Cardiac Rehabilitation in Patients with Implantable Cardioverter-Defibrillators: A Systematic Review and

Liviu Ștefan Călin1,2,3, Darie Ioan Andreescu2, Mircea Ioan Alexandru Bistriceanu2

  • 1Bagdasar-Arseni Clinical Emergency Hospital, 041915 Bucharest, Romania.

Biomedicines
|January 28, 2026
PubMed

Insights

Cardiac rehabilitation (CR) significantly improves exercise capacity and quality of life for patients with implantable cardioverter-defibrillators (ICDs). This safe intervention does not increase adverse events, including ICD shocks or mortality.

Area of Science:

  • Cardiology
  • Rehabilitation Medicine
  • Clinical Trials

Background:

  • Cardiac rehabilitation (CR) benefits are established for cardiovascular disease but less clear for implantable cardioverter-defibrillator (ICD) recipients.
  • Limited evidence exists on CR's impact on functional capacity and safety in this specific patient group.

Purpose of the Study:

  • To evaluate the effect of CR on functional capacity, specifically peak oxygen uptake (peak VO2).
  • To assess the safety of CR in patients with ICDs, including adverse events.
  • To determine if CR improves quality of life in ICD recipients.

Main Methods:

  • Systematic search of PubMed, Scopus, and Cochrane Library for randomized controlled trials (RCTs).
  • Inclusion of adult participants with ICDs randomized to CR or standard care.
  • Primary outcome: change in peak VO2; secondary outcomes: quality of life, 6-minute walk test (6MWT), adverse events.

Main Results:

  • Seven RCTs with 1461 participants (784 CR, 677 control) were analyzed.
  • CR significantly improved peak VO2 (MD 2 mL·kg−1·min−1) and quality of life (MD 6.46) compared to usual care.
  • No increase in adverse events, including ICD shocks, hospitalizations, or cardiac deaths, was observed with CR.

Conclusions:

  • Cardiac rehabilitation is a safe and effective intervention for enhancing exercise capacity and quality of life in ICD recipients.
  • CR does not appear to increase the risk of arrhythmic events or mortality in this population.
  • Further large-scale, standardized trials are recommended to optimize CR protocols for ICD patients.

Related Concept Videos

Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.8K
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.2K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.5K
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...
4.9K
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...
403