Literature DB >> 27822090

The Danish Heart Failure Registry.

Inge Schjødt1, Anne Nakano2, Kenneth Egstrup3, Charlotte Cerqueira4.   

Abstract

AIM OF DATABASE: The aim of the Danish Heart Failure Registry (DHFR) is to monitor and improve the care of patients with incident heart failure (HF) in Denmark. STUDY POPULATION: The DHFR includes inpatients and outpatients (≥18 years) with incident HF. Reporting to the DHFR is mandatory for the Danish hospital departments treating patients with incident HF. Final decision to register a patient in the DHFR is made by a cardiologist to ensure the validity of the diagnosis. Approximately 42,400 patients with incident HF were registered in the DHFR in July 2015. MAIN VARIABLES AND DESCRIPTIVE DATA: The main variables recorded in the DHFR are related to the indicators for quality of care in patients with incident HF: performance of echocardiography, functional capacity (New York Heart Association functional classification), pharmacological therapy (angiotensin converting enzyme/angiotensin II antagonist inhibitors, beta-blockers, and mineralocorticoid receptor antagonist), nonpharmacological therapy (physical training, patient education), 4-week readmission rate, and 1-year mortality. Furthermore, basic patient characteristics and prognostic factors (eg, smoking and alcohol) are recorded. At the annual national audit in the DHFR, the indicators and standards for good clinical quality of care for patients with HF are discussed, and recommendations are reported back to clinicians to promote quality improvement initiatives. Furthermore, results and recommendations are communicated to the public in an annual report. All standards for the quality indicators have been met at a national level since 2014. Indicators for treatment status 1 year after diagnosis are under consideration (now prevalent HF).
CONCLUSION: The DHFR is a valuable tool for continuous improvement of quality of care in patients with incident HF in Denmark. Furthermore, it is an important resource for the Danish registry-based HF research.

Entities:  

Keywords:  heart failure; indicators; processes of care; quality; quality improvement; registry; variables

Year:  2016        PMID: 27822090      PMCID: PMC5094638          DOI: 10.2147/CLEP.S99504

Source DB:  PubMed          Journal:  Clin Epidemiol        ISSN: 1179-1349            Impact factor:   4.790


Introduction

The Danish Heart Failure Registry (DHFR) is a nationwide registry established in 2003 as a part of a large nationwide quality improvement initiative aimed at monitoring and improving the quality of care for patients with specific severe diseases, including heart failure (HF).1 Reporting to the DHFR is mandatory for all hospital departments treating patients with incident HF. The DHFR achieved complete nationwide coverage in 2005.

Aim of database

The aim of the DHFR is to monitor and support implementation of evidence-based treatment and care of patients with incident HF, and it is anticipated that it will improve the overall performance in patients with HF.

Study population

The DHFR includes data on inpatients and outpatients with incident HF. The HF diagnosis is made by a cardiologist using the criteria of the European Society of Cardiology.2 At discharge or at the first outpatient contact, patients with one of the following diagnoses (primary diagnosis) are screened for inclusion in the DHFR: I11.0, I13.0, I13.2, I42.0, I42.6, I42.7, I42.9, I50.0, I50.1, and I50.9. All diagnoses are made in accordance with the International Classification of Diseases 10th edition, which has been used for all admissions and outpatient contacts in Denmark since 1995. Patients enrolled in the DHFR have to meet the following inclusion criteria: age 18 years or older, a first time hospital contact with HF as the primary diagnosis, and symptoms of HF, usually dyspnea, increased fatigue, fluid retention, and objective signs of HF at rest, for example, reduced systolic function and/or diastolic dysfunction/elevated filling pressure and/or clinical response to specific HF treatment. Thus, enrollment in the registry requires both manifestation of symptoms and objective signs of HF at rest and/or response to treatment of HF. Exclusion criteria are previously verified diagnosis and treatment of HF, isolated right-sided HF, and HF secondary to valvular heart diseases, noncorrectable structural heart diseases, or tachycardia-induced HF (often atrial fibrillation). Furthermore, patients discharged with a diagnosis of acute myocardial infarction and concomitant HF are not included. These patients will be included if they are later hospitalized with HF or are referred to an outpatient cardiology clinic for treatment of HF. Only patients with a Danish unique personal identification number (CPR number) are enrolled in the database, allowing accurate linkage between the DHFR and other nationwide administrative registries at the individual level. The decision to register a patient in the DHFR is made by a cardiologist to ensure the validity of the incident HF diagnosis according to the inclusion and exclusion criteria. By July 2015, the DHFR contained data on ~42,400 patients with incident HF. Each year, 3,700–3,900 patients with incident HF are registered in the DHFR. Patients in the DHFR are selected in accordance with the exclusion criteria to establish a homogeneous population with HF. Thus, the DHFR will not reflect the total incidence of HF in the general Danish population due to inclusion and exclusion criteria. Moreover, less-severe cases of HF may be treated in the primary health care sector (general practice) and these cases are not recorded in the DHFR.

Main variables

The variables recorded in the DHFR are related to basic characteristics, prognostic factors, diagnostic tests, functional capacity (symptom severity), pharmacological therapy, nonpharmacological therapy, readmission, and mortality (Table 1). The quality indicators consist of five processes and two outcome indicators3 defined by the DHFR multi disciplinary board to monitor good clinical quality of treatment and care for patients with incident HF. The indicators are echocardiography, New York Heart Association functional classification, medications, physical training, patient education, rate of readmission, and mortality (Table 2). Both the prognostic factors and the evidence-based quality indicators are based on national4 and international guidelines.2,5
Table 1

Main variables in the Danish Heart Failure Registry

Main groupVariableDescription/comments
Basic characteristicsCivil registration numberUnique personal identification number including date of birth and sex
Age
Sex
Status of hospital contactInpatient or outpatient
Date of admission/outpatient contact
Date of dischargeOnly hospitalized patients
Status at dischargeAlive or dead
Discharge diagnosisI11.0, I13.0, I13.2, I42.0, I42.6, I42.7, I42.9, I50.0, I50.1, and I50.9 (ICD-10)
Prognostic factorsAcute myocardial infarctionYes or no
StrokeYes or no
DiabetesYes or no
COPDYes or no
HypertensionYes or no
Serum creatinine ≥150 μmol/LYes or no
ElectrocardiogramYes or no
Heart rhythmSR, AF/AFL, or other
Alcohol intake≤14/21 units per week, >14/21 units per week or na
SmokingSmoker, previous smoker, never smoker, or na
Diagnostic testEchocardiographyYes, date for echocardiography or no. If yes, the exact value for LVEF or LVEF <25%, 25% ≤ LVEF ≤ 35%, 35% < LVEF ≤ 40%, 40% < LVEF < 50%, LVEF ≥50%
Functional capacityNYHA functional classificationNYHA functional classification I, II, III, IV, or na
Pharmacological therapyStatus of ACE/ATII inhibitor treatment at first contactYes or no
Initiation of ACE/ATII inhibitor treatmentYes and starting date or no
Status of beta-blocker treatment at first contactYes or no
Initiation of beta-blocker treatmentYes and starting date or no
Status of MRA at first contactYes or no
Initiation of MRA treatmentYes and starting date or no
Nonpharmacological therapyPhysical trainingYes and starting date of training in hospital or date for referral to training in municipality or no
Patient educationYes and starting date or no
Readmission4-week rate of acute readmissionYes and date for readmission or no
Mortality1-year mortalityAlive or dead according to the Danish Civil Registration System

Abbreviations: ACE/ATII, angiotensin converting enzyme/angiotensin II antagonist; AF/AFL, atrial fibrillation/atrial flutter; COPD, chronic obstructive pulmonary disease; ICD-10, International Classification of Diseases 10th edition; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; na, not available; NYHA functional classification, New York Heart Association functional classification; SR, sinus rhythm.

Table 2

Process and outcome indicators in the Danish Heart Failure Registry

Indicator areaIndicatorTime frameTypeStandard (%)
EchocardiographyProportion of patients who undergo echocardiography≤6 months before or ≤7 weekdays after admission or first outpatient contactProcess≥90
NYHA functional classificationProportion of patients who undergo NYHA functional classification≤12 weeks after admission or first outpatient contactProcess≥90
MedicationProportion of patients with reduced systolic function (LVEF ≤40%) treated with ACE/ATII inhibitors≤8 weeks after admission or first outpatient contactProcess≥90
Proportion of patients with reduced systolic function (LVEF ≤40%) treated with beta-blockers≤12 after admission or first outpatient contactProcess≥80
Proportion of patients with reduced systolic function (LVEF ≤35%) treated with MRA≤12 weeks after admission or first outpatient contactProcess≥35
Physical trainingProportion of patients with reduced systolic function (LVEF ≤40%) referred to individual physical training≤12 weeks after admission or first outpatient contactProcess≥30
Patient educationProportion of patients with reduced systolic function (LVEF ≤40%) who were started on a structured patient education≤12 weeks after admission or first outpatient contactProcess≥80
ReadmissionProportion of patients hospitalized acutely within 4 weeks after discharge or first outpatient contact≤4 weeks after discharge from the hospital or first outpatient contactOutcome≤10
MortalityProportion of patients who die 1 year after admission to hospital or first outpatient contact≤1 year after admission or first outpatient contactOutcome≤20

Abbreviations: ACE/ATII, angiotensin converting enzyme/angiotensin II antagonist; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; NYHA functional classification, New York Heart Association functional classification.

The use of echocardiography and New York Heart Association functional classification, 4-week readmission rate, and 1-year mortality are reported for all patients, whereas the use of angiotensin converting enzyme/angiotensin II antagonist inhibitors and beta-blockers, physical training, and patient education are evaluated in patients with systolic HF and left ventricular ejection fraction ≤40%. The use of mineralocorticoid receptor antagonist is evaluated in patients with left ventricular ejection fraction ≤35%. Until now, the DHFR only contains information about patients with incident HF. At the audit conducted in 2015, the multidisciplinary board decided to supplement the registry with qualitative indicators for treatment status of the patients’ treatment 1 year after diagnosis. Data are registered for patients with HF admitted to hospital or at first outpatient visit by a cardiologist and the nursing staff. The process for registration of data has been developed to ensure data accuracy and for standardizing procedures for all clinicians.6 The DHFR board is obliged to ensure that the indicators reflect the quality of HF treatment and that the collection of data is simple and feasible in routine clinical settings. Systematic literature reviews are performed regularly, and the latest review was conducted in 2015.7 Local, regional, and national audits are conducted yearly. Performance data, completeness of registered patients, and variables are reported for each hospital department, region, and at a national level, making comparison of data possible. At the annual national audit in the DHFR, the indicators and standards for good clinical quality in treatment and care for patients with HF are discussed and recommendations are reported back to clinicians and communicated to the public in the final annual report. Furthermore, the board decides whether any changes to the quality measures are warranted, and discusses potential new indicators. In 2014 and 2015, all indicators were met at a national level.8 The coverage and completeness of indicator variables and prognostic factors from 2004 to 2015 are shown in Table 3. The completeness of the reported variables for each indicator was between 91% and 100% in 2015.8
Table 3

Coverage and completeness of indicator variables and prognostic factors 2004 to 2015

Annual report, year200420052006200720082009201020112012201320142015
Number of patients2,5982,4522,4292,7312,9963,2293,4473,8763,9093,9573,6313,735
Coverage, national level (%)na76*69*73*72**79848283848182
Completeness of indicator variables*** (%)
 Echocardiography941001001001009910099100100100100
  NYHA functional classification9410010010099100100100100100100100
 ACE/ATII inhibitorsna6781858587868992939394
 Beta-blockersna3652608790878992939394
 MRAna617248589868790909192
 Physical training516883838687848789898891
 Patient education637889888788858891919293
 Readmissionna100100100991001009999100100100
 Mortalityna100100100100100100100100100100100
Completeness of prognostic factors (%)
 Smokingnana79828584868889929392
 Alcoholnana71757880828385898889
 LVEF727381869092939798999999
 Creatininenananananana10010010010010098
 AMI808189929898989998999999
 Stroke727285889898989998989898
 Hypertension767787919999999999999999
 COPD717285889898989998999998
 Diabetes767789939999999999999999

Notes:

Self-reported coverage. From 2009, coverage is estimated from the registration of patients in the Danish National Patient Register.

Self-reported coverage. In 2008, coverage was also estimated from the Danish National Patient Register, reaching only 43%.

Data completeness refers to whether or not all the information necessary to estimate the indicator was available in the data resource.

Abbreviations: ACE/ATII, angiotensin converting enzyme/angiotensin II antagonist; AMI, acute myocardial infarction; COPD, chronic obstructive pulmonary disease; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; na, not available; NYHA functional classification, New York Heart Association functional classification.

Only patients with a first time primary diagnosis of HF are included in the registry. We assume that careful screening of the patients by a cardiologist means that virtually all patients included in the database have HF. But a precise validation of the accuracy has not been performed. The coverage of the DHFR is routinely evaluated by matching data with the administrative data in the Danish National Patient Register,9 which includes data on all hospital contacts in Denmark since 1977. A total of 82% of incident HF cases had been recorded in the DHFR in 2015.8 This relatively low coverage may partly be explained by patients being treated for HF in the hospital and, thus, registered accordingly in the Danish National Patient Register, but not meeting the inclusion/exclusion criteria for entry into the DHFR. To obtain high coverage of the registry, a continuous effort by the departments is performed to review the lists of inpatients and outpatients with the primary diagnosis of HF and to assess whether the inclusion and exclusion criteria in the DHFR are fulfilled.

Follow-up

Six of the seven indicators selected in the DHFR are related to care processes and outcome within a period of 12 weeks from the date for first contact to either hospital or outpatient clinic. Information on the seventh indicator on 1-year mortality is obtained from the Danish Civil Registration System,10 where vital status is updated continuously. The participating departments receive regular feedback on their performance regarding the process indicators to ensure data validation and to support quality improvement.

Examples of research

The population-based data and a high number of patients with incident systolic and nonsystolic HF makes the DHFR data suitable for clinical epidemiology research. A study has shown a substantial improvement in the DHFR process indicators from 2003 to 2010 among patients diagnosed with incident HF. In the same period, the 1-year mortality decreased from 20.5% to 12.8%.11 An analysis based on the DHFR and demographic data indicates that HF is not diagnosed and treated adequately in people above 75 years.12 Studies on patients with systolic HF in the DHFR indicate equal effect of different types of angiotensin converting enzyme inhibitors and beta-blockers on mortality in patients with HF.13,14

Administrative issues and funding

The DHFR is funded and operated by the Danish Clinical Registries,15 which are financed and owned by the five Danish regions. A clinical epidemiologist and a quality consultant from the Danish Clinical Registries are affiliated to the DHFR. The epidemiologist has the responsibility for the analytical methods, analysis of data, and interpretation of results in the DHFR. The quality consultant is responsible for communication and support to the DHFR as well as communication with the participating hospitals.

Conclusion

The DHFR is a valuable tool for improving the quality of care for patients with HF and a valuable source for research. Since the establishment in 2003, the care of patients with incident HF admitted to the Danish hospitals and registered in the DHFR has improved with a higher level of achievement of quality indicators and declining 1-year mortality.
  10 in total

1.  Defining and classifying clinical indicators for quality improvement.

Authors:  Jan Mainz
Journal:  Int J Qual Health Care       Date:  2003-12       Impact factor: 2.038

2.  National quality measurement using clinical indicators: the Danish National Indicator Project.

Authors:  Jan Mainz; Anne-Marie Hansen; Torben Palshof; Paul D Bartels
Journal:  J Surg Oncol       Date:  2009-06-15       Impact factor: 3.454

3.  2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines.

Authors:  Clyde W Yancy; Mariell Jessup; Biykem Bozkurt; Javed Butler; Donald E Casey; Mark H Drazner; Gregg C Fonarow; Stephen A Geraci; Tamara Horwich; James L Januzzi; Maryl R Johnson; Edward K Kasper; Wayne C Levy; Frederick A Masoudi; Patrick E McBride; John J V McMurray; Judith E Mitchell; Pamela N Peterson; Barbara Riegel; Flora Sam; Lynne W Stevenson; W H Wilson Tang; Emily J Tsai; Bruce L Wilkoff
Journal:  J Am Coll Cardiol       Date:  2013-06-05       Impact factor: 24.094

4.  Comparative effectiveness of bisoprolol and metoprolol succinate in patients with heart failure.

Authors:  Björn Pasternak; Anders Mattsson; Henrik Svanström; Anders Hviid
Journal:  Int J Cardiol       Date:  2015-04-18       Impact factor: 4.164

5.  ESC guidelines for the diagnosis and treatment of acute and chronic heart failure 2012: The Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2012 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association (HFA) of the ESC.

Authors:  John J V McMurray; Stamatis Adamopoulos; Stefan D Anker; Angelo Auricchio; Michael Böhm; Kenneth Dickstein; Volkmar Falk; Gerasimos Filippatos; Cândida Fonseca; Miguel Angel Gomez-Sanchez; Tiny Jaarsma; Lars Køber; Gregory Y H Lip; Aldo Pietro Maggioni; Alexander Parkhomenko; Burkert M Pieske; Bogdan A Popescu; Per K Rønnevik; Frans H Rutten; Juerg Schwitter; Petar Seferovic; Janina Stepinska; Pedro T Trindade; Adriaan A Voors; Faiez Zannad; Andreas Zeiher; Jeroen J Bax; Helmut Baumgartner; Claudio Ceconi; Veronica Dean; Christi Deaton; Robert Fagard; Christian Funck-Brentano; David Hasdai; Arno Hoes; Paulus Kirchhof; Juhani Knuuti; Philippe Kolh; Theresa McDonagh; Cyril Moulin; Bogdan A Popescu; Zeljko Reiner; Udo Sechtem; Per Anton Sirnes; Michal Tendera; Adam Torbicki; Alec Vahanian; Stephan Windecker; Theresa McDonagh; Udo Sechtem; Luis Almenar Bonet; Panayiotis Avraamides; Hisham A Ben Lamin; Michele Brignole; Antonio Coca; Peter Cowburn; Henry Dargie; Perry Elliott; Frank Arnold Flachskampf; Guido Francesco Guida; Suzanna Hardman; Bernard Iung; Bela Merkely; Christian Mueller; John N Nanas; Olav Wendelboe Nielsen; Stein Orn; John T Parissis; Piotr Ponikowski
Journal:  Eur J Heart Fail       Date:  2012-08       Impact factor: 15.534

6.  [The Danish National Quality Project about heart failure indicates lack of reporting and treatment of the elderly].

Authors:  Line Lisbeth Olesen
Journal:  Ugeskr Laeger       Date:  2014-09-22

7.  Use of different types of angiotensin converting enzyme inhibitors and mortality in systolic heart failure.

Authors:  Henrik Svanström; Björn Pasternak; Mads Melbye; Anders Hviid
Journal:  Int J Cardiol       Date:  2014-12-27       Impact factor: 4.164

Review 8.  The Danish Civil Registration System as a tool in epidemiology.

Authors:  Morten Schmidt; Lars Pedersen; Henrik Toft Sørensen
Journal:  Eur J Epidemiol       Date:  2014-06-26       Impact factor: 8.082

Review 9.  The Danish National Patient Registry: a review of content, data quality, and research potential.

Authors:  Morten Schmidt; Sigrun Alba Johannesdottir Schmidt; Jakob Lynge Sandegaard; Vera Ehrenstein; Lars Pedersen; Henrik Toft Sørensen
Journal:  Clin Epidemiol       Date:  2015-11-17       Impact factor: 4.790

10.  Trends in quality of care among patients with incident heart failure in Denmark 2003-2010: a nationwide cohort study.

Authors:  Anne Nakano; Søren Paaske Johnsen; Birgitte Lidegaard Frederiksen; Marie Louise Svendsen; Carsten Agger; Inge Schjødt; Kenneth Egstrup
Journal:  BMC Health Serv Res       Date:  2013-10-05       Impact factor: 2.655

  10 in total
  11 in total

1.  Cohort profile: Copenhagen Hospital Biobank - Cardiovascular Disease Cohort (CHB-CVDC): Construction of a large-scale genetic cohort to facilitate a better understanding of heart diseases.

Authors:  Ina H Laursen; Karina Banasik; Amalie D Haue; Oscar Petersen; Peter C Holm; David Westergaard; Henning Bundgaard; Søren Brunak; Ruth Frikke-Schmidt; Hilma Holm; Erik Sørensen; Lise W Thørner; Margit A H Larsen; Michael Schwinn; Lars Køber; Christian Torp-Pedersen; Sisse R Ostrowski; Christian Erikstrup; Mette Nyegaard; Hreinn Stefánsson; Arnaldur Gylfason; Florian Zink; G Bragi Walters; Asmundur Oddsson; Guðmar Þorleifsson; Gisli Másson; Unnur Thorsteinsdottir; Daniel Gudbjartsson; Ole B Pedersen; Kári Stefánsson; Henrik Ullum
Journal:  BMJ Open       Date:  2021-12-30       Impact factor: 3.006

2.  Benchmarking Danish hospitals on mortality and readmission rates after cardiovascular admission.

Authors:  Greg Ridgeway; Mette Nørgaard; Thomas Bøjer Rasmussen; William D Finkle; Lars Pedersen; Hans Erik Bøtker; Henrik Toft Sørensen
Journal:  Clin Epidemiol       Date:  2019-01-04       Impact factor: 4.790

3.  Long-Term Mortality Associated With Use of Carvedilol Versus Metoprolol in Heart Failure Patients With and Without Type 2 Diabetes: A Danish Nationwide Cohort Study.

Authors:  Brian Schwartz; Colin Pierce; Christian Madelaire; Morten Schou; Søren Lund Kristensen; Gunnar H Gislason; Lars Køber; Christian Torp-Pedersen; Charlotte Andersson
Journal:  J Am Heart Assoc       Date:  2021-09-17       Impact factor: 5.501

4.  The role of the clinical departments for understanding patient heterogeneity in one-year mortality after a diagnosis of heart failure: A multilevel analysis of individual heterogeneity for profiling provider outcomes.

Authors:  Nermin Ghith; Anne Frølich; Juan Merlo
Journal:  PLoS One       Date:  2017-12-06       Impact factor: 3.240

5.  Use of histamine H2 receptor antagonists and outcomes in patients with heart failure: a nationwide population-based cohort study.

Authors:  Kasper Adelborg; Jens Sundbøll; Morten Schmidt; Hans Erik Bøtker; Noel S Weiss; Lars Pedersen; Henrik Toft Sørensen
Journal:  Clin Epidemiol       Date:  2018-05-07       Impact factor: 4.790

6.  Design and methodology of heart failure registry: Results of the Persian registry of cardiovascular disease.

Authors:  Mahshid Givi; Kiyan Heshmat-Ghahdarijani; Mohammad Garakyaraghi; Ghasem Yadegarfar; Mehrbod Vakhshoori; Maryam Heidarpour; Davood Shafie; Nizal Sarrafzadegan
Journal:  ARYA Atheroscler       Date:  2019-09

7.  Inequalities in heart failure care in a tax-financed universal healthcare system: a nationwide population-based cohort study.

Authors:  Inge Schjødt; Søren P Johnsen; Anna Strömberg; Jan B Valentin; Brian B Løgstrup
Journal:  ESC Heart Fail       Date:  2020-08-07

8.  Clinical characteristics and outcomes of patients admitted with acute heart failure: insights from a single-center heart failure registry in South India.

Authors:  Aashiq Ahamed Shukkoor; Nimmy Elizabeth George; Shanmugasundaram Radhakrishnan; Sivakumar Velusamy; Rajendiran Gopalan; Tamilarasu Kaliappan; Premkrishna Anandan; Ramasamy Palanimuthu; Vidhyakar Balasubramaniam; Vinoth Doraiswamy; Arun Kaushik Ponnusamy
Journal:  Egypt Heart J       Date:  2021-05-01

9.  Newly diagnosed atrial fibrillation and hospital utilization in heart failure: a nationwide cohort study.

Authors:  Nicklas Vinter; Pia Cordsen; Gregory Y H Lip; Emelia J Benjamin; Ludovic Trinquart; Søren Paaske Johnsen; Lars Frost
Journal:  ESC Heart Fail       Date:  2021-11-02

10.  Evidence-Based Process Performance Measures and Clinical Outcomes in Patients With Incident Heart Failure With Reduced Ejection Fraction: A Danish Nationwide Cohort Study.

Authors:  Inge Schjødt; Søren P Johnsen; Anna Strömberg; Adam D DeVore; Jan B Valentin; Brian B Løgstrup
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2022-03-11
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