David A. Alter

Life expectancy after an index hospitalization for patients with heart failure: a population-based study.

BACKGROUNDnAn understanding of the life expectancy of patients with heart failure (HF) may assist in difficult treatment decisions such as placement of an implantable cardioverter-defibrillator or initiation of end-of-life care. However, previous studies have focused on predicting shorter-term mortality and limited data currently exist to predict expected survival among hospitalized patients with HF.nnnMETHODSnWe studied 9943 patients who were newly hospitalized with HF between 1999 and 2001 in Ontario, Canada. Median survival was calculated using survival analysis and stratified by baseline characteristics and the EFFECT HF risk score. These analyses were repeated for the 1467 patients who had left ventricular ejection fraction of < or = 30%.nnnRESULTSnThe average age of our HF cohort was 75.8 years and 50.4% of the patients were female. After a median follow-up of 6 years, hospitalized patients with HF had a 5-year mortality rate of 68.7% and a median survival of 2.4 years. Mortality varied substantially across risk groups such that median survival was only 8 months for patients in the high-risk group and only 3 months in the very high risk group. Similarly, among patients with depressed left ventricular ejection fraction, median survival was only 6 and 3 months in the high- and very high risk groups, respectively.nnnCONCLUSIONSnPrognostic estimations using median survival may improve the ability of physicians to identify subgroups of patients with HF who have limited life expectancy. This information may assist in communicating prognostic information and guiding difficult treatment decisions among hospitalized patients with HF.

Dose-dependent impact of recurrent cardiac events on mortality in patients with heart failure.

BACKGROUNDnThe mortality impact of recurrent cardiac hospitalizations has not been delineated in community-based heart failure patients. We determined if a dose-dependent relationship exists between heart failure events and death, accounting for temporal changes in age, comorbidities, and disease severity.nnnMETHODSnAmong heart failure patients in the Enhanced Feedback For Effective Cardiac Treatment Study with onset between April 1999 and March 2001, we compared long-term survival (until March 2006) in those with recurrent heart failure or cardiovascular events, relative to those free of such events.nnnRESULTSnIn 9138 patients, 28,442 person-years of follow-up were examined (mean age: 75.3 years, 49.6% male). Recurrent heart failure events occurred 1, 2, 3, and >or=4 times in 2352 (25.7%), 1020 (11.2%), 505 (5.5%), and 596 (6.5%) patients, respectively. Cardiovascular readmissions occurred 1, 2, 3, and >or=4 times in 2522 (27.6%), 1509 (16.5%), 975 (10.7%), and 1672 (18.3%) patients, respectively. Compared with those without recurrent heart failure events, the adjusted relative mortality rates for 1, 2, 3, and >or=4 heart failure events were 2.41 (95% confidence interval [CI], 2.24-2.60), 3.00 (95% CI 2.72-3.32), 4.00 (95% CI, 3.51-4.56), and 5.16 (95% CI, 4.55-5.85), respectively. Compared with those without cardiovascular events, the adjusted relative mortality rates for 1, 2, 3, and >or=4 cardiovascular events were 3.33 (95% CI, 3.05-3.63), 4.61 (95% CI, 4.16-5.10), 6.29 (95% CI, 5.59-7.07), and 8.95 (95% CI, 8.05-9.95), respectively.nnnCONCLUSIONSnThe risk of death increases progressively and independently with each heart failure or cardiovascular event. The number of prior events predicts mortality and should be ascertained in patients with heart failure.

Contribution of patient and physician factors to cardiac rehabilitation referral: a prospective multilevel study

Background Cardiac rehabilitation (CR), in most developed countries, is a proven means of reducing mortality but it is grossly underutilized owing to factors involving both the health system and patients. These issues have not been investigated concurrently. To this end, we employed a hierarchical design to investigate physician and patient factors that affect verified CR referral.Methods This study was prospective with a multilevel design. We assessed 1,490 outpatients with coronary artery disease attending 97 cardiology practices. Cardiologists completed a survey about attitudes to CR referral. Outpatients were surveyed prospectively to assess sociodemographic, clinical, behavioral, psychosocial and health system factors that affected CR referral. Responses were analyzed by mixed logistic regression analyses. After 9 months, CR referral was verified at 40 centers.Results Health-care providers referred 550 (43.4%) outpatients to CR. Factors affecting verified referral included positive physician perceptions of CR (P = 0.03), short distance to the closest CR site (P = 0.003), the perception of fewer barriers to CR (P < 0.001) and a sense of personal control over their condition by the patient (P = 0.001).Conclusions Physician-related and patient-related factors both contribute to CR referral. The most relevant physician perceptions of such programs are program quality and perceived benefit. For patients, the most relevant factors are perceived barriers to CR, which might be conveyed during prereferral discussions. Work to improve physicians perceptions and patients understanding might improve use of rehabilitation services.

The Relationship Between Need and Capacity for Multidisciplinary Cardiovascular Risk-Reduction Programs in Ontario

BACKGROUNDnAvailable evidence has demonstrated survival benefits associated with multidisciplinary cardiovascular risk-reduction (CR) (ie, cardiac rehabilitation) programs. The degree to which program capacity meets eligible service demands in Ontario is unknown. We sought to estimate the supply-need care-gap associated with CR programs across regions (Local Health Integration Networks [LHINs]) in Ontario.nnnMETHODSnWe conducted a cross-sectional, population-based study during 2006. Administrative data provided estimates of the population eligible for multidisciplinary CR services due to (1) recent cardiovascular hospitalizations and (2) incident diabetes. An Ontario-wide survey of CR programs provided service supply estimates. The coverage rate and the absolute supply-need mismatch were use to quantify the care-gap by LHIN.nnnRESULTSnBased on cardiac hospitalizations alone, 53,270 patients in Ontario in 2006 (508.7 per 100,000) were eligible for CR services; 128,869 patients (1245 per 100,000) would have been eligible if newly diagnosed (incident cases) diabetic patients were included. Capacity for CR services was 18,087 patients, corresponding to 34% coverage of the eligible population (absolute unmet needs of 35,189 individuals) if capacity was entirely dedicated to recent hospitalizations and 14% coverage (absolute unmet needs of 110,782) if services were extended to include incident diabetes patients. Marked variation in disease burden, service capacity, and supply-need mismatch was observed across regions, in which supply was not correlated with need.nnnCONCLUSIONnDespite proved benefits of multidisciplinary CR programs, unmet population needs remain high in Ontario and are unequally distributed across regions. The magnitude of unmet needs and the lack of correlation between supply and disease burden necessitate broader provincial strategies to plan, allocate, and subsidize CR programs.

Therapeutic benefit of preventive telehealth counseling in the Community Outreach Heart Health and Risk Reduction Trial.

We evaluated whether telehealth counseling augments lifestyle change and risk factor decrease in subjects at high risk for primary or secondary cardiovascular events compared to a recommended guideline for brief preventive counseling. Subjects at high risk or with coronary heart disease (35 to 74 years of age, n = 680) were randomized to active control (risk factor feedback, brief advice, handouts) or telehealth lifestyle counseling (active control plus 6 weekly 1-hour teleconferenced sessions to groups of 4 to 8 subjects). Primary outcome was questionnaire assessment of adherence to daily exercise/physical activity and diet (daily vegetable and fruit intake and restriction of fat and salt) after treatment and at 6-month follow-up. Secondary outcomes were systolic and diastolic blood pressures, ratio of total to high-density lipoprotein cholesterol, and 10-year absolute risk for coronary disease. After treatment and at 6-month follow-up, adherence increased for telehealth versus control in exercise (29.3% and 18.4% vs 2.5% and 9.3%, respectively, odds ratio 1.60, 95% confidence interval 1.2 to 2.1) and diet (37.1% and 38.1% vs 16.7% and 33.3%, respectively, odds ratio 1.41, 95% confidence interval 1.1 to 1.9). Telehealth versus control had greater 6-month decreases in blood pressure (mean ± SE, systolic -4.8 ± 0.8 vs -2.8 ± 0.9 mm Hg, p = 0.04; diastolic -2.7 ± 0.5 vs -1.5 ± 0.6 mm Hg, p = 0.04). Decreases in cholesterol ratio and 10-year absolute risk were significant for the 2 groups. In conclusion, telehealth counseling augments therapeutic lifestyle change in subjects at high risk for cardiovascular events compared to a recommended guideline for brief preventive counseling.

Cardiologists' charting varied by risk factor, and was often discordant with patient report

OBJECTIVEnTo assess the completeness of cardiac risk factor documentation by cardiologists, and agreement with patient report.nnnSTUDY DESIGN AND SETTINGnA total of 68 Ontario cardiologists and 789 of their ambulatory cardiology patients were randomly selected. Cardiac risk factor data were systematically extracted from medical charts, and a survey was mailed to participants to assess risk factor concordance.nnnRESULTSnWith regard to completeness of risk factor documentation, 90.4% of charts contained a report of hypertension, 87.2% of diabetes, 80.5% of dyslipidemia, 78.6% of smoking behavior, 73.0% of other comorbidities, 48.7% of family history of heart disease, and 45.9% of body mass index or obesity. Using Cohens k, there was a concordance of 87.7% between physician charts and patient self-report of diabetes, 69.5% for obesity, 56.8% for smoking status, 49% for hypertension, and 48.4% for family history.nnnCONCLUSIONnTwo of four major cardiac risk factors (hypertension and diabetes) were recorded in 90% of patient records; however, arguably the most important reversible risk factors for cardiac disease (dyslipidemia and smoking) were only reported 80% of the time. The results suggest that physician chart report may not be the criterion standard for quality assessment in cardiac risk factor reporting.

Relationship Between Cardiac Rehabilitation Participation and Health Service Expenditures Within a Universal Health Care System

Objectives: To examine the relationship between cardiac rehabilitation participation and health service expenditures in Ontario, Canada. Patients and Methods: A total of 6284 patients referred to cardiac rehabilitation between April 1, 2003, and December 31, 2010, were linked to 6284 matched cardiac rehabilitation eligible nonreferred controls and followed over a 3‐year period across multiple linked administrative databases to identify health service utilization expenditures and mortality. All patients had previous cardiac hospitalizations within the preceding year. Four cardiac rehabilitation eligible groups of patients were balanced using propensity score weights: (1) no referral; (2) no participation; (3) low participation levels (ie, attending <67% of prescheduled classes); and (4) high participation levels (ie, attending ≥67% prescheduled classes). Each group of patients was balanced in age, sex, geography, socioeconomic status, previous hospitalizations, ambulatory care conditions, cardiovascular risk factors, comorbidities, and previous health care expenditures. Generalized linear models were used to examine differences in health service expenditures (from all sources including hospitalizations, physician visits, diagnostic tests, and drugs for those older than 65 years) per “eligible day alive” over the 3‐year period. Results: Compared with the nonreferred population, health service expenditures followed a dose‐response relationship and were lowest in patients who had the highest cardiac rehabilitation programmatic participation levels (P<.001). Cost differences across groups separated early, remained divergent, and applied to all components of health care expenditures (P<.001). Sensitivity analyses confirmed that the findings were not secondary to reverse causality. Conclusion: Participation in cardiac rehabilitation is associated with lower long‐term health service utilization expenditures within a publicly funded health care system.