP was the only secondary outcome associated with the intervention (hazard ratio [HR] 2.87, p=0.033). CONCLUSION: An inpatient PC model for patients with acute HF is associated with short-term improvement in symptom burden, QOL, and depressive symptoms.

BACKGROUND: The American Heart Association (AHA) recently created the construct of "ideal cardiovascular health" based on 7 cardiovascular health metrics to measure progress toward their 2020 Impact Goal. The present study applied this construct to assess the baseline cardiovascular health of a rural population targeted with a community-based cardiovascular disease prevention program. METHODS AND RESULTS: The sample consists of 4754 New Ulm, Minn, adult residents who participated in either the 2009 or 2011 community heart health screenings offered by the Hearts Beat Back: The Heart of New Ulm (HONU) Project (mean age 52.1 years, 58.3% women). Data collected at the screenings were analyzed to replicate the AHA's ideal cardiovascular health measure and the 7 metrics that comprise the construct. Screening participants met, on average (± SD), 3.4 (± 1.4) ideal cardiovascular health metrics. Only 1.0% of participants met the AHA's definition of ideal health in all metrics and 7.1% met ≤ 1 ideal health metric. Higher proportions of women met the ideal category in all metrics except physical activity. Women over the age of 60 were less likely to meet the ideal category for cholesterol and hypertension than were men in the same age range. CONCLUSION: Prevalence of ideal cardiovascular health is extremely low in this rural population. To make progress toward the 2020 Impact Goal, targeted community-based interventions must be implemented based on the most prevalent cardiovascular risk factors.

Prior research has shown that unhealthy lifestyles increase the risk for developing a number of chronic diseases, but there are few studies examining how lifestyle changes impact metabolic syndrome. This study analyzed the association between two-year changes in key lifestyle risk metrics and incident metabolic syndrome in adults. A retrospective cohort study was conducted using data from metabolic syndrome free adults in the Heart of New Ulm Project (New Ulm, MN). The outcome was incident metabolic syndrome observed two years after baseline in 2009. The primary predictor was change in optimal lifestyle score based on four behavioral risk factors, including smoking, alcohol use, fruit/vegetable consumption, and physical activity. In the analytical sample of 1059 adults, 12% developed metabolic syndrome by 2011. Multivariable regression models (adjusted for baseline lifestyle score, age, sex, education, cardiovascular disease, and diabetes) revealed that a two-year decrease in optimal lifestyle score was associated with significantly greater odds of incident metabolic syndrome (OR = 2.92; 95% CI: 1.69, 5.04; p < 0.001). This association was primarily driven by changes in obesity, fruit/vegetable consumption, and alcohol intake. As compared to improving poor lifestyle habits, maintaining a healthy lifestyle seemed to be most helpful in avoiding metabolic syndrome over the two-year study timeframe.