6533b837fe1ef96bd12a3477
RESEARCH PRODUCT
Impact pronostique de l’HbA1c et de la glycémie plasmatique (Gp) à la phase aiguë d’un infarctus du myocarde sur la mortalité à un an chez des patients non diabétiques
Florence BichatC. LairetMarianne ZellerR. N’guettaH. YaoE. Gueniat-ratheauB. MaalemMaud MazaH. DebeaumarcheYves Cottinsubject
Gynecologymedicine.medical_specialtyHbA1cbusiness.industryGlycemic stress[SDV]Life Sciences [q-bio]Non-diabetic030204 cardiovascular system & hematologyMyocardial infraction3. Good health[SDV] Life Sciences [q-bio]One year mortality03 medical and health sciencesOne-year mortality0302 clinical medicineMedicineCardiology and Cardiovascular MedicinebusinessNon diabeticdescription
International audience; Background: The usefulness of the combined assessment of HbA1c and plasma glucose (PG) in acute myocardial infarction (AMI) in non-diabetic patients remains unclear.Purpose: In a large observational study, we aimed to identify the prognostic values of these biomarkers regarding one-year all-cause mortality in non-diabetic patients after AMI.Methods: From the "obseRvatoire des Infarctus de Côte d'Or" (RICO) survey database, we included all consecutive non-diabetic patients with AMI (n=6617) from May 2001 to December 2016. Exclusion criteria were: admission known or unknown diabetes, in-hospital death. The primary endpoint was all-cause one-year mortality. The secondary endpoints were: MACE, infarct size, LVEF5.9% was associated with elevated rate of CRP>3mg/L (P<0.001); high HbA1c and high PG together were associated with higher rate of MACE (P<0.001). By multivariate logistic regression analysis, elevated admission PG remained a strong predictor of one-year all-cause [OR (95%CI): 1.64 (1.31-2.05)] mortality and cardiovascular mortality [OR (95%CI): 1.75 (1.33-2.31)], beyond GRACE score [OR (95%CI): 1.03 (1.03-1.04)], as well as elevated HbA1c [OR (95%CI): 1.43 (1.15-1.78) and OR (95%CI): 1.83 (1.39-2.41) respectively].Conclusions: Admission PG and HbA1c had strong independent predictive value regarding one-year all-cause mortality in our non-diabetic patients with AMI. These biomarkers could be useful to identify the most-at-risk patients after AMI in order to reduce residual risk in this target population.
year | journal | country | edition | language |
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2020-10-31 |