High Sensitivity Troponins are RNG, prove me wrong.

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I would add the nuance that HS trop isnt fully random, but it takes a proper result like 0.1 and then adds to random numbers to it, and I’m not entirely sure these digits are significant.

0.1 —> 0.1 cool
0.128 —> 0.141 is this just the same thing or actual delta???

One of our sister hospitals was moving to Hs trop and asked a couple of us what we do with the mid-tier values that fall out of the “so low it’s not cardiac” zone but don’t enter “ oh this is ACS” zone. And they were disappointed to hear my answer which was it’s all vibes based! But it’s the honest truth. Pray they have an old trop that’s similar. Pray they have ckd you can blame it on. Get that delta and show it’s flat. 🤷‍♂️
 
Our high-sensitivity troponin comes out in ng/L, and doesn't give us numbers after a decimal point. i.e. <6 is the lowest possible reading, and from there 7, 8, 9, 40, you get the idea.

We have an algorithm we generally adhere to with the expectation that we generally do at least one repeat unless HPI dictates otherwise. On the second troponin, a delta of <4 is considered insignificant, and you can stop there. Delta of 4 - 9 warrants a third troponin. 10 or greater and it's generally admit, call cardiology time.

Cardiac biomarkers of acute coronary syndrome: from history to high-sensitivity cardiac troponin - PubMed
This is the paper referenced to justify the algorithm.
 
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Our high-sensitivity troponin comes out in ng/L, and doesn't give us numbers after a decimal point. i.e. <6 is the lowest possible reading, and from there 7, 8, 9, 40, you get the idea.

We have an algorithm we generally adhere to with the expectation that we generally do at least one repeat unless HPI dictates otherwise. On the second troponin, a delta of <4 is considered insignificant, and you can stop there. Delta of 4 - 9 warrants a third troponin. 10 or greater and it's generally admit, call cardiology time.

Cardiac biomarkers of acute coronary syndrome: from history to high-sensitivity cardiac troponin - PubMed
This is the paper referenced to justify the algorithm.

"Six-seven".

It becomes infinitely worse when 90+% of your patients are 900 years old and they all roll hsTnIs in the 30s and 40s all the damn time.
Meaningless numbers.
 
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