For generations, medicine has measured blood sugar in snapshots — a fasting number, a quarterly average — missing the living rhythm of glucose as it rises and falls through a human day. Researchers at Boston University have now shown, through continuous glucose monitoring data from 1,300 non-diabetic adults in the Framingham Heart Study, that these hidden rhythms carry meaning: higher average glucose and extended time above 140 mg/dL correlate with hypertension and elevated cholesterol, the early harbingers of cardiovascular disease. The finding invites a quiet but consequential question — whe
CGM Devices Reveal Glucose Patterns Linked to Heart Disease Risk in Non-Diabetics
Glucose patterns may reveal heart risk before diabetes develops
So these researchers found that glucose patterns in people without diabetes predict heart disease risk. But how much of a leap is that from what we already know?
The key difference is that traditional blood tests—fasting glucose, A1c—only give you a snapshot or an average. They miss the actual pattern of highs and lows throughout the day. CGM devices show you that pattern in real time.
Right, but let's be precise about what they found. They looked at 1,300 people, measured their glucose patterns, and found associations with blood pressure and cholesterol levels. That's a cross-sectional study—a moment in time. They didn't follow people forward to see if those glucose patterns actually predicted who got heart disease.
True. But other studies cited in the paper have shown that time spent above 140 mg/dL is longitudinally associated with developing type 2 diabetes and cardiometabolic problems. So there's a growing body of evidence pointing the same direction.
What's the practical implication? Would doctors start putting CGM devices on people without diabetes?
That's the possibility. If glucose patterns can identify risk before diabetes develops, it could shift prevention from reactive to proactive. You catch the problem early.
But we don't know yet if catching it early and intervening actually changes outcomes. And there's a cost question—CGM devices aren't cheap, and this would be a major expansion of their use.
So the study is suggestive but not conclusive.
Exactly. It's solid evidence that the association exists. Whether it's useful for clinical practice requires more work.
The researchers themselves say additional studies are needed. They're not claiming this should change practice tomorrow. But they're pointing toward where the field might go.
Le Pouls
- Standard blood sugar tests leave a blind spot: they cannot see the peaks, valleys, and hours of elevated glucose that unfold between clinic visits, and that blind spot may be hiding early cardiovascular risk.
- A study of 1,300 non-diabetic, heart-healthy adults found that those with higher average glucose and more time above 140 mg/dL were measurably more likely to show signs of hypertension and high cholesterol — risk markers that precede heart disease.
- The research adds to a growing body of evidence suggesting that intermittent or low-grade glucose dysregulation — invisible to conventional testing — may be quietly shaping long-term cardiometabolic trajectories.
- Scientists are careful to note they found associations, not causation, and that confirming whether acting on these glucose patterns actually prevents heart disease will require further study.
- If the evidence holds, clinical practice could shift meaningfully — using wearable glucose monitors not just to manage diabetes, but to screen for cardiovascular risk in people who have not yet crossed any diagnostic threshold.
For generations, medicine has measured blood sugar in snapshots — a fasting number, a quarterly average — missing the living rhythm of glucose as it rises and falls through a human day. Researchers at Boston University have now shown, through continuous glucose monitoring data from 1,300 non-diabetic adults in the Framingham Heart Study, that these hidden rhythms carry meaning: higher average glucose and extended time above 140 mg/dL correlate with hypertension and elevated cholesterol, the early harbingers of cardiovascular disease. The finding invites a quiet but consequential question — whether the tools we have long reserved for managing illness might instead be turned toward preventing it, catching metabolic drift before it becomes diagnosis.
The standard tools for measuring blood sugar — a fasting test, a three-month hemoglobin A1c average — offer only a still frame where there is actually a film. They cannot capture the peaks and valleys of glucose across a day, the hours spent running too high. Continuous glucose monitors, worn on the skin and sampling every few minutes, are beginning to reveal what those still frames miss.
Researchers at Boston University's Chobanian & Avedisian School of Medicine analyzed CGM data from roughly 1,300 participants in the Framingham Heart Study — adults without diabetes and without existing heart disease — and found that their glucose patterns were meaningfully linked to cardiometabolic risk. Those with higher average glucose, and those spending more time above 140 mg/dL, showed greater likelihood of hypertension or elevated cholesterol. Corresponding author Nicole Spartano noted that understanding how glucose behaves over time could be key to identifying early or intermittent dysregulation and the cardiovascular risks it may carry.
The implications reach beyond diabetes care. Lead author Bahar Bakhshi pointed to converging research suggesting that time above 140 mg/dL is associated with later development of type 2 diabetes and cardiometabolic problems in people who currently appear metabolically healthy. This study adds a cross-sectional layer to that picture — a snapshot confirming the association exists — while the field works toward understanding whether these patterns genuinely predict future disease.
The researchers are deliberate about the limits of their findings: association is not causation, and additional studies are needed before clinical recommendations can follow. But the direction is legible. If glucose monitoring can surface risk before diabetes or heart disease takes hold, it could move medicine closer to true prevention — catching metabolic trouble early enough that intervention might still change the course. What remains unresolved is whether the healthcare system, and the economics of widespread monitoring, can meet that possibility.
The standard way doctors check your blood sugar—a fasting test in the morning, or a three-month average called hemoglobin A1c—captures only a single moment or a blurred summary. They miss the actual story of how your glucose moves through the day, the peaks and valleys, the hours spent too high or too low. Continuous glucose monitoring devices, worn on the skin and reading glucose every few minutes, are changing what we can see.
Researchers at Boston University's Chobanian & Avedisian School of Medicine have now shown that these detailed glucose patterns matter even for people who don't have diabetes. In a study published in Diabetes Care, they analyzed continuous glucose monitoring data from roughly 1,300 participants in the Framingham Heart Study—people without diabetes and without existing heart disease—and found that the glucose patterns their monitors captured were linked to markers of cardiometabolic risk: high blood pressure, elevated cholesterol, the early warning signs of cardiovascular trouble.
The connection was specific. Adults whose average glucose was higher, and those who spent a larger percentage of time with blood sugar above 140 mg/dL, showed greater risk of hypertension or high cholesterol. The finding suggests that glucose patterns, even in people whose standard blood tests look normal, may reveal something important about their heart and metabolic health. Nicole Spartano, an assistant professor of medicine and corresponding author on the work, framed it this way: understanding how glucose behaves over time could be crucial to catching early or intermittent dysglycemia—blood sugar dysregulation that comes and goes—and the downstream risks it carries.
The implications are substantial. Continuous glucose monitoring has already become routine for people managing diabetes. But this research points toward a different use: screening for cardiovascular disease risk in people who haven't yet developed diabetes. Bahar Bakhshi, the study's lead author and a PhD candidate, noted that other emerging research has found that spending more time above 140 mg/dL is associated with the later development of type 2 diabetes and cardiometabolic problems in people who don't currently have diabetes. This study adds cross-sectional evidence—a snapshot showing the association exists—but the field is building toward understanding whether these glucose patterns actually predict future disease.
The work was funded by the National Heart, Lung and Blood Institute and the National Institute of Diabetes and Digestive and Kidney Diseases, with additional support from the American Heart Association. Dexcom, a major CGM manufacturer, provided devices at a reduced cost. The researchers are careful about their claims: they found associations, not proof of cause and effect. Additional studies will be needed to confirm whether intervening on glucose patterns in non-diabetic adults actually prevents heart disease.
But the direction is clear. If glucose monitoring can identify people at risk before they develop diabetes or heart disease, it could reshape how doctors think about prevention. Instead of waiting for a diagnosis, clinicians might use these devices to spot metabolic trouble early, when intervention might still change the course. The question now is whether the medical system will move toward that practice, and whether the cost and logistics of widespread glucose monitoring can be solved.
Citations marquantes
Understanding temporal glucose patterns may be pivotal in uncovering early or intermittent dysglycemia and its downstream cardiometabolic risks.— Nicole Spartano, PhD, assistant professor of medicine at Boston University
Higher percentage of time spent at glucose levels above 140 mg/dL is longitudinally associated with the development of cardiometabolic outcomes, including type 2 diabetes, among individuals without type 2 diabetes.— Bahar Bakhshi, MS, lead author and PhD candidate