On the development of a systemic (biopsychosocial) prediction model for cardiovascular disease. Part I

Author:

Shchelkova O. Yu.1ORCID,Iakovleva M. V.1ORCID,Eremina D. A.1ORCID,Shindrikov R. Yu.2ORCID,Kruglova N. E.3ORCID,Gorbunov I. A.1ORCID,Demchenko E. A.4ORCID

Affiliation:

1. Saint Petersburg State University

2. Pavlov First Saint Petersburg State Medical University

3. Herzen State Pedagogical University of Russia

4. Almazov National Medical Research Centre

Abstract

The authors have attempted to design and verify by means of mathematical modelling methods a model of comprehensive (medical, social and psychological) prognosis in cardiovascular disease, which would cover different aspects of patients’ disease, treatment and life functioning and would be relevant to the objectives of the treatment and rehabilitation process. A multidisciplinary set of methods was used to accomplish the aim: clinical and psychological. The study included 437 patients with coronary heart disease and/or chronic heart failure undergoing surgical treatment.Part I of the article presents the results of the first 4 stages of the study.1) A theoretical prediction model based on existing data was developed and empirically tested on different patient populations at various stages of surgical treatment. 2) An overall information database was compiled on the basis of our own research. A total of 245 indicators were taken into account; they were expertly divided into five groups: clinical, socio-behavioural, personality  characteristics,  emotional  state  indicators,  and  cognitive  functioning  indicators.3) The missing cells in the sampling matrix were filled in by means of mathematical modelling and neural networks. 4) An exploratory factor analysis of all characteristics in the allocated groups  was  performed,  resulting  in  24 factors:  3 in  the  group  of  clinical  characteristics (“Coronary heart disease”, “Transplantation”, “Patient’s age and duration of heart failure”), 6 in the group of socio-behavioural (“Social and occupational orientation”, “Keeping a habitual lifestyle in spite of illness”, “Occupational strain”, “Lifestyle”, “Non-adherent behaviour”, “Occupational stress”), 5 in the group of personality characteristics (“Attitude towards illness”, “Motivational orientation”, “Decreased resilience”, “Irrational beliefs”, “Coping strategies and coping resources”), 4 in the group of emotional state characteristics (“Dominant emotional state and feelings”, “Quality of life and mood”, “Absence of anxiety at the moment of the study”, “Functioning in conditions of illness”), 6 in the group of characteristics of cognitive functioning (“Neuropsychological characteristics”, “Spatial–constructive thinking and pace of mental activity”, “Visual memory”, “Attention and verbal–logical thinking”, “Verbal memory”, “No significant decrease in IQ”).

Publisher

V.M. Bekhterev National Research Medical Center for Psychiatry and Neurology

Reference57 articles.

1. Bizyuk A.P., Vasserman L.I., Iovlev B.V. Psikhologicheskaya diagnostika trevogi i trevozhnosti u vzroslykh. V kn.: Psikhologicheskaya diagnostika rasstroistv emotsional’noi sfery i lichnosti. Kollekt. monogr. Nauch. red. L.I. Vasserman, O.Yu. Shchelkova. Saint Petersburg: Skifiya-print; 2014. (In Russ.).

2. Bleikher V.M., Kruk I.V., Bokov S.N. Klinicheskaya patopsikhologiya: rukovodstvo dlya vrachei i klinicheskikh psikhologov. 2-e izd., ispr. i dop. Moscow: Izd-vo Moskovskogo psikhologo-sotsial’nogo instituta; 2006. (In Russ.).

3. Bockeria LA, Kiseleva MG. Psychological factors in the occurrence and course of cardiovascular disease. Byulleten' NCSSH im. A.N. Bakuleva RAMN. 2011;12(6):24–31. (In Russ.).

4. Bokeria LA, Golukhova EZ, Sigaev IY et al. Modern approach towards surgical treatment of coronary heart disease in diabetic patients. Vestnik Rossijskoj Akademii medicinskih nauk. 2012;67(1):20–26. (In Russ.).

5. Brel’ EYu, Bokhan NA, Stoyanova IYa. Psychological structure of alexithymic space in patients with cardiovascular diseases. Obozrenie psihiatrii i medicinskoj psihologii imeni V.M. Bekhtereva. 2018;(2):90–96. (In Russ.). https://doi.org/10.31363/2313-7053-2018-2-90-96

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3