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Background. Iron deficiency (ID) is a significant, high-prevalence comorbidity in chronic heart failure (HF) that represents an independent predictor of a worse prognosis. However, a clear-cut diagnosis of ID in HF patients is not assured. The soluble transferrin receptor (sTfR) is a marker that reflects tissue-level iron demand and may be an early marker of ID. However, the impact of sTfR levels on clinical outcomes in non-anemic HF patients with a normal systemic iron status has never been evaluated. Methods. This is a post hoc analysis of an observational, prospective cohort study of 1236 patients with chronic HF of which only those with normal hemoglobin levels and a normal systemic iron status were studied. The final cohort consisted of 215 patients. Tissue ID was defined as levels of sTfR > 75th percentile (1.65 mg/L). Our aim was to describe the association between sTfR and clinical outcomes (all-cause death and HF hospitalization) and to explore its association with a wide array of serum biomarkers. Results. The sTfR level (HR 1.48, 95% CI 1.13–1.96, p = 0.005) and tissue ID (HR 2.14, 95% CI 1.22–3.75, p = 0.008) was associated with all-cause death. However, we found no association between sTfR levels and the risk of HF hospitalization. Furthermore, high sTfR levels were associated with a worse biomarker profile indicating myocardial damage (troponin and NT-proBNP), systemic inflammation (CRP and albumin), and impaired erythropoiesis (erythropoietin). Conclusions. In this cohort, the presence of tissue ID defined by sTfR levels is an independent factor for all-cause death in patients with normal systemic iron parameters. [ABSTRACT FROM AUTHOR]

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Background: 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.Methods and Results: 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.Conclusions: Among patients managed in the setting of a comprehensive HF programme, the addition of telemedicine may result in better outcomes and reduction of costs. [ABSTRACT FROM AUTHOR]