Prospective 5-year follow-up of patients with acute coronary syndrome and percutaneous coronary intervention
Natalia A. Musikhina , Alina I. Teploukhova , Tatyana I. Petelina , Elena A. Gorbatenko , Ivan S. Bessonov , Lyudmila I. Gapon
Kazan medical journal ›› 2022, Vol. 103 ›› Issue (2) : 181 -187.
Prospective 5-year follow-up of patients with acute coronary syndrome and percutaneous coronary intervention
Background. The study of predictors that negatively affect the long-term prognosis of patients with an increased risk of coronary syndrome can improve the effectiveness of measures for the secondary prevention of cardiovascular events.
Aim. To determine the factors that have a negative impact on 5-year survival in patients with acute coronary syndrome and percutaneous coronary intervention.
Material and methods. 135 patients with acute coronary syndrome enrolled in the “Register of percutaneous coronary interventions” in 2012–2013 at the Tyumen Cardiology Center, a branch of the Tomsk Research Institute of Cardiology of the Russian Academy of Sciences, were included in the study. After 12 and 60 months, the clinical status of patients and ongoing drug therapy were evaluated, and an examination including echocardiography with an ultrasound scanner, daily monitoring of the electrocardiogram and standard blood pressure measuring was performed. Laboratory studies included general and biochemical blood tests. To calculate the factors associated with poor prognosis, a Cox proportional hazards regression model with stepwise inclusion was used. Survival was assessed by the Kaplan–Meier method using the Log-rank test (logarithmic test).
Results. After 1 year, only three-quarters of patients continued the recommended drug therapy, a similar trend continued after 5 years of follow-up. The number of patients without any antiplatelet therapy increased from 19.9% after 12 months to 29.7% after 60 months. Overall survival after 1 year was 97.1%, after 5 years — 86.7%. The risk of death increased in the presence of chronic kidney disease (risk ratio 15.1; 95% confidence interval 4.30–52.93; p=0.001); type 2 diabetes mellitus (risk ratio 3.67; 95% confidence interval 1.18–11.43; p=0.025), history of stroke (risk ratio 9.07; 95% confidence interval 1.85–44.60; p=0.007), in patients with a heart rate >80 beats per minute [risk ratio 4.3; (95% confidence interval 1.51–12.26; p=0.006) and at pulse pressure ≥60 mm Hg (risk ratio 4.68; 95% confidence interval 1.60–13.72; p=0.005)].
Conclusion. The predictors that influenced the 5-year survival of patients after acute coronary syndrome and percutaneous coronary intervention were chronic kidney disease, diabetes mellitus, a history of stroke, high pulse pressure, and increased heart rate of more than 80 beats per minute.
acute coronary syndrome register / percutaneous coronary intervention / predictors of 5-year survival
| [1] |
Pedersen F, Butrymovich V, Kelbaek H, Wachtell K, Helqvis S, Kastrup J, Holmvang L, Clemmensen P, Engstrøm T, Grande P, Saunamäki K, Jørgensen E. Short- and long-term cause of death in patients treated with primary PCI for STEMI. J Am Coll Cardiol. 2014;64(20):2101–2108. DOI:10.1016/j.jacc.2014.08.037. |
| [2] |
Schiele F, Puymirat E, Jean Ferrières J, Simon T, Fox KA, Eikelboom J, Danchin N. FAST-MI investigators The FAST-MI 2005-2010-2015 registries in the light of the COMPASS trial: The COMPASS criteria applied to a post-MI population. Int J Cardiol. 2019;278:7–13. DOI: 10.1016/j.ijcard.2018.11.138. |
| [3] |
Malay LN, Davidovich IM. Khabarovsk Register of Acute Myocardial Infarction: analysis of long-term outcomes and adherence to long-term drug therapy. Dal'nevostochnyy meditsinskiy zhurnal. 2017;2:43–49. (In Russ.) |
| [4] |
Малай Л.Н., Давидович И.М. Хабаровский регистр острого инфаркта миокарда: анализ отдалённых исходов и приверженности к длительной медикаментозной терапии. Дальневосточный медицинский журнал. 2017;2:43–49. |
| [5] |
Kuzheleva EA, Fedyunina VA, Aleksandrenko VA, Kondrat'ev MYu, Aptekar' VD, Garganeeva AA. Prediction of adverse cardiovascular events in the post-infarction period, taking into account treatment compliance. Russkij medicinskij zhurnal. Meditsinskoe obozrenie. 2020;7:431–436. (In Russ.) DOI: 10.32364/2587-6821-2020-4-7-431-436. |
| [6] |
Кужелева Е.А., Федюнина В.А., Александренко В.А., Кондратьев М.Ю., Аптекарь В.Д., Гарганеева А.А. Прогнозирование неблагоприятных сердечно-сосудистых событий в постинфарктном периоде с учётом приверженности лечению. Русский медицинский журнал. Медицинское обозрение. 2020;7:431–436. DOI: 10.32364/2587-6821-2020-4-7-431-436. |
| [7] |
Szummer K, Lundman P, Jacobson SH, Schon S, Lindback J, Stenestrand U, Wallentin L, Jernberg T, SWEDEHEART. Relation between renal function, presentation, use of therapies and in-hospital complications in acute coronary syndrome: data from the SWEDEHEART register. J Intern Med. 2010;268(1):40–49. |
| [8] |
Kashirina IL, Firyulina MA, Gafanovich EYa. Analysis of the significance of predictors of survival after myocardial infarction using the Kaplan–Meyer method. Modelirovanie, optimizatsiya i informatsionnye tekhnologii. Nauchnyy zhurnal. 2019;7(1):7–20. (In Russ.) DOI: 10.26102/2310-6018/2019.24.1.007. |
| [9] |
Каширина И.Л., Фирюлина М.А., Гафанович Е.Я. Анализ значимости предикторов выживаемости после инфаркта миокарда с помощью метода Каплана–Мейера. Моделирование, оптимизация и информационные технологии. Научный журнал. 2019;7(1):7–20. DOI: 10.26102/2310-6018/2019.24.1.007. |
| [10] |
Shvets DA, Karasev AYu, Smolyakov MV, Povetkin SV, Vishnevskiy VI. Neural network analysis of predictors of lethal risk in patients after acute coronary syndrome. Russian Journal of Cardiology. 2020;25(3):3645. (In Russ.) DOI: 10.15829/1560-4071-2020-3-3645. |
| [11] |
Швец Д.А., Карасёв А.Ю., Смоляков М.В., Поветкин С.В., Вишневский В.И. Нейросетевой анализ предикторов летального риска у больных после перенесённого острого коронарного синдрома. Российский кардиологический журнал. 2020;25(3):3645. . DOI: 10.15829/1560-4071-2020-3-3645. |
| [12] |
He D, Zhang X, Chen S, Dai C, Wu Q, Zhou Y, Jin Z, Wu S, Zhu Y. Dynamic changes of metabolic syndrome alter the risks of cardiovascular diseases and all-cause mortality: Evidence from a prospective cohort study. Front Cardiovasc Med. 2021;8:706999. DOI: 10.3389/fcvm.2021.706999. |
| [13] |
Filipovský J. Arterial hypertension in the elderly. Vnitr Lek. 2018;64(11):987–992. |
| [14] |
Kobalava ZhD, Konradi AO, Nedogoda SV, Shlyakhto EV, Arutyunov GP, Baranova EI, Barbarash OL, Boytsov SA, Vavilova TV, Villeval'de SV, Galyavich AS, Glezer MG, Grineva EN, Grinshteyn YuI, Drapkina OM, Zhernakova YuV, Zvartau NE, Kislyak OA, Koziolova NA, Kosmacheva ED, Kotovskaya YuV, Libis RA, Lopatin YuM, Nebieridze DV, Nedoshivin AO, Ostroumova OD, Oshchepkova EV, Ratova LG, Skibitskiy VV, Tkacheva ON, Chazova IE, Chesnikova AI, Chumakova GA, Shal'nova SA, Shestakova MV, Yakushin SS, Yanishevskiy SN. Arterial hypertension in adults. Clinical Guidelines 2020. Russian Journal of Cardiology. 2020;25(3):3786. (In Russ.) DOI: 10.15829/1560-4071-2020-3-3786. |
| [15] |
Кобалава Ж.Д., Конради А.О., Недогода С.В., Шляхто Е.В., Арутюнов Г.П., Баранова Е.И., Барбараш О.Л., Бойцов С.А., Вавилова Т.В., Виллевальде С.В., Галявич А.С., Глезер М.Г., Гринева Е.Н., Гринштейн Ю.И., Драпкина О.М., Жернакова Ю.В., Звартау Н.Э., Кисляк О.А., Козиолова Н.А., Космачева Е.Д., Котовская Ю.В., Либис Р.А., Лопатин Ю.М., Небиеридзе Д.В., Недошивин А.О., Остроумова О.Д., Ощепкова Е.В., Ратова Л.Г., Скибицкий В.В., Ткачёва О.Н., Чазова И.Е., Чесникова А.И., Чумакова Г.А., Шальнова С.А., Шестакова М.В., Якушин С.С., Янишевский С.Н. Артериальная гипертензия у взрослых. Клинические рекомендации 2020. Российский кардиологический журнал. 2020;25(3):3786. DOI: 10.15829/1560-4071-2020-3-3786. |
| [16] |
Li Y, Wei FF, Thijs L, Boggia J, Asayama K, Hansen TW, Kikuya M, Björklund-Bodegård K, Ohkubo T, Jeppesen J, Gu YM, Torp-Pedersen C, Dolan E, Liu YP, Kuznetsova T, Stolarz-Skrzypek K, Tikhonoff V, Malyutina S, Casiglia E, Nikitin Y, Lind L, Sandoya E, Kawecka-Jaszcz K, Mena L, Maestre GE, Filipovský J, Imai Y, O'Brien E, Wang JG, Staessen JA. Ambulatory hypertension subtypes and 24-hour systolic and diastolic blood pressure as distinct outcome predictors in 8341 untreated people recruited from 12 populations. Circulation. 2014;130(6):466–474. |
| [17] |
Palatini P, Rosei EA, Casiglia E, Chalmers J, Ferrari R, Grassi G, Inoue T, Jelakovic B, Jensen MT, Julius S, Kjeldsen SE, Mancia G, Parati G, Pauletto P, Stella A, Zanchetti AJ. Management of the hypertensive patient with elevated heart rate: Statement of the Second Consensus Conference endorsed by the European Society of Hypertension. J Hypertens. 2016;34(5):813–821. DOI: 10.1097/HJH.0000000000000865. |
| [18] |
Aune D, Sen A, ó'Hartaigh B, Janszky I, Romundstad PR, Tonstad S, Vatten LJ. Resting heart rate and the risk of cardiovascular disease, total cancer, and all-cause mortality — A systematic review and dose-response meta-analysis of prospective studies. Nutr Metab Cardiovasc Dis. 2017;27(6):504–517. DOI: 10.1016/j.numecd.2017.04.004. |
| [19] |
Antoni ML, Boden H, Delgado V, Boersma E, Fox K, Schalij MJ, Bax JJ. Relationship between discharge heart rate and mortality in patients after acute myocardial infarction treated with primary percutaneous coronary intervention. Eur Heart J. 2012;33(1):96–102. DOI: 10.1093/eurheartj/ehr293. |
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