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</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</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</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</p> Signup and view all the answers

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

    <p>Analytical</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</p> Signup and view all the answers

    What is the consequence of inadequate samples in diagnostic testing?

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

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

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

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

    <p>Sensitivity</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</p> Signup and view all the answers

    What is the formula to calculate Sensitivity?

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

    What is the effect of high Prevalence on Predictive Values?

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

    What is the formula to calculate Specificity?

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

    What is the relationship between Sensitivity and False Negatives?

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

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

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

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

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

    What is the formula to calculate Sensitivity?

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

    What is the formula to calculate Specificity?

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

    What is the formula to calculate Accuracy?

    <p>(TP + TN) / (TP + FP + TN + FN)</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</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</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</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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