[1] Castro-Dominguez Y, Dharmarajan K, McNamara R L. Predicting death after acute myocardial infarction[J]. Trends Cardiovasc Med, 2018, 28(2): 102-109.
[2] Vogel B, Claessen B E, Arnold S V, et al. ST-segment elevation myocardial infarction[J]. Nat Rev Dis Primers, 2019, 5(1): 39.
[3] Eddy D, Schlessinger L, Kahn R, et al. Relationship of insulin resistance and related metabolic variables to coronary artery disease: a mathematical analysis[J]. Diabetes Care, 2009, 32(2): 361-366.
[4] 中国心血管健康与疾病报告编写组. 中国心血管健康与疾病报告2022概要[J]. 中国循环杂志, 2023, 38(6): 583-612.
[5] Yancy C W, Jessup M, Bozkurt B, et al. 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on practice guidelines[J]. J Am Coll Cardiol, 2013, 62(16): e147-e239.
[6] Cui C Y, Zhou M G, Cheng, et al. Admission hyperglycemia as an independent predictor of long-term prognosis in acute myocardial infarction patients without diabetes: a retrospective study[J]. J Diabetes Investig, 2020, 12(7): 1244-1251.
[7] Khalfallah M, Abdelmageed R, Elgendy E, et al. Incidence, predictors and outcomes of stress hyperglycemia in patients with ST elevation myocardial infarction undergoing primary percutaneous coronary intervention[J]. Diab Vasc Dis Res, 2020, 17(1): 1479164119883983.
[8] Keeley E C, Boura J A, Grines C L. Primary angioplasty versus intravenous thrombolytic therapy for acute myocardial infarction: a quantitative review of 23 randomised trials[J]. Lancet, 2003, 361(9351): 13-20.
[9] Khalfallah M, Maria D A, Allaithy A. Impact of stress hyperglycemia on No-Reflow phenomenon in patients with ST elevation myocardial infarction undergoing primary percutaneous coronary intervention[J]. Glob Heart, 2022, 17(1): 23.
[10] Gao S D, Liu Q B, Ding X S, et al. Predictive value of the acute-to-chronic glycemic ratio for in-hospital outcomes in patients with ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention[J]. Angiology, 2020, 71(1): 38-47.
[11] Dungan K M, Braithwaite S S, Preiser J C. Stress hyperglycaemia[J]. Lancet, 2009, 373(9677): 1798-1807.
[12] Roberts G W, Quinn S J, Valentine N, et al. Relative hyperglycemia, a marker of critical illness: introducing the stress hyperglycemia ratio[J]. J Clin Endocrinol Metab, 2015, 100(12): 4490-4497.
[13] Marenzi G, Cosentino N, Milazzo V, et al. Prognostic value of the acute-to-chronic glycemic ratio at admission in acute myocardial infarction: a prospective study[J]. Diabetes Care, 2018, 41(4): 847-853.
[14] Sia C H, Chan M H H, Zheng H L, et al. Optimal glucose, HbA1c, glucose-HbA1c ratio and stress-hyperglycaemia ratio cut-off values for predicting 1-year mortality in diabetic and non-diabetic acute myocardial infarction patients[J]. Cardiovasc Diabetol, 2021, 20(1): 211.
[15] Schmitz T, Freuer D, Harmel E, et al. Prognostic value of stress hyperglycemia ratio on short- and long-term mortality after acute myocardial infarction[J]. Acta Diabetol, 2022, 59(8): 1019-1029.
[16] Xu W, Yang Y M, Zhu J, et al. Predictive value of the stress hyperglycemia ratio in patients with acute ST-segment elevation myocardial infarction: insights from a multi-center observational study[J]. Cardiovasc Diabetol, 2022, 21(1): 48.
[17] Thygesen K, Alpert J S, Jaffe A S, et al. Fourth universal definition of myocardial infarction (2018)[J]. J Am Coll Cardiol, 2018, 72(18): 2231-2264.
[18] Joubert M, Hardouin J, Legallois D, et al. Effects of glycaemic variability on cardiac remodelling after reperfused myocardial infarction: evaluation of streptozotocin-induced diabetic Wistar rats using cardiac magnetic resonance imaging[J]. Diabetes Metab, 2016, 42(5): 342-350.
[19] Chattopadhyay S, George A, Jonh J, et al. Two-hour post-challenge glucose is a better predictor of adverse outcome after myocardial infarction than fasting or admission glucose in patients without diabetes[J]. Acta Diabetol, 2018, 55(5): 449-458.
[20] Lee T F, Burt M G, Heilbronn L K, et al. Relative hyperglycemia is associated with complications following an acute myocardial infarction: a post-hoc analysis of HI-5 data[J]. Cardiovasc Diabetol, 2017, 16(1): 157.
[21] Lv J X, Wang C S, Gao X J, et al. Development and validation of dynamic models to predict postdischarge mortality risk in patients with acute myocardial infarction: results from China Acute Myocardial Infarction Registry[J]. BMJ Open, 2023, 13(3): e069505.
[22] Tang, EW, Wong, et al. Global registry of acute coronary events (GRACE) hospital discharge risk score accurately predicts long-term mortality post acute coronary syndrome[J]. Am Heart J, 2007, 153(1): 29-35.
[23] Vicent L, Velásquez-Rodríguez J, Valero M M J, et al. Predictors of high Killip class after ST segment elevation myocardial infarction in the era of primary reperfusion[J]. Int J Cardiol, 2017, 248: 46-50.
[24] Pan W J, Lu H N, Lian B T, et al. Prognostic value of HbA1c for in-hospital and short-term mortality in patients with acute coronary syndrome: a systematic review and meta-analysis[J]. Cardiovasc Diabetol, 2019, 18(1): 169.
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