Coronavirus: Diabetic people offered support

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Northerner

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People with diabetes are being offered help and support as a study reveals some people with the condition may be at higher risk if they catch coronavirus.

Although the threat of coronavirus is still low for most diabetic people, diabetes was linked to a third of virus deaths in England from 1 March to 11 May, NHS England research shows.

High blood sugar levels and obesity add to the risk.

But age is a bigger risk factor.

People with type 1 or 2 diabetes are strongly advised to follow the government's coronavirus advice.

Diabetics are not included in the list of people at highest risk who should shield at home, although some may be advised to shield if they are at significant risk due to a combination of health factors.

There is a helpline and online advice which people with diabetes can use to help manage their condition during the coronavirus outbreak.


Remind me - how many weeks into this are we? 🙄
 
Anybody know where the base data can be found? I'd like to find out where the ageing, well-controlled, not overweight type 2 fits into the scheme of things.
 
Anybody know where the base data can be found? I'd like to find out where the ageing, well-controlled, not overweight type 2 fits into the scheme of things.
Partha Kar said on twitter yesterday there review of the data should be out today.
 
Anybody know where the base data can be found? I'd like to find out where the ageing, well-controlled, not overweight type 2 fits into the scheme of things.
There’s one study here, Paper 2.
Edit: There is Paper 1 here. Haven’t had time to read them all yet.
 
Thanks Robin, I'll read properly later although I noted that a conclusion referred to hyperglycemia and not to diabetes which I found interesting.
 
I feel it has some very unexpected information such as Type 1 as an independent variable being a higher risk factor than Type 2 and tight control of Type 1 being a higher hazard risk than not so good control. I would thoroughly recommend looking at the info about it from Parthia Kar on his twitter page or his FB Page..
 
Fair enough but there is an awful lot of lumping together going on.

For example, can you separate out the risk for thin, well controlled, T2 diabetics from the data set?

At least T1 & T2 are separated which is something the general media don't do.
 
In the paper there are the risk figures for all “normal” Type 1 and Type 2 e.g. 3.5 for Type 1s. Then there are additional hazardous risk factors which can be both plus and minus from the normal/standard number. These hazard risk factors are shown in the appendices at the end of the main paper. Does this help with your question?
 
For example, can you separate out the risk for thin, well controlled, T2 diabetics from the data set?

As far as I can tell being normal weight and well controlled is associated with lower risk. (They say there's a U shaped curve for weight so being too thin or too fat are worse.)

They also mention that being a current smoker is associated with a lower risk. (Though I imagine if you look at deaths from all causes being a smoker is still a very bad was to preserve health.)
 
In the paper there are the risk figures for all “normal” Type 1 and Type 2 e.g. 3.5 for Type 1s. Then there are additional hazardous risk factors which can be both plus and minus from the normal/standard number. These hazard risk factors are shown in the appendices at the end of the main paper. Does this help with your question?

Yes, just need to get my somewhat slow and ageing brain round how they have manipulated the numbers. Thanks for the links.
 
Odd how really tight control with low hb1ac is a risk factor and a low bmi...I see the active smokers rates are low again 🙄
 
My first look at the raw data suggests that the conclusion that you cannot separate out the effects of age, BMI and diabetes control is unclear from the data set is entirely justified simply because no attempt has been made to sort these things out in the data collection. The data is either grouped by age, by BMI or by HbA1c so interactions cannot be distinguished.

If you look at the raw data very simply (always my starting point in data analysis) what you find is that if you look at deaths in the population of those with a T2 diagnosis, then the only thing which has even the semblance of correlation is age. More older T2 diabetics are dying than younger ones.
 
...that's for type 1's...I downloaded the pdfs from Partha Kar Facebook and the data is more indepth.
 
No Lucy. It was for T2's and taken directly from the original paper. I was only interested in answering the question about my own circumstances!
 
The thing about smokers I should think, is that because all our breathing tubes are at the least generously coated in tar if not completely blocked, the virus possibly (?) has less chance of entering ?

Comparatively though - not actually a good thing.
 
People with diabetes are being offered help and support as a study reveals some people with the condition may be at higher risk if they catch coronavirus.

Although the threat of coronavirus is still low for most diabetic people, diabetes was linked to a third of virus deaths in England from 1 March to 11 May, NHS England research shows.

High blood sugar levels and obesity add to the risk.

But age is a bigger risk factor.

People with type 1 or 2 diabetes are strongly advised to follow the government's coronavirus advice.

Diabetics are not included in the list of people at highest risk who should shield at home, although some may be advised to shield if they are at significant risk due to a combination of health factors.

There is a helpline and online advice which people with diabetes can use to help manage their condition during the coronavirus outbreak.


Remind me - how many weeks into this are we? 🙄
with the new results on diabetes patients, is there any more risk to a type 1 diabetic who is 70 years old, with high blood pressure
 
with the new results on diabetes patients, is there any more risk to a type 1 diabetic who is 70 years old, with high blood pressure

There are data in the second paper but make of it what you will. Making sense of it is not as straightforward as some would have you believe and I still have not worked out what the authors have done to come to the conclusions they have. I'll take responsibility for any conclusions I reach as regards myself because its my own stupid fault if I get it wrong and suffer but won't chance it for anybody else!
 
Hi @Jane50 - you and me both! It still depends on any number of other factor you haven't mentioned though - eg the natural colour of your skin/ethnicity, your day to day and therefore long term control of your BG, being too fat or too thin to name just 3.
 
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