Association between stress hyperglycemic ratio and stroke in older people with metabolic syndrome: a prospective cohort study from UK Biobank.

Researchers studied the relationship between blood sugar levels and stroke risk in older adults with metabolic syndrome using data from over 60,000 people in the UK Biobank. Metabolic syndrome is a cluster of conditions including belly fat, high blood pressure, high cholesterol, and elevated blood sugar that increase risk for heart disease and stroke. The study looked at a measurement called the stress hyperglycemic ratio (SHR), which combines fasting blood sugar with a longer-term measure of blood sugar control called hemoglobin A1c. The researchers followed participants over time to see who developed strokes. They found an interesting pattern: the relationship between SHR and stroke risk wasn't straightforward. Instead, there was a turning point at an SHR level of 0.87. Below this level, higher SHR was associated with lower stroke risk, while above this level, higher SHR was linked to increased stroke risk. This U-shaped relationship was seen for all strokes and specifically for ischemic strokes (caused by blood clots). For patients with metabolic syndrome considering complementary approaches like acupuncture for cardiovascular health management, this research highlights how complex the relationship between blood sugar and stroke risk can be in older adults. Blood sugar control remains important, but the relationship isn't simple—both very low and very high levels may pose concerns. If you're interested in acupuncture as part of your wellness plan, seek care from a licensed acupuncturist with experience treating patients with metabolic conditions.

This prospective cohort study analyzed 60,931 UK Biobank participants aged ≥60 years with metabolic syndrome to examine associations between stress hyperglycemic ratio (SHR)—calculated from fasting blood glucose and HbA1c—and stroke incidence. Using Cox proportional hazards models and restricted cubic spline analysis, researchers found no linear association between SHR and stroke outcomes. However, nonlinear relationships emerged for total stroke and ischemic stroke with an inflection point at SHR=0.87. Below this threshold, higher SHR associated with reduced stroke risk; above it, higher SHR correlated with increased risk. This U-shaped relationship remained after adjusting for all covariates, though subgroup analyses showed no significant interaction effects. Clinical takeaway: In older adults with metabolic syndrome, the relationship between glucose metabolism markers and cerebrovascular risk is complex and nonlinear. Both excessively low and high SHR values may warrant clinical attention when assessing stroke risk in this population.