Risk Models for Prediction of Implantable Cardioverter-Defibrillator Benefit: Insights From the DANISH Trial

Søren Lund Kristensen1, Wayne C Levy2, Ramin Shadman3

  • 1Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark; Department of Cardiology, Bispebjerg University Hospital, Copenhagen, Denmark.

JACC. Heart Failure
|July 15, 2019
PubMed

Insights

Implantable cardioverter-defibrillators (ICDs) benefit nonischemic heart failure patients with a high predicted risk of sudden cardiac death (SCD), as identified by the Seattle Proportional Risk Model (SPRM). Patients with lower SPRM scores did not show a mortality benefit from ICDs.

Area of Science:

  • Cardiology
  • Medical Devices
  • Clinical Trials

Background:

  • The efficacy of implantable cardioverter-defibrillators (ICDs) for primary prevention in nonischemic heart failure remains debated.
  • Established risk prediction models can help identify patients most likely to benefit from ICD implantation.

Purpose of the Study:

  • To determine if patients with nonischemic heart failure benefit from ICD implantation based on risk stratification using the Seattle Heart Failure Model (SHFM) and Seattle Proportional Risk Model (SPRM).

Main Methods:

  • The study analyzed 1,116 patients from the Danish study to Assess the Efficacy of ICDs in Patients with Non-ischemic Systolic Heart Failure on mortality (DANISH) trial.
  • Patients were stratified by median scores from the SHFM and SPRM.
  • The effect of ICD implantation on all-cause mortality and sudden cardiac death (SCD) was evaluated.

Main Results:

  • ICD implantation significantly reduced all-cause mortality in patients with SPRM scores above the median (HR: 0.63; 95% CI: 0.43 to 0.94).
  • No significant mortality benefit was observed in patients with lower SPRM scores (HR: 1.08; 95% CI: 0.78 to 1.49; p for interaction = 0.04).
  • A significant interaction was found for combined high SPRM and high SHFM scores, where ICDs reduced mortality (HR: 0.45; 95% CI: 0.25 to 0.80).

Conclusions:

  • Nonischemic heart failure patients with a higher predicted likelihood of sudden cardiac death (SCD), indicated by a higher SPRM score, appear to benefit from ICD implantation.
  • Risk stratification using models like SPRM may help personalize ICD therapy decisions in nonischemic heart failure.
Abstract

Related Concept Videos

Benefits of Self-Esteem01:25

Benefits of Self-Esteem

Self-esteem—an individual's overall evaluation of their worth—plays a complex role in psychological functioning and well-being. It is often associated with many positive traits, such as confidence, optimism, and perseverance. Individuals with high self-esteem typically experience better sleep, manage peer pressure more effectively, and report greater life satisfaction. Conversely, low self-esteem has been consistently linked with increased risks of depression, anxiety, and poor...
192
Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
10.2K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries
45.5K
Clinical Trials: Overview01:11

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
4.6K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
399
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.0K