REVeAL-HF Design and Rationale of a Pragmatic Randomized Controlled Trial Embedded Within Routine Clinical Practice

被引:24
作者
Ahmad, Tariq [1 ,2 ]
Yamamoto, Yu [2 ]
Biswas, Aditya [2 ]
Ghazi, Lama [2 ]
Martin, Melissa [2 ]
Simonov, Michael [3 ]
Hsiao, Allen [3 ]
Kashyap, Nitu [3 ]
Velazquez, Eric J. [1 ]
Desai, Nihar R. [1 ,2 ]
Wilson, F. Perry [2 ,4 ]
机构
[1] Yale Univ, Sch Med, Sect Cardiovasc Med, New Haven, CT USA
[2] Yale Univ, Sch Med, Clin & Translat Res Accelerator, New Haven, CT USA
[3] Yale Univ, Sch Med, Joint Data Analyt Team, New Haven, CT USA
[4] Yale Univ, Sch Med, Nephrol Sect, New Haven, CT USA
基金
美国国家卫生研究院;
关键词
acute heart failure; electronic health record; randomized controlled trial; DECOMPENSATED HEART-FAILURE; RISK STRATIFICATION; MORTALITY; ALERTS; MODELS;
D O I
10.1016/j.jchf.2021.03.006
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Heart failure (HF) is one of the most common causes of hospitalization in the United States and carries a significant risk of morbidity and mortality. Use of evidence-based interventions may improve outcomes, but their use is encumbered in part by limitations in accurate prognostication. The REVeAL-HF (Risk EValuation And its Impact on ClinicAL Decision Making and Outcomes in Heart Failure) trial is the first to definitively evaluate the impact of knowledge about prognosis on clinical decision making and patient outcomes. The REVeAL-HF trial is a pragmatic, completely electronic, randomized controlled trial that has completed enrollment of 3,124 adults hospitalized for HF, defined as having an N-terminal proB-type natriuretic peptide level of >500 pg/ml and receiving intravenous diuretic agents within 24 h of admission. Patients randomized to the intervention had their risk of 1-year mortality generated with information in the electronic health record and presented to their providers, who had the option to give feedback on their impression of this risk assessment. The authors are examining the impact of this information on clinical decision-making (use of HF pharmacotherapies, referral to electrophysiology, palliative care referral, and referral for advanced therapies like heart transplantation or mechanical circulatory support) and patient outcomes (length of stay, post-discharge 30-day rehospitalizations, and 1-year mortality). The REVeAL-HF trial will definitively examine whether knowledge about prognosis in HF has an impact on clinical decision making and patient outcomes. It will also examine the relationship between calculated, perceived, and real risk of mortality in this patient population. (C) 2021 Published by Elsevier on behalf of the American College of Cardiology Foundation.
引用
收藏
页码:409 / 419
页数:11
相关论文
共 41 条
[1]  
agu T, 2016, CIRC-HEART FAIL, V9
[2]   Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients [J].
Ahmad, Tariq ;
Lund, Lars H. ;
Rao, Pooja ;
Ghosh, Rohit ;
Warier, Prashant ;
Vaccaro, Benjamin ;
Dahlstrom, Ulf ;
O'Connor, Christopher M. ;
Felker, G. Michael ;
Desai, Nihar R. .
JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2018, 7 (08)
[3]   Clinical Implications of Cluster Analysis-Based Classification of Acute Decompensated Heart Failure and Correlation with Bedside Hemodynamic Profiles [J].
Ahmad, Tariq ;
Desai, Nihar ;
Wilson, Francis ;
Schulte, Phillip ;
Dunning, Allison ;
Jacoby, Daniel ;
Allen, Larry ;
Fiuzat, Mona ;
Rogers, Joseph ;
Felker, G. Michael ;
O'Connor, Christopher ;
Patel, Chetan B. .
PLOS ONE, 2016, 11 (02)
[4]   Clinical Implications of Chronic Heart Failure Phenotypes Defined by Cluster Analysis [J].
Ahmad, Tariq ;
Pencina, Michael J. ;
Schulte, Phillip J. ;
O'Brien, Emily ;
Whellan, David J. ;
Pina, Ileana L. ;
Kitzman, Dalane W. ;
Lee, Kerry L. ;
O'Connor, Christopher M. ;
Felker, G. Michael .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2014, 64 (17) :1765-1774
[5]   Use of Risk Models to Predict Death in the Next Year Among Individual Ambulatory Patients With Heart Failure [J].
Allen, Larry A. ;
Matlock, Daniel D. ;
Shetterly, Susan M. ;
Xu, Stanley ;
Levy, Wayne C. ;
Portalupi, Laura B. ;
McIlvennan, Colleen K. ;
Gurwitz, Jerry H. ;
Johnson, Eric S. ;
Smith, David H. ;
Magid, David J. .
JAMA CARDIOLOGY, 2017, 2 (04) :435-441
[6]  
[Anonymous], 2013, ED Manag, V26, P1
[7]   Acute heart failure [J].
Arrigo, Mattia ;
Jessup, Mariell ;
Mullens, Wilfried ;
Reza, Nosheen ;
Shah, Ajay M. ;
Sliwa, Karen ;
Mebazaa, Alexandre .
NATURE REVIEWS DISEASE PRIMERS, 2020, 6 (01)
[8]   Public health communications and alert fatigue [J].
Baseman, Janet G. ;
Revere, Debra ;
Painter, Ian ;
Toyoji, Mariko ;
Thiede, Hanne ;
Duchin, Jeffrey .
BMC HEALTH SERVICES RESEARCH, 2013, 13
[9]   Clinical Course of Patients With Worsening Heart Failure With Reduced Ejection Fraction [J].
Butler, Javed ;
Yang, Mei ;
Manzi, Massimiliano Alfonzo ;
Hess, Gregory P. ;
Patel, Mahesh J. ;
Rhodes, Thomas ;
Givertz, Michael M. .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2019, 73 (08) :935-944
[10]   Performance of Prognostic Risk Scores in Chronic Heart Failure Patients Enrolled in the European Society of Cardiology Heart Failure Long-Term Registry [J].
Canepa, Marco ;
Fonseca, Candida ;
Chioncel, Ovidiu ;
Laroche, Cecile ;
Crespo-Leiro, Maria G. ;
Coats, Andrew J. S. ;
Mebazaa, Alexandre ;
Piepoli, Massimo F. ;
Tavazzi, Luigi ;
Maggioni, Aldo P. .
JACC-HEART FAILURE, 2018, 6 (06) :452-462