Long-term LVEF trajectories in patients with type 2 diabetes and heart failure: diabetic cardiomyopathy may underlie functional decline.

BACKGROUND: Left ventricular ejection fraction (LVEF) trajectories and functional recovery with current heart failure (HF) management is increasingly recognized. Type 2 diabetes mellitus (T2D) leads to a worse prognosis in HF patients. However, it is unknown whether T2D interferes with LVEF trajectories. The aim of this study was to prospectively assess very long-term (up to 15 years) LVEF trajectories in patients with and without T2D and underlying HF. METHODS: Ambulatory patients admitted to a multidisciplinary HF clinic were prospectively evaluated by scheduled two-dimensional echocardiography at baseline, 1 year, and then every 2 years afterwards, up to 15 years. Statistical analyses of LVEF change with time were performed using the linear mixed effects (LME) models, and locally weighted error sum of squares (Loess) curves were plotted. RESULTS: Of the 1921 patients, 461 diabetic and 699 non-diabetic patients with LVEF < 50% were included in the study. The mean number of echocardiography measurements performed in diabetic patients was 3.3 ± 1.6. Early LVEF recovery was similar in diabetic and non-diabetic patients, but Loess curves showed a more pronounced inverted U shape in diabetics with a more pronounced decline after 9 years. LME analysis showed a statistical interaction between T2D and LVEF trajectory over time (p = 0.009), which was statistically significant in patients with ischemic etiologies (p < 0.001). Other variables that showed an interaction between LVEF trajectories and T2D were male sex (p = 0.04) and HF duration (p = 0.008). CONCLUSIONS: LVEF trajectories in T2D patients with depressed systolic function showed a pronounced inverted U shape with a marked decline after 9 years. Diabetic cardiomyopathy may underlie the functional decline observed.

Telomere attrition in heart failure: a flow-FISH longitudinal analysis of circulating monocytes.

BACKGROUND: Cross-sectional investigations report shorter telomeres in patients with heart failure (HF); however, no studies describe telomere length (TL) trajectory and its relationship with HF progression. Here we aimed to investigate telomere shortening over time and its relationship to outcomes. METHODS: Our study cohort included 101 ambulatory patients with HF. Blood samples were collected at baseline (n = 101) and at the 1-year follow-up (n = 54). Using flow-FISH analysis of circulating monocytes, we simultaneously measured three monocyte subsets-classical (CD14++CD16-), intermediate (CD14++CD16+), and nonclassical (CD14+CD16++)-and their respective TLs based on FITC-labeled PNA probe hybridization. The primary endpoints were all-cause death and the composite of all-cause death or HF-related hospitalization, assessed at 2.3 ± 0.6 years. All statistical analyses were executed by using the SPSS 15.0 software, and included Student's t test and ANOVA with post hoc Scheffe analysis, Pearson or Spearman rho correlation and univariate Cox regression when applicable. RESULTS: We found high correlations between TL values of different monocyte subsets: CD14++CD16+ vs. CD14++CD16-, R = 0.95, p < 0.001; CD14++CD16+ vs. CD14+CD16++, R = 0.90, p < 0.001; and CD14++CD16- vs. CD14+CD16++, R = 0.89, p < 0.001. Mean monocyte TL exhibited significant attrition from baseline to the 1-year follow-up (11.1 ± 3.3 vs. 8.3 ± 2.1, p < 0.001). TL did not significantly differ between monocyte subsets at either sampling time-point (all p values > 0.1). Cox regression analyses did not indicate that TL or ΔTL was associated with all-cause death or the composite endpoint. CONCLUSIONS: Overall, this longitudinal study demonstrated a ~ 22% reduction of TL in monocytes from ambulatory patients with HF within 1 year. TL and ΔTL were not related to outcomes over long-term follow-up.

Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients.

BACKGROUND: Heart failure (HF) is associated with a high rate of readmissions within 30 days post-discharge and in the following year, especially in frail elderly patients. Biomarker data are scarce in this high-risk population. This study assessed the value of early post-discharge circulating levels of ST2, NT-proBNP, CA125, and hs-TnI for predicting 30-day and 1-year outcomes in comorbid frail elderly patients with HF with mainly preserved ejection fraction (HFpEF). METHODS: Blood samples were obtained at the first visit shortly after discharge (4.9 ± 2 days). The primary endpoint was the composite of all-cause mortality or HF-related rehospitalization at 30 days and at 1 year. All-cause mortality alone at one year was also a major endpoint. HF-related rehospitalizations alone were secondary end-points. RESULTS: From February 2014 to November 2016, 522 consecutive patients attending the STOP-HF Clinic were included (57.1% women, age 82 ± 8.7 years, mean Barthel index 70 ± 25, mean Charlson comorbidity index 5.6 ± 2.2). The composite endpoint occurred in 8.6% patients at 30 days and in 38.5% at 1 year. In multivariable analysis, ST2 [hazard ratio (HR) 1.53; 95% CI 1.19-1.97; p = 0.001] was the only predictive biomarker at 30 days; at 1 year, both ST2 (HR 1.34; 95% CI 1.15-1.56; p < 0.001) and NT-proBNP (HR 1.19; 95% CI 1.02-1.40; p = 0.03) remained significant. The addition of ST2 and NT-proBNP into a clinical predictive model increased the AUC from 0.70 to 0.75 at 30 days (p = 0.02) and from 0.71 to 0.74 at 1 year (p < 0.05). For all-cause death at 1 year, ST2 (HR 1.50; 95% CI 1.26-1.80; p < 0.001), and CA125 (HR 1.41; 95% CI 1.21-1.63; p < 0.001) remained independent predictors in multivariable analysis. The addition of ST2 and CA125 into a clinical predictive model increased the AUC from 0.74 to 0.78 (p = 0.03). For HF-related hospitalizations, ST2 was the only predictive biomarker in multivariable analyses, both at 30 days and at 1 year. CONCLUSIONS: In a comorbid frail elderly population with HFpEF, ST2 outperformed NT-proBNP for predicting the risk of all-cause mortality or HF-related rehospitalization. ST2, a surrogate marker of inflammation and fibrosis, may be a better predictive marker in high-risk HFpEF.

Pathogenesis, Clinical Features and Treatment of Diabetic Cardiomyopathy.

Patients with type 1 and type 2 diabetes mellitus (T1D and T2D) show an increased incidence of heart failure (HF) even after adjustment for well established risk factors for HF such as hypertension and ischaemic heart disease. The resulting specific form of cardiomyopathy is known as diabetic cardiomyopathy" (DCM). Pathogenetic mechanisms underlying DCM are likely to be multifactorial, from altered myocardial metabolism (hyperglycaemia, hyperinsulinaemia, increased circulating fatty acids and trglycerides) to microvascular disease, autonomic neuropathy, and altered myocardial structure with fibrosis. Current medical treatment recommendations from scientific societies on HF in patients with diabetes mellitus (DM) do not differ from those for patients without DM. Regarding the effect of different hypoglycaemic drugs on HF in patients with DM, and considering the best available current evidence, the sodium-glucose-co-transporter 2 inhibitors and metformin seem to be especially advantageous regarding the effects in patients with T2D and HF.

Impact of diabetes on the predictive value of heart failure biomarkers.

BACKGROUND: Patients with diabetes mellitus (DM) have an increased risk of developing heart failure (HF). Further, DM is associated with poor prognosis in patients with HF. Our aim was to determine whether DM has any impact on the predictive value of a multi-biomarker panel in patients with HF. METHODS: We included 1069 consecutive ambulatory HF patients in the study: age 66.2 ± 12.8 years, 33.5 ± 13.3 left ventricular ejection fraction, 36% diabetic patients. We measured serum concentrations of N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitivity troponin T (hs-TnT), ST2, galectin-3, high-sensitivity C reactive protein (hs-CRP), cystatin-C, soluble transferrin receptor (sTfR), and neprilysin and followed patients for 4.9 ± 2.8 years. Primary endpoints were all-cause and cardiovascular death. RESULTS: During follow-up, 534 patients died; 283 died of cardiovascular causes. Diabetic subjects had higher mortality (57.7 vs. 45.6%, p < 0.001). NTproBNP (p = 0.07), hs-TnT (p < 0.001), galectin-3 (p < 0.001), and cystatin-C (p = 0.001) concentrations were higher in diabetic patients, whereas sTfR levels were lower (p = 0.005). There were no interactions between DM and NTproBNP, hs-TnT, galectin-3, hs-CRP, cystatin-C, sTfR, and neprilysin relative to risk prediction for all-cause or cardiovascular death. By contrast, ST2 significantly interacted with DM for all-cause (p = 0.02) and cardiovascular (p = 0.03) death. In diabetic patients, HRs for ST2 were 1.27 (95% CI 1.16-1.40, p < 0.001) and 1.23 (95% CI 1.09-1.39, p = 0.001) for all-cause and cardiovascular death, respectively. In nondiabetic patients, HRs for ST2 were 1.53 (95% CI 1.35-1.73, p < 0.001) and 1.64 (95% CI 1.31-2.05, p < 0.001) for all-cause and cardiovascular death, respectively. The multivariable Cox regression analysis showed that hs-TnT and ST2 were the only markers that were independently associated with both all-cause and cardiovascular mortality in patients with HF and diabetes. Moreover, in these patients, the combination of these two markers significantly increased discrimination as assessed by the area under the curve. CONCLUSIONS: Biomarkers used in the general population to predict the clinical course of heart failure are also useful in patients with diabetes. In these patients, among all the biomarkers analysed only hs-TnT and ST2 were independently associated with both all-cause and cardiovascular mortality.

Role of vericiguat in management of patients with heart failure with reduced ejection fraction after worsening episode.

Worsening heart failure (HF) is a vulnerable period in which the patient has a markedly high risk of death or HF hospitalization (up to 10% and 30%, respectively, within the first weeks after episode). The prognosis of HF patients can be improved through a comprehensive approach that considers the different neurohormonal systems, with the early introduction and optimization of the quadruple therapy with sacubitril-valsartan, beta-blockers, mineralocorticoid receptor antagonists, and inhibitors. Despite that, there is a residual risk that is not targeted with these therapies. Currently, it is recognized that the cyclic guanosine monophosphate deficiency has a negative direct impact on the pathogenesis of HF, and vericiguat, an oral stimulator of soluble guanylate cyclase, can restore this pathway. The effect of vericiguat has been explored in the VICTORIA study, the largest chronic HF clinical trial that has mainly focused on patients with recent worsening HF, evidencing a significant 10% risk reduction of the primary composite endpoint of cardiovascular death or HF hospitalization (number needed to treat 24), after adding vericiguat to standard therapy. This benefit was independent of background HF therapy. Therefore, optimization of treatment should be performed as earlier as possible, particularly within vulnerable periods, considering also the use of vericiguat.

Serum potassium abnormalities, renin-angiotensin-aldosterone system inhibitor discontinuation, and clinical outcomes in patients with chronic cardiovascular, metabolic, and renal conditions: A population-based analysis.

BACKGROUND: Renin-angiotensin-aldosterone system inhibitors (RAASIs) play a crucial role in the treatment of several chronic cardiovascular conditions. Nonetheless, hyperkalemia, a frequent side effect, often leads to the discontinuation of RAASIs. The implications of hyperkalemia-driven changes in RAASI medications are poorly understood. METHODS: Population-based, observational, retrospective cohort study. Two large healthcare databases were utilized to identify 77,089 individuals aged 55 years and older with chronic conditions who were prescribed RAASIs between 2015 and 2017 in Southern Barcelona, Spain. We assessed the interplay between serum potassium abnormalities, RAASI management, and their associations with clinical outcomes, adjusting for potential confounders including socioeconomic factors, medical conditions, and potassium levels. RESULTS: The one-year prevalence of hyperkalemia (defined as serum potassium, K+ >5.0 mmol/L) was 17.8 %. RAASI were down-titrated in 16.1 % of these 13,673 patients with K+ levels. Factors linked to a higher likelihood of reducing/discontinuing RAASI after developing hyperkalemia included older age, impaired kidney function, higher potassium levels, and previous hospitalizations. Dose reduction/discontinuation of RAASI after developing hyperkalemia was associated with an increased risk of hospitalization (adjusted hazard ratio [HR] 1.16, 95 % confidence interval [CI] 1.10-1.21) and with increased mortality (HR 1.60, 95 % CI 1.56-1.84). CONCLUSION: In this large, observational study, hyperkalemia was linked to a greater likelihood of discontinuing RAASIs. Down-titration of RAASI was independently associated with unfavorable clinical outcomes such as hospitalization and specially mortality. Although the observational nature of the study, these findings underscore the importance of preventing circumstances that may lead to RAASI down-titration, such as hyperkalemia, as well as preventing hospitalizations and mortality, to ensure RAASI benefits.

Predictors and Risk Score for Immune Checkpoint-Inhibitor-Associated Myocarditis Severity.

Background: Immune-checkpoint inhibitors (ICI) are associated with life-threatening myocarditis but milder presentations are increasingly recognized. The same autoimmune process that causes ICI-myocarditis can manifest concurrent generalized myositis, myasthenia-like syndrome, and respiratory muscle failure. Prognostic factors for this "cardiomyotoxicity" are lacking. Methods: A multicenter registry collected data retrospectively from 17 countries between 2014-2023. A multivariable cox regression model (hazard-ratio(HR), [95%confidence-interval]) was used to determine risk factors for the primary composite outcome: severe arrhythmia, heart failure, respiratory muscle failure, and/or cardiomyotoxicity-related death. Covariates included demographics, comorbidities, cardio-muscular symptoms, diagnostics, and treatments. Time-dependent covariates were used and missing data were imputed. A point-based prognostic risk score was derived and externally validated. Results: In 748 patients (67% male, age 23-94), 30-days incidence of the primary composite outcome, cardiomyotoxic death, and overall death were 33%, 13%, and 17% respectively. By multivariable analysis, the primary composite outcome was associated with active thymoma (HR=3.60[1.93-6.72]), presence of cardio-muscular symptoms (HR=2.60 [1.58-4.28]), low QRS-voltage on presenting electrocardiogram (HR for ≤0.5mV versus >1mV=2.08[1.31-3.30]), left ventricular ejection fraction (LVEF) <50% (HR=1.78[1.22-2.60]), and incremental troponin elevation (HR=1.86 [1.44-2.39], 2.99[1.91-4.65], 4.80[2.54-9.08], for 20, 200 and 2000-fold above upper reference limit, respectively). A prognostic risk score developed using these parameters showed good performance; 30-days primary outcome incidence increased gradually from 3.9%(risk-score=0) to 81.3%(risk-score≥4). This risk-score was externally validated in two independent French and US cohorts. This risk score was used prospectively in the external French cohort to identify low risk patients who were managed with no immunosuppression resulting in no cardio-myotoxic events. Conclusions: ICI-myocarditis can manifest with high morbidity and mortality. Myocarditis severity is associated with magnitude of troponin, thymoma, low-QRS voltage, depressed LVEF, and cardio-muscular symptoms. A risk-score incorporating these features performed well. Trial registration number: NCT04294771 and NCT05454527.

Psychosocial factors partially explain gender differences in health-related quality of life in heart failure patients.

AIMS: There is little information about the influence of gender on quality of life (QoL) in heart failure. The purpose of this study was to evaluate whether the health-related QoL gap between men and women can be explained by the interaction between psychosocial factors and clinical determinants in a real-word cohort of patients with chronic heart failure. METHODS AND RESULTS: We conducted a single-centre, observational, prospective cohort study of 1236 consecutive patients diagnosed with chronic heart failure recruited between 2004 and 2014. To assess QoL, we used the Minnesota Living with Heart Failure Questionnaire (MLHFQ). Female gender was associated with worse global QoL compared to male gender (MLHFQ overall summary score: 49 ± 23 vs. 43 ± 24; P value <0.001, respectively) and similarly had poorer scores in physical and emotional dimensions but scored better on social dimension. In univariate models and in models adjusted for clinical determinants, female gender behaved as a predictor of worse global, physical and emotional QoL, and better social QoL compared with men. In models only including psychosocial determinants and in comprehensive models including all psychosocial and clinical factors, these differences according to gender were no longer significant. CONCLUSIONS: In this study, we have shown that the gap in health-related QoL between men and women with chronic heart failure can be partially explained by the interaction between biological and psychosocial factors. Biological factors are the main drivers of QoL in HF patients. However, the contribution of psychosocial factors is essential to definitively understand the role of gender in this field.

Prognostic Value of Soluble AXL in Serum from Heart Failure Patients with Preserved and Reduced Left Ventricular Ejection Fraction.

Heart failure (HF) is classified according to the degree of reduction in left ventricular ejection fraction (EF) in HF with reduced, mildly reduced, and preserved EF. Biomarkers could behave differently depending on EF type. Here, we analyze the soluble form of the AXL receptor tyrosine kinase (sAXL) in HF patients with reduced and preserved EF. Two groups of HF patients with reduced (HFrEF; n = 134) and preserved ejection fraction (HFpEF; n = 134) were included in this prospective observational study, with measurements of candidate biomarkers and functional, clinical, and echocardiographic variables. A Cox regression model was used to determine predictors for clinical events: cardiovascular mortality and all-cause mortality. sAXL circulating values predicted outcome in HF: for a 1.0 ng/mL increase in serum sAXL, the mortality hazard ratio (HR) was 1.019 for HFrEF (95% CI 1.000 to 1.038) and 1.032 for HFpEF (95% CI 1.013 to 1.052). In a multivariable Cox regression analysis, sAXL and NT-proBNP were independent markers for all-cause and cardiovascular mortality in HFpEF. In contrast, only NT-proBNP remained significant in the HFrEF group. When analyzing the event-free survival at a mean follow-up of 3.6 years, HFrEF and HFpEF patients in the higher quartile of sAXL had a reduced survival time. Interestingly, sAXL is a reliable predictor for all-cause and cardiovascular mortality only in the HFpEF cohort. The results suggest an important role for AXL in HFpEF, supporting sAXL evaluation in larger clinical studies and pointing to AXL as a potential target for HF therapy.

Breaking the 30-day barrier: Long-term effectiveness of a nurse-led 7-step transitional intervention program in heart failure.

BACKGROUND AND AIMS: Heart failure (HF) programs successfully reduce 30-day readmissions. However, conflicting data exist about its sustained effects afterwards and its impact on mortality. We evaluated whether the impact of a new nurse-led coordinated transitional HF program extends to longer periods of time, including 90 and 180 days after discharge. METHODS AND RESULTS: We designed a natural experiment to undertake a pragmatical evaluation of the implementation of the program. We compared outcomes between patients discharged with HF as primary diagnosis in Period #1 (pre-program; Jan 2017-Aug 2017) and those discharged during Period #2 (HF program; Sept 2017-Jan 2019). Primary endpoint was the composite of all-cause death or all-cause hospitalization 90 and 180 days after discharge. 440 patients were enrolled: 123 in Period #1 and 317 in Period #2. Mean age was 75±9 years. There were more females in Period #2 (p = 0.025), with no other significant differences between periods. The primary endpoint was significantly reduced in the HF program group, at 90 [adjusted OR 0.31 (0.18-0.53), p <0.001] and at 180 days [adjusted OR 0.18 (CI 0.11-0.32), p <0.001]. Such a decrease was due to a reduction in cardiovascular (CV) and HF hospitalization. All-cause death was reduced when a double check discharge planning was implanted compared to usual care [0 (0%) vs. 7 (3.8%), p = 0.022]. CONCLUSION: A new nurse-led coordinated transitional bundle of interventions model reduces the composite endpoint of all-cause death and all-cause hospitalization both at 90 and 180 days after a discharge for HF, also in high-risk populations. Such a decrease is driven by a reduction of CV and HF hospitalization. Reduction of all-cause mortality was also observed when the full model including a more exhaustive discharge planning process was implemented.

Developing Cardio-Oncology Programs in the New Era: Beyond Ventricular Dysfunction Due to Cancer Treatments.

Cardiovascular disease is a common problem in cancer patients that is becoming more widely recognized. This may be a consequence of prior cardiovascular risk factors but could also be secondary to the anticancer treatments. With the goal of offering a multidisciplinary approach to guaranteeing optimal cancer therapy and the early detection of related cardiac diseases, and in light of the recent ESC Cardio-Oncology Guideline recommendations, we developed a Cardio-Oncology unit devoted to the prevention and management of these specific complications. This document brings together important aspects to consider for the development and organization of a Cardio-Oncology program through our own experience and the current evidence.

Usefulness of telemedicine-based heart failure monitoring according to 'eHealth literacy' domains: Insights from the iCOR randomized controlled trial.

BACKGROUND: The potential positive effect of electronic health (eHealth)-based heart failure (HF) monitoring remains uncertain mainly in the 'low literacy' or 'computer or digital illiterate' patients. The aim of this study was to determine the effectiveness of a telemedicine (TM)-based managed care solution across literacy levels and information and communications technology (ICT) skills. METHODS: We performed a sub-analysis on the basis of two literacy domains encompassed in the definition of 'eHealth literacy' to the HF-patients included in the 'insuficiència Cardíaca Optimització Remota' (iCOR) randomized study comparing TM vs. usual care (UC) in HF-patients. The primary study endpoint was the incidence of a non-fatal HF event after 6 months of inclusion. The event rates of primary and secondary study endpoints were calculated for each literacy domains and its combination. Cox proportional-hazards regression models were used to evaluate the effect of 'eHealth literacy' dimensions, treatment group and the interaction term 'eHealth literacy' domains by treatment group on study endpoints. RESULTS: The beneficial effect of TM compared to UC strategy was consistent across all literacy domains (p-value for interaction 0.207 and 0.117 respectively). The risk of experiencing a primary event was significantly lower in patients that underwent allocation to the TM arm compared to UC in both clustered in the 'lower literacy' (p-value=0.001) and those allocated to the 'lower ICT skills' (p-value=0.001) subgroup. CONCLUSIONS: Non-invasive eHealth-based HF monitoring tools are effective compared to UC in preventing HF events in the early post-discharge period, regardless of two 'eHealth literacy' domains ('traditional and computer literacy').

Clinical Determinants and Prognosis of Left Ventricular Reverse Remodelling in Non-Ischemic Dilated Cardiomyopathy.

AIMS: Non-ischaemic dilated cardiomyopathy (NIDCM) is characterized by left ventricular (LV) chamber enlargement and systolic dysfunction in the absence of coronary artery disease. Left ventricular reverse remodelling (LVRR) is the ability of a dilated ventricle to restore its normal size, shape and function. We sought to determine the frequency, clinical predictors and prognostic implications of LVRR, in a cohort of heart failure (HF) patients with NIDCM. METHODS: We conducted a multicentre observational, retrospective cohort study of patients with NIDCM, with prospective serial echocardiography evaluations. LVRR was defined as an increase of ≥15% in left ventricular ejection fraction (LVEF) or as a LVEF increase ≥ 10% plus reduction of LV end-systolic diameter index ≥ 20%. We used multivariable logistic regression analyses to identify the baseline clinical predictors of LVRR and evaluate the prognostic impact of LVRR. RESULTS: LVRR was achieved in 42.5% of 527 patients with NIDCM during the first year of follow-up (median LVEF 49%, median change +22%), Alcoholic aetiology, HF duration, baseline LVEF and the absence of LBBB (plus NT-proBNP levels when in the model), were the strongest predictors of LVRR. During a median follow-up of 47 months, 134 patients died (25.4%) and 7 patients (1.3%) received a heart transplant. Patients with LVRR presented better outcomes, regardless of other clinical conditions. CONCLUSIONS: In patients with NIDCM, LVRR was frequent and was associated with improved prognosis. Major clinical predictors of LVRR were alcoholic cardiomyopathy, absence of LBBB, shorter HF duration, and lower baseline LVEF and NT-proBNP levels. Our study advocates for clinical phenotyping of non-ischaemic dilated cardiomyopathy and intense gold-standard treatment optimization of patients according to current guidelines and recommendations in specialized HF units.

The relationship between self-care, long-term mortality, and heart failure hospitalization: insights from a real-world cohort study.

AIMS: The assumption that improved self-care in the setting of heart failure (HF) care necessarily translates into improvements in long-term mortality and/or hospitalization is not well established. We aimed to study the association between self-care and long-term mortality and other major adverse HF events (MAHFE). METHODS AND RESULTS: We conducted an observational, prospective, cohort study of 1123 consecutive patients with chronic HF. The primary endpoint was all-cause mortality. We used the European Heart Failure Self-care Behaviour Scale 9-item version (EHFSCBS-9) to measure global self-care (overall score) and three specific dimensions of self-care including autonomy-based adherence, consulting behaviour and provider-based adherence. After a mean follow-up of 3.3 years, all-cause death occurred in 487 patients (43%). In adjusted analysis, higher EHFScBS-9 scores (better self-care) at baseline were associated with lower risk of all-cause death [hazard ratio (HR) 0.993, 95% confidence interval (CI) (0.988-0.997), P-value = 0.002], cardiovascular (CV) death [HR 0.989, 95% CI (0.981-0.996), P-value = 0.003], HF hospitalization [HR 0.993, 95% CI (0.988-0.998), P-value = 0.005], and the combination of MAHFE [HR 0.995, 95% CI (0.991-0.999), P-value = 0.018]. Similarly, impaired global self-care [HR 1.589, 95% CI (1.201-2.127), P-value = 0.001], impaired autonomy-based adherence [HR 1.464, 95% CI (1.114-1.923), P-value = 0.006], and impaired consulting behaviour dimensions [HR 1.510, 95% CI (1.140-1.923), P-value = 0.006] were all associated with higher risk of all-cause mortality. CONCLUSION: In this study, we have shown that worse self-care is an independent predictor of long-term mortality (both, all-cause and CV), HF hospitalization, and the combinations of these endpoints in patients with chronic HF. Important dimensions of self-care such as autonomy-based adherence and consulting behaviour also determine the risk of all these outcomes in the long term.

Effectiveness of telemedicine in patients with heart failure according to frailty phenotypes: Insights from the iCOR randomised controlled trial.

BACKGROUND: The potential impact of telemedicine (TM) in the monitoring of patients with heart failure (HF) is still uncertain particularly in the frailest patients. The aim of this study was to define the efficacy of a TM-based managed care solution across different HF patient frailty phenotypes. METHODS: We performed a clustering analysis on the basis of 8 frailty-related dimensions to the HF-patients included in the 'insuficiència Cardíaca Optimització Remota' (iCOR) randomised study comparing TM vs. usual care (UC) in HF patients. The primary study endpoint was the incidence of a non-fatal HF event after 6 months of inclusion. The healthcare-related costs in each study group and cluster were also evaluated. The event rates of primary and secondary study endpoints were calculated for each cluster. Cox proportional-hazards regression models were used to evaluate the effect of cluster, treatment group and the interaction term cluster by treatment group on study endpoints. RESULTS: 5 different frailty phenotypes were identified. The positive effect of TM compared to UC strategy was consistent across all frailty phenotypes (p-value for interaction 0.711). The risk of experiencing a primary event was significantly lower in patients that underwent allocation to the TM arm compared to UC (p-value = 0.016). Ultimately, the healthcare costs were significantly reduced in patients allocated to the TM compared to UC in all 5 frailty phenotypes (all p-value < 0.05). CONCLUSIONS: Non-invasive TM-based follow-up tools are effective compared to UC follow-up in preventing HF events in the early post-discharge period, regardless of the 5 frailty phenotypes.

Clinical Profile and Prognosis of a Real-World Cohort of Patients With Moderate or Severe Cancer Therapy-Induced Cardiac Dysfunction.

Introduction and Objectives: Cancer therapy-related cardiac dysfunction (CTRCD) is a common cause of cancer treatment withdrawal, related to the poor outcomes. The cardiac-specific treatment could recover the left ventricular ejection fraction (LVEF). We analyzed the clinical profile and prognosis of patients with CTRCD in a real-world scenario. Methods: A retrospective study that include all the cancer patients diagnosed with CTRCD, defined as LVEF < 50%. We analyzed the cardiac and oncologic treatments, the predictors of mortality and LVEF recovery, hospital admission, and the causes of mortality (cardiovascular (CV), non-CV, and cancer-related). Results: We included 113 patients (82.3% women, age 49.2 ± 12.1 years). Breast cancer (72.6%) and anthracyclines (72.6%) were the most frequent cancer and treatment. Meantime to CTRCD was 8 months, with mean LVEF of 39.4 ± 9.2%. At diagnosis, 27.4% of the patients were asymptomatic. Cardiac-specific treatment was started in 66.4% of patients, with LVEF recovery-rate of 54.8%. Higher LVEF at the time of CTRCD, shorter time from cancer treatment to diagnosis of CTRCD, and younger age were the predictors of LVEF recovery. The hospitalization rate was 20.4% (8.8% linked to heart failure). Treatment with trastuzumab and lower LVEF at diagnosis of CTRCD were the predictors of mortality. Thirty point nine percent of patients died during the 26 months follow-up. The non-CV causes and cancer-related were more frequent than CV ones. Conclusions: Cardiac-specific treatment achieves LVEF recovery in more than half of the patients. LVEF at the diagnosis of CTRCD, age, and time from the cancer treatment initiation to CTRCD were the predictors of LVEF recovery. The CV-related deaths were less frequent than the non-CV ones. Trastuzumab treatment and LVEF at the time of CTRCD were the predictors of mortality.

Impact on clinical outcomes and health costs of deranged potassium levels in patients with chronic cardiovascular, metabolic, and renal conditions.

INTRODUCTION AND OBJECTIVES: Potassium derangements are frequent among patients with chronic cardiovascular conditions. Studies on the associations between potassium derangements and clinical outcomes have yielded mixed findings, and the implications for health care expenditure are unknown. We assessed the population-based associations between hyperkalemia, hypokalemia and clinical outcomes and health care costs, in patients with chronic heart failure, chronic kidney disease, diabetes mellitus, hypertension, and ischemic heart disease. METHODS: Population-based, longitudinal study including up to 36 269 patients from a health care area with at least one of the above-mentioned conditions. We used administrative, hospital and primary care databases. Participants were followed up between 2015 and 2017, were aged ≥ 55 years and had at least 1 potassium measurement. Four analytic designs were used to evaluate prevalent and incident cases and the use of renin-angiotensin-aldosterone system inhibitors. RESULTS: Hyperkalemia was twice as frequent as hypokalemia. On multivariable-adjusted analyses, hyperkalemia was robustly and significantly associated with an increased risk of all-cause death (HR from Cox regression models ranging from 1.31-1.68) and with an increased odds of a yearly health care expenditure >85th percentile (OR, 1.21-1.29). Associations were even stronger in hypokalemic patients (HR for all-cause death, 1.92-2.60; OR for health care expenditure> percentile 85th, 1.81-1.85). CONCLUSIONS: Experimental studies are needed to confirm whether the prevention of potassium derangements reduces mortality and health care expenditure in these chronic conditions. Until then, our findings provide observational evidence on the potential importance of maintaining normal potassium levels.

Prognostic Value of the Acute-to-Chronic Glycemic Ratio at Admission in Heart Failure: A Prospective Study.

Acute hyperglycemia has been associated with worse prognosis in patients hospitalized for heart failure (HF). Nevertheless, studies evaluating the impact of glycemic control on long-term prognosis have shown conflicting results. Our aim was to assess the relationship between acute-to-chronic (A/C) glycemic ratio and 4-year mortality in a cohort of subjects hospitalized for acute HF. A total of 1062 subjects were consecutively included. We measured glycaemia at admission and estimated average chronic glucose levels and the A/C glycemic ratio were calculated. Subjects were stratified into groups according to the A/C glycemic ratio tertiles. The primary endpoint was 4-year mortality. Subjects with diabetes had higher risk for mortality compared to those without (HR 1.35 [95% CI: 1.10-1.65]; p = 0.004). A U-shape curve association was found between glucose at admission and mortality, with a HR of 1.60 [95% CI: 1.22-2.11]; p = 0.001, and a HR of 1.29 [95% CI: 0.97-1.70]; p = 0.078 for the first and the third tertile, respectively, in subjects with diabetes. Additionally, the A/C glycemic ratio was negatively associated with mortality (HR 0.76 [95% CI: 0.58-0.99]; p = 0.046 and HR 0.68 [95% CI: 0.52-0.89]; p = 0.005 for the second and third tertile, respectively). In multivariable analysis, the A/C glycemic ratio remained an independent predictor. In conclusion, in subjects hospitalized for acute HF, the A/C glycemic ratio is significantly associated with mortality, improving the ability to predict mortality compared with glucose levels at admission or average chronic glucose concentrations, especially in subjects with diabetes.