Can someone knowledgeable explain the current understanding of Covid’s long time effects? I thought it was still a big unknown and long COVID was still debated as to even having a clear definition.
This is (probably) not a Long Covid story but I found that bloodletting (for which I even received money!) gave me back the energy that I was missing for the last few years (e.g. it was impossible to build stamina). I also read about a study about the positive effects of bloodletting[1] that somehow is not all the rage in mainstream news, which I find perplexing. If it might be so easy to improve your health (for some of us), why isn't this discussed or studied more broadly?
"the patients who gave blood had a significant reduction in systolic blood pressure (from 148 mmHg to 130 mmHg) as well as reduction in blood glucose levels and heart rate, and an improvement in cholesterol levels (LDL/HDL ratio)."
The modern version of this is called Therapeutic Plasma Exchange (TPE) or Plasmapheresis and it is used to treat a variety of conditions including cancer and autoimmune:
The paper claims that 1/5 of people experience Long COVID after an infection. Given that approximately everyone has caught COVID by now, this does not track with how rarely I've heard of people with it.
Wikipedia lists much lower numbers on https://en.wikipedia.org/wiki/Long_COVID (6–7% in adults, ~1% in children, less after vaccination.) and seems to use a more liberal definition than this paper, as it mentions "Most people with symptoms at 4 weeks recover by 12 weeks" (while the paper only considers it "long COIVD" if symptoms last past 3 months).
I've found studies (peer reviewed, as far as I can tell) claiming anything from well under 10% to well over 30%.
Not sure it's relevant at all, but a therapist who's working with kids in a large clinic in Berlin told me that anorexia cases in kids have doubled since COVID. He said they don't have the infrastructure to treat all those kids. It's pretty dramatic. That being said, I wouldn't be surprised if a large portion of those cases were really caused by long COVID.
Long Covid is a spectrum. It's everything from silent damage to severe functional impairment. Each subsequent infection makes noticeable damage more likely.
The title should be edited. It sounds as if the test is 94% accurate at detecting long covid, but in fact it's 94% accurate at counting microclots
> We estimated a 94% accuracy for the microclot count using the devices, significantly higher than the traditional counting of microclots on slides (66% accuracy)
Throwing out this random data point: I know several people who I believe have some sort of what could be called "long covid". Here's the weird thing though: all these people are some level of covid denier/vax skeptic type person. They themselves don't believe they have long covid (and in some cases don't even believe they had covid). But all of them conform to this pattern (as observed by me): 1. They had covid, 2. Immediately after they developed some weird long term symptoms that no doctor can explain.
Obviously there's some probability this is all coincidence but it does seem strange, especially considering the predisposition for these people to not think their issues were triggered by covid infection.
Not sure why someone flagged my post, here it is again:
Excellent, a new way to test for the "fibrinaloid clots", a term that has only recently appeared in the literature since 2022, directly after the first experimental injections were administered worldwide and 2 years after the declared pandemic. It sounds like the authors are assuming "long Covid" comes from Covid rather than the experimental injections without ever having ruled out the latter, even though the onset correlates temporally with the experimental injections far more than the declared pandemic. Since this term never existed in the literature during the first 2 years of the declared pandemic, and only finally appeared in 2022 (and only in 1 article) before it started gaining traction, we must ask ourselves the following questions if we are truly interested in pursuing the scientific method:
1. Did the authors categorize the test subjects by those who had received the COVID-19 injection and those who had not? 2. If not, how do we rule out these effects being long-term effects from the experimental injections which cause people's bodies to continually produce the Spike protein the authors discuss in their paper as being the cause of the "fibrinaloid clots"? 3.Isn't this continual production of Spike induced by the injections something that should be controlled for to answer the question one way or another?
Suggestions: Test for "fibrinaloid clots" in subjects who have had confirmed COVID-19 and categorize them by how many experimental injections they received; include patients who received none. Then plot the number of experimental injections per patient on the x axis and the detected microclot size on the y axis.
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[ 4.4 ms ] story [ 36.1 ms ] threadhttps://www.ssph-journal.org/journals/public-health-reviews/...
> Prevalence estimated (...) 2%–3.5% in primarily non-hospitalized children.
So a fake test always saying "No" would be more accurate at 96.5% accuracy.
[1]https://www.sciencedaily.com/releases/2012/05/120529211645.h...
"the patients who gave blood had a significant reduction in systolic blood pressure (from 148 mmHg to 130 mmHg) as well as reduction in blood glucose levels and heart rate, and an improvement in cholesterol levels (LDL/HDL ratio)."
https://my.clevelandclinic.org/health/treatments/24197-plasm...
There are also claims that it improves dementia / Alzheimer's symptoms and popular "longevity biomarkers".
Wikipedia lists much lower numbers on https://en.wikipedia.org/wiki/Long_COVID (6–7% in adults, ~1% in children, less after vaccination.) and seems to use a more liberal definition than this paper, as it mentions "Most people with symptoms at 4 weeks recover by 12 weeks" (while the paper only considers it "long COIVD" if symptoms last past 3 months).
I've found studies (peer reviewed, as far as I can tell) claiming anything from well under 10% to well over 30%.
What's going on here?
---
The title should be edited. It sounds as if the test is 94% accurate at detecting long covid, but in fact it's 94% accurate at counting microclots
> We estimated a 94% accuracy for the microclot count using the devices, significantly higher than the traditional counting of microclots on slides (66% accuracy)
Obviously there's some probability this is all coincidence but it does seem strange, especially considering the predisposition for these people to not think their issues were triggered by covid infection.
Excellent, a new way to test for the "fibrinaloid clots", a term that has only recently appeared in the literature since 2022, directly after the first experimental injections were administered worldwide and 2 years after the declared pandemic. It sounds like the authors are assuming "long Covid" comes from Covid rather than the experimental injections without ever having ruled out the latter, even though the onset correlates temporally with the experimental injections far more than the declared pandemic. Since this term never existed in the literature during the first 2 years of the declared pandemic, and only finally appeared in 2022 (and only in 1 article) before it started gaining traction, we must ask ourselves the following questions if we are truly interested in pursuing the scientific method: 1. Did the authors categorize the test subjects by those who had received the COVID-19 injection and those who had not? 2. If not, how do we rule out these effects being long-term effects from the experimental injections which cause people's bodies to continually produce the Spike protein the authors discuss in their paper as being the cause of the "fibrinaloid clots"? 3.Isn't this continual production of Spike induced by the injections something that should be controlled for to answer the question one way or another?
Suggestions: Test for "fibrinaloid clots" in subjects who have had confirmed COVID-19 and categorize them by how many experimental injections they received; include patients who received none. Then plot the number of experimental injections per patient on the x axis and the detected microclot size on the y axis.
Best regards to all.