logo
calendar8 Sentabr 2026
view10
Main language:Russian

Digital cardiology: approaches to the assessment and reduction of cardiovascular disease risk in patients with type 2 diabetes

Field of Science:Artificial IntelligenceComputational Theory and MathematicsComputer Graphics and Computer-Aided DesignComputer Networks and CommunicationsComputer Science (miscellaneous)Information SystemsSignal ProcessingSoftware
National field of science (HAC):05.01.01 — Engineering geometry and computer graphics. Audio and video technologies05.01.02 — Systems analysis, control and information processing05.01.03 — Theoretical foundations of informatics05.01.04 — Mathematical and software support of computers, complexes and computer networks05.01.05 — Information protection methods and systems. Information security05.02.03 — Technological machines. Robots, mechatronics and robotic systems05.01.08 — Automation and control of technological processes and productions05.01.09 — Document studies. Archival science. Library science05.01.10 — Information retrieval systems and processes05.01.11 — Digital technologies and artificial intelligence05.04.01 — Telecommunication and computer systems, telecommunication networks and devices. Information distribution05.04.02 — Radio engineering, radionavigation, radiolocation and television systems and devices. Mobile and fiber-optic communication systems08.00.14 — Information systems and technologies in economics08.00.16 — Digital economy and international digital integration11.00.07 — Geoinformatics21.01.09 — Military command and communication systems21.02.12 — Military cybernetics, systems analysis, operations research, modeling of combat operations and military systems (including Armed Forces branches, arms of service and special units)05.01.06 — Elements and devices of computer engineering and control systems05.01.07 — Mathematical modeling. Numerical methods and software packages10.00.11 — Language theory. Applied and computational linguistics13.00.06 — Theory and methods of e-learning (by education fields and levels)21.02.13 — Informatics and computer technologies in military affairs
pdf

2._Адылова_Ф.Т.__Даврон....pdf

PDF

Scientific electronic journal "Digital Economy"

Scientific electronic journal "Digital Economy"

Publish Articlesee more

ARTICLE ANNOTATION

quote
Risk and prognosis calculators are digital medical tools that use statistics and algorithms to estimate the likelihood of developing diseases or their complications. Instead of general recommendations, physicians receive patient-specific data, allowing them to select medication dosages or decide whether to initiate intensive therapy immediately. These calculators identify high-risk individuals even before symptoms appear, providing the opportunity to make lifestyle changes or initiate preventative medications. These calculators minimize the subjectivity of physician intuition by relying on mathematical models and the experience of thousands of other patients with similar indicators. The aim of this paper is to analyze widely used digital calculators for assessing cardiovascular disease risk in patients with type 2 diabetes. Their advantages and disadvantages, features, and effectiveness are highlighted. Particular emphasis is placed on the latest generation of such calculators, in particular the BRAVO model, which is multifunctional (in terms of outcome analysis) and is built at the patient level rather than the cohort level.

AUTHORS

Ф.Адылова

O`ZBEKISTON RESPUBLIKASI FANLAR AKADEMIYASI V.I.ROMANOVSKIY NOMIDAGI MATEMATIKA INSTITUTI

Р.Давронов

O`ZBEKISTON RESPUBLIKASI FANLAR AKADEMIYASI V.I.ROMANOVSKIY NOMIDAGI MATEMATIKA INSTITUTI

А.Абдукаримов

MIRZO ULUG'BEK NOMIDAGI O'ZBEKISTON MILLIY UNIVERSITETINING JIZZAX FILIALI

Tags

# risk# diabetes mellitus# heart disease# vascular risk scale# Framingham risk assessment scale# ACC/AHA calculator# ADVANCE risk scales# PROCAM# UKPDS# SCORE2-diabetes# BRAVO

SIMILAR ARTICLES

OTHER ARTICLES IN THIS JOURNAL

Rate Article

0
0 ratings
5
4
3
2
1

Article Identifiers

ROI:

https://eroi.uz/11.142/A026-790303

DOI:

Not Available

References

О.Д. Рымар, Ю.А. Долинская Инструменты оценки сердечно-сосудистого риска у больных сахарным диабетом 2-го типа The Russian Journal of Preventive Medicine 2023, Т. 26, №11, с. 109-115 2023, vol. 26, no 11, pp. 109-115, https://doi.org/10.17116/profmed202326111109

Dedov II, Shestakova MV, Galstyan GR. The prevalence of type 2 diabetes mellitus in the adult population of Russia (NATION study). Saharnyj diabet.2016;19(2):104-112. (In Russ.), https://doi.org/10.14341/DM2004116-17

Mustafina SV, Rymar OD, Shcherbakova LV, et al. The Risk of Type 2 Diabetes Mellitus in a Russian Population Cohort According to Data from the HAPIEE Project. Journal of Personalized Medicine. 2021;11:119. https://doi.org/10.3390/jpm11020119

Stevens RJ, Kothari V, Adler AI, Stratton IM; United Kingdom Prospective Diabetes Study (UKPDS) Group. The UKPDS risk engine: a model for the risk of coronary heart disease in Type II diabetes (UKPDS 56) [published correction appears in Clinical Science. 2002;102(6):679]. Clinical Science.2001;101(6):671-679.

Goff DC Jr, Lloyd-Jones DM, Bennett G, et al; American College of Cardiology/American Heart Association Task Force on Practice Guidelinesl. 2013ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines [published correction appears in Circulation. 2014;129(25 Suppl 2):74-75]. Circulation. 2014;1. https://doi.org/10.1161/01.cir.0000437741.48606.98

CUORE risk score https://www.cuore.iss.it/

Donfrancesco C, Palmieri L, Cooney MT, et al. Italian cardiovascular mortality charts of the CUORE project: are they comparable with the SCORE charts? European Journal of Cardiovascular Prevention and Rehabilitation.2010;17(4):403-409. https://doi.org/10.1097/HJR.0b013e328334ea70

ADVANCE risk score https://www.U-Prevent.com

Cosentino F, Grant PJ, Aboyans V, et al; ESC Scientific Document Group.2019 ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. European Heart Journal.

Адылова Ф.Т. Тригулова Р.Х. Модели машинного обучения в прогнозе сердечно-сосудистых заболеваний на бенчмарке мультиэтнических данных 2025, Кардиология в Беларуси,т.17,№3,с.438-450. International Scientific Journal CARDIOLOGY IN BELARUS. https://doi.org/10.34883/PI.2025.17.3.010

Gaede P, Lund-Andersen H, Parving HH,Pedersen O. Effect of a multifactorial intervention on mortality in type 2 diabetes. N Engl J Med 2008;358:580–591

Gaede P, Vedel P, Larsen N, Jensen GV,Parving HH, Pedersen O. Multifactorial interventionand cardiovascular disease in patients with type 2 diabetes. N Engl J Med 2003;348:383–393

Shao H, Fonseca V, Stoecker C, Liu S, Shi L. Novel risk engine for diabetes progression and mortality in USA: building, relating, assessing, and validating outcomes (BRAVO). Pharmacoeconomics. 2018;36: 1125–34.

Shao H, Shi L, Fonseca VA. Using the BRAVO risk engine to predict cardiovascular outcomes in clinical trials with sodium-glucose transporter 2 inhibitors. Diabetes Care. 2020;43(7):1530–6. https://doi.org/10.2337/dc20-0227

Shao H, Yang S, Stoecker C, Fonseca V, Hong D, Shi L. Addressing regional differences in diabetes progression: global calibration for diabetes simulation model. Value Health. 2019;22(12):1402–1409. https://doi.org/10.1016/j.jval.2019.08.007

Kianmehr H, Zhang P, Luo J, et al. Potential gains in life expectancy associated with achieving treatment goals in US adults with type 2 diabetes. JAMA Netw Open. 2022;5(4):e227705. https://doi.org/10.1001/jamanetworkopen.2022.7705

Basu S, Sussman JB, Berkowitz SA, Hayward RA, Yudkin JS. Development and validation of Risk Equations for Complications Of type 2 Diabetes (RECODe) using individual participant data from randomised trials. Lancet Diabetes Endocrinol. 2017;5(10):788–98.

Hippisley-Cox J, Coupland C, Brindle P. Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study. BMJ. 2017; 357:j2099. https://doi.org/10.1136/bmj.j2099.

Goff DC Jr, Lloyd-Jones DM, Bennett G, et al. 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-S73.

External Validation of the BRAVO Diabetes Model Using the EXSCEL Clinical Trial Data Yixue Shao . Hui Shao . Vivian Fonseca . Lizheng Shi Diabetes Ther (2023) 14:1577–1584 https://doi.org/10.1007/s13300-023-01441-1.