BACKGROUND: Left ventricular ejection fraction is a powerful independent predictor of survival in cardiac patients, especially those with coronary artery disease. Delayed-enhancement magnetic resonance imaging (DE-MRI) can accurately identify irreversible myocardial injury with high spatial and contrast resolution. To date, relatively limited data are available on the prognostic value of DE-MRI, so we sought to determine whether DE-MRI findings independently predict survival. METHODS AND RESULTS: The medical records of 857 consecutive patients who had complete cine and DE-MRI evaluation at a tertiary care center were reviewed regardless of whether the patients had coronary artery disease. The presence and extent of myocardial scar were evaluated qualitatively by a single experienced observer. The primary, composite end point was all-cause mortality or cardiac transplantation. Survival data were obtained from the Social Security Death Index. The median follow-up was 4.4 years; 252 patients (29%) reached one of the end points. Independent predictors of mortality or transplantation included congestive heart failure, ejection fraction, and age (P<0.0001 for each), as well as scar index (hazard ratio, 1.26; 95% confidence interval, 1.02 to 1.55; P=0.033). Similarly, in subsets of patients with or without coronary artery disease, scar index also independently predicted mortality or transplantation (hazard ratio, 1.33; 95% confidence interval, 1.05 to 1.68; P=0.018; and hazard ratio, 5.65; 95% confidence interval, 1.74 to 18.3; P=0.004, respectively). Cox regression analysis showed worse outcome in patients with any DE in addition to depressed left ventricular ejection fraction (<50%). CONCLUSIONS: The degree of DE detected by DE-MRI appears to strongly predict all-cause mortality or cardiac transplantation after adjustment for traditional, well-known prognosticators.
BACKGROUND: Left ventricular ejection fraction is a powerful independent predictor of survival in cardiac patients, especially those with coronary artery disease. Delayed-enhancement magnetic resonance imaging (DE-MRI) can accurately identify irreversible myocardial injury with high spatial and contrast resolution. To date, relatively limited data are available on the prognostic value of DE-MRI, so we sought to determine whether DE-MRI findings independently predict survival. METHODS AND RESULTS: The medical records of 857 consecutive patients who had complete cine and DE-MRI evaluation at a tertiary care center were reviewed regardless of whether the patients had coronary artery disease. The presence and extent of myocardial scar were evaluated qualitatively by a single experienced observer. The primary, composite end point was all-cause mortality or cardiac transplantation. Survival data were obtained from the Social Security Death Index. The median follow-up was 4.4 years; 252 patients (29%) reached one of the end points. Independent predictors of mortality or transplantation included congestive heart failure, ejection fraction, and age (P<0.0001 for each), as well as scar index (hazard ratio, 1.26; 95% confidence interval, 1.02 to 1.55; P=0.033). Similarly, in subsets of patients with or without coronary artery disease, scar index also independently predicted mortality or transplantation (hazard ratio, 1.33; 95% confidence interval, 1.05 to 1.68; P=0.018; and hazard ratio, 5.65; 95% confidence interval, 1.74 to 18.3; P=0.004, respectively). Cox regression analysis showed worse outcome in patients with any DE in addition to depressed left ventricular ejection fraction (<50%). CONCLUSIONS: The degree of DE detected by DE-MRI appears to strongly predict all-cause mortality or cardiac transplantation after adjustment for traditional, well-known prognosticators.
Authors: Tomas G Neilan; Ravi V Shah; Siddique A Abbasi; Hoshang Farhad; John D Groarke; John A Dodson; Otavio Coelho-Filho; Ciaran J McMullan; Bobak Heydari; Gregory F Michaud; Roy M John; Rob van der Geest; Michael L Steigner; Ron Blankstein; Michael Jerosch-Herold; Raymond Y Kwong Journal: J Am Coll Cardiol Date: 2013-08-28 Impact factor: 24.094
Authors: Santanu Guha; S Harikrishnan; Saumitra Ray; Rishi Sethi; S Ramakrishnan; Suvro Banerjee; V K Bahl; K C Goswami; Amal Kumar Banerjee; S Shanmugasundaram; P G Kerkar; Sandeep Seth; Rakesh Yadav; Aditya Kapoor; Ajaykumar U Mahajan; P P Mohanan; Sundeep Mishra; P K Deb; C Narasimhan; A K Pancholia; Ajay Sinha; Akshyaya Pradhan; R Alagesan; Ambuj Roy; Amit Vora; Anita Saxena; Arup Dasbiswas; B C Srinivas; B P Chattopadhyay; B P Singh; J Balachandar; K R Balakrishnan; Brian Pinto; C N Manjunath; Charan P Lanjewar; Dharmendra Jain; Dipak Sarma; G Justin Paul; Geevar A Zachariah; H K Chopra; I B Vijayalakshmi; J A Tharakan; J J Dalal; J P S Sawhney; Jayanta Saha; Johann Christopher; K K Talwar; K Sarat Chandra; K Venugopal; Kajal Ganguly; M S Hiremath; Milind Hot; Mrinal Kanti Das; Neil Bardolui; Niteen V Deshpande; O P Yadava; Prashant Bhardwaj; Pravesh Vishwakarma; Rajeeve Kumar Rajput; Rakesh Gupta; S Somasundaram; S N Routray; S S Iyengar; G Sanjay; Satyendra Tewari; Sengottuvelu G; Soumitra Kumar; Soura Mookerjee; Tiny Nair; Trinath Mishra; U C Samal; U Kaul; V K Chopra; V S Narain; Vimal Raj; Yash Lokhandwala Journal: Indian Heart J Date: 2018-06-08
Authors: Jonathan D Kochav; Peter M Okin; Sean Wilson; Anika Afroz; Alfredo Renilla; Jonathan W Weinsaft Journal: Am J Cardiol Date: 2013-04-20 Impact factor: 2.778