Cardiovascular health: the importance of measuring patient-reported health status: a scientific statement from the American Heart Association

Discrepancy between echocardiographic and patient-reported health status response to cardiac resynchronization therapy: results of the PSYHEART-CRT study

AIMS

The current study examined the degree of agreement between echocardiographic and patient-reported health status response to CRT 6 months after implantation, and evaluated the differences in pre-implantation characteristics of patients with concordant and discordant echocardiographic and health status responses.

METHODS AND RESULTS

Consecutively implanted CRT-defibrillator patients (n = 109, mean age = 65.4 ± 10.1 years, 74 men) were recruited from the University Medical Center Utrecht, The Netherlands. Prior to implantation and 6 months post-implantation, all patients underwent echocardiography and completed the Kansas City Cardiomyopathy Questionnaire (KCCQ). Echocardiographic response was defined as a relative reduction of ≥15% in LV end-systolic volume; an improvement of ≥10 points in KCCQ score indicated a health status response. In the 54 patients with discordant responses, 25 (22.9%) had an echocardiographic response but no health status response and 29 (26.6%) had a health status response but no echocardiographic response. Patients with concordant and discordant responses differed on various pre-implantation characteristics, including sex, employment status, LV volumes, and pre-implantation KCCQ score. In multivariable analysis, pre-implantation KCCQ score [odds ratio (OR) = 0.91, 95% confidence interval (CI) = 0.88-0.95, P < 0.001] and QRS duration (OR = 1.03, 95% CI = 1.01-1.06, P = 0.009) were the only characteristics associated with health status response to CRT.

CONCLUSIONS

Our results show a large discrepancy between echocardiographic and patient-reported health status response to CRT. The most important predictor of health status response was the pre-implantation health status score. These results emphasize that disease-specific health status measures may have additional value over 'objective' measures of CRT response and should be incorporated in clinical practice.

Frailty assessment in the cardiovascular care of older adults

Due to the aging and increasingly complex nature of our patients, frailty has become a high-priority theme in cardiovascular medicine. Despite the recognition of frailty as a pivotal element in the evaluation of older adults with cardiovascular disease (CVD), there has yet to be a road map to facilitate its adoption in routine clinical practice. Thus, we sought to synthesize the existing body of evidence and offer a perspective on how to integrate frailty into clinical practice. Frailty is a biological syndrome that reflects a state of decreased physiological reserve and vulnerability to stressors. Upward of 20 frailty assessment tools have been developed, with most tools revolving around the core phenotypic domains of frailty-slow walking speed, weakness, inactivity, exhaustion, and shrinking-as measured by physical performance tests and questionnaires. The prevalence of frailty ranges from 10% to 60%, depending on the CVD burden, as well as the tool and cutoff chosen to define frailty. Epidemiological studies have consistently demonstrated that frailty carries a relative risk of >2 for mortality and morbidity across a spectrum of stable CVD, acute coronary syndromes, heart failure, and surgical and transcatheter interventions. Frailty contributes valuable prognostic insights incremental to existing risk models and assists clinicians in defining optimal care pathways for their patients. Interventions designed to improve outcomes in frail elders with CVD such as multidisciplinary cardiac rehabilitation are being actively tested. Ultimately, frailty should not be viewed as a reason to withhold care but rather as a means of delivering it in a more patient-centered fashion.

Active lifestyles related to excellent self-rated health and quality of life: cross sectional findings from 194,545 participants in The 45 and Up Study

Background

Physical activity and sitting time independently contribute to chronic disease risk, though little work has focused on aspirational health outcomes. The purpose of this study was to examine associations between physical activity, sitting time, and excellent overall health (ExH) and quality of life (ExQoL) in Australian adults.

Methods

The 45 and Up Study is a large Australian prospective cohort study (n = 267,153). Present analyses are from 194,545 participants (48% male; mean age = 61.6 ± 10.7 yrs) with complete baseline questionnaire data on exposures, outcomes, and potential confounders (age, income, education, smoking, marital status, weight status, sex, residential remoteness and economic advantage, functional limitation and chronic disease). The Active Australia survey was used to assess walking, moderate, and vigorous physical activity. Sitting time was determined by asking participants to indicate number of hours per day usually spent sitting. Participants reported overall health and quality of life, using a five-point scale (excellent—poor). Binary logistic regression models were used to analyze associations, controlling for potential confounders.

Results

Approximately 16.5% of participants reported ExH, and 25.7% reported ExQoL. In fully adjusted models, physical activity was positively associated with ExH (AOR = adjusted odds ratio for most versus least active = 2.22, 95% CI = 2.20, 2.47; P_trend < 0.001) and ExQoL (AOR for most versus least active = 2.30, 95% CI = 2.12, 2.49; P_trend < 0.001). In fully adjusted models, sitting time was inversely associated with ExH (AOR for least versus most sitting group = 1.13, 95% CI = 1.09, 1.18; P_trend < 0.001) and ExQoL (AOR for least versus most sitting group = 1.13, 95% CI = 1.10, 1.17; P_trend < 0.001). In fully adjusted models, interactions between physical activity and sitting time were not significant for ExH (P = 0.118) or ExQoL (P = 0.296).

Conclusions

Physical activity and sitting time are independently associated with excellent health and quality of life in this large diverse sample of Australian middle-aged and older adults. These findings bolster evidence informing health promotion efforts to increase PA and decrease sitting time toward the achievement of better population health and the pursuit of successful aging.