Key result
Higher CGM-derived mean glucose correlates with increased platelet morphology indices in type 1 diabetes.
Why the study?
Platelet morphology indices are indirectly related to platelet reactivity and may link glycemic exposure to cardiovascular risk in adults with T1DM.
Are continuous glucose monitoring-derived hyperglycemia metrics associated with platelet morphology indices in adults with type 1 diabetes?
Cross-Sectional (n=301)
Are continuous glucose monitoring-derived hyperglycemia metrics associated with platelet morphology indices in adults with type 1 diabetes?
In adults with type 1 diabetes, cumulative hyperglycemic exposure measured by CGM is independently associated with platelet morphology indices, suggesting a potential link between hyperglycemia and platelet reactivity.
CGM hyperglycemia metrics associate with platelet indices in type 1 diabetes; hypothesis-generating for cardiovascular risk, prospective studies needed.
INTRODUCTION: Platelet morphology indices are indirectly related to platelet reactivity and may link glycemic exposure to cardiovascular risk. OBJECTIVES: We aimed to investigate associations between continuous glucose monitoring (CGM)-derived metrics and platelet morphology in adults with T1DM. PATIENTS AND METHODS: In this cross-sectional study, we enrolled adults with T1DM without established cardiovascular disease. Platelet morphology indices were measured from fasting blood samples using the Sysmex XN-1000 analyzer within 2 hours of blood collection. Glucose profiles were assessed using CGM over 7-, 14-, and 30-day windows and calculated with Glyculator 3.0. We used Spearman correlation and multivariable linear regression models adjusted for age, sex, BMI, diabetes duration, C-reactive protein, glomerular filtration rate, HbA1c, smoking, and platelet count. RESULTS: We included 301 adults with T1DM [median age 33.1 (24.1-41.0), 44.5% men, diabetes duration 13 (7-19) years]. Platelet large cell ratio (P-LCR), mean platelet volume (MPV), and platelet distribution width (PDW)correlated positively with mean glucose (R = 0.27-0.30), time above range (TAR) level 2 (P = 0.25-0.29), glycemic risk index (R = 0.28-0.30), and mean amplitude of glucose excursion (MAGE) (R = 0.20-0.22), and inversely with time in range (R = -0.25 to -0.30; all P < 0.001), but not with hypoglycemia indices. In multivariable models, hyperglycemia-related metrics remained independently associated with P-LCR (standardized β 1.37-1.59; ΔR² 0.014-0.024; P = 0.002); MAGE lost significance in the multivariable model after accounting for TAR level 2. CONCLUSION: In adults with T1DM, platelet morphology independently relates to cumulative hyperglycemic exposure rather than glycemic variability or hypoglycemia.
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Kulecki et al. (2026) conducted a cross-sectional in Type 1 diabetes (n=301). Hyperglycemia metrics from continuous glucose monitoring was evaluated on Correlation between 24-hour mean glucose and mean platelet volume (MPV) at 14 days (R=0.27, p=<0.001). Hyperglycemia metrics from continuous glucose monitoring, such as mean glucose, are significantly and positively correlated with platelet morphology indices including MPV, PDW, and P-LCR in adults with type 1 diabetes.
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