SynthesisJournal of cardiovascular electrophysiology2017
Predicting appropriate shocks in patients with heart failure: Patient level meta-analysis from SCD-HeFT and MADIT II.
Synthesis in Journal of cardiovascular electrophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04599439 (CMR Based Prediction of Ventricular Tachycardia Events in Healed Myocardial Infarction), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
CMR Based Prediction of Ventricular Tachycardia Events in Healed Myocardial Infarction (DEVELOP-VT)
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Pooled it
- Predictors and Prognostic Significance of Appropriate Implantable Cardioverter-Defibrillator Therapy in Primary Prevention Patients with Ischemic Cardiomyopathy.Journal of clinical medicine · 2026Article
- Predictors of appropriate therapies delivered by the implantable cardioverter-defibrillator in patients with coronary artery disease during long-term period.The international journal of cardiovascular imaging · 2024Article
- An unusual cause of inappropriate shocks delivered by an implantable cardioverter defibrillator.BMC cardiovascular disorders · 2024Article
- Inappropriate Shocks With Subcutaneous Implantable Cardioverter-Defibrillator in a Young Patient: A Case Report.Cureus · 2023Article
- First appropriate implantable defibrillator shocks in patients with Chagasic heart diseaseArchivos de cardiologia de Mexico · 2022Article
- Article
- Heart failure treatment in patients with cardiac implantable electronic devices: Opportunity for improvement.Heart rhythm O2 · 2021Article
- Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death.Circulation research · 2021Article
- Baseline and Dynamic Risk Predictors of Appropriate Implantable Cardioverter Defibrillator Therapy.Journal of the American Heart Association · 2020Article
- Separating the Forest From the Trees: New Tools for a Personalized Sudden Cardiac Death Risk Stratification.Journal of the American Heart Association · 2020Article
- New Concepts in Sudden Cardiac Arrest to Address an Intractable Epidemic: JACC State-of-the-Art Review.Journal of the American College of Cardiology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 9 institutions in 3 countries.
Funding
Abstract
backgroundNo precise tools exist to predict appropriate shocks in patients with a primary prevention ICD. We sought to identify characteristics predictive of appropriate shocks in patients with a primary prevention implantable cardioverter defibrillator (ICD).
methodsUsing patient-level data from the Multicenter Automatic Defibrillator Implantation Trial II (MADIT II) and the Sudden Cardiac Death in Heart Failure Trial (SCD-HeFT), we identified patients with any appropriate shock. Clinical and demographic variables were included in a logistic regression model to predict appropriate shocks.
resultsThere were 1,463 patients randomized to an ICD, and 285 (19%) had ≥1 appropriate shock over a median follow-up of 2.59 years. Compared with patients without appropriate ICD shocks, patients who received any appropriate shock tended to have more severe heart failure. In a multiple logistic regression model, predictors of appropriate shocks included NYHA class (NYHA II vs. I: OR 1.65, 95% CI 1.07-2.55; NYHA III vs. I: OR 1.74, 95% CI 1.10-2.76), lower LVEF (per 1% change) (OR 1.04, 95% CI 1.02-1.06), absence of beta-blocker therapy (OR 1.61, 95% CI 1.23-2.12), and single chamber ICD (OR 1.67, 95% CI 1.13-2.45).
conclusionIn this meta-analysis of patient level data from MADIT-II and SCD-HeFT, higher NYHA class, lower LVEF, no beta-blocker therapy, and single chamber ICD (vs. dual chamber) were significant predictors of appropriate shocks.
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Registered trials
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