tern Profile picture
Nov 26 48 tweets 8 min read Read on X
😮I want to smash something.
I've just stumbled across the official NHS coding guidance for U07.3 - 'Personal history of Covid-19' - and it left me on the floor.

🚨When paired with the data on the number of times it is currently used, it is a huge unknown national scandal. Image
The ICD-10 codes are the codes that are entered into NHS hospitals activity databases.
So when someone gets healthcare, it's for a reason, so they look up the code for that reason, and put the code into the database.
They're supposed to put this code, U07.3, into the databases when a past diagnosis of Covid (confirmed or probable) "influences the person's health status". Image
And that's what hospitals have been doing.
When the healthcare workers think that the patient's *past covid infections* have influenced the person's *current health status*, they've used the code: Image
As you can see from the chart, they're still using the code for *massive numbers* of episodes of hospital treatment or consultation each year.
Media and government and public health are telling you that the after-effects of Covid infections are long over. Aren't they?
But the healthcare workers in the hospitals themselves *aren't saying that*.

In fact, the amount of times they are using it has only dropped by about 25% since 2023. Image
And the healthcare workers are using this code even though everything in society is telling them that Covid is over and not important any more.
Imagine being a healthcare worker and seeing a patient, and thinking "covid infections caused this patient's health condition", then including that in the information for the hospital episode database.
You enter the code in, thinking that people somewhere must read that information and make policy based on it.
And you must assume that hardly anyone else is entering that code, because no one in charge is making any fuss about Covid any more.
You don't know that actually there are tens of thousands of other healthcare workers typing in the same data about hundreds of thousands of other patients and the fact that their covid infections have an effect on their current health status. Image
You don't know that the number of lives this is affecting has barely fallen, because, like I said, there's absolute silence.
I mean all of that is a scandal.

It's bad.

But wait...
Let’s get this straight.
There is a specific ICD-10 code for people who are no longer acutely infected but whose previous COVID infection still affects their health today.
Their organs... their immune system... their heart... their blood vessels... their nerves... their brain... their recovery trajectory...
Clinicians are told: use U07.3 if you think it has contributed to the current health status.
But if that person later dies…
They must pretend that influence *did not exist*.
🚨 Image
Yes, you are seeing that right.

>Use the code for health conditions for the living.

>DO NOT USE IT FOR THE DEAD. Image
The activity data shows what's *really happening*.
Emergency episodes coded with U07.3 are in the hundreds of thousands per year.
It appears across the entire hospital system:
Coded paired with cardiac admissions, arrhythmias, clots, strokes, lung disease, kidney injury, endocrine crises, infections, neurological events.
Everywhere you look in the database U07.3 is quietly flagging Covid's ongoing effects.
It is widespread, routine clinical recognition that prior Covid infections continue to shape health.
A tag applied because the previous infection is still causing harm.

And yet the guidance explicitly says: do not count this influence when the patient dies.
But here's the part that takes this from puzzling to outrageous.
The "personal history of influenza" codes *are* allowed in mortality tabulation.
Flu *is* recognised as codable in the event of death.
Flu's lingering effects *are* permitted into the data.
Covid - a virus with known long-term cardiovascular, neurological, and immune consequences - is deliberately excluded.
How.
Just how?
If U07.3 were used in mortality coding the way flu history codes are, we would have a completely different understanding of what Covid is doing to population health.
We would see the after-effects.
The delayed consequences.
The deaths precipitated by damage that started months or even years earlier.
🚨The things clinicians are *already flagging* in hospital datasets.
So the bif question becomes unavoidable:

How many deaths would be attributed to the after-effects of Covid infections if U07.3 were allowed to be counted.
How many families told "it wasn’t Covid" would, in fact, be looking at the long shadow of a past infection.
This is not a minor technicality.

This is a massive scandal.

And I am genuinely astonished. Image
And a little extra bonus...
Each week, the Office of National Statistics publish this database that includes causes of death... Image
They claim that they are produced using 'sound methods'... Image
They assign deaths based on the flu and pneumonia codes, and the covid codes... and you can see that U07.2 is there, but not U07.3... but they list all the pneumonia codes... Image
And they include within those Flu and Pneumonia codes, this one.
"J12.8"

Other viral pneumonia.

Clearly Covid related. Image
It's right there.

Each week they publish their smug pneumonia v covid statistics while not saying that a number of the pneumonia statistics are explicitly covid caused. Image
And while explicitly *excluding* the long term effects of covid from the death statistics. Image
I thought I couldn't be surprised by anything any more.
But these layers of deception are too much for me.
The combination of incompetence and malice is overwhelming.
And what's worse is that hardly anyone will see this thread, and no journalist anywhere will take this up and run with it.
We're a joke of a country ignoring the evidence that is right under our noses.
But I actually have a new respect for the healthcare workers who keep plugging U07.3 into the computer.

Thank you.
You matter.
❤️ Image
Sources of data.
Hospital admitted patient care activity:
production-like.nhsd.io/data-and-infor…
Deaths registered weekly in England and Wales, provisional:
ons.gov.uk/peoplepopulati…
NHS ICD codes emergency use instructions:
classbrowser.nhs.uk/ICD-10-5TH-Edi…
And a footnote:
Yes, I agree with David here.
I think the apparent reduction in numbers is mostly due to clinicians failing to join the dots, reduced testing, and the cultural backdrop that denies covid is a problem.

Image

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with tern

tern Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @1goodtern

Nov 25
There's absolutely zero doubt in my mind that things have changed.

But *how*?

I've been sharing a lot of these graphs over the last month, but each chart looks at the *small* picture.

I have a big picture brain.
So here's a thread about the *big* picture. Image
You can see in this image charts with loads of different *shapes*.

They all chart the same time span.
They're all from the same geographical area and age range.
They all chart the same type of data - 'hospital episodes'. Image
That last bit is important.
These are *hospital episodes*.
That's the number of episodes of *hospital treatment or consultation*.
Read 48 tweets
Nov 25
What on earth is going on.

Seriously.

Where are the doctors raising the awareness about this?
Where are the journalists screaming?

What is wrong with everyone?

Hospital episodes for babies with heart valve problems in England. Image
Two to four year old infants with heart problems. Image
Five to nine year old kids with heart valve problems. Image
Read 10 tweets
Nov 25
Yesterday I started posting a long breakdown of women's health issues that appear to have seen a change of trend since the population embraced widespread repeat covid infections.

This is part two. Image
You don't need to have read part one first.

They're just collations of charts in no particular order, although there is running commentary and some observations along the way, so it is well worth reading that one, and I'll be posting a third too.

Lots of people have asked me to show charts on menopause and perimenopause.

Here they are.
Read 50 tweets
Nov 24
In light of the fact that repeated studies suggest that women are more likely to be develop Long Covid, I think it's really important to know what's happening with the different health conditions that specifically affect women.

This is a painful thread at times. Image
Older working age adults... Image
Less prevalent in over 70s.

But a similar rise. Image
Read 99 tweets
Nov 22
Covid infection affects every part of the body, every body system, and every body function, but it *loves* the lungs.

So how does that play out in hospital episode data...
And Parainfluenza virus (also not flu) pneumonia... Image
And those chlamydial and mycoplasma pneumonias... they were hitting every age...
Read 98 tweets
Nov 22
If Covid infections damaged the heart and *persisted* in the heart...
I would expect there to be an increasing failure rate in heart transplants.
Oh, would you look at that. Image
Here, in teenagers.
💔😭 Image
Read 5 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(