Substantial between-hospital variation in outcome following first emergency admission for heart failure

Use of hospital services by age and comorbidity after an index heart failure admission in England: an observational study

OBJECTIVES

To describe hospital inpatient, emergency department (ED) and outpatient department (OPD) activity for patients in the year following their first emergency admission for heart failure (HF). To assess the proportion receiving specialist assessment within 2 weeks of hospital discharge, as now recommended by guidelines.

DESIGN

Observational study of national administrative data.

SETTING

All acute NHS hospitals in England.

PARTICIPANTS

82 241 patients with an index emergency admission between April 2009 and March 2011 with a primary diagnosis of HF.

MAIN OUTCOME MEASURES

Cardiology OPD appointment within 2 weeks and within a year of discharge from the index admission; emergency department (ED) and inpatient use within a year.

RESULTS

15.1% died during the admission. Of the 69 848 survivors, 19.7% were readmitted within 30 days and half within a year, the majority for non-HF diagnoses. 6.7% returned to the ED within a week of discharge, of whom the majority (77.6%) were admitted. The two most common OPD specialties during the year were cardiology (24.7% of the total appointments) and anticoagulant services (12.5%). Although half of all patients had a cardiology appointment within a year, the proportion within the recommended 2 weeks of discharge was just 6.8% overall and varied by age, from 2.4% in those aged 90+ to 19.6% in those aged 18-45 (p<0.0001); appointments in other specialties made up only some of the shortfall. More comorbidity at any age was associated with higher rates of cardiology OPD follow-up.

CONCLUSIONS

Patients with HF are high users of hospital services. Postdischarge cardiology OPD follow-up rates fell well below current National Institute for Health and Care Excellence guidelines, particularly for the elderly and those with less comorbidity.

Improving care for patients with acute heart failure: before, during and after hospitalization

Acute heart failure (AHF) is a common and serious condition that contributes to about 5% of all emergency hospital admissions in Europe and the USA. Here, we present the recommendations from structured discussions among an author group of AHF experts in 2013. The epidemiology of AHF and current practices in diagnosis, treatment, and long-term care for patients with AHF in Europe and the USA are examined. Available evidence indicates variation in the quality of care across hospitals and regions. Challenges include the need for rapid diagnosis and treatment, the heterogeneity of precipitating factors, and the typical repeated episodes of decompensation requiring admission to hospital for stabilization. In hospital, care should involve input from an expert in AHF and auditing to ensure that guidelines and protocols for treatment are implemented for all patients. A smooth transition to follow-up care is vital. Patient education programmes could have a dramatic effect on improving outcomes. Information technology should allow, where appropriate, patient telemonitoring and sharing of medical records. Where needed, access to end-of-life care and support for all patients, families, and caregivers should form part of a high-quality service. Eight evidence-based consensus policy recommendations are identified by the author group: optimize patient care transitions, improve patient education and support, provide equity of care for all patients, appoint experts to lead AHF care across disciplines, stimulate research into new therapies, develop and implement better measures of care quality, improve end-of-life care, and promote heart failure prevention.

Knowledge Editor and execution engine development for optimal ventricular assist device weaning

In this work, the weaning module of the SensorART specialist decision support system (SDSS) is presented. SensorART focuses on the treatment of patients suffering from end-stage heart failure (HF). The use of a ventricular assist device (VAD) is the main treatment for HF patients. However in certain cases, myocardial function recovers and VADs can be explanted after the patient is weaned. In that framework an efficient module is developed responsible for the selection of the most suitable candidates for VAD weaning. In this study we describe all technical specifications concerning its two main sub-modules of the weaning module, of the Clinical Knowledge Editor and the Knowledge Execution Engine.

Heart failure services in the United Kingdom: rethinking the machine bureaucracy

Poor outcomes and poor uptake of evidence based therapies persist for patients with heart failure in the United Kingdom. We offer a strategic analysis of services, defining the context, organization and objectives of the service, before focusing on implementation and performance. Critical flaws in past service development and performance are apparent, a consequence of failed performance management, policy and political initiative. The barriers to change and potential solutions are common to many health care systems. Integration, information, financing, incentives, innovation and values: all must be challenged and improved if heart failure services are to succeed. Modern healthcare requires open adaptive systems, continually learning and improving. The system also needs controls. Performance indicators should be simple, clinically relevant, and outcome focused. Heart failure presents one of the greatest opportunities to improve symptoms and survival with existing technology. To do so, heart failure services require radical reorganization.

Successful weaning and explantation of the Heartmate II left ventricular assist device

BACKGROUND

Ventricular assist devices (VADs) are used in cases of heart failure refractory to medical therapy. Most VADs are used as a bridge to heart transplantation; however, in certain cases, myocardial function recovers and VADs can be explanted after the patient is weaned. The objectives of this study were to describe patients who required Heartmate II VAD insertion, followed by myocardial recovery and explanation in a quaternary heart centre.

METHODS

Patients who had a VAD explanted were identified in the mechanical support institutional database and their outcomes were analyzed. Clinical examinations, biochemical markers, and serial echocardiograms were used to demonstrate myocardial recovery.

RESULTS

Seventeen patients had a Heartmate II VAD inserted between 2008 and 2010. Four patients underwent successful weaning and subsequent VAD explantation. Etiology of decompensated heart failure was idiopathic dilated cardiomyopathy (n = 1), ischemic (n = 1), or myocarditis (n = 2). Mean age was 35.3 years. Patients were supported for 213 days (range 70-293 days) and were in New York Heart Association class I in the community before explantation. The devices were explanted via a minimally invasive approach, without cardiopulmonary bypass. All patients survived explantation and were discharged alive from hospital after an average of 5.7 ± 1.5 days post pump explantation. No adverse events were reported after explantation. Only one patient required allogenic blood transfusion after the procedure.

CONCLUSIONS

Patients requiring VAD support for myocardial failure can undergo significant reverse remodelling. Explantation can lead to optimal outcome with minimal morbidity. Methods for assessment of reverse remodelling, weaning protocol, and optimal timing of explantation remain under evaluation.

Psychiatric comorbidity and mortality among veterans hospitalized for congestive heart failure

A Behavioral Model of Health Services Utilization approach was used to examine the impact of comorbid mental illness on mortality of veterans admitted to Veterans Affairs medical centers in fiscal year 2001 with a primary diagnosis of congestive heart failure (n = 15,497). Thirty percent had a psychiatric diagnosis, 4.7% died during the index hospitalization, and 11.5% died during the year following discharge. Among those with mental illness, 23.6% had multiple psychiatric disorders. Multivariable logistic regression models found dementia to be positively associated with inpatient mortality. Depression alone (excluding other psychiatric disorders) was positively associated with one-year mortality. Primary care visits were associated with a reduced likelihood of both inpatient and one-year mortality. Excepting dementia, VA patients with a mental illness had comparable or higher levels of primary care visits than those having no mental illness. Patients with multiple psychiatric disorders had more outpatient care than those with one psychiatric disorder.

A Simple Clinically Based Predictive Rule for Heart Failure In-Hospital Mortality

BACKGROUND

Scarce data are available to predict in-hospital mortality for decompensated heart failure (HF) in South American populations.

METHODS AND RESULTS

We evaluated 779 consecutive HF admissions defined by the Boston criteria in a tertiary care hospital. Stepwise logistic regression was used to determine independent correlates of in-hospital mortality, derived from 83 potential predictors collected on hospital admission. A clinical score rule (HF Revised Score) was created using the regression coefficient estimates derived from multivariate modeling. During hospital stay, 77 (10%) deaths occurred and 6 clinical characteristics were independently associated with in-hospital mortality: presence of cancer (P < .001), systolic blood pressure < or =124 mm Hg (P < .001), serum creatinine >1.4 mg/dL (P = .02), blood urea nitrogen >37 mg/dL (P = .03), serum sodium <136 mEq/L (P = .03), and age >70 years old (P = .03). Both the Acute Decompensated Heart Failure National Registry stratification algorithm and the proposed HF Revised Score performed adequately to predict in-hospital mortality ("c" statistics = 0.71 and 0.76, respectively). The newly proposed score, however, discriminated a very low-risk group (101 [13%]) in whom all patients were discharged home, representing patients admitted with none of the 6 predictors of risk.

CONCLUSION

HF risk stratification can be accurately accomplished during the first day of admission with simple and easily obtained clinical variables.

Rationale and design of the National Benchmarking and Evidence-based National Clinical Guidelines for Chronic Heart Failure Management Programs Study

OBJECTIVES

The National Benchmarks and Evidence-Based National Clinical Guidelines for Heart Failure Management Programs Study is a national, multicenter study designed to determine the nature, range, and effect of interventions applied by chronic heart failure management programs (CHF-MPs) throughout Australia on patient outcomes. Its primary objective is to use these data to develop national benchmarks and evidence-based clinical guidelines and optimize their cost-effective application by reducing quality and outcome variability.

DATA SOURCES/STUDY SETTING

Primary data will be collected from CHF-MP coordinators and CHF patients enrolled in these programs on a national basis. Secondary outcome data will be collected from a national morbidity record and from patients' medical records.

STUDY DESIGN

Stage I of the study involves a prospective clinical audit of all CHF-MPs throughout Australia (n = 45) to determine the extent of variability in programs currently. Stage II is a prospective cross-sectional survey design enrolling 1,500 patients (average of 40 patients per program) to firstly determine the typical profile of patients being managed via a CHF-MP in Australia and, secondly, the subsequent morbidity and mortality during the 6-month follow-up. Outcome data will be subject to multivariate analysis to determine the key components of care in this regard. All study data will be then examined in the final stage of the study (III) to develop national benchmarks for the application and auditing of CHF-MPs in Australia.

CONCLUSION

Variability in patient outcomes is a product of heterogeneity among CHF-MPs. The development of national benchmarks will minimize such heterogeneity and will provide a greater level of evidence for their cost-effective application.

The association of the heart failure score with mortality and heart failure hospitalizations in elderly patients: insights from the Mode Selection Trial (MOST)

BACKGROUND

Patient and physician preferences as well as cost favor an increasingly higher threshold for hospital admission for heart failure (HF) treatment. This trend risks masking the severity and prevalence of HF as hospitalization for HF may decrease.

METHODS

Heart Failure Score (HFS) has 4 ordinal subscales assessing (1) HF symptoms, physical signs of left (2) and (3) right HF, and (4) therapy changes for HF. Heart Failure Score was calculated for 1257 of 2010 (63%) patients enrolled in the MOST trial in sinus node dysfunction, who survived and had complete first-year HFS data at 4 postpacemaker implant visits (1, 3, 6, and 12 months). Heart Failure Score was summed and ranged from 0 to 14, with lower scores representing less HF.

RESULTS

There were 1257 patients (median age 74 years [interquartile range 68-79], 47% were women, 61% had hypertension, 20%, diabetes mellitus, and 23%, prior myocardial infarction). The median HFS accumulated during 1 year was 4 (interquartile range 1-8). Of patients with a benign first year, those with a higher HFS were more likely to die during subsequent follow-up compared with patients with lower HFS (hazard ratio 1.07, 95% CI 1.04-1.10 for each 1-point increase, P < .001).

CONCLUSIONS

Increasing HFS is associated with an increased risk of mortality in mostly elderly patients without pre-existing HF. Heart Failure Score may be a useful surrogate HF end point for clinical trials.

Definition and epidemiology of acute heart failure syndromes

Heart failure (HF) has emerged as a major public health issue and is among the most significant causes of morbidity and mortality for older adults in Western countries. Acute HF syndromes (AHFS) encompass many important etiologies and comorbidities. There are several different clinical definitions and classifications of AHFS that are based on their clinical picture and pathophysiology. These definitions and classifications should, at best, serve to individually tailor diagnostics and therapy. Another important application of these definitions and classifications is to help guide future clinical trials in AHFS. The epidemiology of AHFS has been studied in large and small registries and surveys in both North America and Europe. The properties of the population of patients with acute HF are discussed in light of these data.

How many patients with heart failure are eligible for cardiac resynchronization? Insights from two prospective cohorts

AIMS

To determine what proportion of patients with heart failure are eligible for cardiac resynchronization therapy (CRT).

METHODS AND RESULTS

Eligibility criteria from the trials establishing the efficacy of CRT were applied to two prospective cohorts: the first enrolled patients with newly diagnosed heart failure discharged from 103 hospitals between April 1999 and March 2001 ('the hospital discharge cohort'); the second enrolled patients seen in a specialized clinic between August 2003 and January 2004 ('the specialty clinic cohort'). In the hospital discharge cohort, 73 patients (3% of the 2640 patients with ischaemic or dilated cardiomyopathy and 1% of all 9096 patients with heart failure discharged alive) met trial eligibility criteria: LVEF< or =0.35, QRS > or =120 ms, sinus rhythm, and NYHA class III or IV symptoms despite the treatment with ACE-inhibitor/angiotensin receptor blocker and beta-blocker. In the specialty clinic cohort, 54 patients (21% of the 263 patients with ischaemic or dilated cardiomyopathy and 17% of all 309 patients with heart failure) met these criteria. If persistent symptoms despite taking spironolactone were required for CRT eligibility, then the proportions qualifying dropped to 1% in the hospital discharge cohort and 18% in the specialty clinic cohort.

CONCLUSION

Few heart failure patients meet trial eligibility criteria for CRT.

Assessing the impact of heart failure specialist services on patient populations

Background

The assessment of the impact of healthcare interventions may help commissioners of healthcare services to make optimal decisions. This can be particularly the case if the impact assessment relates to specific patient populations and uses timely local data. We examined the potential impact on readmissions and mortality of specialist heart failure services capable of delivering treatments such as b-blockers and Nurse-Led Educational Intervention (N-LEI).

Methods

Statistical modelling of prevented or postponed events among previously hospitalised patients, using estimates of: treatment uptake and contraindications (based on local audit data); treatment effectiveness and intolerance (based on literature); and annual number of hospitalization per patient and annual risk of death (based on routine data).

Results

Optimal treatment uptake among eligible but untreated patients would over one year prevent or postpone 11% of all expected readmissions and 18% of all expected deaths for spironolactone, 13% of all expected readmisisons and 22% of all expected deaths for b-blockers (carvedilol) and 20% of all expected readmissions and an uncertain number of deaths for N-LEI. Optimal combined treatment uptake for all three interventions during one year among all eligible but untreated patients would prevent or postpone 37% of all expected readmissions and a minimum of 36% of all expected deaths.

Conclusion

In a population of previously hospitalised patients with low previous uptake of b-blockers and no uptake of N-LEI, optimal combined uptake of interventions through specialist heart failure services can potentially help prevent or postpone approximately four times as many readmissions and a minimum of twice as many deaths compared with simply optimising uptake of spironolactone (not necessarily requiring specialist services). Examination of the impact of different heart failure interventions can inform rational planning of relevant healthcare services.