Interesting new preprint on #LongCovid. Some take-homes:
- ~14% of people
- can last months
- associated with +symptoms, previous respiratory disease, gender, age
- not associated with metabolic disease (mostly)https://www.medrxiv.org/content/10.1101/2020.10.19.20214494v1 …
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To me, this is the most interesting table. You can look through and see what is and isn't associated with PCR-positive Long COVIDpic.twitter.com/8VsU8UHz7U
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Not unsurprising that people who experience worse symptoms in their initial COVID-19 infection are more likely to suffer from
#LongCovid1 reply 1 retweet 5 likesShow this thread -
However, some MAJOR limitations to the analysis. The patient group is very selected (people who use and KEEP using an app long term), and this only captures those who had PCR-positive cases of COVID-19
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So, interesting, but I'd be very cautious about drawing inferences from this (i.e. you can't say that 2% of people who get COVID-19 will still have symptoms months later, we don't know if that's true from this study)
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Replying to @GidMK
The people who got Covid19 in the UK in the first wave could mostly only get a test if they were admitted to hospital. So those with longcovid longest with a positive test would mostly be hospitalized.
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Replying to @MatthewJDalby
Well, they limited their analysis to only those who'd had a PCR +ve test to try and account for that sort of bias but I agree that it's impossible to infer population estimates from this data
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Replying to @GidMK
That 2% of people were still bothering to record symptoms after three months of feeling ill says something. I'd have gotten bored of recording by then.
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Replying to @MatthewJDalby
Sure, but equally you'd have to ask what kind of person starts logging their symptoms on an app anyway? Might represent a substantial estimate of people who don't have symptoms for very long, it's very hard to judge which way the bias runs
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Replying to @GidMK
That's true. I'm a bit wary about giving my health information to a private company every day too.
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Yep. I think it's hard to take a meaningful population estimate from this research, although it does support the argument that the phenomenon is real and impacts a non-trivial proportion of people
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