cardiovascularКардиоваскулярная терапия и профилактикаCardiovascular Therapy and Prevention1728-88002619-0125«SILICEA-POLIGRAF» LLC10.15829/1728-8800-2026-4494PZAXYKcardiovascular-4494Research ArticleОЦЕНКА РИСКАRISK EVALUATIONАлгоритм оценки сердечно-сосудистого риска у женщин 40 лет и старше по результатам анализа цифровых маммограммAn algorithm for assessing cardiovascular risk in women 40 years and older based on digital mammogram analysishttps://orcid.org/0000-0003-2015-4712ПлисюкА. Г.PlisyukA. G.

к.м.н., с.н.с. отдела возраст-ассоциированных заболеваний МНОИ

Москва

Moscow

apl.cardio@yandex.ruhttps://orcid.org/0000-0002-6615-4315ЯроваяЕ. Б.YarovayaE. B.

д.м.н., профессор кафедры теории вероятностей механико-математического факультета

Москва

Moscow

yarovaya@mech.math.msu.suhttps://orcid.org/0000-0002-5981-3933ДолгушинГ. О.DolgushinG. O.

врач-терапевт МНОИ

Москва

Moscow

grdolgushin@yandex.ruhttps://orcid.org/0000-0002-1266-4926МершинаЕ. А.MershinaE. A.

к.м.н., в.н.с. отдела лучевой диагностики МНОИ

Москва

Moscow

elena_mershina@mail.ruhttps://orcid.org/0009-0008-7732-4093ЦурскаяД. Д.TsurskayaD. D.

н.с. отдела лучевой диагностики МНОИ

Москва

Moscow

dashnom03@gmail.comhttps://orcid.org/0000-0003-3715-6896ФиличкинаЕ. М.FilichkinaE. M.

аспирант кафедры теории вероятностей механико-математического факультета

Москва

Moscow

elena.filichkina1999@yandex.ruhttps://orcid.org/0000-0002-3663-6305ИвлевО. Е.IvlevO. E.

аспирант кафедры теории вероятностей механико-математического факультета

Москва

Moscow

oleg.ivlev@math.msu.ruhttps://orcid.org/0000-0002-5649-2193СиницынВ. Е.SinitsynV. E.

д.м.н., профессор, зав. кафедры лучевой диагностики МНОИ

Москва

Moscow

vsini@mail.ruhttps://orcid.org/0000-0002-8160-5612ОрловаЯ. А.OrlovaYa. A.

д.м.н., профессор, зав. отделом возраст-ассоциированных заболеваний МНОИ

Москва

Moscow

5163002@bk.ruФГБОУ ВО "Московский государственный университет им. М. В. Ломоносова"РоссияLomonosov Moscow State UniversityRussian Federation20262202202625144944494Copyright © Плисюк А.Г., Яровая Е.Б., Долгушин Г.О., Мершина Е.А., Цурская Д.Д., Филичкина Е.М., Ивлев О.Е., Синицын В.Е., Орлова Я.А., 20262026Плисюк А.Г., Яровая Е.Б., Долгушин Г.О., Мершина Е.А., Цурская Д.Д., Филичкина Е.М., Ивлев О.Е., Синицын В.Е., Орлова Я.А.Plisyuk A.G., Yarovaya E.B., Dolgushin G.O., Mershina E.A., Tsurskaya D.D., Filichkina E.M., Ivlev O.E., Sinitsyn V.E., Orlova Y.A.This work is licensed under a Creative Commons Attribution 4.0 License.https://cardiovascular.elpub.ru/jour/article/view/4494Цель

Цель. Оценка количественных параметров цифровой маммографии и создание на их основе интегрированной системы оценки сердечно-сосудистого риска (ССР) у женщин >40 лет.

Материал и методы

Материал и методы. Исследование носило ретроспективный характер. Проведен анализ маммограмм 1029 пациенток в возрас- те от 40 до 75 лет, для которых были доступны данные, позволяющие оценить ССР. Изучаемые маммографические параметры: плотность и кальцинаты молочных желез. Данные, необходимые для оценки ССР, были получены из медицинских карт пациенток, получающих медицинскую помощь в амбулаторных условиях. ССР определялся как низкий, умеренный, высокий и очень высокий в соответствии с рекомендациями Российского кардиологического общества.

Результаты

Результаты. Количественная оценка параметров, полученных при профилактической маммографии, позволяет разделить пациенток на 5 групп с разной вероятностью наличия у них высокого и очень высокого ССР. C помощью однофакторной логистической регрес- сии вычислялись отношения шансов для каждой из групп по сравнению с референсом (D0). В группах D1, D2, D3 и D4 шанс наличия ССР 3-4 ст. был более, чем в 2,1, 3,5, 4,9 и в 13,8 раз, соответственно. В литературе не описаны аналогичные и альтернативные методы алгоритмов для оценки ССР по данным профилактической маммографии.

Заключение

Заключение. Создание пошагового алгоритма оценки ССР, потенциально пригодного для использования в клинической практике, позволит значительно облегчить и ускорить процесс выявления высокого ССР у женщин >40 лет без использования инвазивных методов исследования.

Aim

Aim. To evaluate quantitative digital mammography parameters and develop an integrated cardiovascular risk (CVR) assessment system based on these parameters in women over 40 years of age.

Material and methods

Material and methods. This retrospective study assessed mammograms from 1029 patients aged 40 to 75 years, for whom data were available to assess CVR. The mammographic parameters studied were breast density and calcifications. The data needed to assess the CVR were obtained from the medical records of patients receiving outpatient care. CVR was defined as low, moderate, high, and very high in accordance with the Russian Society of Cardiology guidelines.

Results

Results. Quantitative assessment of parameters obtained during preventive mammography allows us to divide patients into five groups with different probability of high and very high CVR. Using univariate logistic regression, odds ratios were calculated for each group compared to the reference value (D0). In groups D1, D2, D3, and D4, the odds of having stage 3-4 CVR were greater than 2,1, 3,5, 4,9, and 13,8 times, respectively. Similar or alternative algorithms for assessing CVR based on preventive mammography data have not been described in the literature.

Conclusion

Conclusion. The development of a step-by-step cardiovascular risk assessment algorithm, potentially suitable for clinical practice, will significantly facilitate and accelerate identifying high cardiovascular risk in women over 40 years of age without the use of invasive diagnostic methods.

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The authors declare that there are no conflicts of interest present.