## Calculation of Sensitivity **Key Point:** Sensitivity measures the ability of a test to correctly identify those WITH the disease. It answers: "Of all patients who truly have the disease, how many does the test catch?" ### Formula $$\text{Sensitivity} = \frac{\text{True Positives (TP)}}{\text{TP + False Negatives (FN)}}$$ ### Step-by-Step Calculation 1. **Identify TP and FN from the data:** - True Positives = 45 (echo positive AND catheter positive) - False Negatives = 20 (echo negative BUT catheter positive) 2. **Total patients with disease (by gold standard):** - TP + FN = 45 + 20 = 65 3. **Apply formula:** $$\text{Sensitivity} = \frac{45}{45 + 20} = \frac{45}{65} = 0.692 = 69.2\%$$ ### Clinical Interpretation **High-Yield:** A sensitivity of 69.2% means that if a patient truly has mitral stenosis (confirmed by catheterization), echocardiography will detect it only 69.2% of the time. Conversely, 30.8% of true cases are missed (false negatives). **Clinical Pearl:** This relatively modest sensitivity suggests that a negative echo does NOT rule out mitral stenosis in a high-risk patient—further investigation (e.g., stress echo, cardiac catheterization) may be warranted if clinical suspicion remains high. ### Sensitivity vs. Specificity Comparison | Metric | Formula | Meaning | Use Case | |--------|---------|---------|----------| | **Sensitivity** | TP / (TP + FN) | Ability to identify disease | Rule OUT disease (negative test reassures) | | **Specificity** | TN / (TN + FP) | Ability to identify non-disease | Rule IN disease (positive test confirms) | **Mnemonic:** **SeNsitivity = TP / (TP + FN)** — think "**N**egative" in the denominator to remember False **N**egatives are included. High sensitivity = few false negatives = good at ruling out disease (SnOUT: Sensitive test, Negative result rules OUT).
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