A heart failure phenotype stratified model for predicting 1-year mortality in patients admitted with acute heart failure:results from an individual participant data meta-analysis of four prospective European cohorts

Background Prognostic models developed in general cohorts with a mixture of heart failure (HF) phenotypes, though more widely applicable, are also likely to yield larger prediction errors in settings where the HF phenotypes have substantially different baseline mortality rates or different predictor-outcome associations. This study sought to use individual participant data meta-analysis to develop an HF phenotype stratified model for predicting 1-year mortality in patients admitted with acute HF. Methods Four prospective European cohorts were used to develop an HF phenotype stratified model. Cox model with two rounds of backward elimination was used to derive the prognostic index. Weibull model was used to obtain the baseline hazard functions. The internal-external cross-validation (IECV) approach was used to evaluate the generalizability of the developed model in terms of discrimination and calibration. Results 3577 acute HF patients were included, of which 2368 were classified as having HF with reduced ejection fraction (EF) (HFrEF; EF < 40%), 588 as having HF with midrange EF (HFmrEF; EF 40-49%), and 621 as having HF with preserved EF (HFpEF; EF >= 50%). A total of 11 readily available variables built up the prognostic index. For four of these predictor variables, namely systolic blood pressure, serum creatinine, myocardial infarction, and diabetes, the effect differed across the three HF phenotypes. With a weighted IECV-adjusted AUC of 0.79 (0.74-0.83) for HFrEF, 0.74 (0.70-0.79) for HFmrEF, and 0.74 (0.71-0.77) for HFpEF, the model showed excellent discrimination. Moreover, there was a good agreement between the average observed and predicted 1-year mortality risks, especially after recalibration of the baseline mortality risks. Conclusions Our HF phenotype stratified model showed excellent generalizability across four European cohorts and may provide a useful tool in HF phenotype-specific clinical decision-making

Association of left ventricular ejection fraction with worsening renal function in patients with acute heart failure:insights from the RELAX-AHF-2 study

Aims: Whether risk of worsening renal function (WRF) during acute heart failure (AHF) hospitalization or the association between in-hospital WRF and post-discharge outcomes vary according to left ventricular ejection fraction (LVEF) is uncertain. We assessed incidence of WRF, factors related to its development and impact of WRF on post-discharge outcomes across the spectrum of LVEF in patients enrolled in RELAX-AHF-2. Methods and results: A total of 6112 patients who had LVEF measured on admission and renal function determined prospectively during hospitalization were included. WRF, defined as a rise in serum creatinine ≥0.3 mg/dL from baseline through day 5, occurred in 1722 patients (28.2%). Incidence increased progressively from lowest to highest LVEF quartile (P 50%) remained significantly greater than in Q1 (LVEF ≤29%; hazard ratio 1.2, 95% confidence interval 1–1.43; P = 0.050). Age and comorbidity burden including chronic kidney disease increased as LVEF increased. Neither admission haemodynamic abnormalities, extent of diuresis during hospitalization nor residual congestion explained the increased incidence of WRF in patients with higher LVEF. Serelaxin treatment and diuretic responsiveness were associated with reduced risk of WRF in all LVEF quartiles. WRF in patients in the upper three LVEF quartiles increased risk of post-discharge events. Conclusions: Worsening renal function incidence during AHF hospitalization increases progressively with LVEF. Greater susceptibility of patients with higher LVEF to WRF appears more related to their advanced age and worse underlying kidney function rather than haemodynamic or treatment effects. WRF is associated with increased risk of post-discharge events except in patients in the lowest LVEF quartile

A network analysis to identify pathophysiological pathways distinguishing ischaemic from non-ischaemic heart failure

Aims Heart failure (HF) is frequently caused by an ischaemic event (e.g. myocardial infarction) but might also be caused by a primary disease of the myocardium (cardiomyopathy). In order to identify targeted therapies specific for either ischaemic or non‐ischaemic HF, it is important to better understand differences in underlying molecular mechanisms. Methods and results We performed a biological physical protein–protein interaction network analysis to identify pathophysiological pathways distinguishing ischaemic from non‐ischaemic HF. First, differentially expressed plasma protein biomarkers were identified in 1160 patients enrolled in the BIOSTAT‐CHF study, 715 of whom had ischaemic HF and 445 had non‐ischaemic HF. Second, we constructed an enriched physical protein–protein interaction network, followed by a pathway over‐representation analysis. Finally, we identified key network proteins. Data were validated in an independent HF cohort comprised of 765 ischaemic and 100 non‐ischaemic HF patients. We found 21/92 proteins to be up‐regulated and 2/92 down‐regulated in ischaemic relative to non‐ischaemic HF patients. An enriched network of 18 proteins that were specific for ischaemic heart disease yielded six pathways, which are related to inflammation, endothelial dysfunction superoxide production, coagulation, and atherosclerosis. We identified five key network proteins: acid phosphatase 5, epidermal growth factor receptor, insulin‐like growth factor binding protein‐1, plasminogen activator urokinase receptor, and secreted phosphoprotein 1. Similar results were observed in the independent validation cohort. Conclusions Pathophysiological pathways distinguishing patients with ischaemic HF from those with non‐ischaemic HF were related to inflammation, endothelial dysfunction superoxide production, coagulation, and atherosclerosis. The five key pathway proteins identified are potential treatment targets specifically for patients with ischaemic HF

Long-term survivors of early breast cancer treated with chemotherapy are characterized by a pro-inflammatory biomarker profile compared to matched controls

Background: Chemo- and radiotherapy for breast cancer (BC) can lead to cardiotoxicity even years after the initial treatment. The pathophysiology behind these late cardiac effects is poorly understood. Therefore, we studied a large panel of biomarkers from different pathophysiological domains in long-term BC survivors, and compared these to matched controls. Methods and results: In total 91 biomarkers were measured in 688 subjects: 342 BC survivors stratified either to treatment with chemotherapy ± radiotherapy (n = 170) or radiotherapy alone (n = 172) and matched controls. Mean age was 59 ± 9 years and 65 ± 8 years for women treated with chemotherapy ± radiotherapy and radiotherapy alone, respectively, with a mean time since treatment of 11 ± 5.5 years. No biomarkers were differentially expressed in survivors treated with radiotherapy alone vs. controls (P for all >0.1). In sharp contrast, a total of 19 biomarkers were elevated, relative to controls, in BC survivors treated with chemotherapy ± radiotherapy after correction for multiple comparisons (P <0.05 for all). Network analysis revealed upregulation of pathways relating to collagen degradation and activation of matrix metalloproteinases. Furthermore, several inflammatory biomarkers including growth differentiation factor 15, monocyte chemoattractant protein 1, chemokine (C-X-C motif) ligand 16, tumour necrosis factor super family member 13b and proprotein convertase subtilisin/kexin type 9, elevated in survivors treated with chemotherapy, showed an independent association with lower left ventricular ejection fraction. Conclusion: Breast cancer survivors treated with chemotherapy ± radiotherapy show a distinct biomarker profile associated with mild cardiac dysfunction even 10 years after treatment. These results suggest that an ongoing pro-inflammatory state and activation of matrix metalloproteinases following initial treatment with chemotherapy might play a role in the observed cardiac dysfunction in late BC survivors

Association of Early Blood Pressure Decrease and Renal Function With Prognosis in Acute Heart Failure

OBJECTIVES The aim of this study was to investigate the association between systolic blood pressure (SBP) drop, worsening renal function (WRF), and prognosis in patients with acute heart failure (AHF). BACKGROUND A large drop in SBP early after hospital admission for AHF might be associated with increased risk for WRF and prognosis. However, there is a paucity of data regarding the interaction between WRF and a drop in SBP on clinical outcomes. METHODS A post hoc analysis among 6,544 patients with AHF enrolled in the RELAX-AHF-2 (Relaxin in Acute Heart Failure-2) trial was performed. Blood pressure was uniformly and repetitively measured. Peak SBP drop was defined as the difference between baseline SBP and lowest SBP documented during the first 48 hours. WRF was defined by an increase in serum creatinine of $0.3 mg/dL from baseline to day 5. RESULTS Peak SBP drop was independently associated with a higher risk for WRF (HR: 1.11 per 10 mm Hg SBP drop; P &lt; 0.001), 5-day worsening heart failure (HR: 1.12 per 10 mm Hg SBP drop; P = 0.006), and 180-day cardiovascular death (HR: 1.09 per 10 mm Hg SBP drop; P = 0.026) after adjustment for potential confounders including baseline SBP. There was no interaction between the prognostic value of early SBP drop according to the presence or absence of WRF. CONCLUSIONS In patients hospitalized for AHF, a greater early drop in SBP was associated with a higher incidence of WRF, worsening heart failure, and an increased risk for 180-day cardiovascular death. However, the association between SBP drop and prognosis was not influenced by WRF. (Efficacy, Safety and Tolerability of Serelaxin When Added to Standard Therapy in AHF [RELAX-AHF-2]; NCT01870778) (J Am Coll Cardiol HF 2021;9:890-903) (c) 2021 by the American College of Cardiology Foundation

Quality of life in men and women with heart failure:association with outcome, and comparison between the Kansas City Cardiomyopathy Questionnaire and the EuroQol 5 dimensions questionnaire

Aims: We sought to analyse quality of life (QoL) measures derived from two questionnaires widely used in clinical trials, the Kansas City Cardiomyopathy Questionnaire (KCCQ) and the EuroQoL 5 dimensions (EQ-5D), and to compare their prognostic value in men and women with heart failure and reduced ejection fraction (HFrEF).Methods and results: From the BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT-CHF) we compared KCCQ and EQ-5D at baseline and after 9 months in 1276 men and 373 women with new-onset or worsening symptoms of HFrEF, who were sub-optimally treated and in whom there was an anticipated up-titration of guideline-derived medical therapies. Women had significantly worse baseline QoL (median) as compared with men, both when assessed with KCCQ overall score (KCCQ-OS, 44 vs. 53, P &lt; 0.001) and EQ-5D utility score (0.62 vs. 0.73, P &lt; 0.001). QoL improved equally in women and men at follow-up. All summary measures of QoL were independently associated with all-cause mortality, with KCCQ-OS showing the most remarkable association with mortality up to 1 year compared to the EQ-5D scores (C-statistic 0.650 for KCCQ-OS vs. 0.633 and 0.599 for EQ-5D utility score and EQ-5D visual analogue scale, respectively). QoL was associated with all outcomes analysed, both in men and women (all P for interaction with sex &gt;0.2).Conclusion: Amongst patients with HFrEF, women reported significantly worse QoL than men. QoL was independently associated with subsequent outcome, similarly in men and women. The KCCQ in general, and the KCCQ-OS in particular, showed the strongest independent association with outcome.</p