Literature DB >> 26666380

Predicting Risk Versus Predicting Potential Survival Benefit Using 123I-mIBG Imaging in Patients With Systolic Dysfunction Eligible for Implantable Cardiac Defibrillator Implantation: Analysis of Data From the Prospective ADMIRE-HF Study.

Rory Hachamovitch1, Benjamin Nutter2, Venu Menon2, Manuel D Cerqueira2.   

Abstract

BACKGROUND: Cardiac (123)I-metaiodobenzylguanidine ((123)I-mIBG) imaging improves prognostication in patients with left ventricular (LV) dysfunction. Whether (123)I-mIBG can identify optimal candidates for implantable cardiac defibrillator (ICD) placement is unclear. We examined whether (123)I-mIBG enhances risk assessment and identifies patients with enhanced survival with ICD in a patient cohort with reduced LV function who were candidates for ICD implantation. METHODS AND
RESULTS: We identified 777 patients (66 sites, 12 countries) without ICD at the time of enrollment in Adreview Myocardial Imaging for Risk Evaluation in Heart Failure (ADMIRE-HF) and index (123)I-mIBG study. Patients completed prescribed study protocol and follow-up. Heart-to-mediastinum (H/M) ratio was determined from (123)I-mIBG results. Survival modeling used a Cox proportional hazards mixed-effects model, including a propensity score, to adjust for nonrandomized ICD implantation after (123)I-mIBG. All-cause death occurred in 75 patients (9.6%), and 196 (25%) patients had ICD implantation on follow-up. After adjusting for multiple factors, although the H/M ratio added incremental prognostic value and enhanced reclassification, neither H/M results, BNP levels, nor left ventricular ejection fraction interacted with ICD use in the survival model, indicating that these variables did not identify patients with enhanced survival with ICD implantation. Nonetheless, H/M results did identify the number of lives saved by ICD use per 100 treated.
CONCLUSIONS: We found that although (123)I-mIBG imaging enhances the risk stratification of patients with left ventricular dysfunction who are ICD candidates, it does not identify which patients may have improved survival with ICD placement. However, (123)I-mIBG identifies the absolute benefit gained with ICD use, thus may play a role in optimizing the cost-effectiveness of this intervention. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifiers: NCT00126425 and NCT00126438.
© 2015 American Heart Association, Inc.

Entities:  

Keywords:  defibrillators; heart failure; prognosis; radioisotopes; survival

Mesh:

Substances:

Year:  2015        PMID: 26666380     DOI: 10.1161/CIRCIMAGING.114.003110

Source DB:  PubMed          Journal:  Circ Cardiovasc Imaging        ISSN: 1941-9651            Impact factor:   7.792


  9 in total

1.  Assessing arrhythmic risk with 123I-mIBG and analogous tracers: Image interpretation from a different viewpoint.

Authors:  Mark I Travin
Journal:  J Nucl Cardiol       Date:  2017-07-05       Impact factor: 5.952

Review 2.  Current Clinical Applications and Next Steps for Cardiac Innervation Imaging.

Authors:  Mark I Travin
Journal:  Curr Cardiol Rep       Date:  2017-01       Impact factor: 2.931

3.  Evaluation of myocardial sympathetic innervation in the 21st century: Is there a role for planar 123I-MIBG imaging?

Authors:  Riccardo Liga; Veronica Della Tommasina
Journal:  J Nucl Cardiol       Date:  2016-06-01       Impact factor: 5.952

4.  Imaging the heart's brain: Simultaneous innervation/perfusion analysis in the era of new CZT cameras.

Authors:  Riccardo Liga; Alessia Gimelli
Journal:  J Nucl Cardiol       Date:  2016-05-18       Impact factor: 5.952

5.  Neuronal damage and abnormal contraction: Is the circle of synchronicity complete?

Authors:  Claudio Marcassa
Journal:  J Nucl Cardiol       Date:  2018-01-11       Impact factor: 5.952

6.  Importance of individual patient characteristics when assessing the ability of cardiac adrenergic imaging to guide ICD use.

Authors:  Mark I Travin
Journal:  J Nucl Cardiol       Date:  2020-10-20       Impact factor: 5.952

Review 7.  Personalizing Risk Stratification for Sudden Death in Dilated Cardiomyopathy: The Past, Present, and Future.

Authors:  Brian P Halliday; John G F Cleland; Jeffrey J Goldberger; Sanjay K Prasad
Journal:  Circulation       Date:  2017-07-11       Impact factor: 29.690

8.  Neuro-cardiac imaging has a proven value in patient management: Con.

Authors:  Riccardo Liga; Arthur J H A Scholte
Journal:  J Nucl Cardiol       Date:  2017-06-07       Impact factor: 5.952

9.  Machine learning-based risk model using 123I-metaiodobenzylguanidine to differentially predict modes of cardiac death in heart failure.

Authors:  Kenichi Nakajima; Tomoaki Nakata; Takahiro Doi; Hayato Tada; Koji Maruyama
Journal:  J Nucl Cardiol       Date:  2020-05-14       Impact factor: 5.952

  9 in total

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