Predictors of recurrent acute myocardial infarction despite successful percutaneous coronary intervention
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Background/Aims: Recurrent acute myocardial infarction (AMI) is an adverse cardiac event in patients with a first AMI. The predictors of recurrent AMI after the first AMI in patients who underwent successful percutaneous coronary intervention (PCI) have not been elucidated. Methods: We analyzed the data collected from 9,869 patients (63.2 ± 12.4 years, men:women = 7,446:2,423) who were enrolled in the Korea Acute Myocardial Infarction Registry-National Institute of Health between November 2011 and October 2015, had suffered their first AMI and had received successful PCI during the index hospitalization. Multivariable logistic regression analysis was performed to identify the independent predictors of recurrent AMI following the first AMI. Results: The cumulative incidence of recurrent AMI after successful PCI was 3.6% (359/9,869). According to the multivariable logistic regression analysis, the significant predictive factors for recurrent AMI were diabetes mellitus, renal dysfunction, atypical chest pain, and multivessel disease. Conclusions: In this Korean prospective cohort study, the independent predictors of recurrent AMI after successful PCI for the first AMI were diabetes mellitus, renal dysfunction, atypical chest pain, and multivessel disease.
Abstract
Background/Aims: Recurrent acute myocardial infarction (AMI) is an adverse cardiac event in patients with a first AMI. The predictors of recurrent AMI after the first AMI in patients who underwent successful percutaneous coronary intervention (PCI) have not been elucidated. Methods: We analyzed the data collected from 9,869 patients (63.2 ± 12.4 years, men:women = 7,446:2,423) who were enrolled in the Korea Acute Myocardial Infarction Registry-National Institute of Health between November 2011 and October 2015, had suffered their first AMI and had received successful PCI during the index hospitalization. Multivariable logistic regression analysis was performed to identify the independent predictors of recurrent AMI following the first AMI. Results: The cumulative incidence of recurrent AMI after successful PCI was 3.6% (359/9,869). According to the multivariable logistic regression analysis, the significant predictive factors for recurrent AMI were diabetes mellitus, renal dysfunction, atypical chest pain, and multivessel disease. Conclusions: In this Korean prospective cohort study, the independent predictors of recurrent AMI after successful PCI for the first AMI were diabetes mellitus, renal dysfunction, atypical chest pain, and multivessel disease.
참고문헌 (26)
- Virani SS, "Heart disease and stroke statistics-2021 update : a report from the American Heart Association", Circulation, 143, pp.e254~e743 (2021)
- Kim JH, "Multicenter cohort study of acute myocardial infarction in Korea : interim analysis of the Korea Acute Myocardial Infarction Registry-National Institutes of Health Registry", Circ J, 80, pp.1427~1436 (2016)
- Ulvenstam G, "Recurrent myocardial infarction. 1. Natural history of fatal and non-fatal events", Eur Heart J, 6, pp.294~302 (1985)
- Thygesen K, "Third universal definition of myocardial infarction", Circulation, 126, pp.2020~2035 (2012)
- Fox KA, "Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome : prospective multinational observational study(GRACE)", BMJ, 333, pp.1091~ (2006)
- The Asia-Pacific Perspective:Redefining Obesity and Its Treatment, "World Health Organization", World Health Organization, 17~18 (2000)
- Anand SS, "Risk factors for myocardial infarction in women and men : insights from the INTERHEART study", Eur Heart J, 29, pp.932~940 (2008)
- Park HW, "Early-and late-term clinical outcome and their predictors in patients with ST-segment elevation myocardial infarction and non-ST-segment elevation myocardial infarction", Int J Cardiol, 169, pp.254~261 (2013)
- Yudi MB, "Trends and predictors of recurrent acute coronary syndrome hospitalizations and unplanned revascularization after index acute myocardial infarction treated with percutaneous coronary intervention", Am Heart J, 212, pp.134~143 (2019)
- Thune JJ, "Predictors and prognostic impact of recurrent myocardial infarction in patients with left ventricular dysfunction, heart failure, or both following a first myocardial infarction", Eur J Heart Fail, 13, pp.148~153 (2011)
- Song J, "Incidence, predictors, and prognostic impact of recurrent acute myocardial infarction in China", Heart, 107, pp.313~318 (2020)
- Nakatani D, "Incidence, predictors, and subsequent mortality risk of recurrent myocardial infarction in patients following discharge for acute myocardial infarction", Circ J, 77, pp.439~446 (2013)
- Aronson D, "Coronary artery disease and diabetes mellitus", Cardiol Clin, 32, pp.439~455 (2014)
- Foley RN, "Epidemiology of cardiovascular disease in chronic renal disease", J Am Soc Nephrol, 9(12 Suppl), pp.S16~S23 (1998)
- Bauters C, "Predictors of restenosis after coronary stent implantation", J Am Coll Cardiol, 31, pp.1291~1298 (1998)
- Jukema JW, "Restenosis after PCI. Part 1 : pathophysiology and risk factors", Nat Rev Cardiol, 9, pp.53~62 (2011)
- Wihanda D, "Factors associated with in-stent restenosis in patients following percutaneous coronary intervention", Acta Med Indones, 47, pp.209~215 (2015)
- Sukhija R, "Predictors of in-stent restenosis and patient outcome after percutaneous coronary intervention in patients with diabetes mellitus", Am J Cardiol, 100, pp.777~780 (2007)
- Goldberg SL, "Predictors of diffuse and aggressive intra-stent restenosis", J Am Coll Cardiol, 37, pp.1019~1025 (2001)
- Claessen BE, "Impact of lesion length and vessel size on clinical outcomes after percutaneous coronary intervention with everolimus-versus paclitaxel-eluting stents pooled analysis from the SPIRIT(Clinical Evaluation of the XIENCE V Everolimus Eluting Coronary Stent System)and COMPARE(second-generation everolimus-eluting and paclitaxel-eluting stents in real-life practice)Randomized Trials", JACC Cardiovasc Interv, 4, pp.1209~1215 (2011)
- Theuerle J, "Utility of the ACC", AHA lesion classification as a predictor of procedural, 30-day and 12-month outcomes in the contemporary percutaneous coronary intervention era, 2018, pp.92, E227~E234
- Abtan J, "Residual ischemic risk and its determinants in patients with previous myocardial infarction and without prior stroke or TIA : insights from the REACH Registry", Clin Cardiol, 39, pp.670~677 (2016)
- Yu X, "Serum triglyceride lipase concentrations are independent risk factors for coronary artery disease and in-stent restenosis", J Atheroscler Thromb, 26, pp.762~774 (2019)
- Suzuki K, "Elevated serum non-HDL(high-density lipoprotein)cholesterol and triglyceride levels as residual risks for myocardial infarction recurrence under statin treatment", Arterioscler Thromb Vasc Biol, 39, pp.934~944 (2019)
- Gallone G, "Medical therapy for long-term prevention of atherothrombosis following an acute coronary syndrome : JACC state-of-the-art review", J Am Coll Cardiol, 72(23 Pt A), pp.2886~2903 (2018)
- Shang P, "Association between medication adherence and 1-year major cardiovascular adverse events after acute myocardial infarction in China", J Am Heart Assoc, 8, pp.e011793~ (2019)