Aims Heart failure (HF) is one of the diseases with greater healthcare expenditure. However, little is known about the cost of HF at a population level. Hence, our aim was to study the population-level distribution and predictors of healthcare expenditure in patients with HF. Methods and results This was a population-based longitudinal study including all prevalent HF cases in Catalonia (Spain) on 31 December 2012 (n = 88 195). We evaluated 1-year healthcare resource use and expenditure using the Health Department (CatSalut) surveillance system that collects detailed information on healthcare usage for the entire population. Mean age was 77.4 (12) years; 55% were women. One-year mortality rate was 14%. All-cause emergency department visits and unplanned hospitalizations were required at least once in 53.4% and 30.8% of patients, respectively. During 2013, a total of €536.2 million were spent in the care of HF patients (7.1% of the total healthcare budget). The main source of expenditure was hospitalization (39% of the total) whereas outpatient care represented 20% of the total expenditure. In the general population, outpatient care and hospitalization were the main expenses. In multivariate analysis, younger age, higher presence of co-morbidities, and a recent HF or all-cause hospitalization were independently associated with higher healthcare expenditure. Conclusions In Catalonia, a large portion of the annual healthcare budget is devoted to HF patients. Unplanned hospitalization represents the main source of healthcare-related expenditure. The knowledge of how expenditure is distributed in a non-selected HF population might allow health providers to plan the distribution of resources in patients with HF.

Heart failure (HF) is frequent and its prevalence is increasing. We aimed to evaluate the epidemiologic features of HF patients, the 1-year follow-up outcomes and the independent predictors of those outcomes at a population level. Population-based longitudinal study including all prevalent HF cases in Catalonia (Spain) on December 31st, 2012. Patients were divided in 3 groups: patients without a previous HF hospitalization, patients with a remote (>1 year) HF hospitalization and patients with a recent (<1 year) HF admission. We analyzed 1year all-cause and HF hospitalizations, and all-cause mortality. Logistic regression was used to identify the independent predictors of each of those outcomes. A total of 88,195 patients were included. Mean age was 77 years, 55% were women. Comorbidities were frequent. Fourteen percent of patients had never been hospitalized, 71% had a remote HF hospitalization and 15% a recent hospitalization. At 1-year follow-up, all-cause and HF hospitalization were 53% and 8.8%, respectively. One-year all-cause mortality rate was 14%, and was higher in patients with a recent HF hospitalization (24%). The presence of diabetes mellitus, atrial fibrillation or chronic kidney disease was independently associated with all-cause and HF hospitalization and all-cause mortality. Hospital admissions and emergency department visits the previous year were also found to be independently associated with the three study outcomes. Outcomes are different depending on the HF population studied. Some comorbidity, an all-cause hospitalization or emergency department visit the previous year were associated with a worse outcome.

Aims Cardio‐oncology clinics optimise the cardiovascular status of cancer patients but there is a limited description of their structure, case mix, activity and results. The purpose of this paper is to describe the activity and outcomes of a cardio‐oncology service, particularly with respect to supporting optimal cancer treatment and survival. Methods and results We prospectively studied patients referred to our service from February 2011 to February 2016. New York Heart Association (NYHA) class and parameters of cardiac function were measured at baseline and after optimisation by our service. Up‐titration of cardiac treatment, continuation of cancer therapy and mortality were used as outcome measures. Of the 535 patients (55.8% females) referred, rates of cardiotoxicity for anthracyclines, anti‐HER2 agents and tyrosine kinase inhibitors were 75.8%, 69.8% and 62.1%, respectively. Patients with left ventricular systolic dysfunction (LVSD) (n =128) were younger, had higher rates of hypertension and previous exposure to chemotherapy/radiotherapy (P < 0.001). At a median follow‐up of 360 days, 93.8% of the patients with LVSD showed improvement in left ventricular ejection fraction (45% pre vs. 53% post; P < 0.001) and NYHA class (NYHA III–IV in 22% pre vs. 10% post; P = 0.01). All patients with normal left ventricular ejection fraction and biochemical or functional myocardial toxicity and 88% of patients with LVSD were deemed fit for continuation of cancer therapy after cardiovascular optimisation. Conclusions Through the establishment of a cardio‐oncology service, it is feasible to achieve high rates of cardiac optimisation and cancer treatment continuation.

The role of telemedicine in the management of patients with chronic heart failure (HF) has not been fully elucidated. We hypothesized that multidisciplinary comprehensive HF care could achieve better results when it is delivered using telemedicine. In this study, 178 eligible patients with HF were randomized to either structured follow-up on the basis of face-to-face encounters (control group, 97 patients) or delivering health care using telemedicine (81 patients). Telemedicine included daily signs and symptoms based on telemonitoring and structured follow-up by means of video or audio-conference. The primary end-point was non-fatal HF events after six months of follow-up. The median age of the patients was 77 years, 41% were female, and 25% were frail patients. The hazard ratio for the primary end-point was 0.35 (95% confidence interval (CI), 0.20–0.59; p-value < 0.001) in favour of telemedicine. HF readmission (hazard ratio 0.39 (0.19–0.77); p-value=0.007) and cardiovascular readmission (hazard ratio 0.43 (0.23–0.80); p-value=0.008) were also reduced in the telemedicine group. Mortality was similar in both groups (telemedicine: 6.2% vs control: 12.4%, p-value > 0.05). The telemedicine group experienced a significant mean net reduction in direct hospital costs of €3546 per patient per six months of follow-up. Among patients managed in the setting of a comprehensive HF programme, the addition of telemedicine may result in better outcomes and reduction of costs.