Diagnostic Testing in Infectious Diseases
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Questions and Answers

What is measured by diagnostic sensitivity?

  • The capacity of a test to correctly identify the negative individuals
  • The capacity of a test to correctly identify the positive individuals (correct)
  • The ratio of true negatives to false positives
  • The total number of true positives and false negatives

What is the equation for calculating diagnostic specificity?

  • TP / (TP + FN) × 100
  • FN / (TP + FN) × 100
  • FP / (TN + FP) × 100
  • TN / (TN + FP) × 100 (correct)

What happens to the sensitivity of a test when the cut-off is increased from A to B?

  • It remains the same
  • It becomes undefined
  • It decreases (correct)
  • It increases

What is represented by the abbreviation 'FP' in the context of diagnostic testing?

<p>False Positive (B)</p> Signup and view all the answers

What is the effect of increasing the cut-off from A to B on the specificity of the test?

<p>It increases (C)</p> Signup and view all the answers

What is the purpose of calculating diagnostic sensitivity and specificity?

<p>To evaluate the reliability of a diagnostic test (C)</p> Signup and view all the answers

What is the primary purpose of diagnostic tests in infectious diseases?

<p>To confirm or exclude a diagnosis and determine treatment strategies (B)</p> Signup and view all the answers

What is the phase of testing where the sample is handled and analyzed?

<p>Analytical (D)</p> Signup and view all the answers

What is the key factor in determining the type of sample needed for a diagnostic test?

<p>Type of pathogen (D)</p> Signup and view all the answers

What is the consequence of inadequate samples in diagnostic testing?

<p>Inadequate results (D)</p> Signup and view all the answers

What is the term for the value that divides results between positive or negative?

<p>Cut-off value (B)</p> Signup and view all the answers

What is the term for a positive test result in a diseased individual?

<p>True Positive (B)</p> Signup and view all the answers

What is the term for the ability of a test to detect true positives?

<p>Sensitivity (A)</p> Signup and view all the answers

What is the primary purpose of understanding test results in diagnostic testing?

<p>To interpret the results accurately (C)</p> Signup and view all the answers

What is the formula to calculate Sensitivity?

<p>TP / (TP + FN) (A)</p> Signup and view all the answers

What is the Positive Predictive Value (PPV) of a test?

<p>The proportion of true positives among all positive test results (C)</p> Signup and view all the answers

What is the main difference between Incidence and Prevalence?

<p>Incidence measures new cases, while Prevalence measures existing cases (D)</p> Signup and view all the answers

What is the effect of high Prevalence on Predictive Values?

<p>It decreases the Positive Predictive Value (B)</p> Signup and view all the answers

What is the formula to calculate Specificity?

<p>TN / (TN + FP) (B)</p> Signup and view all the answers

What is the purpose of Predictive Values in clinical practice?

<p>To estimate the probability of a test result being correct (B)</p> Signup and view all the answers

What is the relationship between Sensitivity and False Negatives?

<p>High Sensitivity means low False Negatives (D)</p> Signup and view all the answers

What is the result of a high False Positive rate on Predictive Values?

<p>It decreases the Positive Predictive Value (A)</p> Signup and view all the answers

What is the formula to calculate Positive Predictive Value (PPV)?

<p>TP / (TP + FP) (C)</p> Signup and view all the answers

What is the formula to calculate Negative Predictive Value (NPV)?

<p>TN / (TN + FN) (A)</p> Signup and view all the answers

What is the formula to calculate Sensitivity?

<p>TP / (TP + FN) (B)</p> Signup and view all the answers

What is the formula to calculate Specificity?

<p>TN / (TN + FP) (B)</p> Signup and view all the answers

What is the formula to calculate Accuracy?

<p>(TP + TN) / (TP + FP + TN + FN) (D)</p> Signup and view all the answers

What is the purpose of calculating Positive Predictive Value (PPV)?

<p>To determine the proportion of diseased individuals among all positive test results (B)</p> Signup and view all the answers

What is the purpose of calculating Negative Predictive Value (NPV)?

<p>To determine the proportion of non-diseased individuals among all negative test results (B)</p> Signup and view all the answers

What does the term 'prevalence' refer to in the context of diagnostic testing?

<p>The proportion of diseased individuals in the population (D)</p> Signup and view all the answers

Study Notes

Importance of Diagnostic Tests

  • Confirm or exclude a diagnosis
  • Determine treatment strategies
  • Epidemiological surveillance
  • Prevention, control, and eradication strategies
  • Identification of new pathogens

Phases of Testing

  • Pre-analytical: test selection, sampling, storage, transportation
  • Analytical: handling and analysis of the specimen
  • Post-analytical: report results, interpretation

Test Selection

  • Determined by type of pathogen, type of sample, test characteristics, phase of disease, availability, and cost

Sample Considerations

  • Samples must be correctly selected, collected, stored, and transported
  • Inadequate samples result in inadequate results

Understanding Test Results

  • Results can be divided into 4 categories: true positive, false positive, false negative, true negative
  • Cut-off value divides results between positive or negative

Diagnostic Sensitivity and Specificity

  • Sensitivity: measures the capacity of a test to correctly identify positive individuals (true positives)
  • Specificity: measures the capacity of a test to correctly identify negative individuals (true negatives)
  • Equations: sensitivity = (TP / TP + FN) × 100, specificity = (TN / TN + FP) × 100

Impact of Cut-off Change

  • Increase sensitivity, decrease specificity
  • Decrease sensitivity, increase specificity

Test Predictive Value

  • Positive Predictive Value (PPV): probability of a positive test being a true positive
  • Negative Predictive Value (NPV): probability of a negative test being a true negative
  • Equations: PPV = (TP / TP + FP) × 100, NPV = (TN / TN + FN) × 100

Prevalence

  • Proportion of a population affected by a disease at a specific time
  • Not to be confused with incidence, which refers to the number of new cases in a time interval

Impact of Prevalence on Predictive Values

  • PPV and NPV are affected by prevalence, diagnostic sensitivity, and specificity

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Description

This quiz covers the principles of diagnostic testing in infectious diseases, including the importance of diagnostic tests, basis of diagnostic tests, and indicators of diagnostic test validity.

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