Predictive Value of Glycemic Parameters Measured With the FSL Pro iQ During ACS

Disorders of glycemic regulation are common in patients hospitalized for acute coronary syndrome (ACS). Abnormal glycaemia is observed in 50% of cases, in 30-40% diabetes, and in 25-35% fasting hyperglycaemia or glucose intolerance. Hyperglycemia is a major prognostic factor in ACS, with admission hyperglycemia having independent prognostic value for both short- and long-term major cardiovascular events (MACE), regardless of the presence of diabetes. Metabolically, several situations can be distinguished: * Hyperglycaemia occurs in known non-diabetic ACS subjects. It can be indicative of (i) Type 2 Diabetes or (ii) stress hyperglycaemia (diagnostic threshold for blood sugar varies according to learned societies, with HbA1c \< 6.5%). * Hyperglycaemia occurs in known diabetic ACS subjects Most studies use admission blood sugar as a predictor. However, it has recently been shown that glycemic variability indexes would be better predictors of MACE. Using continuous glucose measurement for 48 h, it has been shown that significant glycemic variability is a more powerful predictor of MACE at 1 year than admission glycemia The measurement of glycemic variability is mainly possible thanks to the development of CGM (continuous glucose measurement). To our knowledge, no study has been interested in evaluating the predictive value of the various glycemic parameters measured by CGM. Published studies have used continuous glucose measurements for very short periods (24 or 72 hours max…

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Ariane SULTAN, Professor  ·  0467338431  ·  a-sultan@chu-montpellier.fr

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