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Background:
Adherence to pharmacotherapeutic treatment guidelines in patients with heart failure (HF) is of major prognostic importance, but thorough implementation of guidelines in routine care remains insufficient. Our aim was to investigate prevalence and characteristics of HF in patients with coronary heart disease (CHD), and to assess the adherence to current HF guidelines in patients with HF stage C, thus identifying potential targets for the optimization of guideline implementation.
Methods:
Patients from the German sample of the European Action on Secondary and Primary Prevention by Intervention to Reduce Events (EuroAspire) IV survey with a hospitalization for CHD within the previous six to 36 months providing valid data on echocardiography as well as on signs and symptoms of HF were categorized into stages of HF: A, prevalence of risk factors for developing HF; B, asymptomatic but with structural heart disease; C, symptomatic HF. A Guideline Adherence Indicator (GAI-3) was calculated for patients with reduced (≤40%) left ventricular ejection fraction (HFrEF) as number of drugs taken per number of drugs indicated; beta-blockers, angiotensin converting enzyme inhibitors/angiotensin receptor blockers, and mineralocorticoid receptor antagonists (MRA) were considered.
Results:
509/536 patients entered analysis. HF stage A was prevalent in n = 20 (3.9%), stage B in n = 264 (51.9%), and stage C in n = 225 (44.2%) patients; 94/225 patients were diagnosed with HFrEF (42%). Stage C patients were older, had a longer duration of CHD, and a higher prevalence of arterial hypertension. Awareness of pre-diagnosed HF was low (19%). Overall GAI-3 of HFrEF patients was 96.4% with a trend towards lower GAI-3 in patients with lower LVEF due to less thorough MRA prescription.
Conclusions:
In our sample of CHD patients, prevalence of HF stage C was high and a sizable subgroup suffered from HFrEF. Overall, pharmacotherapy was fairly well implemented in HFrEF patients, although somewhat worse in patients with more reduced ejection fraction. Two major targets were identified possibly suited to further improve the implementation of HF guidelines: 1) increase patients´ awareness of diagnosis and importance of HF; and 2) disseminate knowledge about the importance of appropriately implementing the use of mineralocorticoid receptor antagonists.
Trial registration:
This is a cross-sectional analysis of a non-interventional study. Therefore, it was not registered as an interventional trial.
Aims
There is an ongoing discussion whether the categorization of patients with heart failure according to left ventricular ejection fraction (LVEF) is scientifically justified and clinically relevant. Major efforts are directed towards the identification of appropriate cut-off values to correctly allocate heart failure-specific pharmacotherapy. Alternatively, an LVEF continuum without definite subgroups is discussed. This study aimed to evaluate the natural distribution of LVEF in patients presenting with acutely decompensated heart failure and to identify potential subgroups of LVEF in male and female patients.
Methods and results
We identified 470 patients (mean age 75 ± 11 years, n = 137 female) hospitalized for acute heart failure in whom LVEF could be quantified by Simpson's method in an in-hospital echocardiogram. Non-parametric modelling revealed a bimodal shape of the LVEF distribution. Parametric modelling identified two clusters suggesting two LVEF peaks with mean (variance) of 61% (9%) and 31% (10%), respectively. Sub-differentiation by sex revealed a sex-specific bimodal clustering of LVEF. The respective threshold differentiating between ‘high’ and ‘low’ LVEF was 45% in men and 52% in women.
Conclusions
In patients presenting with acute heart failure, LVEF clustered in two subgroups and exhibited profound sex-specific distributional differences. These findings might enrich the scientific process to identify distinct subgroups of heart failure patients, which might each benefit from respectively tailored (pharmaco)therapies.
Risk prediction in patients with heart failure (HF) is essential to improve the tailoring of preventive, diagnostic, and therapeutic strategies for the individual patient, and effectively use health care resources. Risk scores derived from controlled clinical studies can be used to calculate the risk of mortality and HF hospitalizations. However, these scores are poorly implemented into routine care, predominantly because their calculation requires considerable efforts in practice and necessary data often are not available in an interoperable format. In this work, we demonstrate the feasibility of a multi-site solution to derive and calculate two exemplary HF scores from clinical routine data (MAGGIC score with six continuous and eight categorical variables; Barcelona Bio-HF score with five continuous and six categorical variables). Within HiGHmed, a German Medical Informatics Initiative consortium, we implemented an interoperable solution, collecting a harmonized HF-phenotypic core data set (CDS) within the openEHR framework. Our approach minimizes the need for manual data entry by automatically retrieving data from primary systems. We show, across five participating medical centers, that the implemented structures to execute dedicated data queries, followed by harmonized data processing and score calculation, work well in practice. In summary, we demonstrated the feasibility of clinical routine data usage across multiple partner sites to compute HF risk scores. This solution can be extended to a large spectrum of applications in clinical care.
Background
The importance of chronic kidney disease (CKD) and anaemia has not been comprehensively studied in asymptomatic patients at risk for heart failure (HF) versus those with symptomatic HF. We analysed the prevalence, characteristics and prognostic impact of both conditions across American College of Cardiology/American Heart Association (ACC/AHA) precursor and HF stages A–D.
Methods and results
2496 participants from three non-pharmacological German Competence Network HF studies were categorized by ACC/AHA stage; stage C patients were subdivided into C1 and C2 (corresponding to NYHA classes I/II and III, respectively). Overall, patient distribution was 8.1%/35.3%/32.9% and 23.7% in ACC/AHA stages A/B/C1 and C2/D, respectively. These subgroups were stratified by the absence ( – ) or presence ( +) of CKD (estimated glomerular filtration rate [eGFR] < 60 mL/min/1.73m2) and anaemia (haemoglobin in women/men < 12/ < 13 g/dL). The primary outcome was all-cause mortality at 5-year follow-up. Prevalence increased across stages A/B/C1 and C2/D (CKD: 22.3%/23.6%/31.6%/54.7%; anaemia: 3.0%/7.9%/21.7%/33.2%, respectively), with concordant decreases in median eGFR and haemoglobin (all p < 0.001). Across all stages, hazard ratios [95% confidence intervals] for all-cause mortality were 2.1 [1.8–2.6] for CKD + , 1.7 [1.4–2.0] for anaemia, and 3.6 [2.9–4.6] for CKD + /anaemia + (all p < 0.001). Population attributable fractions (PAFs) for 5-year mortality related to CKD and/or anaemia were similar across stages A/B, C1 and C2/D (up to 33.4%, 30.8% and 34.7%, respectively).
Conclusions
Prevalence and severity of CKD and anaemia increased across ACC/AHA stages. Both conditions were individually and additively associated with increased 5-year mortality risk, with similar PAFs in asymptomatic patients and those with symptomatic HF.