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Mathematical models in cardiology: From formulas to real clinical practice

https://doi.org/10.29001/2073-8552-2020-35-4-39-48

Abstract

Aim. To develop and implement into clinical practice six calculators of risk for various cardiovascular diseases in the form of mobile application for iOS/Android and module for the 1C: Medicine software.

Material and Methods. At the premises of Tyumen Cardiology Research Center (TCRC) of Tomsk NRMC, we developed the mobile application for iOS/Android and module for the 1C: Medicine software based on six mathematical models that were invented and patented in our center earlier.

Results and Discussion. The use of mobile application improved the convenience of working with the mathematical formulas and reduces the time for obtaining results of calculations. Implementation of 1C as a programming environment allowed to perform automatic filling out the calculator fields with medical data from individual patients, which significantly simplified and accelerated the rate of work with mathematical models.

Conclusion. The developed mobile application and external processing for 1C allowed to implement research products of TCRC in the form of mathematical formulas into real-life clinical practice. These developments contributed to speeding up the process for acquisition of results and partial automatization of filling out the form fields.

About the Authors

V. A. Kuznetsov
Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Sciences
Russian Federation

Vadim A. Kuznetsov, Dr. Sci. (Med.), Professor, Honored Scientist of the Russian Federation, Scientific Supervisor

111, Melnikaite str., Tyumen, 625026



L. I. Gapon
Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Sciences
Russian Federation

Lyudmila I. Gapon, Dr. Sci. (Med.), Professor, Honored Scientist of the Russian Federation, Head of Scientific Department of Clinical Cardiology

111, Melnikaite str., Tyumen, 625026



L. M. Malishevskii
Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Sciences
Russian Federation

Lev M. Malishevskii, Research Assistant, Laboratory of Instrumental Diagnostics, Scientific Division of Instrumental Research Methods

111, Melnikaite str., Tyumen, 625026



D. S. Lobuntsov
Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Sciences
Russian Federation

Daniel S. Lobuntsov, Research Assistant, Laboratory of Instrumental Diagnostics, Scientific Division of Instrumental Research Methods

111, Melnikaite str., Tyumen, 625026



E. A. Dziabenko
Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Sciences
Russian Federation

Egor A. Dziabenko, Programmer, Department of Automated Control Systems

111, Melnikaite str., Tyumen, 625026



A. M. Soldatova
Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Sciences
Russian Federation

Anna M. Soldatova, Cand. Sci. (Med.), Research Scientist, Laboratory of Instrumental Diagnostics, Scientific Division of Instrumental Research Methods

111, Melnikaite str., Tyumen, 625026



G. S. Pushkarev
Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Sciences
Russian Federation

Georgiy S. Pushkarev, Cand. Sci. (Med.), Research Scientist, Laboratory of Instrumental Diagnostics, Scientific Division of Instrumental Research Methods

111, Melnikaite str., Tyumen, 625026



V. V. Todosiychuk
Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Sciences
Russian Federation

Viktor V. Todosiychuk, Dr. Sci. (Med.), Head of the Functional Diagnostics Department, Senior Research Scientist, Laboratory of Instrumental Diagnostics

111, Melnikaite str., Tyumen, 625026



E. I. Yaroslavskaya
Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Sciences
Russian Federation

Elena I. Yaroslavskaya, Dr. Sci. (Med.), Ultrasound Specialist, Department of Ultrasound Diagnostics; Senior Research Scientist, Laboratory of Instrumental Diagnostics, Scientific Division of Instrumental Research Methods

111, Melnikaite str., Tyumen, 625026



References

1. Ralston J., Reddy K.S., Fuster V., Narula J. Cardiovascular diseases on the global agenda: The United Nations high level meeting, Sustainable Development Goals, and the way forward. Glob. Heart. 2016;11(4):375–379. DOI: 10.1016/j.gheart.2016.10.029.

2. Shlyakhto E.V., Zvartau N.E., Villevalde S.V., Yakovlev A.N., Soloveva A.E., Alieva A.S. et al. Cardiovascular risk management system: Prerequisites for developing, organization principles, target groups. Russian Journal of Cardiology. 2019;(11):69–82 (In Russ.). DOI: 10.15829/1560-4071-2019-11-69-82.

3. Califf R.M. Future of personalized cardiovascular medicine. J. Am. Coll. Cardiol. 2018;72(25):3301–3309. DOI: 10.1016/j.jacc.2018.09.079.

4. Antman E.M., Loscalzo J. Precision medicine in cardiology. Nat. Rev. Cardiol. 2016;13(10):591–602. DOI: 10.1038/nrcardio.2016.101.

5. Niederer S.A., Lumens J., Trayanova N.A. Computational models in cardiology. Nat. Rev. Cardiol. 2019;16(2):100–111. DOI: 10.1038/s41569-018-0104-y.

6. Bonner C., Fajardo M.A., Psych (Hons) B., Hui S., Stubbs R., Trevena L. Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review. J. Med. Internet Res. 2018;20(2):e29. DOI: 10.2196/jmir.8538.

7. Shabaan M., Arshid K., Yaqub M., Jinchao F., Zia M.S., Boja G.R. et al. Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis. BMC Med. Inform. Decis. Mak. 2020;20(1):177. DOI: 10.1186/s12911-020-01199-7.

8. Trayanova N. From genetics to smart watches: Developments in precision cardiology. Nat. Rev. Cardiol. 2019;16(2):72–73. DOI: 10.1038/s41569-018-0149-y.

9. Vetoshkin A.S., Shurkevich N.P., Gapon L.I., Gubin D.G., Dyachkov S.M., Poshinov F.A. et al. Patent RU No. 2623455 С1. Prediction of arterial hypertension in men of working age in the Arctic Shift. Publ. 26.06.2017 (In Russ.).

10. Kuznetsov V.A., Soldatova A.M., Krinochkin D.V., Enina T.N., Petelina T.I., Rychkov A.Yu. et al. Patent RU No. 2623487 С1. Method for predictation of super response to cardiac resynchronization therapy for patients with chronic heart failure. Publ. 26.06.2016 (In Russ.).

11. Trubacheva I.A., Pushkarev G.S., Akimova E.V., Kuznetsov V.A., Soldatova A.M., Akimov A.M. Patent RU No. 2649829 С1. Method for determining the 10-year absolute total risk of death from cardiovascular diseases in men of working age. Publ. 04.04.2018 (In Russ.).

12. Lykasova E.A., Todosiychuk V.V., Kuznetsov V.A., Dyachkov S.M. Patent RU No. 2650039 С1. Method for prediction of risk of ventricular tachycardia paroxysms development in patients in first day of myocardial infarction. Publ. 06.04.2018 (In Russ.).

13. Kuznetsov V.A., Todosiychuk V.V., Kutrunov V.N., Dyachkov S.M. Patent RU No. 103857 A. Method for prediction of high grade ventricular arrhythmias in patients undergoing coronary angiography. Publ. 08.08.2018 (In Russ.).

14. Kuznetsov V.A., Yaroslavskaya E.I., Gorbatenko E.A. Patent RU No. 2690405 С1. Method for diagnosing non-obstructive coronary atherosclerosis in men with suspected coronary heart diseases. Publ. 03.06.2019 (In Russ.).

15. Soldatova A.M., Kuznetsov V.A., Krinochkin D.V., Enina T.N., Shirokov N.E. Prediction of superresponse to cardiac resynchronisation therapy in patients with congestive heart failure. Medical Visualization. 2018;(3):49–59 (In Russ.). DOI: 1607-0763-2018-3-49-59.

16. Yaroslavskaya E.I., Kuznetsov V.A., Gorbatenko E.A. Diagnosis of non-obstructive coronary aterosclerosis in men with suspected coronary artery disease. Ateroscleroz. 2018;14(4):56–66 (In Russ.). DOI: 10.15372/ATER20180406.

17. Pushkarev G.S., Kuznetsov V.A., Akimova E.V. Total 10-year risk of death from cardiovascular disease in 25–64 year-old men in Tyumen. The Russian Journal of Preventive Medicine and Public Health. 2020;23(1):81–88 (In Russ.). DOI: 10.17116/profmed20202301177.

18. Ventola C.L. Mobile devices and apps for health care professionals: Uses and benefits. P & T. 2014;39(5):356–364.


Review

For citations:


Kuznetsov V.A., Gapon L.I., Malishevskii L.M., Lobuntsov D.S., Dziabenko E.A., Soldatova A.M., Pushkarev G.S., Todosiychuk V.V., Yaroslavskaya E.I. Mathematical models in cardiology: From formulas to real clinical practice. Siberian Journal of Clinical and Experimental Medicine. 2020;35(4):39-48. (In Russ.) https://doi.org/10.29001/2073-8552-2020-35-4-39-48

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ISSN 2713-2927 (Print)
ISSN 2713-265X (Online)