Question

Difficulty: MediumDiagnostic and Screening Test Performance

A 45-year-old female healthcare worker presents to the occupational health clinic for routine screening. A research consortium is currently analyzing the efficacy of a new serum assay for detecting latent tuberculosis infection at this facility. In a recent validation cohort, the assay was administered to 200200 individuals with confirmed latent tuberculosis and 800800 individuals who are definitively uninfected. The assay yielded a positive result in 170170 of the infected individuals and in 4040 of the uninfected individuals.

Based on these validation study results, what is the positive likelihood ratio of this new serum assay?

Answer: 17

Answer

17
The positive likelihood ratio (LR+) is calculated as Sensitivity divided by (1 - Specificity). In this study, the sensitivity is 170/200170/200 (0.850.85) and the false positive rate (1 - Specificity) is 40/80040/800 (0.050.05). Dividing 0.850.85 by 0.050.05 yields an LR+ of 1717. This means a positive test result is 17 times more likely to be seen in someone with latent tuberculosis than in someone without it.

Step-by-Step Solution

1
Calculate the test's sensitivity.
Sensitivity = TP / Total Diseased = 170 / 200 = 0.85.
Sensitivity is the numerator in the positive likelihood ratio equation.
2
Calculate the false positive rate.
False Positive Rate = FP / Total Healthy = 40 / 800 = 0.05.
The false positive rate (1 - Specificity) is the denominator in the positive likelihood ratio equation.
3
Calculate the positive likelihood ratio.
LR+ = 0.85 / 0.05 = 17.
Dividing the true positive rate by the false positive rate yields the positive likelihood ratio.

Key Concept

Calculation of Positive Likelihood Ratio (LR+) from raw clinical validation data.
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