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”
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
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)
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
• • •
Missing some Tweet in this thread? You can try to
force a refresh
Clearly, the words physicians use have
a critical function in this communication
Referring to harms as “risks” emphasizes that
the unfavorable outcome may or may not happen,
whereas there is no parallel language that highlights
the equally probabilistic nature of “benefits.”