kpcczКомплексные проблемы сердечно-сосудистых заболеванийComplex Issues of Cardiovascular Diseases2306-12782587-9537Federal State Budgetary Institution “Research Institute for Complex Issues of Cardiovascular Diseases”10.17802/2306-1278-2018-7-1-84-93kpccz-398Research ArticleАНАЛИТИЧЕСКИЙ ОБЗОРANALYTICAL REVIEWПРОГНОЗИРОВАНИЕ ЗАБОЛЕВАНИЙ С ПОМОЩЬЮ ШКАЛRISK PREDICTION SCORES OF DISEASESБеляловФ. И.BelialovF. I.

Для корреспонденции: Белялов Фарид Исмагильевич, адрес: 664079, Иркутск, мкр. Юбилейный, 100

Corresponding author: Farid Belialov, address: Russian Federation, 664079, Irkutsk, 100, Microdistrict Yubileiniy

fbelyalov@mail.ruИркутская государственная медицинская академия последипломного образования – филиал федерального государственного бюджетного образовательного учреждения дополнительного профессионального образования «Российская медицинская академия непрерывного профессионального образования» Министерства здравоохранения Российской ФедерацииРоссияIrkutsk State Medical Academy of Postgraduate Education, Branch Campus of the Federal State Budgetary Educational Institution of Further Professional Education «Russian Medical Academy of Continuing Professional Education» of the Ministry of Healthcare of the Russian FederationRussian Federation201827032018718493Copyright © Белялов Ф.И., 20182018Белялов Ф.И.Belialov F.I.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.nii-kpssz.com/jour/article/view/398

Широкое использование прогностических шкал практикующими врачами требует знания воз- можностей и ограничений этих полезных диагностических инструментов. В статье рассмотрены преимущества и недостатки прогностических шкал, предложена новая классификация и сфор- мулированы принципы практического использования шкал. Также обсуждаются возможности и перспективы разработки более точных моделей прогноза заболеваний с использованием более эффективных математических инструментов.

The wide application of prediction scores requires specific knowledge of their benefits and limitations from physicians. The article discusses the benefits and limitations of the established prediction scores, proposes their new classification as well as the principles of their clinical application. The opportunities and perspectives for developing novel prediction scores using precise mathematic models are highlighted.

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