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Acute Kidney Injury in Diabetic Patients With Acute Myocardial Infarction: Role of Acute and Chronic Glycemia

Authors :
Giancarlo Marenzi
Nicola Cosentino
Valentina Milazzo
Monica De Metrio
Mara Rubino
Jeness Campodonico
Marco Moltrasio
Ivana Marana
Marco Grazi
Gianfranco Lauri
Alice Bonomi
Simone Barbieri
Emilio Assanelli
Alessia Dalla Cia
Roberto Manfrini
Roberto Ceriani
Antonio Bartorelli
Source :
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 7, Iss 8 (2018)
Publication Year :
2018
Publisher :
Wiley, 2018.

Abstract

BackgroundIn acute myocardial infarction, acute hyperglycemia is a predictor of acute kidney injury (AKI), particularly in patients without diabetes mellitus. This emphasizes the importance of an acute glycemic rise rather than glycemia level at admission. We investigated whether, in diabetic patients with acute myocardial infarction, the combined evaluation of acute and chronic glycemic levels may have better prognostic value for AKI than admission glycemia. Methods and ResultsAt admission, we prospectively measured glycemia and estimated average chronic glucose levels (mg/dL) using glycosylated hemoglobin (HbA1c), according to the following formula: 28.7×HbA1c (%)−46.7. We evaluated the association with AKI of the acute/chronic glycemic ratio and of the difference between acute and chronic glycemia (ΔA−C). We enrolled 474 diabetic patients with acute myocardial infarction. Of them, 77 (16%) experienced AKI. The incidence of AKI increased in parallel with the acute/chronic glycemic ratio (12%, 14%, 22%; P=0.02 for trend) and ΔA−C (13%, 13%, 23%; P=0.01) but not with admission glycemic tertiles (P=0.22). At receiver operating characteristic analysis, the acute/chronic glycemic ratio (area under the curve: 0.62 [95% confidence interval, 0.55–0.69]; P=0.001) and ΔA−C (area under the curve: 0.62 [95% confidence interval, 0.54–0.69]; P=0.002) accurately predicted AKI, without difference in the area under the curve between them (P=0.53). At reclassification analysis, the addition of the acute/chronic glycemic ratio and ΔA−C to acute glycemia allowed proper AKI risk prediction in 16% of patients. ConclusionsIn diabetic patients with acute myocardial infarction, AKI is better predicted by the combined evaluation of acute and chronic glycemic values than by assessment of admission glycemia alone.

Details

Language :
English
ISSN :
20479980
Volume :
7
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Publication Type :
Academic Journal
Accession number :
edsdoj.4fd53b2e809462693362caa5686eed0
Document Type :
article
Full Text :
https://doi.org/10.1161/JAHA.117.008122