Li Tian1, Jun Zhu, Lisheng Liu, Yan Liang, Jiandong Li, Yanmin Yang. 1. State Key Laboratory of Cardiovascular Disease and Cardiovascular Department, Emergency and Critical Care Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Abstract
OBJECTIVES: A prediabetic state is defined as the time period before the development of symptomatic diabetes. Limited evidence is available for evaluating the correlation between prediabetes and short-term outcomes in nondiabetic patients with ST-elevation of myocardial infarction (STEMI). METHODS: 4,787 nondiabetic patients with a diagnosis of STEMI based on typical onset of chest pain within 12 h were enrolled. Patients were followed up for 7 and 30 days after hospital admission. According to the 2013 Standards of Medical Care in Diabetes, the study population was stratified into three groups: normal, prediabetic and newly diagnosed diabetic patients. The primary outcomes of our study were all-cause mortality and major adverse cardiac events (MACE) on days 7 day and 30. RESULTS: The proportions of patients with prediabetes and newly diagnosed diabetes were 31.1 and 19.2%, respectively. Rates of 7- and 30-day mortality and MACE were similar among the different HbA1c groups. Multivariable Cox regression analysis showed that compared with normal glucose metabolism, prediabetes (hazard ratio, HR, 1.003; 95% CI, 0.865-1.165) and newly diagnosed diabetes (HR, 0.887; 95% CI, 0.739-1.064) were not correlated with 30-day MACE. However, admission glucose was an independent predictor of short-term MACE (HR, 1.031; 95% CI, 1.017-1.046). CONCLUSIONS: In nondiabetic patients after STEMI, the incidence of latent diabetes mellitus was increased. Newly diagnosed diabetes and prediabetes were not correlated with short-term outcome in nondiabetic patients with STEMI, yet admission glucose level was an independent predictor of short-term MACE. To reduce the incidence of short-term MACE after STEMI, more attention should be paid to the control of increased glucose levels and intrinsic stress states.
OBJECTIVES: A prediabetic state is defined as the time period before the development of symptomatic diabetes. Limited evidence is available for evaluating the correlation between prediabetes and short-term outcomes in nondiabeticpatients with ST-elevation of myocardial infarction (STEMI). METHODS: 4,787 nondiabeticpatients with a diagnosis of STEMI based on typical onset of chest pain within 12 h were enrolled. Patients were followed up for 7 and 30 days after hospital admission. According to the 2013 Standards of Medical Care in Diabetes, the study population was stratified into three groups: normal, prediabetic and newly diagnosed diabeticpatients. The primary outcomes of our study were all-cause mortality and major adverse cardiac events (MACE) on days 7 day and 30. RESULTS: The proportions of patients with prediabetes and newly diagnosed diabetes were 31.1 and 19.2%, respectively. Rates of 7- and 30-day mortality and MACE were similar among the different HbA1c groups. Multivariable Cox regression analysis showed that compared with normal glucose metabolism, prediabetes (hazard ratio, HR, 1.003; 95% CI, 0.865-1.165) and newly diagnosed diabetes (HR, 0.887; 95% CI, 0.739-1.064) were not correlated with 30-day MACE. However, admission glucose was an independent predictor of short-term MACE (HR, 1.031; 95% CI, 1.017-1.046). CONCLUSIONS: In nondiabeticpatients after STEMI, the incidence of latent diabetes mellitus was increased. Newly diagnosed diabetes and prediabetes were not correlated with short-term outcome in nondiabeticpatients with STEMI, yet admission glucose level was an independent predictor of short-term MACE. To reduce the incidence of short-term MACE after STEMI, more attention should be paid to the control of increased glucose levels and intrinsic stress states.
Authors: Soo Beom Choi; Won Jae Kim; Tae Keun Yoo; Jee Soo Park; Jai Won Chung; Yong-ho Lee; Eun Seok Kang; Deok Won Kim Journal: Comput Math Methods Med Date: 2014-07-16 Impact factor: 2.238