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Российский кардиологический журнал

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ИСПОЛЬЗОВАНИЕ ШКАЛ ПРОГНОЗА В КЛИНИЧЕСКОЙ МЕДИЦИНЕ

https://doi.org/10.15829/1560-4071-2016-12-23-27

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Аннотация

В статье обсуждается вопросы применения шкал прогноза заболеваний шкал. Рассмотрены преимущества и ограничения использования шкал в практике врача. Автором разработана программа КардиоЭксперт для мобильных устройств, которая включает набор наиболее востребованных шкал прогноза сердечно-сосудистых заболеваний и калькуляторов.

Об авторе

Ф. И. Белялов
Иркутская государственная медицинская академия последипломного образования
Россия
Доктор медицинских наук, профессор кафедры геронтологии и гериатрии


Список литературы

1. Pocock SJ, Ariti CA, McMurray JJV, et al. Predicting survival in heart failure: a risk score based on 39372 patients from 30 studies. Eur Heart J. 2013; 34(19): 1404-13.

2. Barbarash OL, Zykov MV, Pecherina TB, et al. The Prognostic Value of Peripheral Artery Diseases in Patients with ST-Segment Elevation Myocardial Infarction. Disease Markers. 2013; 35(6): 877-82.

3. Erlikh AD. The Possibility of selecting patients for primary invasive intervention in ACS with ST-segment elevation by means of the modified scale “RECORD”. Trudnyi patient. 2013; 7: 36-8. Russian (Эрлих А. Д. Возможность отбора пациентов для первичного инвазивного вмешательства при ОКС с подъемом сегмента ST при помощи модифицированной шкалы “РЕКОРД”. Трудный пациент. 2013; 7: 36-8).

4. Pryor DB, Shaw L, McCants CB, et al. Value of the history and physical in identifying patients at increased risk for coronary artery disease. Ann Intern Med. 1993; 118: 81-90.

5. Genders TSS, Steyerberg EW, Hunink MMG, et al. Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts. BMJ 2012; 344.

6. Nashef SAM, Roques F, Sharples LD, et al. EuroSCORE II. European Journal of CardioThoracic Surgery. 2012; 41(4): 734-45.

7. Lip GYH, Nieuwlaat R, Pisters R, et al. Refining Clinical Risk Stratification for Predicting Stroke and Thromboembolism in Atrial Fibrillation Using a Novel Risk Factor-Based Approach. Chest 2010; 137(2): 263-72.

8. Rockall TA, Logan RF, Devlin HB, Northfield TC. Risk assessment after acute upper gastrointestinal haemorrhage. Gut. 1996; 38(3): 316-21.

9. Conroy RM, Pyorala K, Fitzgerald AP, et al. Estimation of ten–year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J 2003; 24: 987-1003.

10. 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014; 129 (25 Suppl 2): S49-73.

11. Teramoto T, Sasaki J, Ishibashi S, et al. Executive summary of the Japan Atherosclerosis Society (JAS) guidelines for the diagnosis and prevention of atherosclerotic cardiovascular diseases in Japan –2012 version. J Atheroscler Thromb. 2013; 20(6): 517-23.

12. Chia YC, Lim HM, Ching SM. Validation of the pooled cohort risk score in an Asian population — a retrospective cohort study. BMC Cardiovasc Disord. 2014; 14: 163.

13. Peterson PN, Rumsfeld JS, Liang L, et al. A Validated Risk Score for In–Hospital Mortality in Patients With Heart Failure From the American Heart Association Get With the Guidelines Program. Circulation. 2010; 3(1): 25-32.

14. Chen L, Tonkin AM, Moon L, et al. Recalibration and validation of the SCORE risk chart in the Australian population: the AusSCORE chart. Eur J Cardiovasc Prev Rehabil. 2009; 16(5): 562-70.

15. Koliscak L, Maynor L. Pharmacologic prophylaxis against venous thromboembolism in hospitalized patients with cirrhosis and associated coagulopathies.Am J Health Syst Pharm. 2012; 69: 658-63.

16. Goldenberg I, Vyas AK, Hall WJ, et al. Risk stratification for primary implantation of a cardioverter-defibrillator in patients with ischemic left ventricular dysfunction. J Am Coll Cardiol. 2008; 51(3): 288-96.

17. Subherwal S, Bach RG, Chen AY, et al. Baseline Risk of Major Bleeding in Non–ST– Segment–Elevation Myocardial Infarction: The CRUSADE Bleeding Score. Circulation 2009; 119(14): 1873-82.

18. Pisters R, Lane DA, Nieuwlaat R, et al. A novel user–friendly score (HAS-BLED) to assess one-year risk of major bleeding in atrial fibrillation patients: The Euro Heart Survey. Chest. 2010; 138(5): 1093-100.

19. Loke YK, Kwok CS, Niruban A, Myint PK. Value of severity scales in predicting mortality from community–acquired pneumonia: systematic review and meta–analysis. Thorax. 2010; 65(10): 884-90.

20. Patrat-Delon S, Rouxel A, Gacouin A, et al. EuroSCORE II underestimates mortality after cardiac surgery for infective endocarditis. Eur J Cardiothorac Surg. 2016; 49(3): 944-51.

21. Martínez-Sellés M, Muñoz P, Arnáiz A, et al. Valve surgery in active infective endocarditis: A simple score to predict in-hospital prognosis. Int J Card. 2014; 175(1): 133-137.

22. Ren Y, Yang H, Browning C, et al. Performance of Screening Tools in Detecting Major Depressive Disorder among Patients with Coronary Heart Disease: A Systematic Review. Med Sci Monit. 2015; 21: 646-53.

23. Liew SM, Doust J, Glasziou P. Cardiovascular risk scores do not account for the effect of treatment: a review. Heart. 2011; 97(9): 689-97.

24. Pijuan-Domènech A, Galian L, Goya M, et al. Cardiac complications during pregnancy are better predicted with the modified WHO risk score. Int J Card. 2015; 195: 149-54.

25. Flores-Ríos X, Couto-Mallón D, Rodríguez-Garrido J, et al. Comparison of the performance of the CRUSADE, ACUITY–HORIZONS, and ACTION bleeding risk scores in STEMI undergoing primary PCI. Eur Heart J Acute Cardiovasc Care. 2013; 2(1): 19-26.

26. Ariza-Solé A, Sánchez-Elvira G, Sánchez-Salado JC, et al. CRUSADE bleeding risk score validation for ST–segment–elevation myocardial infarction undergoing primary percutaneous coronary intervention. Thromb Res. 2013; 132(6): 652-8.

27. Paoletti Perini A, Bartolini S, Pieragnoli P, et al. CHADS2 and CHA2 DS2 –VASc scores to predict morbidity and mortality in heart failure patients candidates to cardiac resynchronization therapy. Europace. 2014; 16(1): 71-80. 2

28. Fang WF, Yang KY, Wu CL, et al. Application comparison of scoring indices to predict outcomes in patients with healthcare associated pneumonia. Crit Care. 2011; 15(1): R32.

29. Fox KAA, 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 Open. 2014; 4(2).

30. Lee H, Shon YJ, Kim H, et al. Validation of the APACHE IV model and its comparison with the APACHE II, SAPS 3, and Korean SAPS 3 models for the prediction of hospital mortality in a Korean surgical intensive care unit. Korean J Anesth. 2014; 67: 115-22.

31. Ilker I, Mehmet K, Mehmet A, et al. Study of effectiveness of the SAPS II-III, APACHE II-IV AND MPM II scores in the determination of prognosis of the patients in reanimation intensive care unit. Acta Medica Mediterranea. 2015; 31: 127.

32. Mortensen MB, Afzal S, Nordestgaard BG, Falk E. The high-density lipoprotein-adjusted SCORE model worsens SCORE–based risk classification in a contemporary population of 30 824 Europeans. European Heart Journal 2015; 36: 2446-2453.

33. Lip GH, Skjøth F, Rasmussen L, Larsen T. Oral Anticoagulation, Aspirin, or No Therapy in Patients With Nonvalvular AF With 0 or 1 Stroke Risk Factor Based on the CHA2 DS2 -VASc Score. J Am Coll Cardiol. 2015; 65(14): 1385-94.

34. O’Mahony C, Tome-Esteban M, Lambiase PD, et al. A validation study of the 2003 ACC/ESC and 2011 ACCF/AHA risk stratification and treatment algorithms for sudden cardiac death in patients with hypertrophic cardiomyopathy. Heart. 2013; 99(8): 534-41.

35. Steinberg BA, Kim S, Thomas L, et al. Lack of Concordance Between Empirical Scores and Physician Assessments of Stroke and Bleeding Risk in Atrial Fibrillation: Results From the ORBIT–AF Registry. Circulation. 2014; 129: 2005-12.

36. Farooq V, et al. Incidence and multivariable correlates of long-term mortality in patients treated with surgical or percutaneous revascularization in the synergy between PCI with taxus and cardiac surgery (SYNTAX) trial. Eur Heart J. 2012; 33(24): 3105.

37. Winkle RA, Jarman JW, Mead RH, et al. Predicting atrial fibrillation ablation outcome: The CAAP-AF score. Heart Rhythm. 2016 Jul 17. pii: S1547-5271(16)30548-3.

38. Yeh RW, Secemsky EA, Kereiakes DJ, et al. Development and Validation of a Prediction Rule for Benefit and Harm of Dual Antiplatelet Therapy Beyond 1 Year After Percutaneous Coronary Intervention. JAMA. 2016; 315(16): 1735-49.


Для цитирования:


Белялов Ф.И. ИСПОЛЬЗОВАНИЕ ШКАЛ ПРОГНОЗА В КЛИНИЧЕСКОЙ МЕДИЦИНЕ. Российский кардиологический журнал. 2016;(12):23-27. https://doi.org/10.15829/1560-4071-2016-12-23-27

For citation:


Belyalov F.I. APPLICATION OF PREDICTION SCORES IN CLINICAL MEDICINE. Russian Journal of Cardiology. 2016;(12):23-27. (In Russ.) https://doi.org/10.15829/1560-4071-2016-12-23-27

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