Thank you just trying to understand the risk sir Because I understand before this study the risk was low now it say 1.11 but the scientist here twice as likely to die as someone without type 2 so it’s totally different imho I hope u understand where I’m coming from the mortality rate of covid is different some are quite high
Cruise ships might have the edge on nursing homes here in Australia, although there is a new late running contender from a Victorian meat works cluster.But it also depends on where you live, what you eat and multiple other things.
Are you talking about the risk vs HbA1c? In this case the difference is statistically relevant. If you read the table it saysI do wonder how statistically relevent 1.1 to 1 to 1.05 is to a lay man they sound pretty much the same and close to the 1.4 ish you already suggested for type 2 well controlled without co morbidities?
@Lupf
No one can give you your personal risk in these forums. If you look at these reports my understanding is 1 is the baseline. Add and subtract various other factors from there. Age, control, gender, comorbidities, weight, ethnicity, etc etcSo with diabetes which isnt well controlled and being 70, with stage 2 hypertension, I suppose my chances could be slightly worse than someone with just type 1 diabetes which is well controlled and without hypertension
I’m not sure of the point you are making.Cruise ships might have the edge on nursing homes here in Australia, although there is a new late running contender from a Victorian meat works cluster.
Australia's total Covid 19 death count got to 100 the other day....
But it also depends on where you live, what you eat and multiple other things.
Where there are very limited cases (like in Pakistan) the risk of death will be very different to the UK.
Pakistan has far fewer infectious people and way less deaths.. the risk factors there are very different to those in the UK.
You have asked this same question many times in these forums. We cannot give you a specific risk. Yes type 2 is twice the risk of non diabetic. Being young is a good point and lowers risk (baseline of 1 is in the 60’s). Having good control is a positive so do your best here. Having a good weight is positive so again do your best there. Most importantly remember if the fundamental and underlying risk of dying is low a doubling of risk means a lot less. Eg 1% doubled is just 2%. And if your locality has very few cases (Pakistan) you are a lot less likely to catch it in the first place, particularly if you are exercising good precautions.Sir I am trying find a general morality rate for type 2 in early 40s according to a new study and a credible organisation like the NHS because their w is Confusion around this take my words for it twice is likely to die than general population is Alarming isn’t it that’s all I am trying to find out Pakistan has low numbers because of reasons unknown yet regards
So with diabetes which isnt well controlled and being 70, with stage 2 hypertension, I suppose my chances could be slightly worse than someone with just type 1 diabetes which is well controlled and without hypertension
Weight is 89kg height is 6,1 BM1 is around 26 I’m overweight I my bmi needs to be 25 Hey but I’m trying sorry very sensitive about weight issue I even don’t tell ppl I’m diabetic because if they haven’t seen me or don’t know me personally they assume oh he must be a fatty but my doc says it’s genetic my parents had anyways I have started avoiding ppl since my diagnosis
Are you talking about the risk vs HbA1c? In this case the difference is statistically relevant. If you read the table it says
< 48 1.11 95% CI 1·04 – 1·18)
49- 53 1 (reference value)
This means that with 95% confidence level or probability we expect this value to be between 1.04 and 1.18. However, each person is different, so you should be very careful drawing conclusions, in particular if the difference is so small, the variation between individuals is much larger. You said so in your other post yourself.
I do find such levels of some concern when they are compared with tests that themselves have a comparative substantial variance.
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I do find such levels of some concern when they are compared with tests that themselves have a comparative substantial variance.
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Didn’t mean anything other than trying to be reassuring. Nowhere really knows their mortality rates yet. Too much uncertainty around who is getting symptoms enough to even suspect infection, who is getting tested and therefore diagnosed, how deaths are being recorded....it’s all guesstimates and possibly wildly inaccurate for the whole population. If many are infected and recover without positive tests the mortality rates look far worse than they actually are. If deaths are being wrongly classified that too effects rates.Oh and btw here the mortality rate is 2.2 percent so double that is = 4.4 so I guess survival rate is 95.6 according to this study ok fair enough now I know what we are dealing with that’s all I wanted I know someone will say other variables are involved but generally speaking it’s the number mentioned above not a data scientist but kept it simple thanks for the help again guys
Individual variance is much larger than small differences, even if these are statistically meaningful. I've said this, you've said it @Brunneria and @HSSS @Tophat1900 are all saying this, so @MTS1980 and others please stop worrying about small differences and updates when new studies appear.
What is important is the big picture. By far the largest difference is age. In the study by Valabhji's group they studied ~10'000 people who had diabetes and died from Covid-19. Of these only 23 were below 40, and 90 were 40 to 49 years old. None of the dead below 50 was T1. More than half of those who died were > 80 years old. Roughly speaking, every 10 years age difference your risk of dying from Covid-19 doubles.
BTW, This is a very useful tool, thanks @Bill_St. I would have like to have this already when my last HbA1c test came out higher than I expected.
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