Beta-blocker use and outcomes among hospitalized heart failure patients.

OBJECTIVES: The purpose of this study was to determine the effect of beta-blocker therapy on outcomes of hospitalized heart failure (HF) patients enrolled in the Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization (ESCAPE). BACKGROUND: The effect of beta-blocker therapy on outcomes among hospitalized HF patients is not well documented. METHODS: We studied the association between beta-blocker therapy and outcomes among 432 hospitalized HF patients in the ESCAPE trial. RESULTS: A total of 268 patients (62%) were on beta-blockers before admission. These patients had a shorter length of stay (7.9 +/- 6.3 days vs. 9.4 +/- 6.7 days; p < 0.01) and a lower six-month mortality rate (16% vs. 24%; p = 0.03) compared with those who were not on beta-blockers. Of the patients who were on admission beta-blockers and were discharged alive (n = 263), beta-blockers were discontinued in 54 and significantly modified (>50% dose reduction or changed to alternative beta-blocker) in 28 patients during hospitalization. Factors associated with discontinuation of beta-blockers during hospitalization included respiratory rate >24 breaths/min (30.8% vs. 16.9%; p = 0.03), heart rate >100 beats/min (19.2% vs. 7.3%; p = 0.01), lower ejection fraction (17.9 +/- 5.4% vs. 20.2 +/- 7.1%; p = 0.04), diabetes (21.2% vs. 37.1%; p = 0.03), and systolic blood pressure <100 mm Hg during hospitalization (70.3% vs. 54.1%; p = 0.03). After adjusting for factors associated with beta-blocker use and those with outcomes, consistent beta-blocker use during hospitalization was associated with a significant reduction in the rate of rehospitalization or death within six months after discharge (odds ratio 0.27, 95% confidence interval 0.10 to 0.71; p < 0.01). CONCLUSIONS: Beta-blocker therapy before and during hospitalization for HF is associated with improved outcomes.     

Incidence, predictors at admission, and impact of worsening renal function among patients hospitalized with heart failure

OBJECTIVES: The goal of this study was to determine the prevalence of worsening renal function (WRF) among hospitalized heart failure (HF) patients, clinical predictors of WRF, and hospital outcomes associated with WRF. BACKGROUND: Impaired renal function is associated with poor outcomes among chronic HF patients. METHODS: Chart reviews were performed on 1,004 consecutive patients admitted for a primary diagnosis of HF from 11 geographically diverse hospitals. Cox regression model analysis was used to identify independent predictors for WRF, defined as a rise in serum creatinine of >0.3 mg/dl (26.5 micromol/l). Bivariate analysis was used to determine associations of development of WRF with outcomes (in-hospital death, in-hospital complications, and length of stay). RESULTS: Among 1,004 HF patients studied, WRF developed in 27%. In the majority of cases, WRF occurred within three days of admission. History of HF or diabetes mellitus, admission creatinine > or =1.5 mg/dl (132.6 micromol/l), and systolic blood pressure >160 mm Hg were independently associated with higher risk of WRF. A point score based on these characteristics and their relative risk ratios predicted those at risk for WRF. Hospital deaths (adjusted risk ratio [ARR] 7.5; 95% confidence intervals [CI] 2.9, 19.3), complications (ARR 2.1; CI 1.5, 3.0), and length of hospitalizations >10 days (ARR 3.2, CI 2.2, 4.9) were greater among patients with WRF. CONCLUSIONS: Worsening renal function occurs frequently among hospitalized HF patients and is associated with significantly worse outcomes. Clinical characteristics available at hospital admission can be used to identify patients at increased risk for developing WRF.     

Physician specialty and mortality among elderly patients hospitalized with heart failure

BACKGROUND: Whether specialty care improves survival among patients with heart failure remains controversial. METHODS: We evaluated specialty care and outcomes in 25869 Medicare beneficiaries hospitalized with heart failure in the United States from 1998 through 1999. Patients were classified based on the specialty of their attending physician: cardiologist, internist, general physician, or family physician. The primary outcome of interest was all-cause mortality within 30 days of admission. RESULTS: Cardiologists were attending physicians for 26%, internists for 50%, and general and family physicians cared for the remainder. Mortality at 30 days was lowest for patients cared for by cardiologists (8.8%), higher for patients cared for by internists (10.0%, relative risk [RR] = 1.07; 95% confidence interval [CI]: 0.97 to 1.19; P = 0.059) and general physicians (11.1%, RR = 1.26; 95% CI: 0.99 to 1.58; P = 0.086), and highest for patients cared for by family physicians (12.0%, RR = 1.31; 95% CI: 1.15 to 1.49; P <0.001). Patients cared for by family physicians remained at higher 30-day mortality rates whether with (RR = 1.30; 95% CI: 1.11 to 1.52) or without consultation with cardiologists (RR = 1.31; 95% CI: 1.13 to 1.52). CONCLUSION: Hospitalized patients with heart failure had lower 30-day mortality when treated by cardiologists than when they were treated by other physicians. Although these differences were modest (RR = 1.07) for internists, they were substantial for general physicians (RR = 1.26) and family physicians (RR = 1.31); of note was that inpatient cardiology consultation did not appear to change this relation.     

Relationship of medication adherence and quality of life among heart failure patients

Background

Little is known regarding the relationship between medication adherence and quality of life in heart failure patients. We therefore aimed to examine the nature of relationship between medication adherence and quality of life.

Adherence to evidence-based guidelines for heart failure in physicians and their patients: lessons from the Heart Failure Adherence Retention Trial (HART)

The Heart Failure Adherence and Retention Trial (HART) provided an opportunity to determine adherence to evidence-based guidelines (EBG) in patients with heart failure (HF). Ten hospitals were the source of 692 patients with HF (EF < 40%). Physicians of patients with HF were classified as adherent to EBG if the patient chart audit showed they were on a beta-blocker, ACE-inhibitor (ACE-I), or angiotensin receptor blocker (ARB). Patients were classified as adherent to EBG if MEMS pill caps were used appropriately more than 80% of the time. Sixty-three percent of physicians prescribed evidence-based medications that were adherent to clinical practice guidelines. New York Heart Association (NYHA) III patients were less likely to be adherent (P < 0.001), as were those with renal disease (P < 0.001) and asthmatics (P < 0.001). Nonadherent physicians were less likely to treat patients with beta-blockers (39% vs 98%, P < 0.001) and ACE-I or ARBs (71% vs 98% P < 0.001). Thirty-seven percent of patients prescribed evidence-based therapy failed to use the MEMS pill cap bottles appropriately and were more likely a minority or higher NYHA class. Adherence to evidence-based therapy is less than optimal in HF patients based on a combination of both physician and patient nonadherence.     

Measures of heart period variability as predictors of mortality in hospitalized patients with decompensated congestive heart failure

Depressed heart rate variability (HRV) is a powerful independent predictor of a poor outcome in patients with chronic and stable congestive heart failure (CHF). However, the prognostic value of HRV analysis in patients hospitalized for decompensated CHF is not known. The aim of this study was to investigate whether HRV parameters obtained during admission for decompensated CHF could predict survival after hospital discharge. We studied 199 patients (131 men, aged 60 +/- 14 years) with a previous diagnosis of New York Heart Association class III or IV CHF who were admitted to the hospital for decompensated CHF. Twenty-four-hour Holter recordings were obtained on admission, and measures of HRV were calculated in the time and frequency domain. During a mean follow-up of 312 +/- 150 days, 40 patients (21.1%) died. Kaplan-Meier analysis indicated that patients with SD of the RR intervals over a 24-hour period (p = 0.027), SD of all 5-minute mean RR intervals (p = 0.043), total power (p = 0.022), and ultra-low-frequency power (p = 0.008) in the lower tertile were at a higher risk of death. In a multivariate Cox regression model, the same indexes in the lower tertile were independent predictors of mortality: SD of the RR intervals over a 24-hour period (risk ratio [RR] 2.2, 95% confidence interval [CI] 1.05 to 4.3, p = 0.036), SD of all 5-minute mean RR intervals (RR 2.1, 95% CI 1.05 to 4.2, p = 0.04), total power (RR 2.2, 95% CI 1.08 to 4.2, p = 0.03), and ultra-low-frequency power (RR 2.6, 95% CI 1.3 to 5.3, p = 0.007). Therefore, the severity of autonomic perturbations during hospital admission for CHF decompensation, as reflected by measures of overall HRV, can predict survival after hospital discharge. Together with previous studies, our findings suggest that indexes of overall HRV provide useful prognostic information in the full spectrum of CHF severity.