The impact of smoking status on the health status of heart failure patients.

Smoking is a major risk factor for the development of heart failure (HF). Yet, little is known about smoking's effects on the health status of established HF patients. HF patients were recruited from outpatient clinics across North America. The Kansas City Cardiomyopathy Questionnaire (KCCQ) was used to assess disease-specific health status. Smoking behaviors were classified as never having smoked, prior smoker, and as having smoked within the past 30 days. Risk-adjusted multivariable regression was used to evaluate the association of smoking status with baseline and 1-year KCCQ overall summary scores. Smoking was not associated with baseline health status. However, a significant effect was observed on 1-year health status among outpatients with HF with current smokers reporting significantly lower KCCQ scores than never smokers or ex-smokers. These findings highlight an additional adverse consequence of smoking in HF patients not previously discussed.

Impact of obesity on the health status of heart failure patients.

BACKGROUND: Obesity is a recognized, preventable risk factor for the development of heart failure (HF); however, little is understood about its effects on patients with established HF. Furthermore, few researchers have assessed obesity's effect on the health status of established HF patients. This study evaluated the influence of obesity on the health status, at baseline and 1 year later, on patients with established HF. METHODS AND RESULTS: Comprehensive clinical data, health status, and obesity classification of 543 HF outpatients from 13 centers was assessed at baseline and 1 year later. Health status was quantified with the generic Short Form-12 and disease-specific Kansas City Cardiomyopathy Questionnaire Overall Summary score. Cross-sectional and longitudinal risk-adjusted general linear models were computed comparing the health status of patients who were classified as either underweight, normal weight, overweight, or obese. Obesity classification was not significantly associated with patients' baseline health status and did not predict 1-year health status. CONCLUSIONS: Although obesity has been reported to confer a survival advantage to patients with HF, it was not associated with better health status at baseline, or after 1 year, in our cohort. Better understanding of the relationship among HF, body weight, and health status is needed before evidence-based recommendations can be made regarding weight management for HF patients.

Patient-reported economic burden and the health status of heart failure patients.

BACKGROUND: Heart failure (HF) guidelines recommend treatment with multiple medications to improve survival, functioning, and quality of life. Yet, HF treatments can be costly, resulting in significant economic burden for some patients. To date, there are few data on the impact of patients' perceived difficulties in affording medical care on their health outcomes. METHODS AND RESULTS: Comprehensive clinical data, health status, and the perceived economic burden of 539 HF outpatients from 13 centers were assessed at baseline and 1 year later. Health status was quantified with the Kansas City Cardiomyopathy Questionnaire overall summary score. Cross-sectional and longitudinal (1-year) analyses were conducted comparing the health status of patients with and without self-reported economic burden. Patients with economic burden had significantly lower health status scores at both baseline and 1 year later. Although baseline perceptions of economic burden were associated with poorer health status, patients' perceived difficulty affording medical care at 1 year was a more important determinant of lower 1-year health status. CONCLUSION: HF patients reporting difficulty affording their medical care had lower perceived health status than those reporting little to no economic burden. More research is needed to further evaluate this association and to determine whether addressing perceived economic difficulties affording health care can improve HF patients' health status.

Health status identifies heart failure outpatients at risk for hospitalization or death.

OBJECTIVES: We tested the hypothesis that one health status measure, the Kansas City Cardiomyopathy Questionnaire (KCCQ), provides prognostic information independent of other clinical data in outpatients with heart failure (HF). BACKGROUND: Health status measures are used to describe a patient's clinical condition and have been shown to predict mortality in some populations. Their prognostic value may be particularly useful among patients with HF for identifying candidates for disease management in whom increased care may reduce hospitalizations and prevent death. METHODS: We evaluated 505 HF patients from 13 outpatient clinics who had an ejection fraction <40% using the KCCQ summary score. Proportional hazards regression was used to evaluate the association between the KCCQ summary score (range, 0 to 100; higher scores indicate better health status) and the primary outcome of death or HF admission, adjusting for baseline patient characteristics, 6-min walk distance, and B-type natriuretic peptide (BNP). RESULTS: The mean age was 61 years, 76% of patients were male, 51% had an ischemic HF etiology, and 5% were New York Heart Association functional class IV. At 12 months, among the 9% of patients with a KCCQ score <25, 37% had been admitted for HF and 20% had died, compared with 7% (HF admissions) and 5% (death) of those with a KCCQ score > or =75 (33% of patients, p < 0.0001 for both comparisons). In sequential multivariable models adjusting for clinical variables, 6-min walk, and BNP levels, the KCCQ score remained significantly associated with survival free of HF hospitalization. CONCLUSIONS: A low KCCQ score is an independent predictor of poor prognosis in outpatients with HF.

Monitoring clinical changes in patients with heart failure: a comparison of methods.

BACKGROUND: Although monitoring the clinical status of patients with heart failure rests at the core of clinical medicine, the ability of different techniques to reflect clinical change has not been evaluated. This study sought to describe changes in various measures of disease status associated with gradations of clinical change. METHODS: A prospective, 14-center cohort of 476 outpatients was assessed at baseline and 6 +/- 2 weeks to compare changes in 7 heart failure measures with clinically observed change. Measures included health status instruments (the Kansas City Cardiomyopathy Questionnaire [KCCQ], Short Form-12, and EQ-5D), physician-assessed functional class (New York Heart Association [NYHA]), an exercise test (6-minute walk), patient weight, and a biomarker (B-type natriuretic peptide). Cardiologists, blinded to all measures except weight and NYHA, categorized clinical change ranging from large deterioration to large improvement. RESULTS: The KCCQ, NYHA, and 6-minute walk test were most sensitive to clinical change. For patients with large, moderate, and small deteriorations, the KCCQ decreased by 25 +/- 16, 17 +/- 14, and 5.3 +/- 11 points, respectively. For patients with small, moderate, and large improvements, the KCCQ increased by 5.7 +/- 16, 10.5 +/- 16, and 22.3 +/- 16 points, respectively (P < .01 for all compared with the no change group). New York Heart Association and 6-minute walk distance were significantly different for those with moderate and large changes (P < .05) but neither revealed a difference between those with small versus no clinical deterioration. The KCCQ had the highest c statistic for monitoring individual patients, followed by NYHA and 6-minute walk. CONCLUSION: The KCCQ, followed by the NYHA and the 6-minute walk test, most accurately reflected clinical change in patients with heart failure.

Low-to-moderate alcohol intake and health status in heart failure patients.

BACKGROUND: Although heart failure (HF) guidelines recommend alcohol abstinence, existing evidence indicates that alcohol may not worsen survival and no data about associations between alcohol and health status (patients' symptoms, function, and quality of life) exist. METHODS AND RESULTS: Alcohol use was quantified in 420 HF outpatients. The associations between moderate alcohol intake (1 to 60 drinks/month) and health status were assessed by comparing baseline and 1-year Kansas City Cardiomyopathy Questionnaire (KCCQ) and Short Form-12 (SF-12) scores between moderate and nondrinkers. No differences in baseline KCCQ or SF-12 scores between abstainers (n = 245) and moderate drinkers (n = 175) were observed (KCCQ 60.5 +/- 24 versus 61.9 +/- 23.5, P = .55; SF-12 Physical Component Score (PCS) 33.6 +/- 11.2 versus 35.3 +/- 10.2, P = .14; and SF-12 Mental Component Score (MCS) 49.1 +/- 11.1 versus 49.4 +/- 11.4, P = .78). Abstainers and drinkers also had similar 1-year KCCQ scores (65.8 +/- 24.5 versus 69.3 +/- 24.1, P = .23), mortality (10.5% versus 11.6%, P = .72) and HF hospitalizations (18.0% versus 15.4%, P = .51). Multivariable analyses controlling for baseline differences also revealed similar outcomes between abstainers and drinkers-1-year KCCQ change = 4.3 +/- 1.8 versus 5.2 +/- 2.5; P = .75), mortality (OR = 1.33, 95% CI 0.67-2.64), or HF hospitalization (OR = 1.13, 95% CI 0.60-2.11). CONCLUSION: No relationships between moderate alcohol consumption and health status or 1-year outcomes were identified in this multicenter observational study. These data do not support the need for complete alcohol abstinence for all HF patients among those who drink in moderation.

Saturation of tobacco smoking models and risk of alcohol and tobacco use among adolescents.

PURPOSE: To examine how saturation of an adolescent's environment with models of cigarette smoking (e.g., parents, siblings, friends) affects the probability of tobacco and alcohol use among junior high and high school students. METHODS: The Health and Smoking Questionnaire was administered to 806 adolescents (182 smokers and 624 nonsmokers; 57.2% female) average age of 15.1 years (SD = 1.6) in a mid-size Midwestern town. The questionnaire contains standardized items in five domains: demographics, smoking status and history, perceptions of risk and risk reduction, risk factors for tobacco use, and parenting style. RESULTS: Risk for smoking or using alcohol increased dramatically as the number of models who smoke increased in an adolescent's environment. For instance, adolescents with one significant other who smoked were nearly four times (OR = 3.76, p <.001) more likely to smoke than someone with no significant others who smoked. However, if an adolescent had four significant others who smoked, they were over 160 times more likely to smoke (OR = 161.25, p <.001). Similar results were found for alcohol use; adolescents who had one significant other who smoked were more than 2.5 (OR = 2.66, p <.001) times more likely to drink than those without smoking models. Adolescents who had four significant other smoking models were 13 times (OR = 13.08, p <.001) more likely to drink. CONCLUSIONS: As the number of cigarette smokers in an adolescent's environment increases, risk of tobacco and alcohol use increases substantially. These data suggest that multiple models of tobacco use will substantially increase risk for substance use in adolescents.

Assessing depression in the cardiac patient. When is the appropriate time to assess depression in the patient undergoing coronary revascularization?

Depression is a well-established risk factor for cardiovascular disease-related morbidity and mortality. It is common to screen for depression in patients undergoing coronary revascularization prior to revascularization; however, the validity of this assessment is unclear as some patients may experience transient, reactive depression rather than persistent depression. The authors evaluated whether an initial or 1-month postprocedure screen was optimal for identifying consistently depressed patients. Depression at 1-month postprocedure was a stronger predictor of depression at months 2 to 6 than baseline depression. After adjusting potential confounding variables, there was a much stronger relationship between 1-month and 6-month depression status (OR = 28.7 if depressed at 1 month, p < .001) than between baseline and 6-month depression status (OR = 6.5 if depressed at baseline, p < .001). Screening for depression at the time of revascularization is not as predictive of depression at 6 months as it is 1 month postprocedure.