Prognostic Value of Vasodilator Stress Cardiac Magnetic Resonance Imaging: A Multicenter Study With 48 000 Patient-Years of Follow-up

Importance Stress cardiac magnetic resonance imaging (CMR) is not widely used in current clinical practice, and its ability to predict patient mortality is unknown. Objective To determine whether stress CMR is associated with patient mortality. Design, Setting, and Participants Real-world evidence from consecutive clinically ordered CMR examinations. Multicenter study of patients undergoing clinical evaluation of myocardial ischemia. Patients with known or suspected coronary artery disease (CAD) underwent clinical vasodilator stress CMR at 7 different hospitals. An automated process collected data from the finalized clinical reports, deidentified and aggregated the data, and assessed mortality using the US Social Security Death Index. Main Outcomes and Measures All-cause patient mortality. Results Of the 9151 patients, the median (interquartile range) patient age was 63 (51-70) years, 55% were men, and the median (interquartile range) body mass index was 29 (25-33) (calculated as weight in kilograms divided by height in meters squared). The multicenter automated process yielded 9151 consecutive patients undergoing stress CMR, with 48 615 patient-years of follow-up. Of these patients, 4408 had a normal stress CMR examination, 4743 had an abnormal examination, and 1517 died during a median follow-up time of 5.0 years. Using multivariable analysis, addition of stress CMR improved prediction of mortality in 2 different risk models (model 1 hazard ratio [HR], 1.83; 95% CI, 1.63-2.06; P < .001; model 2: HR, 1.80; 95% CI, 1.60-2.03; P < .001) and also improved risk reclassification (net improvement: 11.4%; 95% CI, 7.3-13.6; P < .001). After adjustment for patient age, sex, and cardiac risk factors, Kaplan-Meier survival analysis showed a strong association between an abnormal stress CMR and mortality in all patients (HR, 1.883; 95% CI, 1.680-2.112; P < .001), patients with (HR, 1.955; 95% CI, 1.712-2.233; P < .001) and without (HR, 1.578; 95% CI, 1.235-2.2018; P < .001) a history of CAD, and patients with normal (HR, 1.385; 95% CI, 1.194-1.606; P < .001) and abnormal left ventricular ejection fraction (HR, 1.836; 95% CI, 1.299-2.594; P < .001). Conclusions and Relevance Clinical vasodilator stress CMR is associated with patient mortality in a large, diverse population of patients with known or suspected CAD as well as in multiple subpopulations defined by history of CAD and left ventricular ejection fraction. These findings provide a foundational motivation to study the comparative effectiveness of stress CMR against other modalities.

[1]  W. Rottbauer,et al.  Comparing Cardiac Magnetic Resonance-Guided Versus Angiography-Guided Treatment of Patients With Stable Coronary Artery Disease: Results From a Prospective Randomized Controlled Trial. , 2018, JACC. Cardiovascular imaging.

[2]  Amedeo Chiribiri,et al.  Prognostic Value of Quantitative Stress Perfusion Cardiac Magnetic Resonance , 2017, JACC. Cardiovascular imaging.

[3]  R. Califf,et al.  Real-World Evidence - What Is It and What Can It Tell Us? , 2016, The New England journal of medicine.

[4]  Jane Nixon,et al.  A selection of recent, original research papers , 2016, Journal of Nuclear Cardiology.

[5]  J. Greene,et al.  Assessing the Gold Standard--Lessons from the History of RCTs. , 2016, The New England journal of medicine.

[6]  D. Newby,et al.  Diagnostic Strategies for the Evaluation of Chest Pain: Clinical Implications From SCOT-HEART and PROMISE. , 2016, Journal of the American College of Cardiology.

[7]  A. Farzaneh-Far,et al.  Downstream clinical consequences of stress cardiovascular magnetic resonance based on appropriate use criteria , 2015, Journal of Cardiovascular Magnetic Resonance.

[8]  A. Jaffe,et al.  A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines , 2015 .

[9]  A. Jaffe,et al.  2014 AHA/ACC guideline for the management of patients with non-ST-elevation acute coronary syndromes: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. , 2014, Circulation.

[10]  R. Kim,et al.  Stress cardiac MR imaging compared with stress echocardiography in the early evaluation of patients who present to the emergency department with intermediate-risk chest pain. , 2014, Radiology.

[11]  A. Farzaneh-Far,et al.  Assessment of global myocardial perfusion reserve using cardiovascular magnetic resonance of coronary sinus flow at 3 Tesla , 2014, Journal of Cardiovascular Magnetic Resonance.

[12]  I. Tannock,et al.  Randomised controlled trials and population-based observational research: partners in the evolution of medical evidence , 2014, British Journal of Cancer.

[13]  M. Drazner,et al.  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. , 2013, Journal of the American College of Cardiology.

[14]  R. Kwong,et al.  Impact of cardiovascular magnetic resonance on management and clinical decision-making in heart failure patients , 2013, Journal of Cardiovascular Magnetic Resonance.

[15]  Christopher M. Kramer,et al.  Prognostic value of stress cardiac magnetic resonance imaging in patients with known or suspected coronary artery disease: a systematic review and meta-analysis. , 2013, Journal of the American College of Cardiology.

[16]  A. Soricelli,et al.  The Prognostic Value of Normal Stress Cardiac Magnetic Resonance in Patients With Known or Suspected Coronary Artery Disease: A Meta-analysis , 2013, Circulation. Cardiovascular imaging.

[17]  J. Schwitter,et al.  MR-IMPACT II: Magnetic Resonance Imaging for Myocardial Perfusion Assessment in Coronary artery disease Trial: perfusion-cardiac magnetic resonance vs. single-photon emission computed tomography for the detection of coronary artery disease: a comparative multicentre, multivendor trial. , 2013, European heart journal.

[18]  Biykem Bozkurt,et al.  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. , 2013, Circulation.

[19]  S. Plein,et al.  Cardiovascular magnetic resonance and single-photon emission computed tomography for diagnosis of coronary heart disease (CE-MARC): a prospective trial , 2012, The Lancet.

[20]  Hester F. Lingsma,et al.  Assessing the incremental value of diagnostic and prognostic markers: a review and illustration , 2012, European journal of clinical investigation.

[21]  Richard D. White,et al.  Prognostic Value of Routine Cardiac Magnetic Resonance Assessment of Left Ventricular Ejection Fraction and Myocardial Damage: An International, Multicenter Study , 2011, Circulation. Cardiovascular imaging.

[22]  R. Hachamovitch,et al.  Incremental Prognostic Significance of Combined Cardiac Magnetic Resonance Imaging, Adenosine Stress Perfusion, Delayed Enhancement, and Left Ventricular Function Over Preimaging Information for the Prediction of Adverse Events , 2011, Circulation.

[23]  Guido Germano,et al.  Impact of ischaemia and scar on the therapeutic benefit derived from myocardial revascularization vs. medical therapy among patients undergoing stress-rest myocardial perfusion scintigraphy. , 2011, European heart journal.

[24]  R. Kwong,et al.  Measuring myocardial scar by CMR. , 2011, JACC. Cardiovascular imaging.

[25]  M. Hamon,et al.  Meta-analysis of the diagnostic performance of stress perfusion cardiovascular magnetic resonance for detection of coronary artery disease , 2010, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[26]  Raymond J. Kim,et al.  Utilidad diagnóstica de la resonancia magnética cardiovascular en pacientes con dolor torácico, enzimas cardiacas elevadas y ausencia de obstrucción arterial coronaria , 2009 .

[27]  R. Kim,et al.  The diagnostic utility of cardiovascular magnetic resonance in patients with chest pain, elevated cardiac enzymes and non-obstructed coronary arteries. , 2009, Revista espanola de cardiologia.

[28]  Thomas H. Marwick,et al.  Prediction of All-Cause Mortality From Global Longitudinal Speckle Strain: Comparison With Ejection Fraction and Wall Motion Scoring , 2009, Circulation. Cardiovascular imaging.

[29]  F. Harrell,et al.  Criteria for Evaluation of Novel Markers of Cardiovascular Risk: A Scientific Statement From the American Heart Association , 2009, Circulation.

[30]  A. van Rossum,et al.  MR-IMPACT: comparison of perfusion-cardiac magnetic resonance with single-photon emission computed tomography for the detection of coronary artery disease in a multicentre, multivendor, randomized trial. , 2008, European heart journal.

[31]  M. Pencina,et al.  Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond , 2008, Statistics in medicine.

[32]  R. Carlos,et al.  Diagnostic performance of stress cardiac magnetic resonance imaging in the detection of coronary artery disease: a meta-analysis. , 2007, Journal of the American College of Cardiology.

[33]  Igor Klem,et al.  mproved Detection of Coronary rtery Disease by Stress Perfusion ardiovascular Magnetic Resonance With he Use of Delayed Enhancement Infarction Imaging , 2006 .

[34]  D. Berman,et al.  Determinants of risk and its temporal variation in patients with normal stress myocardial perfusion scans: what is the warranty period of a normal scan? , 2003, Journal of the American College of Cardiology.

[35]  E J Topol,et al.  Cause of death in clinical research: time for a reassessment? , 1999, Journal of the American College of Cardiology.

[36]  D. Berman,et al.  Incremental prognostic value of myocardial perfusion single photon emission computed tomography for the prediction of cardiac death: differential stratification for risk of cardiac death and myocardial infarction. , 1998, Circulation.

[37]  S. Connolly,et al.  Standardized Reporting of ICD Patient Outcome: The Report of a North American Society of Pacing and Electrophysiology Policy Conference, February 9–10, 1993 , 1993, Pacing and clinical electrophysiology : PACE.