Related Experiment Video

Updated: Jul 2, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

Exercise Tolerance Test: a comparison between true positive and false positive test results

Abdul Wajid Khan Faisal1, Abdul Rehman Abid, Muhammad Azhar

  • 1Punjab Institute of Cardiology, Lahore, Pakistan.

Journal of Ayub Medical College, Abbottabad : JAMC
|August 13, 2008
PubMed

Insights

Factors predicting coronary artery disease (CAD) in patients with a positive Exercise Tolerance Test (ETT) were identified. Abnormal resting ECG and hypertensive response during ETT are linked to false positives, while strongly positive, symptom-limited ETT suggests true positives.

Area of Science:

  • Cardiology
  • Diagnostic Testing
  • Preventive Medicine

Background:

  • Coronary artery disease (CAD) diagnosis often involves Exercise Tolerance Test (ETT).
  • Distinguishing true positive ETT results from false positives is crucial for accurate diagnosis and management.
  • Understanding factors influencing ETT accuracy can improve patient outcomes.

Purpose of the Study:

  • To identify predictors of coronary artery disease in patients with a positive Exercise Tolerance Test (ETT).
  • To compare ETT results with coronary angiographic findings in true positive and false positive groups.
  • To elucidate factors that predetermine CAD in patients with positive ETT results.

Main Methods:

  • A cross-sectional study involving 148 patients with positive ETT who underwent coronary angiography.
  • Patients were categorized into true positive and false positive groups based on angiographic findings.
  • Comparison of demographic, clinical, and ETT parameters between the two groups.

Main Results:

  • 85.1% of patients had true positive ETT, while 14.9% had false positive ETT.
  • Abnormal resting ECG, hypertensive response during ETT, and symptom-limited ETT were significantly associated with true positive results (p < 0.04, p < 0.003, p < 0.0001 respectively).
  • Females with abnormal resting ECG and hypertensive response were more likely to have false positive ETT.

Conclusions:

  • Positive ETT results require careful interpretation considering various clinical factors.
  • Abnormal resting ECG, hypertensive response, and symptom-limited ETT are key indicators differentiating true from false positives.
  • Accurate interpretation of ETT can lead to better patient stratification and timely intervention for coronary artery disease.
Abstract

More Related Videos

Detection of Antibodies That Neutralize the Cellular Uptake of Enzyme Replacement Therapies with a Cell-based Assay07:52

Detection of Antibodies That Neutralize the Cellular Uptake of Enzyme Replacement Therapies with a Cell-based Assay

Published on: September 10, 2018

Related Concept Videos

Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
Exercise Stress Test01:26

Exercise Stress Test

Introduction
Exercise stress testing, commonly known as a treadmill test, is a noninvasive procedure used to evaluate cardiovascular function and diagnose heart conditions.
Definition
An exercise stress test measures the heart's response to exertion using a treadmill or stationary bicycle. Chest electrodes record the heart's electrical activity through an ECG, and blood pressure is monitored regularly.
Purposes
Errors In Hypothesis Tests01:14

Errors In Hypothesis Tests

When performing a hypothesis test, there are four possible outcomes depending on the actual truth (or falseness) of the null hypothesis and the decision to reject or not.
Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5% chance...
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...