1/ #MedTwitter, it’s time for #ClinicalReasoning practice with Bayes’ Theorem!

Follow along and let us know what you’re thinking!

72-yo-woman with HTN, DM, & knee replacement (10 days ago) p/w pleuritic chest pain, dyspnea and cough.
2/ As you walk down to the ER, you have diagnoses in your mind that are somewhere between unlikely and very likely.

This likelihood is known as:
3/ ANS: Pretest probability

On exam, her temperature is 100.1F, HR 108 and SaO2 88% RA. Her lower extremities are without swelling, tenderness, or erythema.

Basic labs are in process. What else would you order?

We’d love to see your reasoning in the replies!
4/ ANS: 1, 2, 4 are all reasonable, depending on your pretest probability for each disease on your differential. It’s worth noting that we’re all going to have varying pretest probabilities as they are largely a product of experience. These probabilities guide further testing.
5/ Labs and imaging come back.

WBC 10.2 w/ neutrophil predominance, D-dimer elevated to 1200ng/ml, and CXR is shown w/ right lower lobe opacity. (Image courtesy of Dr David Pryde, Radiopaedia.org, rID: 39000)
6/ What’s most likely based on your new posttest probability?
7/ She’s diagnosed with PNA & started on abx (ceftriaxone/azithromycin).

On day 4 of abx, vitals are T 99.4, HR 110. She requires 3L supplemental O2. WBC 9.6 w/ neutrophil predominance.

How does the lack of response to abx change the probabilities of diseases on your DDx?
8/ What would you do next?
9/ The lack of response to abx, increases the pretest probability of a PE, prompting the need for a CTPA.

CTPA shows a segmental PE c/b wedge-shaped pulmonary infarct. The opacity on her CXR is known as Hampton’s Hump! (Learn more from @Radiopaedia here: bit.ly/2q2t80q)
10/ Thanks for joining us! We hope this case reinforces concepts from @jackpenner’s blog post “Pre & Posttest Probability” bit.ly/36hudC4

We’d love to hear your reflections/feedback!

And check out this amazing case by @DxRxEdu for more practice bit.ly/36nUG0R
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