Extending the Horizon in Chronic Heart Failure

Inglis, Sally C.; Pearson, Sue; Treen, Suzette; Gallasch, Tamara; Horowitz, John D.; Stewart, Simon

doi:10.1161/circulationaha.106.638122

Cited by 107 publications

(23 citation statements)

References 37 publications

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“…In the USA, the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure registry20 revealed 60–90 day event rates of 36.1% in HF with reduced ejection fraction (HFrEF) and 35.3% in HF with preserved ejection fraction (HFpEF). The high rate of primary outcome may be due to old age and the high prevalence of co‐morbidities 19. This is also similar to mortality rates in the same region from a previous study 21…”

Section: Discussionsupporting

confidence: 87%

“…In Australia, Stewart et al . 's randomized controlled trial of home‐based intervention showed a 1 year event rate (death or unplanned readmission) of 74% in the usual care arm and 57% in the home‐based intervention 19. In Australia, Robertson et al 7.…”

Section: Discussionmentioning

confidence: 99%

“…Co‐morbidities can cause HF, lead to exacerbations of HF, or can affect patient adherence to medication 39. Greater co‐morbidities were a predictor of mortality or readmission 19. Interestingly, mortality was less in HF patients residing in regional areas compared with metropolitan areas (odds ratio = 0.92, P = 0.042).…”

Section: Discussionmentioning

confidence: 99%

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Outcomes following heart failure hospitalization in a regional Australian setting between 2005 and 2014

et al. 2017

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AimsThe aim of the current study is to examine 10 year trends in mortality and readmission following heart failure (HF) hospitalization in metropolitan and regional Australian settings.Methods and resultsWe identified all index HF hospitalizations in the Hunter New England region from 2005 to 2014, using a 10 year ‘look back’ period. The primary endpoint was a composite of all‐cause mortality or all‐cause readmission at 1 year. Secondary endpoints included all‐cause mortality, all‐cause readmission, and HF readmission at 30 days and 1 year. We used logistic regression to explore the predictors of the composite outcome of either all‐cause death or readmission at 1 year. There were 12 114 patients admitted with a first episode of HF between 2005 and 2014, followed up until death or the end of 2015. The mean age was 78 ± 12 years and 49% (n = 5906) were male. A total of 4831 (40%) resided in regional areas and the remainder in metropolitan areas. One hundred sixty‐eight patients (1.4%) were Aboriginal. Approximately 69% of patients had either died or been readmitted for any cause within 12 months of their index event. The 30 day and 1 year all‐cause mortality rates were 13% and 32%, respectively, with no change in the trend over the study period. Age, socio‐economic disadvantage, ischaemic heart disease, renal failure, and chronic lower respiratory disease were predictors of the primary endpoint.ConclusionsHeart failure hospitalizations are followed by high rates of death or readmission. There was no change in this composite endpoint over the 10 year study period.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 99%

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Outcomes following heart failure hospitalization in a regional Australian setting between 2005 and 2014

et al. 2017

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“…In a study on the health-economic performance of cardiac rehabilitation for 10 years, the cost required to gain an additional life-year is US $806 among patients undergoing cardiac rehabilitation, which is lower than the US $1,073 required for patients without cardiac rehabilitation (Table 64). 335 In another study where the cost-effectiveness of a 14-month exercise training program in patients with stable chronic heart failure, the cost required to gain an additional life-year was higher in patients with cardiac rehabilitation than in those without it. These findings indicated that longer exercise training is more cost-effective.…”

Section: Introductionmentioning

confidence: 98%

Guidelines for Rehabilitation in Patients With Cardiovascular Disease (JCS 2012)

2014

Circ J

244

150

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“…Several studies have shown that HF programs involving a multidisciplinary team result in improved clinical outcomes of patients. 90 Such programs improve treatment adherence rates, ensure self-care management and facilitate access to supportive services. The prevalence of HFPEF increases with aging, 3 and these programmes may provide benefits particularly in the elderly population.…”

Section: Non-pharmacological Therapymentioning

confidence: 99%