Data standards for heart failure: the European Unified Registries for Heart Care Evaluation and Randomized Trials (EuroHeart)

Heart failure registries - Future directions

Heart failure (HF) is a growing, global public health issue. Despite advances in HF care, many challenges remain and HF outcomes are poor. Some of the major reasons for this are the lack of understanding and treatment for certain HF sub-types as well as the lack of implementation of treatment in areas where effective treatment exists. HF registries provide the opportunity to transform clinical research and patient care. Recently the registry-based randomized clinical trial has emerged as a pragmatic and inexpensive alternative to the gold standard in clinical trial design, the randomized controlled trial. Registries may also provide platforms for strategy trials, implementation trials, and screening. Using examples from the Swedish Heart Failure Registry and others, the present review provides insights into how registry-based research can address many of the unmet needs in HF.

Novel Trial Designs in Heart Failure: Using Digital Health Tools to Increase Pragmatism

PURPOSE OF REVIEW

Heart failure is an important clinical and public health issue. There is an urgent need to improve the efficiency of clinical trials in heart failure to rapidly identify new therapies and evidence-based implementation strategies for currently existing therapies. Electronic health (eHealth) platforms and digital health tools are being integrated into heart failure care. In this manuscript, we review opportunities to use these tools to potentially improve the design of and reduce the complexity of clinical trials in heart failure.

RECENT FINDINGS

The PRECIS-2 tool outlines clinical trial design domains that are targets for pragmatism. We believe incorporating pragmatic design elements with the aid of eHealth platforms and digital health tools into clinical trials may help address the current complexity of clinical trials in heart failure and improve efficiency. In the manuscript, we provide examples from recent clinical trials across clinical trial design domains. We believe the current adoption of eHealth platforms and digital health tools is an opportunity improve the design of heart failure clinical trials. We specifically believe these tools can enhance pragmatism in clinical trials and reduce delays in generating high-quality evidence for new heart failure therapeutics.

Rationale and design of the ESC Heart Failure III Registry - Implementation and discovery

AIMS

Heart failure outcomes remain poor despite advances in therapy. The European Society of Cardiology Heart Failure III Registry (ESC HF III Registry) aims to characterize HF clinical features and outcomes and to assess implementation of guideline-recommended therapy in Europe and other ESC affiliated countries.

METHODS

Between 1 November 2018 and 31 December 2020, 10 162 patients with chronic or acute/worsening HF with reduced, mildly reduced, or preserved ejection fraction were enrolled from 220 centres in 41 European or ESC affiliated countries. The ESC HF III Registry collected data on baseline characteristics (hospital or clinic presentation), hospital course, diagnostic and therapeutic decisions in hospital and at the clinic visit; and on outcomes at 12-month follow-up. These data include demographics, medical history, physical examination, biomarkers and imaging, quality of life, treatments, and interventions - including drug doses and reasons for non-use, and cause-specific outcomes.

CONCLUSION

The ESC HF III Registry will provide comprehensive and unique insight into contemporary HF characteristics, treatment implementation, and outcomes, and may impact implementation strategies, clinical discovery, trial design, and public policy.

Transportability of two heart failure trials to a disease registry using individual patient data

OBJECTIVES

Randomized controlled trials are the gold-standard for determining therapeutic efficacy, but are often unrepresentative of real-world settings. Statistical transportation methods (hereafter transportation) can partially account for these differences, improving trial applicability without breaking randomization. We transported treatment effects from two heart failure (HF) trials to a HF registry.

STUDY DESIGN AND SETTING

Individual-patient-level data from two trials (Carvedilol or Metoprolol European Trial (COMET), comparing carvedilol and metoprolol, and digitalis investigation group trial (DIG), comparing digoxin and placebo) and a Scottish HF registry were obtained. The primary end point for both trials was all-cause mortality; composite outcomes were all-cause mortality or hospitalization for COMET and HF-related death or hospitalization for DIG. We performed transportation using regression-based and inverse odds of sampling weights (IOSW) approaches.

RESULTS

Registry patients were older, had poorer renal function and received higher-doses of loop-diuretics than trial participants. For each trial, point estimates were similar for the original and IOSW (e.g., DIG composite outcome: OR 0.75 (0.69, 0.82) vs. 0.73 (0.64, 0.83)). Treatment effect estimates were also similar when examining high-risk (0.64 (0.46, 0.89)) and low-risk registry patients (0.73 (0.61, 0.86)). Similar results were obtained using regression-based transportation.

CONCLUSION

Regression-based or IOSW approaches can be used to transport trial effect estimates to patients administrative/registry data, with only moderate reductions in precision.

Placing patient-reported outcomes at the centre of cardiovascular clinical practice: implications for quality of care and management

Patient-reported outcomes (PROs) provide important insights into patients' own perspectives about their health and medical condition, and there is evidence that their use can lead to improvements in the quality of care and to better-informed clinical decisions. Their application in cardiovascular populations has grown over the past decades. This statement describes what PROs are, and it provides an inventory of disease-specific and domain-specific PROs that have been developed for cardiovascular populations. International standards and quality indices have been published, which can guide the selection of PROs for clinical practice and in clinical trials and research; patients as well as experts in psychometrics should be involved in choosing which are most appropriate. Collaborations are needed to define criteria for using PROs to guide regulatory decisions, and the utility of PROs for comparing and monitoring the quality of care and for allocating resources should be evaluated. New sources for recording PROs include wearable digital health devices, medical registries, and electronic health record. Advice is given for the optimal use of PROs in shared clinical decision-making in cardiovascular medicine, and concerning future directions for their wider application.

Data standards for transcatheter aortic valve implantation: the European Unified Registries for Heart Care Evaluation and Randomised Trials (EuroHeart)

AIMS

Standardized data definitions are necessary for the quantification of quality of care and patient outcomes in observational studies and randomised controlled trials (RCTs). The European Unified Registries for Heart Care Evaluation and Randomised Trials (EuroHeart) project of the European Society of Cardiology (ESC) aims to create pan-European data standards for cardiovascular diseases and interventions, including transcatheter aortic valve implantation (TAVI).

METHODS AND RESULTS

We followed the EuroHeart methodology for cardiovascular data standard development. A Working Group of 29 members representing 12 countries was established and included a patient representative, as well as experts in the management of valvular heart disease from the European Association of Percutaneous Cardiovascular Interventions (EAPCI), the European Association of Cardiovascular Imaging (EACVI) and the Working Group on Cardiovascular Surgery. We conducted a systematic review of the literature and used a modified Delphi method to reach consensus on a final set of variables. For each variable, the Working Group provided a definition, permissible values, and categorized the variable as mandatory (Level 1) or additional (Level 2) based on its clinical importance and feasibility. In total, 93 Level 1 and 113 Level 2 variables were selected, with the level 1 variables providing the dataset for registration of patients undergoing TAVI on the EuroHeart IT platform.

CONCLUSION

This document provides details of the EuroHeart data standards for TAVI processes of care and in-hospital outcomes. In the context of EuroHeart, this will facilitate quality improvement, observational research, registry-based RCTs and post-marketing surveillance of devices, and pharmacotherapies.

ONE-SENTENCE SUMMARY

The EuroHeart data standards for transcatheter aortic valve implantation (TAVI) are a set of internationally agreed data variables and definitions that once implemented will facilitate improvement of quality of care and outcomes for patients receiving TAVI.

Association between heart failure quality of care and mortality: a population-based cohort study using nationwide registries

AIMS

To evaluate the quality of heart failure (HF) care using the European Society of Cardiology (ESC) quality indicators (QIs) for HF and to assess whether better quality of care is associated with improved outcomes.

METHODS AND RESULTS

We performed a nationwide cohort study using the Swedish HF registry, consisting of patients with any type of HF at their first outpatient visit or hospitalization. Independent participant data for quality of HF care was evaluated against the ESC QIs for HF, and association with mortality estimated using multivariable Cox regression. In total, 43 704 patients from 80 hospitals across Sweden enrolled between 2013-2019 were included, with median follow-up 23.6 months. Of the 16 QIs for HF, 13 could be measured and 5 were inversely associated with all-cause mortality during follow-up. Higher attainment (≥50% vs. <50% attainment) of the composite opportunity-based score (combination of QIs into a single score) for patients with reduced ejection fraction was associated with lower all-cause mortality (adjusted hazard ratio 0.81; 95% confidence interval 0.72-0.91). Attainment of the composite score was less in the outpatient than inpatient setting (adjusted odds ratio 0.85; 95% confidence interval 0.72-0.99). Quality of care varied across hospitals, with assessment of health-related quality of life being the indicator with the widest variation in attainment (interquartile range 61.7%).

CONCLUSION

Quality of HF care may be measured using the ESC HF QIs. In Sweden, attainment of HF care evaluated using the QIs demonstrated between and within hospital variation, and many QIs were inversely associated with mortality.