We set out to identify the sensitivity & specificity of common tests for #COVID19 along w/ @dan_diekema , @Anthony98947615 w/ @CDCgov support

A simple enough task, right?

I’ve seen tweets by @DrSidMukherjee @drjohnm @BenMazer @PaulSaxMD @BradSpellberg and others interested
1/n
Looking for comments/criticism

What are we missing? No industry adverts please!

Important papers?
2/n
The @US_FDA has a test comparison site that is incomprehensible to me… but @ASMicrobiology types tell me it reports on analytical sensitivity and LoD for tests
3/n
First, terms:
As a clinician, I want to know if a patient does or doesn’t have #covid19.
I’m less concerned by internal laboratory QA unless it translates
We wanted what has been called CLINICAL or diagnostic sensitivity/ specificity NOT analytical sen/sp.
4/n
Described in 1997:
Clinical “diagnostic sensitivity is defined by the percentage of persons who have the disorder of interest who have positive results on the assay”

And more recently early in COVID by @akesselheim

https://www.nejm.org/doi/full/10.1056/NEJMp2015897#.X-DkelzIGHM.twitter

5/n
Another note, PCR has largely been the laboratory gold standard.

So, most reports are for sen/sp relative to PCR—not to a clinical gold standard.

We adjusted reported results to reflect:
e.g. PCR Sen 90% x Antigen Sen of 50% = overall antigen Sen of 45%

6/n
Finally, we are NOT talking about being infectious for #covid19.
That is another topic with even LESS data I hope to share soon.
Suffice to say, many people with #covid19 disease are NOT infectious, especially after a week or 10 days, but some tests still +, esp PCR

7/n
-earlier reports of lower PCR sensitivity had atypical gold standard or were not reporting optimal sampling on day 4

-Sensitivity IS lower before/ after day 4 of symptoms per https://www.acpjournals.org/doi/10.7326/M20-1495#.X-DnQ9bVCk0.twitter

9/n
Reasons for PCR false-negatives (10% false – rate)

lack of virus in sampling site
inadequate sampling
lack of instrument optimization or variation between instruments

10/n
Reasons for PCR false-positives (~1% false + rate)
-past infection with residual RNA
-differences in testing between instruments
-glitches in instrument reading of Ct/Cq values
-lack of laboratory optimization normally required by the FDA
-contamination
12/n
Next, the Point of Care NAAT tests
Limited information published and in some ways very similar to lab based PCR
Abbott IDNow seems less sensitivity/more specific than Cepheid Xpert Xpress/Roche Cobas

13/n
POC NAAT tests
—Abbott IDNow
Clinical Sensitivity 54% / Clinical specificity 97.5%
(final numbers after adjustment for comparison to PCR)

Misses high CT value PCR + which are often NON-infectious. But no data vs. cell culture
https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD013705/information#.X-DtNgTrpF8.twitter
amazing work @deeksj

14/n
Antigen tests better detect live virus but VERY limited data vs. cell culture @michaelmina_lab

And newer antigen tests will likely be better (but need clinical data, not just lab comparisons)
19/n
So, in conclusion, a group of @IDSAInfo docs, epidemiologists and @ASMicrobiology estimated the following CLINICAL Sensitivity & specificity for #COVID19 diagnostic tests

--feedback welcome
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