Heart Failure Hospitalisations in the Hunter New England Area Over 10 years. A Changing Trend

Imaging Early Life Cardiovascular Phenotype

The growing epidemics of obesity, hypertension, and diabetes, in addition to worsening environmental factors such as air pollution, water scarcity, and climate change, have fueled the continuously increasing prevalence of cardiovascular diseases (CVDs). This has caused a markedly increasing burden of CVDs that includes mortality and morbidity worldwide. Identification of subclinical CVD before overt symptoms can lead to earlier deployment of preventative pharmacological and nonpharmacologic strategies. In this regard, noninvasive imaging techniques play a significant role in identifying early CVD phenotypes. An armamentarium of imaging techniques including vascular ultrasound, echocardiography, magnetic resonance imaging, computed tomography, noninvasive computed tomography angiography, positron emission tomography, and nuclear imaging, with intrinsic strengths and limitations can be utilized to delineate incipient CVD for both clinical and research purposes. In this article, we review the various imaging modalities used for the evaluation, characterization, and quantification of early subclinical cardiovascular diseases.

Patient characteristics, short-term and long-term outcomes after incident heart failure admissions in a regional Australian setting

AIMS

This study aims to (1) define the characteristics of patients with a first admission for heart failure (HF), stratified by type (reduced (HFrEF) vs preserved (HFpEF) ejection fraction) in a regional Australian setting; (2) compare the outcomes in terms of mortality and rehospitalisation and (3) assess adherence to the treatment guidelines.

METHODS

We identified all index hospitalisations with HF to John Hunter Hospital and Tamworth Rural Referral Hospital in the Hunter New England Local Health District over a 12 months. We used the recent Australian HF guidelines to classify HFrEF and HFpEF and assess adherence to guideline-directed therapy. The primary outcome of the study was to compare short-term (1 year) and long-term all-cause mortality and the composite of all-cause hospitalisation or all-cause mortality of patients with HFrEF and HFpEF.

RESULTS

There were 664 patients who had an index HF admission to John Hunter and Tamworth hospitals in 2014. The median age was 80 years, 47% were female and 22 (3%) were Aboriginal. In terms of HF type, 29% had HFrEF, 37% had HFpEF, while the remainder (34%) did not have an echocardiogram within 1 year of admission and could not be classified. The median follow-up was 3.3 years. HFrEF patients were predominantly male (64%) and in 48% the aetiology was ischaemic heart disease. The 1-year all-cause mortality was 23% in HFpEF subgroup and 29% in HFrEF subgroup (p=0.15). Five-year mortality was 61% in HFpEF and HFrEF patients. Of the HFrEF patients, only 61% were on renin-angiotensin-aldosterone blockers, 74% were on β-blockers and 39% were on aldosterone antagonist.

CONCLUSION

HF patients are elderly and about evenly split between HFrEF and HFpEF. In this regional cohort, both HF types are associated with similar 1-year and 5-year mortality following incident HF hospitalisation. Echocardiography and guideline-directed therapies were underused.

Management of Acute Decompensated Heart Failure in Rural Versus Metropolitan Settings: An Australian Experience

BACKGROUND

Acute decompensated heart failure (ADHF) is the most common cause of hospital admission in patients over 65, with poorer outcomes demonstrated in rural versus metropolitan areas. The aim of this study was to compare the in-hospital and post-discharge management of ADHF patients admitted to rural versus metropolitan hospitals in Victoria.

METHODS

Data from the Victorian Cardiac Outcomes Registry, Heart Failure (VCOR-HF) project was used. This was a prospective, observational, non-randomised study of consecutive patients admitted to participating hospitals in Victoria, Australia, with ADHF as their primary diagnosis over four 30-day periods during consecutive years. All patients were followed up for 30 days post discharge.

RESULTS

1,357 patients (1,260 metropolitan, 97 rural) were admitted to study hospitals with ADHF during the study periods. Cohorts were similar in age (average 76.87±13.12 years) and percentage of male gender (56.4% overall). Metropolitan patients were more likely to have diabetes (44.4% vs 34.0%, p=0.046), kidney disease (65.8% vs 37.1%, p<0.01) and anaemia (31.9% vs 19.6%, p=0.01). There was no significant difference in length of stay between metropolitan and rural patients (7.49 vs 6.37 days, p=0.12). There was no significant difference between metropolitan and rural patients in 30-day rehospitalisations (19.1% vs 11.6%, p=0.07, respectively) and all-cause 30-day mortality (8.2% vs 4.1%, p=0.15, respectively). Metropolitan patients were significantly more likely to have seen their general practitioner (GP) (68.1% vs 53.2%, p<0.01) or attend an outpatient clinic (35.9% vs 10.6%, p<0.01) by 30 days. There was no significant difference in number of days to follow-up of any kind between groups. Referrals to a heart failure home visiting program remained low overall (19.9%).

CONCLUSION

There was no significant difference in 30-day rehospitalisations or mortality between patients admitted to rural versus metropolitan hospitals. Geographical discrepancies were noted in follow-up by 30 days, with significantly more metropolitan patients having seen a doctor by 30 days post-discharge. Overall follow-up rates remain suboptimal.

Heart failure outcomes in Aboriginal and Torres Strait Islander peoples in the Hunter New England region of New South Wales

Background Aboriginal and Torres Strait Islander suffer poor health outcomes, driven predominately by cardiovascular disease. Previous work has focused on remote communities although majority of Aboriginal and Torres Strait Islander patients live in urban New South Wales. We describe the heart failure characteristics and outcomes of the Aboriginal and Torres Strait Islander patients in Hunter New England Health, New South Wales, Australia. Methods A large retrospective, multi-centre cohort study from 2007 till 2016 in a geographically diverse Local Health District. The primary outcomes were all-cause mortality and all-cause readmission. The Aboriginal and Torres Strait Islander cohort was described by demographics, locality, and outcomes relative to the non-Indigenous patients from the same time period. Findings During the study period there were 20,480 index admissions, of which 3.1% identified as Aboriginal and/or Torres Strait Islander. Aboriginal and Torres Strait Islander people admitted were younger by an average of 15 years (81 vs 66 years, p < 0.001), were more likely to live in a non-metropolitan locality (80 vs 61%, p < 0.001). Once adjustments were made for age, there was no significant difference in all-cause mortality. Indigenous status was a strong predictor of readmission on multivariate analysis, hazard ratio of 1.31 (p < 0.001). Interpretation Aboriginal and Torres Strait Islander patients, compared to non-Indigenous patients, who are admitted with heart failure are younger, more commonly live in rural localities and suffer from a higher burden of comorbidities. Once adjustments are made for age and co-morbidities, indigenous status does not portend a worse outcome.

Does community size or commute time affect severity of illness at diagnosis or quality of care in a centralized care model of pulmonary hypertension?

BACKGROUND

Centralized care models are often used for rare diseases like pulmonary hypertension (PH). It is unknown how living in a rural or remote area influences outcomes.

METHODS

We identified all patients from our PH database who carried a diagnosis of WHO Group 1 or WHO Group 4 PH. Using Canadian postal code data, patients were classified as living in a rural area; or a small, medium or large community size. The commute time from patient residence to our clinic was determined using mapping software. We compared baseline catheterization data according to community size and commute time. At follow up, we evaluated the association between community size and commute time with prognostic parameters of functional class, walk distance and echocardiography.

RESULTS

Of the 342 patients identified, 72(21%) patients lived in rural areas, while 26(8%), 49(14%) and 195(57%) resided in small, medium and large population centres, respectively. The commute time was <1 h for 160(47%), 1-3 h for 62(18%), and >3 h for 120(35%). There was no association seen for any catheterization parameter by either community size or commute time. At last follow up, there was no association between any prognostic parameter and community size or commute time.

CONCLUSIONS

We found no association between community size or commute time with severity of illness at diagnosis, or markers of prognosis at follow up. This suggests that patients who reside in rural or remote environments are not experiencing deficiencies in care compared to urban patients.

Humanistic burden and economic impact of heart failure – a systematic review of the literature

Background: Heart failure (HF) is increasing in prevalence worldwide. This systematic review was conducted to inform understanding of its humanistic and economic burden. Methods: Electronic databases (Embase, MEDLINE®, and Cochrane Library) were searched in May 2017. Data were extracted from studies reporting health-related quality of life (HRQoL) in 200 patients or more (published 2007–2017), or costs and resource use in 100 patients or more (published 2012–2017). Relevant HRQoL studies were those that used the 12- or 36-item Short-Form Health Surveys, EuroQol Group 5-dimensions measure of health status, Minnesota Living with Heart Failure Questionnaire or Kansas City Cardiomyopathy Questionnaire. Results: In total, 124 studies were identified: 54 for HRQoL and 71 for costs and resource use (Europe: 25/15; North America: 24/50; rest of world/multinational: 5/6). Overall, individuals with HF reported worse HRQoL than the general population and patients with other chronic diseases. Some evidence identified supports a correlation between increasing disease severity and worse HRQoL. Patients with HF incurred higher costs and resource use than the general population and patients with other chronic conditions. Inpatient care and hospitalizations were identified as major cost drivers in HF. Conclusions: Our findings indicate that patients with HF experience worse HRQoL and incur higher costs than individuals without HF or patients with other chronic diseases. Early treatment of HF and careful disease management to slow progression and to limit the requirement for hospital admission are likely to reduce both the humanistic burden and economic impact of HF.

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

AIMS

The 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 RESULTS

We 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.

CONCLUSIONS

Heart 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.

Mortality and Readmission Following Hospitalisation for Heart Failure in Australia: A Systematic Review and Meta-Analysis

BACKGROUND

Heart failure (HF) is a common, costly condition with an increasing burden on Australian health care system resources. Knowledge of the burden of HF on patients and on the health system is important for resource allocation. This study is the first systematic review to estimate the mortality and readmission rates after hospitalisation for HF in the Australian population.

METHODS

We searched for studies of HF hospitalisation in Australia published between January 1990 and May 2016, using a systematic search of PubMed, Medline, Scopus, Web of Science, EMBASE and Cochrane Library databases. Studies reporting 30-day and/or 1-year outcomes for mortality or readmission following hospitalisation were eligible and included in this study.

RESULTS

Out of 2889 articles matching the initial search criteria, a total of 13 studies representing 67,255 patients were included in the final analysis. The pooled mean age of heart failure patients was 76.3 years and 51% were male (n=34,271). The pooled estimated 30-day and 1-year all-cause mortality were 8% and 25% respectively. The pooled estimated 30-day and 1-year all-cause readmission rates were 20% and 56% respectively. There is a high prevalence of comorbidities in heart failure patients. There were limited data on readmission and mortality in rural patients and Indigenous people.

CONCLUSIONS

Heart failure hospitalisations in Australia are followed by substantial readmission and mortality rates.