Clinical Decision Making Flashcards

1
Q

Steps 1-3 of the Diagnostic Process

A
  1. Identify problem through history, physical, and test results
  2. Frame differential diagnosis
  3. Organize and limit differential and include “Must Not Miss Possibilities”
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2
Q

Steps 4-6 of the Diagnostic Process

A
  1. Utilize key features in the case
  2. Rank differential diagnosis
  3. Test hypothesis to make diagnosis
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3
Q

What 2 thresholds do we utilize? What determines whether we test or treat?

A
  1. Test threshold
  2. Treatment threshold

Pre-test probability

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4
Q

Sensitivity

A

Percentage of patients with the disease that have a positive result

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5
Q

What does a test with high sensitivity that is negative imply?

A

Post-test probability of the disease is low

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6
Q

Overall, sensitivity helps what?

A

Rule out the disease, as long as pretest probability of disease is not super high

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7
Q

Specificity

A

Percentage of people without the disease who have a true negative result

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8
Q

A test with a high specificity that is positive is likely what?

A

True positive unless pretest probability of disease is really low (positive pregnancy test in male)

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9
Q

Pre-Test Probability

A

Probability of disease or condition being present in population you are examining

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10
Q

When is performing tests on a patient most helpful?

A

When pre-test probability of the disease is intermediate

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11
Q

Post-Test Probability

A

Probability of disease being present after using test results

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12
Q

Positive Predicted Value

A

Probability that patients with positive test actually have the condition

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13
Q

PPV is dependent on what?

A

Prevalence of the condition in the population being tested

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14
Q

Likelihood ratio

A

Ratio of the likelihood that a given test result would occur in patients with the condition compared to a patient without the condition

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15
Q

The likelihood ratio is NOT dependent on what?

A

Prevalence of the condition in the population

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16
Q

The likelihood ratio allows for what?

A

Direct calculation of the post-test probability of disease from pre-test probability

17
Q

Most helpful LR values

A

10 (rule in disease)

0.1 (rule out disease)

1 has no effect

18
Q

LR formula

A

Likelihood of clinical findings in patients with condition/likelihood of clinical finding in patients without condition

19
Q

LR + formula

A

Sensitivity / (1-Specificity)

20
Q

LR - formula

A

(1-sensitivity) / Specificity

21
Q

Specificity Example

A

For migraines, nausea has a sensitivity of 81% and specificity of 96%. So if nausea is present for a patient complaining of headaches, the high specificity would increase our suspicion of the etiology of the headaches being migraines