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Introduction Current guidelines recommend suspecting transthyretin amyloid cardiomyopathy (ATTR-CM) in patients over 65 years of age with unexplained left ventricular (LV) hypertrophy in a non-dilated LV, heart failure (HF) and preserved ejection fraction (HFpEF), hypertrophic cardiomyopathy or severe aortic stenosis. However, there is evidence indicating a high prevalence of ATTR-CM in other HF phenotypes. As such, this study aimed to characterize the diversity of HF phenotypes of ATTR-CM by examining the LV ejection fraction and LV dilatation using echocardiography.Methods This multicentre, retrospective observational study included patients diagnosed with ATTR-CM between 2015–2023. The diagnosis was based on a positive cardiac biopsy or positive bone scintigraphy without monoclonal gammopathy. Echocardiographic measurements were categorized according to LV ejection fraction (LVEF) into HFpEF (LVEF ≥50%), HF with mildly reduced EF (HFmrEF, LVEF 40–49%), and HF with reduced EF (HFrEF, LVEF

Background: Diuretic resistance is common and results in poor outcome. Spot urine sodium (UrNa) is suggested as a tool to tailor diuretics and improve efficacy of therapy. We prospectively evaluate the prevalence of diuretic resistance, predictors of low spot-UrNa and the prognostic value of spot-UrNa in an unselected ADHF population. Methods: Patients admitted for ADHF and treated with iv diuretics were included. Spot-UrNa was collected 2 h after administration of an IV diuretic bolus. The main endpoint was a composite of HF re-hospitalizations and all-cause mortality at 90 days follow-up. Results: 143 patients were included in this study (median age 81 [75 – 85] years, 55 % male), of which 50 % were newly diagnosed with HF. Low spot-UrNa was independently associated with worse renal function, low serum sodium, and systolic blood pressure, previous loop diuretic and SGLT2i use and loop diuretic administered dose. Both absolute spot-UrNa (HR 0.87, 95 % CI 0.79 – 0.95, P=0.003 per 10 mmol/L increase) and a urinary sodium ≥ 100 mmol/l (HR=0.51, 95 % CI 0.27 – 0.97, P=0.04) significantly predicted the composite endpoint. This association was no longer significant after correction for confounders. Patients with low spot-UrNa attained longer IV diuretic treatment and a higher cumulative IV diuretic dose. Conclusions: Spot-UrNa is prevalent and occurs more often in patients with more progressed cardio-renal disease. Spot-UrNa significantly predicts 90-day HF hospital-free survival in ADHF. Further studies are needed evaluating the effect of UrNa guided diuretic treatment on clinical endpoints.

Abstract Aims Diagnosis of heart failure with preserved ejection fraction (HFpEF) can be challenging. This study aimed to evaluate the potential of a webtool to enhance the scoring accuracy when applying the complex HFA‐PEFF and H2FPEF algorithms, which are commonly used for diagnosing HFpEF. Methods and results We developed an online tool, the HFpEF calculator, that enables the automatic calculation of current HFpEF algorithms. We assessed the accuracy of manual vs. automatic scoring, defined as the percentage of correct scores, in a cohort of cardiologists with varying clinical experience. Cardiologists scored eight online clinical cases using a triple cross‐over design (i.e. two manual–two automatic–two manual–two automatic). Data were analysed in study completers (n = 55, 29% heart failure specialists, 42% general cardiologists, and 29% cardiology residents). Manually calculated scores were correct in 50% (HFA‐PEFF: 50% [50–75]; H2FPEF: 50% [38–50]). Correct scoring improved to 100% using the HFpEF calculator (HFA‐PEFF: 100% [88–100], P

Abstract Aims Heart failure (HF) represents a clinical syndrome resulting from different aetiologies and degrees of heart diseases. Among these, a key role is played by primary heart muscle disease (cardiomyopathies), which are the combination of multifactorial environmental insults in the presence or absence of a known genetic predisposition. The aim of the Maastricht Cardiomyopathy registry (mCMP‐registry; NCT04976348) is to improve (early) diagnosis, risk stratification, and management of cardiomyopathy phenotypes beyond the limits of left ventricular ejection fraction (LVEF). Methods and results The mCMP‐registry is an investigator‐initiated prospective registry including patient characteristics, diagnostic measurements performed as part of routine clinical care, treatment information, sequential biobanking, quality of life and economic impact assessment, and regular follow‐up. All subjects aged ≥16 years referred to the cardiology department of the Maastricht University Medical Center (MUMC+) for HF‐like symptoms or cardiac screening for cardiomyopathies are eligible for inclusion, irrespective of phenotype or underlying causes. Informed consented subjects will be followed up for 15 years. Two central approaches will be used to answer the research questions related to the aims of this registry: (i) a data‐driven approach to predict clinical outcome and response to therapy and to identify clusters of patients who share underlying pathophysiological processes; and (ii) a hypothesis‐driven approach in which clinical parameters are tested for their (incremental) diagnostic, prognostic, or therapeutic value. The study allows other centres to easily join this initiative, which will further boost research within this field. Conclusions The broad inclusion criteria, systematic routine clinical care data‐collection, extensive study‐related data‐collection, sequential biobanking, and multi‐disciplinary approach gives the mCMP‐registry a unique opportunity to improve diagnosis, risk stratification, and management of HF and (early) cardiomyopathy phenotypes beyond the LVEF limits.

Objectives Predicting the presence or absence of coronary artery disease (CAD) is clinically important. Pretest probability (PTP) and CAD consortium clinical (CAD2) model and risk scores used in the guidelines are not sufficiently accurate as the only guidance for applying invasive testing or discharging a patient. Artificial intelligence without the need of additional non-invasive testing is not yet used in this context, as previous results of the model are promising, but available in high-risk population only. Still, validation in low-risk patients, which is clinically most relevant, is lacking.Design Retrospective cohort study.Setting Secondary outpatient clinic care in one Dutch academic hospital.Participants We included 696 patients referred from primary care for further testing regarding the presence or absence of CAD. The results were compared with PTP and CAD2 using receiver operating characteristic (ROC) curves (area under the curve (AUC)). CAD was defined by a coronary stenosis >50% in at least one coronary vessel in invasive coronary or CT angiography, or having a coronary event within 6 months.Outcome measures The first cohort validating the memetic pattern-based algorithm (MPA) model developed in two high-risk populations in a low-risk to intermediate-risk cohort to improve risk stratification for non-invasive diagnosis of the presence or absence of CAD.Results The population contained 49% male, average age was 65.6±12.6 years. 16.2% had CAD. The AUCs of the MPA model, the PTP and the CAD2 were 0.87, 0.80, and 0.82, respectively. Applying the MPA model resulted in possible discharge of 67.7% of the patients with an acceptable CAD rate of 4.2%.Conclusions In this low-risk to intermediate-risk population, the MPA model provides a good risk stratification of presence or absence of CAD with a better ROC compared with traditional risk scores. The results are promising but need prospective confirmation.

Abstract Aims We sought to compare the generalizability and prognostic implications of heart failure with preserved ejection fraction (HFpEF) scores (HFA‐PEFF and H2FPEF score) in Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) and Phosphodiesterase‐5 Inhibition to Improve Clinical Status and Exercise Capacity in Heart Failure with Preserved Ejection Fraction (RELAX) trial participants and matched controls from the Atherosclerosis Risk in Community (ARIC) study. Methods and results Based on the respective scores, the study participants from the TOPCAT (N = 356), RELAX (N = 216), and ARIC (N = 379) studies were categorized as having a low, intermediate, or high likelihood of HFpEF. Age, sex, and race matched controls free of cardiovascular disease who had unexplained dyspnoea were used to evaluate the diagnostic performance. The prognostic value of scores was assessed using multivariable‐adjusted Cox regression analyses. The median HFA‐PEFF scores in the TOPCAT, RELAX, and ARIC studies were 5.0 [interquartile range (IQR): 5.0–6.0], 4.0 (IQR: 2.0–4.0), and 3.0 (IQR: 2.0–4.0), respectively. The median H2FPEF scores in the three studies were 5.5 (IQR: 4.0–7.0), 6.0 (IQR: 4.0–7.0), and 3.0 (IQR: 2.0–5.0), respectively. A low HFA‐PEFF and H2FPEF score can rule out HFpEF with high sensitivity (99.5% and 99.6%, respectively) and negative predictive value (95.7% and 98.3%, respectively). A high HFA‐PEFF and H2FPEF score can rule‐in HFpEF with good specificity (82.8% and 95.6%, respectively) and positive predictive value (79.9% and 90.4%, respectively). Among TOPCAT participants, the hazard for adverse cardiovascular events per point increase in HFA‐PEFF and H2FPEF score was 1.26 (95% confidence interval: 0.98–1.63) and 1.01 (95% confidence interval: 0.88–1.15), respectively. A higher H2FPEF score was associated with lower peak oxygen intake in RELAX trial participants (adjusted P = 0.01). Conclusions The HFA‐PEFF and the H2FPEF scores are reliable diagnostic tools for HFpEF. The prognostic utility of HFpEF scores requires further validation in larger rigorously phenotyped populations.

Abstract Aims Whether and how iron deficiency (ID) impacts patients with heart failure (HF) with preserved ejection fraction (HFpEF) remain unclear. The aim of our study was to investigate the impact of ID on functional status, exercise capacity, and prognosis in HFpEF. Methods and results The study population consisted of 300 HFpEF patients. ID was defined as serum ferritin

Normal brain natriuretic peptide (BNP) and N-terminal proBNP (NT-proBNP) levels are helpful in excluding chronic heart failure in the ambulatory setting, although they have been studied less well and possibly less accurately than in acute care. They may also be of help in screening patients at risk to intervene and reduce the development of heart failure. Natriuretic peptides are also excellent prognostic markers of chronic heart failure, but the clinical value of such prognostic information is less clear. One possible application for this information is guiding medical therapy in chronic heart failure. Many studies have investigated this approach, but results are mixed and do not clearly show improvement in outcome. Still, it may be that in patients with reduced ejection fraction and few comorbidities, measuring NT-proBNP to uptitrate medication improves prognosis.