BACKGROUND: Although implantable cardioverter-defibrillator (ICD) therapy reduces mortality in moderately symptomatic heart failure patients with an ejection fraction <or=35%, many such patients do not require ICD shocks over long-term follow-up. METHODS AND RESULTS: Using a modification of a previously validated risk prediction model based on routine clinical variables, we examined the relationship between baseline predicted mortality risk and the relative and absolute survival benefits of ICD treatment in the primary prevention Sudden Cardiac Death in Heart Failure Trial (SCD-HeFT). In the placebo arm, predicted 4-year mortality grouped into 5 equal-sized risk groups varied from 12% to 50% (c statistic=0.71), whereas the proportion of SCD in those same risk groups decreased from 52% to 24% of all deaths. ICD treatment decreased relative risk of SCD by 88% in the lowest-risk group versus 24% in the highest-risk group (P=0.009 for interaction) and decreased relative risk of total mortality by 54% in the lowest-risk group versus no benefit (2%) in the highest-risk group (P=0.014 for interaction). Absolute 4-year mortality reductions were 6.6%, 8.8%, 10.6%, 14.0%, and -4.9% across risk quintiles. In highest-risk patients (predicted annual mortality >20%), no benefit of ICD treatment was seen. Projected over each patient's predicted lifespan, ICD treatment added 6.3, 4.1, 3.0, 1.9, and 0.2 additional years of life in the lowest- to highest-risk groups, respectively. CONCLUSIONS: A clinical risk prediction model identified subsets of moderately symptomatic heart failure patients in SCD-HeFT in whom single-lead ICD therapy was of no benefit and other subsets in which benefit was substantial.
RCT Entities:
BACKGROUND: Although implantable cardioverter-defibrillator (ICD) therapy reduces mortality in moderately symptomatic heart failurepatients with an ejection fraction <or=35%, many such patients do not require ICD shocks over long-term follow-up. METHODS AND RESULTS: Using a modification of a previously validated risk prediction model based on routine clinical variables, we examined the relationship between baseline predicted mortality risk and the relative and absolute survival benefits of ICD treatment in the primary prevention Sudden Cardiac Death in Heart Failure Trial (SCD-HeFT). In the placebo arm, predicted 4-year mortality grouped into 5 equal-sized risk groups varied from 12% to 50% (c statistic=0.71), whereas the proportion of SCD in those same risk groups decreased from 52% to 24% of all deaths. ICD treatment decreased relative risk of SCD by 88% in the lowest-risk group versus 24% in the highest-risk group (P=0.009 for interaction) and decreased relative risk of total mortality by 54% in the lowest-risk group versus no benefit (2%) in the highest-risk group (P=0.014 for interaction). Absolute 4-year mortality reductions were 6.6%, 8.8%, 10.6%, 14.0%, and -4.9% across risk quintiles. In highest-risk patients (predicted annual mortality >20%), no benefit of ICD treatment was seen. Projected over each patient's predicted lifespan, ICD treatment added 6.3, 4.1, 3.0, 1.9, and 0.2 additional years of life in the lowest- to highest-risk groups, respectively. CONCLUSIONS: A clinical risk prediction model identified subsets of moderately symptomatic heart failurepatients in SCD-HeFT in whom single-lead ICD therapy was of no benefit and other subsets in which benefit was substantial.
Authors: Gust H Bardy; Kerry L Lee; Daniel B Mark; Jeanne E Poole; Douglas L Packer; Robin Boineau; Michael Domanski; Charles Troutman; Jill Anderson; George Johnson; Steven E McNulty; Nancy Clapp-Channing; Linda D Davidson-Ray; Elizabeth S Fraulo; Daniel P Fishbein; Richard M Luceri; John H Ip Journal: N Engl J Med Date: 2005-01-20 Impact factor: 91.245
Authors: Michael A Brodsky; John McAnulty; Douglas P Zipes; Christina Baessler; Alfred P Hallstrom Journal: Am Heart J Date: 2006-10 Impact factor: 4.749
Authors: Sharon Ann Hunt; William T Abraham; Marshall H Chin; Arthur M Feldman; Gary S Francis; Theodore G Ganiats; Mariell Jessup; Marvin A Konstam; Donna M Mancini; Keith Michl; John A Oates; Peter S Rahko; Marc A Silver; Lynne Warner Stevenson; Clyde W Yancy; Elliott M Antman; Sidney C Smith; Cynthia D Adams; Jeffrey L Anderson; David P Faxon; Valentin Fuster; Jonathan L Halperin; Loren F Hiratzka; Alice K Jacobs; Rick Nishimura; Joseph P Ornato; Richard L Page; Barbara Riegel Journal: Circulation Date: 2005-09-13 Impact factor: 29.690
Authors: M Packer; C M O'Connor; J K Ghali; M L Pressler; P E Carson; R N Belkin; A B Miller; G W Neuberg; D Frid; J H Wertheimer; A B Cropp; D L DeMets Journal: N Engl J Med Date: 1996-10-10 Impact factor: 91.245
Authors: Wayne C Levy; Dariush Mozaffarian; David T Linker; Santosh C Sutradhar; Stefan D Anker; Anne B Cropp; Inder Anand; Aldo Maggioni; Paul Burton; Mark D Sullivan; Bertram Pitt; Philip A Poole-Wilson; Douglas L Mann; Milton Packer Journal: Circulation Date: 2006-03-13 Impact factor: 29.690
Authors: Douglas S Lee; Jack V Tu; Peter C Austin; Paul Dorian; Raymond Yee; Alice Chong; David A Alter; Andreas Laupacis Journal: J Am Coll Cardiol Date: 2007-06-11 Impact factor: 24.094
Authors: Ariel R Green; Bruce Leff; Yongfei Wang; Erica S Spatz; Frederick A Masoudi; Pamela N Peterson; Stacie L Daugherty; Daniel D Matlock Journal: Circ Cardiovasc Qual Outcomes Date: 2015-12-29
Authors: Bonnie Ky; Benjamin French; Wayne C Levy; Nancy K Sweitzer; James C Fang; Alan H B Wu; Lee R Goldberg; Mariell Jessup; Thomas P Cappola Journal: Circ Heart Fail Date: 2012-02-23 Impact factor: 8.790
Authors: Birgit Assmus; Samer Alakmeh; Salvatore De Rosa; Halvard Bönig; Eva Hermann; Wayne C Levy; Stefanie Dimmeler; Andreas M Zeiher Journal: Eur Heart J Date: 2015-10-29 Impact factor: 29.983
Authors: Inna Y Gong; Payam Yazdan-Ashoori; Laura Jimenez-Juan; Nigel S Tan; Paul Angaran; Binita Riya Chacko; Saif Al-Mousawy; Sheldon M Singh; Tamar Shalmon; Luciano Folador; Iqwal Mangat; Djeven P Deva; Andrew T Yan Journal: Int J Cardiovasc Imaging Date: 2021-03-01 Impact factor: 2.357