ArticleEuropean journal of nuclear medicine and molecular imaging2022
Usefulness of the 2-year iodine-123 metaiodobenzylguanidine-based risk model for post-discharge risk stratification of patients with acute decompensated heart failure.
Article in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 7 citations in OpenAlex.
- Remote ischemic periconditioning suppresses cardiac sympathetic activation in acute myocardial infarction: a randomized controlled trial.European journal of nuclear medicine and molecular imaging · 2025Trial
- Cardiac sympathetic nerve activity in the non-culprit lesion predicts poor prognosis in patients with STEMI.European journal of nuclear medicine and molecular imaging · 2026Article
- Evaluation of [18F]MFPBG: a novel automatically radiolabeled probe for NET PET imaging.EJNMMI research · 2026Article
- Stratifying risk of heart failure death and arrhythmic events: a ¹²³I-meta-iodobenzylguanidine-based multinomial logistic model.European journal of nuclear medicine and molecular imaging · 2026Article
- Iodine-123 Metaiodobenzylguanidine (I-123 MIBG) in Clinical Applications: A Comprehensive Review.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Cardiac sympathetic activity and lethal arrhythmic events: insight into bell-shaped relationship betweenEJNMMI research · 2024Article
- Review
- Validation of a Five-Year Prognostic Model UsingAnnals of nuclear cardiology · 2023Article
- Nuclear Cardiology Data Analyzed Using Machine Learning.Annals of nuclear cardiology · 2022Review
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Authors and funding
19 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeA four-parameter risk model that included cardiac iodine-123 metaiodobenzylguanidine (MIBG) imaging and readily available clinical parameters was recently developed for prediction of 2-year cardiac mortality risk in patients with chronic heart failure. We sought to validate the ability of this risk model to predict post-discharge clinical outcomes in patients with acute decompensated heart failure (ADHF) and to compare its prognostic value with that of the Acute Decompensated Heart Failure National Registry (ADHERE) and Get With The Guidelines-Heart Failure (GWTG-HF) risk scores.
methodsWe studied 407 consecutive patients who were admitted for ADHF and survived to discharge, with definitive 2-year outcomes (death or survival). Cardiac MIBG imaging was performed just before discharge. The 2-year cardiac mortality risk was calculated using four parameters, namely age, left ventricular ejection fraction, New York Heart Association functional class, and cardiac MIBG heart-to-mediastinum ratio on delayed images. Patients were stratified into three groups based on the 2-year cardiac mortality risk: low- (< 4%), intermediate- (4-12%), and high-risk (> 12%) groups. The ADHERE and GWTG-HF risk scores were also calculated.
resultsThere was a significant difference in the incidence of cardiac death among the three groups stratified using the 2-year cardiac mortality risk model (p < 0.0001). The 2-year cardiac mortality risk model had a higher C-statistic (0.732) for the prediction of cardiac mortality than the ADHERE and GWTG-HF risk scores.
conclusionThe 2-year MIBG-based cardiac mortality risk model is useful for predicting post-discharge clinical outcomes in patients with ADHF. TRIAL REGISTRATION NUMBER: UMIN000015246, 25 September 2014.
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