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IMPLEMENTATION OF THE GRACE SCORE IN ACUTE CORONARY SYNDROME WITH RENAL DYSFUNCTION

https://doi.org/10.15829/1560-4071-2017-11-36-42

Abstract

Aim. To investigate on the most significant predictors of cardiovascular risk in acute coronary (ACS) and kidney dysfunction (KD) patients, underwent percutaneous coronary intervention (PCI).

Material and methods. Totally, 206 patients included into the study. As the criteria of KD glomerular filtration rate below 60 mL/min/1,73 m2  was taken, by CKD-EPI (2011) based on the blood creatinine concentration at hospitalization. In-hospital mortality was 13,1% (n=27). All-cause annual mortality was 15,5% (n=32), 3-year mortality — 21,8% (n=45).

Results. Monofactorial analysis showed that the most significant factors of inhospital and long-term mortality in ACS and KD patients after PCI were congestive heart failure, stroke, myocardial infarction anamnesis, acute heart failure (AHF), hyperglycemia, prominent systolic dysfunction of myocardium, tachicardia and hypotension at admittance, multivessel disease, as acute kidney injury (AKI) developed during hospitalization (criteria RIFLE and AKIN). Step-by-step selection in Cox regression showed that the factors of in-hospital mortality were anamnesis of stroke, AHF at admittance, AKI development during hospitalization. C-statistics of the developed model was 0,82, that is seriously more significant than that of GRACE 2,0-0,74 score. In the analysis of long-term survival by Cox, it was revealed that stroke and myocardial infarction anamnesis, as AHF at admittance and AKI regardless of other factors, are related to the increase of fatal outcomes rate during one and three years of observation. Also, the area under ROC of the invented risk models was 0,84 and 0,76, respectively, for 1 and 3 years. In GRACE 2,0 such parameter was more significantly lower — 0,78 and 0,69, respectively.

Conclusion. The results witness on the significance of additional risk factors introduction into risk assessment in patients with ACS and baseline KD, and the developed novel models were better than GRACE.

About the Authors

M. V. Zykov
Research Institute for Complex Issues of Cardiovascular Diseases
Russian Federation
Kemerovo
Competing Interests: Конфликт интересов не заявляется


V. V. Kashtalap
Research Institute for Complex Issues of Cardiovascular Diseases; Kemerovo State Medical University of the Ministry of Health
Russian Federation

Competing Interests: Конфликт интересов не заявляется


I. S. Bykova
Research Institute for Complex Issues of Cardiovascular Diseases
Russian Federation
Kemerovo
Competing Interests: Конфликт интересов не заявляется


O. V. Gruzdeva
Research Institute for Complex Issues of Cardiovascular Diseases
Russian Federation
Kemerovo
Competing Interests: Конфликт интересов не заявляется


V. N. Karetnikova
Research Institute for Complex Issues of Cardiovascular Diseases; Kemerovo State Medical University of the Ministry of Health

Competing Interests: Конфликт интересов не заявляется


О. L. Barbarash
http://kemcardio.ru/
Research Institute for Complex Issues of Cardiovascular Diseases; Kemerovo State Medical University of the Ministry of Health

Competing Interests: Конфликт интересов не заявляется


References

1. Strel’chenko OV, Chernyshev VM, Mingazov IF. Key indicators of the Siberian Federal District public health and health care in 2014. The collection of statistical and analytical materials. Release 14. Novosibirsk: Sibirskoe universitetskoe izdatel’stvo, 2015. p. 270. (InRuss.) Стрельченко О.В., Чернышев В.М., Мингазов И.Ф. Основные показатели здоровья населения и здравоохранения Сибирского федерального округа в 2014 году. Сборник статистических и аналитических материалов. Выпуск 14. Новосибирск: Сибирское университетское издательство, 2015. с. 270.

2. Bawamia B, Mehran R, Qiu W, et al. Risk scores in acute coronary syndrome and percutaneous coronary intervention: a review. American Heart Journal 2013; 165 (4): 441-50.

3. Zykov MV, Barbarash OL, Zykova DS, et al. Comparative characteristics of scales predicting hospital mortality in patients with myocardial infarction. Russian Journal of cardiology 2012; 1: 11-6. (In Russ.) Зыков М.В., Барбараш О.Л., Зыкова Д.С. и др. Сравнительная характеристика шкал прогнозирования госпитальной летальности у больных инфарктом миокарда. Российский кардиологический журнал 2012; 1: 11-6.

4. Roffi M, Patrono C, Collet JP, et al. 204. Roffi M, Patrono C, Collet JP, et al. 2015 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation. European Heart Journal 2016; 37: 267-315.

5. Eagle KA, Lim MJ, Dabbous OH, et al. A validated prediction model for all forms of acute coronary syndrome: estimating the risk of 6-month postdischarge death in an international registry. JAMA 2004; 291 (22): 2727-33.

6. Kellum JA, Aspelin P, Barsoum RS, et al. KDIGO Clinical Practice Guideline for Acute Kidney Injury. Kidney International Supplements 2012; 2 (1): 1-138.

7. Fox KA, FitzGerald G, Puymirat E, et al. Should patients with acute coronary disease be stratified for management according to their risk? Derivation, external validation and outcomes using the updated GRACE risk score. BMJ 2014; 4 (2): e004425.

8. Fox КА, Dabbous ОН, Goldberg RJ, et al. Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome: prospective multinational observational study (GRACE). BMJ 2006; 333 (7578): 1091-4.

9. Palmerini T, Genereux P, Caixeta A, et al. A new score for risk stratification of patients with acute coronary syndromes undergoing percutaneous coronary intervention: the ACUITY-PCI (Acute Catheterization and Urgent Intervention Triage Strategy-Percutaneous Coronary Intervention) risk score. JACC Cardiovasc Imaging 2012; 5 (11): 1108-16.

10. Lev EI, Kornowski R, Vaknin-Assa H, et al. Comparison of the predictive value of four different risk scores for outcomes of patients with ST-elevation acute myocardial infarction undergoing primary percutaneous coronary intervention. American Journal of Cardiology 2008; 102 (1): 6-11.

11. Abu-Assi E, Ferreira-Gonzalez I, Ribera A, et al. Do GRACE (Global Registry of Acute Coronary Events) risk scores still maintain their performance for predicting mortality in the era of contemporary management of acute coronary syndromes? American Heart Journal 2010; 160 (5): 826-34.

12. Shiraishi J, Kohno Y, Nakamura T, et al. Prognostic impact of chronic kidney disease and anemia at admission on in-hospital outcomes after primary percutaneous coronary intervention for acute myocardial infarction. International Heart Journal 2014; 55: 301-6.

13. Van der Meer IM, del Sol AI, Hak AE, et al. Risk factors for progression of atherosclerosis measured at multiple sites in the arterial tree: The Rotterdam Study. Stroke 2003; 34: 2374-9.

14. Morikami Y, Natsuaki M, Morimoto T, et al. Impact of polyvascular disease on clinical outcomes in patients undergoing coronary revascularization: an observation from the CREDO-Kyoto Registry Cohort-2. Atherosclerosis 2013; 228 (2): 426-31.

15. Barbarash OL, Zykov MV, Bykova IS, et al. Role of Renal Dysfunction and Multifocal Atherosclerosis in Assessment of Prognosis of Patients Presenting With ST-Elevation Acute Coronary Syndrome. Kardiologija 2013; 53 (9): 26-32. (In Russ.) Барбараш О.Л., Зыков М.В., Быкова И.С. и др. Роль дисфункции почек и мультифокального атеросклероза в оценке прогноза у больных инфарктом миокарда с подъемом сегмента ST. Кардиология 2013; 53 (9): 26-32.

16. KalaevaVV, KaretnikovaVN, ZykovMV, etal. Risk factors of contrast-induced nephropathy in patients with myocardial infarction. Klinicheskaja medicina 2014; 92 (9): 39-45. (In Russ.) Калаева В.В., Каретникова В.Н., Зыков М.В. и др. Факторы риска контрастиндуцированной нефропатии у больных инфарктом миокарда. Клиническая медицина 2014; 92 (9): 39-45.


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2. титульный лист
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3. Рисунок 1 – ROC-кривые собственной модели и шкалы GRACE при оценке госпитальной летальности после ЧКВ у больных ОКС и СКФ <60 мл/мин/1,73 м2
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4. Рисунок 2 – Частота (%) госпитальной летальности у больных с различной суммой баллов в собственной модели риска у больных ОКС и СКФ< 60 мл/мин/1,73 м2 после ЧКВ (χ2 Пирсона составил 68,38, р< 0,00001)
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5. Рисунок 3 – ROC-кривые собственной модели и шкал GRACE при оценке риска годовой смертности после ЧКВ у больных ОКС и СКФ< 60 мл/мин/1,73 м2
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6. Рисунок 4 – ROC-кривые собственной модели и шкал GRACE при оценке риска трёхлетней смертности после ЧКВ у больных ОКС и СКФ <60 мл/мин/1,73 м2
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7. Рисунок 5 – Летальность (%) при различной сумме баллов в собственной модели риска в течение года и трех лет после ЧКВ, выполненной по поводу ОКС у больных с исходной СКФ <60 мл/мин/1,73 м2
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Review

For citations:


Zykov M.V., Kashtalap V.V., Bykova I.S., Gruzdeva O.V., Karetnikova V.N., Barbarash О.L. IMPLEMENTATION OF THE GRACE SCORE IN ACUTE CORONARY SYNDROME WITH RENAL DYSFUNCTION. Russian Journal of Cardiology. 2017;(11):36-42. (In Russ.) https://doi.org/10.15829/1560-4071-2017-11-36-42

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ISSN 1560-4071 (Print)
ISSN 2618-7620 (Online)