OBJECTIVE: To evaluate the impact of admission glycaemia on short-term and long-term prognosis in diabetic and non-diabetic patients admitted for acute coronary syndromes (ACS), and to identify the independent predictors of post-ACS mortality in this population. METHODS: This study included 1149 consecutive patients admitted to a single coronary care unit for ACS between May 2004 and December 2006. Our population was divided into four groups according to the quartiles of glycaemia at admission [Q1 <5.77 mmol/l, Q2 (5.77-7.0) mmol/l, Q3 (7.0-9.22) mmol/l and Q4 > or =9.22 mmol/l]. Diabetic (n = 396) and non-diabetic (n = 753) subgroups were then separately analysed. RESULTS: Hyperglycaemia at admission was associated with worse cardiovascular risk profile, high levels of necrosis and inflammation biomarkers and low left ventricle ejection fraction. Considering overall population, in-hospital, 30-day and 3-year mortalities were higher in more elevated glycaemia quartiles. In diabetic patients, there were no significant differences in mortality among glycaemia quartiles; however, in non-diabetic group higher admission glucose levels were associated with successively higher in-hospital and 3-year mortalities. After multivariate regression analysis, glycaemia at admission > or =5.77 mmol/l, age > or =72 years, Killip class >1 and troponin I > or =6.0 ng/ml were independent predictors of in-hospital mortality. CONCLUSION: This study suggests that, in a broad ACS population, hyperglycaemia at admission is a short-term and long-term bad prognosis marker, particularly in non-diabetic patients, being a strong independent predictor of in-hospital mortality.
OBJECTIVE: To evaluate the impact of admission glycaemia on short-term and long-term prognosis in diabetic and non-diabeticpatients admitted for acute coronary syndromes (ACS), and to identify the independent predictors of post-ACS mortality in this population. METHODS: This study included 1149 consecutive patients admitted to a single coronary care unit for ACS between May 2004 and December 2006. Our population was divided into four groups according to the quartiles of glycaemia at admission [Q1 <5.77 mmol/l, Q2 (5.77-7.0) mmol/l, Q3 (7.0-9.22) mmol/l and Q4 > or =9.22 mmol/l]. Diabetic (n = 396) and non-diabetic (n = 753) subgroups were then separately analysed. RESULTS: Hyperglycaemia at admission was associated with worse cardiovascular risk profile, high levels of necrosis and inflammation biomarkers and low left ventricle ejection fraction. Considering overall population, in-hospital, 30-day and 3-year mortalities were higher in more elevated glycaemia quartiles. In diabeticpatients, there were no significant differences in mortality among glycaemia quartiles; however, in non-diabetic group higher admission glucose levels were associated with successively higher in-hospital and 3-year mortalities. After multivariate regression analysis, glycaemia at admission > or =5.77 mmol/l, age > or =72 years, Killip class >1 and troponin I > or =6.0 ng/ml were independent predictors of in-hospital mortality. CONCLUSION: This study suggests that, in a broad ACS population, hyperglycaemia at admission is a short-term and long-term bad prognosis marker, particularly in non-diabeticpatients, being a strong independent predictor of in-hospital mortality.
Authors: Joanna Gierach; Marcin Gierach; Iwona Świątkiewicz; Marek Woźnicki; Grzegorz Grześk; Adam Sukiennik; Marek Koziñski; Jacek Kubica Journal: Heart Vessels Date: 2014-12-25 Impact factor: 2.037
Authors: Lukman Thalib; Mohammad Zubaid; Wafa Rashed; Jassim Al Suwaidi; Wael Almahmeed; Ebaa Alozairi; Muath Alanbaei; Kadhim Sulaiman; Haitham Amin; Ahmed Al-Motarreb Journal: Clin Med Res Date: 2010-09-17
Authors: Julio Yoshio Takada; Rogério Bicudo Ramos; Solange Desiree Avakian; Soane Mota dos Santos; José Antonio Franchini Ramires; Antonio de Pádua Mansur Journal: ScientificWorldJournal Date: 2012-02-01
Authors: Teng J Peng; Lars W Andersen; Brian Z Saindon; Tyler A Giberson; Won Young Kim; Katherine Berg; Victor Novack; Michael W Donnino Journal: Crit Care Date: 2015-04-10 Impact factor: 9.097
Authors: Amber M Otten; Jan Paul Ottervanger; Jorik R Timmer; Arnoud Wj van 't Hof; Jan-Henk E Dambrink; At Marcel Gosselink; Jan Ca Hoorntje; Harry Suryapranata; Angela Hem Maas Journal: Diabetol Metab Syndr Date: 2013-07-04 Impact factor: 3.320
Authors: Carlos E Mendez; Ki-Tae Mok; Ashar Ata; Robert J Tanenberg; Jorge Calles-Escandon; Guillermo E Umpierrez Journal: Diabetes Care Date: 2013-10-29 Impact factor: 19.112