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  • Оценка влияния тревожно-депрессивных расстройств на приверженность к антикоагулянтной терапии среди пациентов с фибрилляцией предсердий
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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Оценка влияния тревожно-депрессивных расстройств на приверженность к антикоагулянтной терапии среди пациентов с фибрилляцией предсердий

Российский кардиологический журнал. 2022. Т. 27. № 7. С. 121–126.
Богданова Р. С., Щекочихин Д. Ю., Суворов А. Ю., Волель Б. А., Фомичева А. В., Белова С. С., Ovsyannikova V. V., Гогниева Д. Г., Копылов Ф. Ю.

Aim. To determine the possible impact of anxiety and depression disorders on the adherence of patients with atrial fibrillation (AF) to anticoagulant therapy. Material and methods. The study included outpatients with AF of any type. After signing the informed consent, patients filled out questionnaires and scales that determined the level of anxiety and personal predisposition (MMAS-8, MMAS-4, SF-36, SHAI, STAI, HADS, NEO-FFI). Results. A total of 117 outpatients treated for AF were included. The mean age of patients was 74±5 years (men, 38%). Based on MMAS-4 and MMAS-8 results, 122 Российский кардиологический журнал 2022; 27 (7) Работа выполнена при поддержке Российского фонда фундаментальных исследований, проект № 18-00-01661(К); КОМФИ 18-00-01659. Диагноз ФП ставился на основании наличия у пациента зарегистрированного эпизода аритмии с  замещением нормальных синусовых зубцов Р быстрыми волнами фибрилляции (f) различных размеров и  формы, сопровождающимися неправильными частыми сокращениями желудочков при интактном атриовентрикулярном проведении продолжительностью >30 сек [6]. В  исследование включались амбулаторные пациенты с ФП любой формы. Критерии включения: — наличие документированной ФП (согласно критериям, описанным выше); — необходимость назначения АКТ (CHA2DS2- VASс ≥1 балл у мужчин, ≥2 балла для женщин); — возраст старше 18 лет; — возможность регулярного посещения исследовательского центра на протяжении 365 дней после включения в исследование. Пациенты включались в исследование после подписания информированного согласия. Критерии исключения: — наличие таких психических расстройств, как расстройства шизофренического спектра, пароксизмальные расстройства, употребление психоактивных веществ, биполярное аффективное расстройство, депрессивные расстройства психотического уровня и высокий суицидальный риск; — наличие противопоказаний к АКТ (индивидуальная непереносимость компонентов препаратов, злокачественные новообразования желудочно-киadherent and non-adherent cohorts of patients were formed. Low adherence group had significantly higher situational anxiety according to STAI (45,9±9,9 vs 41,1±10,7, p=0,045) and depression according to HADS (7,9±3,6 vs 5,9±3,5, p=0,018). SF 36 showed that non-adherent patients had a lower general health (41,6±12,9 vs 52,2±20,0, p=0,01). Five-factor model revealed an association between low compliance and low extraversion (21,3±6,6 vs 26,4±7,2, p=0,002). Pharmacokinetic data on blood concentrations of anticoagulants or its metabolites at the second visit were available in 76 (67%) patients. Assessment of pharmacokinetic and compliance data revealed a moderate direct correlation (Matthews correlation coefficient (MCC), 0,345) and a weak direct correlation with the MMAS-8 (MCC, 0,177). The difference in MMAS-4 and MMAS-8 scores between high and low pharmacokinetic adherence groups was significant on both scales (p=0,011 and 0,015, respectively). Conclusion. The rationale for widespread introduction of standardized questionnaires and scales (MMAS 4, MMAS 8, STAI, HADS, SF 36, Big 5) was shown in order to early identify patients with low adherence to treatment. The results highlight the need for further study of the contribution of psychiatric disorders to low compliance to anticoagulant therapy.

Research target: Psychology
Language: Russian
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Keywords: complianceфибрилляция предсердий atrial fibrillationAnticoagulantsanxiety disordersdepression disordersприверженность к терапиитревожные расстройствадепрессивные расстройства
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