“Crystal Ball” Method Predicts Risk of DYING Within 4 Years
If you had the opportunity to look into the future and find out when you’re going to die… would you do it?
I wouldn’t. Personally, I don’t want to think about dying… I want to think about living.
Having said that, knowing your risks of something like a cardiovascular event—or even of an early demise—can help you make key life changes that could impact your outcome.
And it just so happens that one specific blood measurement can predict your risk of dying in the next 4 years.
Unless you do something to change it now…
A recent study showed that your blood glucose levels alone can be used to predict cardiovascular disease AND all-cause mortality.
Here’s the kicker… this was the case even in people without type 2 diabetes.
This data was collected from over 600,000 patients admitted to the emergency department over about 4 years.
The researchers analyzed measurements of…
- normal glucose tolerance
- hypoglycemia (low blood sugar)
- hyperglycemia (high blood sugar)
- dysglycemia (any abnormality in blood sugar levels)
Compared to those with normal glucose tolerance, those with any blood sugar abnormalities had a HIGHER risk of dying during the follow-up period.
Those with hyperglycemia specifically had a two-fold increase in long-term mortality and more than DOUBLE the risk of a cardiovascular disease event.
This study proves (yet again) that you don’t have to have diabetes—or even prediabetes—to experience consequences from high blood sugar.
Any reading other than “normal” isn’t just cause for concern—but a call to action.
If your blood glucose levels fall outside the “normal” range, talk to your doctor and work on a plan to balance them… before it’s too late.
P.S. Research shows there’s a simple, inexpensive way for people with diabetes and prediabetes to lower their blood sugar… without taking a single drug. I’ve got all the details right there.
SOURCE:
“Admission glucose as a prognostic marker for all-cause mortality and cardiovascular disease.” Cardiovasc Diabetol 21, 258 (2022). https://doi.org/10.1186/s12933-022-01699-y
