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ADAPTATION OF ELECTRONIC SYSTEM FOR ISCHEMIC HEART DISEASE PREDICTION AS A STEP TO COMMON INFORMATION SPACE IN CARDIOLOGIC HEALTHCARE

https://doi.org/10.38109/2225-1685-2018-1-28-35

Abstract

Electronic version of a patient’s individual card protocol forming “Analytic system for monitoring and predicting various clinical variants of ischemic heart disease (CHD DM2)” database № BGU 00314 is combined with the computer system № DGU 01035 to assess yearly risk of adverse events by diagnostic coefficients; up-to-date prognostic signs, such as pre-test probability, Duke treadmill score and ventricular ejection fraction participating in the formation of prognostic conclusion were added. The database is a complex of program products intended for automation of dynamic management processes for both inpatients and outpatients with various clinical IHD forms and concurrent type 2 diabetes mellitus based on assessment of the disease course dynamics, completeness of prescriptions and patient’s compliance. The proposed model is of high clinical practical significance since it can be transformed into electronic medical history or used as a database in chronic IHD registry to improve medical care quality.

About the Authors

R. K. Trigulova
Republican Specialized Center of Cardiology
Uzbekistan

Doctor of Medical Sciences, Senior Researcher, Department of Coronary Heart Disease

Tashkent, Republic of Uzbekistan, Mirzo-Ulugbek district, Osiyo-4 street, 100052

phone 998 712373276.



N. F. Tashkenbayeva
Republican Specialized Center of Cardiology
Uzbekistan

Candidate of Medical Science, Junior Researcher

Tashkent, Republic of Uzbekistan, Mirzo-Ulugbek district, Osiyo-4 street, 100052

phone +998 712373276



N. A. Azimova
Republican Specialized Center of Cardiology
Uzbekistan

Candidate of Medical Science, Junior Researcher,

Tashkent, Republic of Uzbekistan, Mirzo-Ulugbek district, Osiyo-4 street, 100052

phone +998 712373276



D. D. Akhmedov
Scientific and Innovation Center of Information and Communication Technologies
Uzbekistan

Junior researcher

Tashkent, Republic of Uzbekistan, Mirzo-Ulugbek district, Polenov street, house 4, apartment 13, 100052

phone 998 712376234



R. K. Bazarov
Scientific and Innovation Center of Information and Communication Technologies
Uzbekistan

Junior researcher,

Tashkent, Republic of Uzbekistan, Mirzo-Ulugbek district, street Kichik Halka Yuli, house 2, 100084

phone +998 712376166



A. B. Shek
Republican Specialized Center of Cardiology
Uzbekistan

Doctor of Medical Sciences, Deputy Director for Science, Head of the Laboratory of Coronary Heart Disease

Tashkent, Republic of Uzbekistan, MirzoUlugbek district, Osiyo-4 street, 100052

phone +998 712373367



References

1. Granger C.B., Goldberg R.J., Dabbous O. et al. Predictors of hospital mortality in the global registry of acute coronary events. Arch Intern Med. 2008; 163:2345-2353.

2. Chambless L. Several methods to assess improvement in risk prediction models: Extension to survival analysis. Statistics in Medicinе. 2011; 30(1):22-38.

3. Eagle K.A., Lim M.J., Dabbous O.H. et al. Validated Prediction Model for all Forms of Acute Coronary Syndrome Estimating the Risk of 6-Month Postdischarge Death in an International Registry JAMA. 2004; 291:2727-2733.

4. Boden W, O’Rourke R., Teo K. et al. Optimal medical therapy with or without PCI for stable coronary disease. NEngJMed 2007; 356:1503-1516.

5. Daly C., De Stavola B., Sendon J. et al. Predicting prognosis instable angina: results from the Euro heart survey of stable angina: prospective observational study. BMJ 2006; 332:262267.

6. Gilles Montalescot, Udo Sechtem, Stephan Achenbach et al. The Task Force on the management of stable coronary artery disease of the European Society of Cardiology. European Heart Journal, 2013; 34:2949-3003 doi:10.1093/eurheartj/eht296. -1 31

7. Mark DB, Hlatky MA, Harrell FE Jr., Lee KL, Califf RM, Pryor DB. Exercise treadmill score for predicting prognosis in coronary artery disease. Ann Intern Med 1987; 106:793-800.

8. Fihn et al. ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease. JACCDecember 18, 2012; 60; 24: 44-164.

9. Heijenbrok-Kal MH, Fleischmann KE, Hunink MG. Stress echocardiography, stress single-photon-emission computed tomography and electron beam computed tomography for the assessment of coronary artery disease: a meta-analysis of diagnostic performance. Am Heart J 2007;154:415-423.


Review

For citations:


Trigulova R.K., Tashkenbayeva N.F., Azimova N.A., Akhmedov D.D., Bazarov R.K., Shek A.B. ADAPTATION OF ELECTRONIC SYSTEM FOR ISCHEMIC HEART DISEASE PREDICTION AS A STEP TO COMMON INFORMATION SPACE IN CARDIOLOGIC HEALTHCARE. Eurasian heart journal. 2018;(1):28-35. https://doi.org/10.38109/2225-1685-2018-1-28-35

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ISSN 2225-1685 (Print)
ISSN 2305-0748 (Online)