Impact of anxiety disorders on adherence to anticoagulant therapy in patients with atrial fibrillation

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Abstract

Aim. To evaluate the impact of anxiety disorders on adherence to anticoagulant therapy (ACT) in patients with atrial fibrillation (AF).

Materials and methods. 179 outpatients (131 women, 48 men, mean age 69.9±6.2 years) with AF were examined. The research methods included a physical examination according to the standards of medical care in an outpatient facility, clinical and psychopathological examination using psychometric scales.

Results. Based on the assessment of adherence to ACT using the Morisky–Green test, 2 groups of patients were identified: Group 1 – patients with high adherence to ACT, Group 2 – patients with partial/low adherence to ACT. In group 1, anxiety disorders were verified in 51.7% of cases, in group 2 – 54.3%. There were no statistically significant differences in the prevalence and severity of anxiety in the study groups. In accordance with the binary logistic regression model, the probability of high adherence to therapy is determined by higher (compared with the group of patients with partial/low adherence to therapy) scores in terms of “mental health” (p<0.001), “vital activity” (p=0.02) and the total score of the SF-36 scale (p=0.08), as well as the extraversion parameter (p=0.02) of the NEO-FFI scale.

Conclusion. In the present study, no significant association was found between anxiety symptoms and a decrease in adherence to ACT in patients with AF. However, the results obtained suggest a contribution to the adherence to therapy of personality characteristics.

About the authors

Anastasia V. Fomicheva

Sechenov First Moscow State Medical University (Sechenov University)

Author for correspondence.
Email: nastassja.fomicheva@gmail.com
ORCID iD: 0000-0003-3624-0981

аспирант каф. психиатрии и психосоматики Института клинической медицины им. Н.В. Склифосовского

Russian Federation, Moscow

Daria V. Troshina

Sechenov First Moscow State Medical University (Sechenov University)

Email: nastassja.fomicheva@gmail.com
ORCID iD: 0000-0002-5046-6699

канд. мед. наук, специалист по научно-методической работе Института клинической медицины им. Н.В. Склифосовского

Russian Federation, Moscow

Anatoly N. Simonov

Mental Health Research Center

Email: nastassja.fomicheva@gmail.com
ORCID iD: 0000-0003-0564-932X

канд. биол. наук, рук. лаб. доказательной медицины и биостатистики

Russian Federation, Moscow

Philipp Iu. Kopylov

Sechenov First Moscow State Medical University (Sechenov University)

Email: nastassja.fomicheva@gmail.com
ORCID iD: 0000-0001-5124-6383

д-р мед. наук, проф., дир. Института персонализированной кардиологии

Russian Federation, Moscow

Denis A. Andreev

Sechenov First Moscow State Medical University (Sechenov University)

Email: nastassja.fomicheva@gmail.com
ORCID iD: 0000-0002-0276-7374

д-р мед. наук, проф., зав. каф. кардиологии, функциональной и ультразвуковой диагностики Института клинической медицины им. Н.В. Склифосовского

Russian Federation, Moscow

Beatrice A. Volel

Sechenov First Moscow State Medical University (Sechenov University); Mental Health Research Center

Email: nastassja.fomicheva@gmail.com
ORCID iD: 0000-0003-1667-5355

д-р мед. наук, проф., дир. Института клинической медицины им. Н.В. Склифосовского; ст. науч. сотр.

Russian Federation, Moscow; Moscow

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Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. The difference in significant indicators between the two groups: a – "extroversion" (NEO-FFI, extraversion); b – "conscientiousness" (NEO-FFI, conscientiousness); c – "general state of health" (SF-36); d – "vital activity" (SF-36); e – "role functioning, due to the emotional state" (SF-36); f – "mental health" (SF-36); g – "psychological component of health" (SF-36); h – is the total score on the SF-36 scale.

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3. Fig. 2. ROC curve for the resulting logistic regression model.

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